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Senior Software Engineer, Embedded Software Automation and Tools
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
With so many people using Roku’s products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive; they’re obvious. To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.
Roku’s embedded software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases.
About the role
You will work cross-functionally with various engineering teams, using your automation tooling expertise to help both firmware developers and QA to create and deliver the highest quality products that provide valuable end-user feedback to improve customer experience. This position requires Python expertise with strong experience using web frameworks, excellent debugging, written, and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery. We are looking for someone who can help us maintain this pace and continue delivering high quality as we grow.
We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in the consumer electronics space. As an engineer on the team, you will require the skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone, and relish getting your hands dirty working with user-facing products.
What you will be doing:
- Develop and release new E2E automation support and tools
- Debug issues to improve the quality of automated test tools and frameworks
- Conduct code reviews to improve code quality and optimization
- Promote coding conventions and standards for code re-usability and cleanliness
- Document feature guides, identify and formulate user requirements, and define product behavior
- Support and maintain existing automation tools and technology
- Mentor less experienced engineers and drive automation development
- Assist in monitoring and maintenance of critical systems
- Champion the adoption of AI tools and technologies to enhance automation capabilities and team productivity.
- Review and provide technical feedback on design documents and high-level architecture diagrams across multiple tools and teams, with a focus on evaluating design trade-offs, scalability, maintainability, and alignment with overall system architecture.
We're excited if you have:
- 10+ years of hands-on experience with automation systems
- 10+ years of programming experience, preferably with Python
- Bachelor’s degree in computer science or related field
- Proficient in Linux, Python-based test automation frameworks, and tools using REST APIs
- Hands-on experience in development/integration of E2E test automation frameworks and tools for embedded software devices
- Proficient use of AI tools and technologies with a proven track record as a promoter and advocate for AI adoption in software development and testing automation.
- Agentic workflow familiarity: Working knowledge of multi-step AI orchestration frameworks and the practical use of AI agents to support and streamline day-to-day development workflows.
- Experienced in developing and maintaining web-based tools using JavaScript and React/Next.js
- Experience with DevOps and continuous integration tools (Jenkins, GitLab CI, Docker, and Kubernetes)
- Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies
- Experience with unit testing frameworks – pytest/pyunit and Cypress for UI testing
- Experience developing web applications using Flask, FastAPI, Django, and Nginx
- Knowledge in using AI for increasing test automation coverage and productivity
- Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain
- Expert problem-solving and technical troubleshooting skills
- Ability to learn new technologies quickly
- A self-directed professional able to work independently
- Ability to work through ambiguous requirements and be flexible/adaptable to change
- Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US time zones
- Excellent communication and collaborative skills
Additional nice to have skills:
- Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)
- Knowledge of network technologies and libraries such as TCP/IP and HTTP
- Experience with database technologies (MySQL, PostgreSQL, MongoDB, Redis) for test data management
- Familiarity with monitoring and observability tools (Grafana, Prometheus, ELK stack, Datadog)
- Knowledge of streaming protocols and technologies (HLS, DASH, RTMP, WebRTC)
- Experience with API testing tools (Postman, REST Assured, GraphQL)
- Understanding of security testing principles and tools (OWASP, penetration testing)
- Experience with mobile testing frameworks and cross-platform testing
- Familiarity with test reporting and analytics platforms (Allure, TestRail, ReportPortal)
- Experience with infrastructure as code (Terraform, Ansible, CloudFormation)
- Knowledge of machine learning concepts for test optimization and predictive analysis
- Familiarity with Agile/Scrum methodologies and project management tools (Jira, Confluence)
- Basic understanding of hardware debugging tools and techniques for embedded systems
#LI-AB3
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer, Python (Tools Development)
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
With so many people using Roku’s products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive, they’re obvious. To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.
About the role
The Roku’s software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for SW embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases.
You will work cross-functionally with various engineering teams, using your finest automation expertise to help both FW developers and QA to create and deliver highest quality product that help in provide valuable end-user feedback to improve customer’s experience. This position requires python expertise with strong experience of using web frameworks, excellent debugging, written and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high quality as we grow.
We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in consumer electronics space. As an engineer on the team you will require skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone and relish getting your hands dirty working with user facing products
What you'll be doing
- Support and maintain existing automation tools and technology
- Develop and release new E2E automation support and tools
- Debug issues to improve the quality of automated test tools and frameworks
- Conduct code reviews to improve code quality and optimization
- Promote coding conventions and standards for code re-usability and cleanliness
- Document Feature guides, identify and formulate user requirements, product behavior
- Mentor less experienced engineers and driving automation development
- Assist in monitoring and maintenance of critical systems
We're excited if you have
- 5+ years of hands-on experience with automation systems
- 5+ years of programming experience, preferably with Python
- Bachelor’s degree in Computer Science or related
- Proficient in linux, Python based test automation frameworks and tools using REST APIs
- Hands on experience in development/integration of E2E test automation framework and tools for embedded software devices
- Experienced in developing and maintaining web based tools using Javascript, React
- Proficiency with DevOps, continuous integration tools (Jenkins, Gitlab CI, Teamcity, Docker and Kubernetes)
- Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies
- Experience with Unit Testing frameworks – pytest/pyunit and cypress, playwright for UI testing
- Experience of developing web applications using Flask, FastAPI, Django, Nginx
- Experience and knowledge of using generative AI
- Expert problem-solving and technical troubleshooting skills
- Ability to learn new technologies quickly
- A self-directed professional able to work independently
- Ability to work through ambiguous requirements and being flexible/adaptable to change
- Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US timezones
- Excellent communication and collaborative skills
- Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain
- Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)
- Knowledge of network technologies and libraries such as TCP/IP and HTTP
- Previous experience and knowledge of image processing and inferencing, creating computer vision capabilities for visual testing
#LI-AB3
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior SQA and Test Infrastructure Development Engineer
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Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.
This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.
What you’ll be doing
- Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
- Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
- Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
- Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
- Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
- Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
- Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test
What we need to see
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
- Strong proficiency in Python and experience with frameworks such as Flask or Django
- Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
- Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
- Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
- Proficiency with version control systems such as GIT or GitLab
- Strong Linux knowledge—deployment, debugging, system monitoring, and automation
- Familiarity with bash scripting and Linux‑based automation workflows
Ways to stand out from the crowd
- Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
- Experience with real‑time operating systems (RTOS) or embedded firmware development
- Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
- Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
- Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems
Bonus Qualifications – Agentic AI Tools & Intelligent Automation
Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:
- Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
- Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
- Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
- Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
- Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
- Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
- Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Senior SQA and Test Infrastructure Development Engineer
Share this job
Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.
This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.
What you’ll be doing
- Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
- Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
- Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
- Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
- Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
- Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
- Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test
What we need to see
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
- Strong proficiency in Python and experience with frameworks such as Flask or Django
- Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
- Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
- Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
- Proficiency with version control systems such as GIT or GitLab
- Strong Linux knowledge—deployment, debugging, system monitoring, and automation
- Familiarity with bash scripting and Linux‑based automation workflows
Ways to stand out from the crowd
- Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
- Experience with real‑time operating systems (RTOS) or embedded firmware development
- Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
- Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
- Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems
Bonus Qualifications – Agentic AI Tools & Intelligent Automation
Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:
- Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
- Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
- Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
- Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
- Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
- Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
- Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics
About You
You are a strong problem‑solver with excellent communication skills, comfortable working in a fast‑paced, cross‑functional environment. You take ownership, collaborate effectively across disciplines, and are motivated by building reliable, secure platforms for cutting‑edge automotive technology.
If you are passionate about embedded systems and autonomous driving and want to make a tangible impact on next‑generation vehicles, we encourage you to apply.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Lead Engineer - DevOps
Experience: 7+ years 10yrs
Location: Bangalore / Coimbatore
Who we are and What we do?
AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility.
Glimpse of our Team
The core of AppViewX lies within its robust, flexible low code platform which is being built by the architecture team. The team designs ready to consume solutions that efficiently orchestrate and meet the scalable demands of our ever-growing customers. If you are someone who would like to develop solutions using cutting-edge technologies like Kubernetes, Containers and Service Mesh and design this low code platform then this is the right place for you!!
What will you be responsible for?
- Collaborate closely with the Product Engineering team to deliver scalable and reliable solutions
- Participate in end-to-end DevOps initiatives, addressing real-world challenges in network operations
- Work effectively with cross-functional teams to plan, estimate, and execute deliverables
- Apply industry-relevant estimation techniques to support project planning and execution
- Demonstrate strong team collaboration and ownership while driving outcomes
- Continuously learn and adopt new technologies to stay current with industry trends
- Leverage network domain expertise (preferred) to enhance solution design and troubleshooting
What do we require?
- Linux/Unix administration (Redhat/Centos preferred)
- Strong coding skills in Python combined with problem-solving skills
- Experience with AWS/Azure/Google Cloud
- In depth knowledge of Docker containers and Kubernetes.
- Hands-on experience with Helm charts and terraform scripting.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Hands on experience with CI and CD tools (Jenkins, Nexus, Gitlab Etc.)
- Experience in working with microservices environments.
- Strong inclination for automation and test-driven development.
- Strong work ethic and ability to own projects/components
What do we desire?
- Experience with anyone of the web development frameworks (Flask/Django/Bottle) and experience with restful APIs.
- Hands-on experience with Configuration Management tools like ansible/puppet
- Experience in VMware/OpenStack/KVM/Proximo platform management is an added advantage
- Knowledge of Istio, Amazon EKS and GKE
- Working knowledge on NoSQL databases (MongoDB)
- Working Knowledge of ELK, Kibana, Grafana and Hashi Corp Vault/Consul.
- Excellent verbal and written communication skills
What brings us together?
What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!
What’s more in store?
AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.
What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.
Why AppViewX?
AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquarters in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.
AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.
Ready to apply?
Apply to AppViewX
Tebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging.
About the Role
As a Principal Software Engineer, you'll lead architectural decisions, write code, and solve complex technical problems while driving collaboration across teams to ensure successful outcomes. You'll be a mentor and thought leader, flexing between hands-on coding and high-level strategic leadership. Crucially, you will spearhead our AI transformation, driving the integration of artificial intelligence into our product features and revolutionizing our engineering workflows. If you're passionate about setting technical standards, championing AI innovation, solving challenging problems, and shaping the future of software, this is your chance to make a significant impact.
Your Area of Focus
- Drive AI Transformation: Lead the strategy and execution of integrating AI capabilities into our core product, while adopting AI tools to accelerate internal team workflows and the software development lifecycle (SDLC).
- Establish Expertise: Develop deep product, technology, and AI ecosystem knowledge.
- Architect & Build: Lead architecture and write code for complex, highly scalable systems and AI-driven features.
- Problem Solving: Creatively solve complex problems with a focus on delivering value to our customers.
- Cross-Functional Collaboration: Partner across multiple teams to drive successful outcomes and champion AI adoption.
- Technical Governance: Actively review architecture and technical approaches, ensuring organizational alignment and future-proof AI strategies.
- Mentorship: Provide tangible and actionable technical feedback to engineers, actively upskilling the team on modern AI engineering practices.
Your Professional Qualifications
- Experience: 12+ years of software engineering experience with 8+ years of technical leadership experience.
- AI Leadership: Proven track record of leading AI initiatives, integrating LLMs/Generative AI into commercial products, and optimizing developer workflows using AI tooling (e.g., GitHub Copilot, Cursor, etc.).
- Languages: Python, Java, JavaScript.
- Frameworks: Vue, React, Flask, SpringBoot (Experience with AI orchestration frameworks like LangChain or LlamaIndex is a strong plus).
- Databases: MySQL, Oracle, Postgres, DynamoDB, Firestore (Familiarity with Vector Databases is highly desirable).
- Cloud: AWS, GCP.
- Adaptability: Flex time spent coding from 10% to 90% as needed by team(s).
- Drive: Tenacity and creativity to solve difficult problems with a focus on our customers, coupled with a desire to blaze the trail on less-glorious engineering tasks that are important to the business.
- Influence: Strong technical mentor and sounding board for teams. Technical acumen and collaborative spirit that garners respect from engineering team members and leaders.
- Continuous Improvement: Continually identify opportunities to improve software and processes (especially via AI) and propose concrete plans to leadership.
- Standard Setting: Leader in establishing best practices and standards for the engineering organization.
- Communication: Communicate complex technical and AI-related information in a clear and concise manner to a variety of audiences.
- Evaluation: Ability to perform deep technical assessments of existing and potential new technologies, particularly in the rapidly evolving AI landscape.
(For Recruiter use only) #LI-SS1 #LI-Remote
In compliance with California's pay transparency laws, the compensation range for this position will be provided and may include an hourly rate, annual salary, or On-Target Earnings (OTE), depending on the nature of the role. The specific compensation structure and detailed range will be discussed with qualified candidates during the initial talent screen.
About Tebra
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. Designed to replace the clunky, fragmented tools built for corporate systems, Tebra connects EHR software, billing, automation, telehealth solution, and marketing — so providers can spend less time on admin and more time with patients. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout — helping clinicians leave work on time and rediscover their purpose. Learn more at www.tebra.com.
Our Values
Start with the Customer
We get to know our customers - and their patients - and look at the world through their lens.
Keep It Simple
Healthcare is too complex. We aim to simplify it for everyone.
Stay Entrepreneurial
We reject the status quo and solve problems with creativity, perseverance, and a bias to action.
Better Together
We are diverse, humble, and collaborative. We put the team first and win together.
Celebrate Success
Life is short and joy is underrated. We take time to have fun and celebrate success.
Perks & Benefits
United States: In addition to our healthcare benefits, we also offer amazing perks! Need work from home basics? We offer a discount through Dell! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for a great workout, or TelusEmployee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
Costa Rica: To assist with all of life’s needs, Tebra also offers a wellness and childcare subsidy and a University/Education discount! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for access to health and fitness apps, or Telus Employee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
Compliance & Privacy Disclosures
NOTE: Tebra is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
California residents who apply or are recruited for a job with us: please carefully review our California-specific Privacy Notice under the California Consumer Protection Act here: https://www.tebra.com/privacy-policy/california-supplemental-notice/
If you would like to report a fraudulent Tebra job posting, please contact us at talentacquisition@tebra.com and consider reporting your experience to the FBI's Internet Crime Complaint Center or the Better Business Bureau to help keep others safe online, too.
As part of our commitment to a fair and efficient hiring process, Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings. This technology records and transcribes interviews to help us ensure consistency, reduce bias, and make more informed hiring decisions. By applying for this position, you acknowledge that your interview may be recorded.
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Principal Software Engineer
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With 1,000+ intelligence professionals serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company!
Recorded Future is seeking a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph. As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.
What You'll Do:
- Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
- Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
- Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
- Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
- Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
- Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
- Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
- Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.
What You'll Bring:
- At least 5 years of experience in data engineering, backend engineering, or platform engineering.
- Strong proficiency in Python, with experience in Go or Rust considered a plus.
- Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.
- Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.
- Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.
- Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.
- Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
- Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.
- Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.
- Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
- Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
- Comfort working with high-volume, complex, and unstructured data.
- Strong problem-solving skills, including the ability to debug both software and data issues.
- Excellent attention to detail and ability to work independently while delivering high-quality results.
- Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.
- Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.
Preferred Qualifications:
- Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.
- Experience working with graph-based data systems or security intelligence platforms.
The base salary range for this full-time position is $152,000-$228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.
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Why should you join Recorded Future?
Recorded Future employees (or “Futurists”), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.6-star user rating on G2 and more than 50% of Fortune 100 companies as customers.
Want more info?
Blog & Podcast: Learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence
Linkedin, Instagram & Twitter: What’s happening at Recorded Future
The Record: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field
Timeline: History of Recorded Future
Recognition: Check out our awards and announcements
We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day.
If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com
Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law.
Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant.
Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts, and in alignment with our hiring practices across all jurisdictions.
Recorded Future maintains a drug-free workplace.
Note: Our interview process for all final-round candidates requires a mandatory in-person interview or a live, scheduled video conference with the hiring manager. We do not conduct interviews via instant messaging or text. All communications during the application process will come from individuals within our HR department via their Recorded Future email address.
Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes.
Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid.
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Sr. Member of Technical Staff
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras Systems Inc. has multiple openings for Sr. Member of Technical Staff
Title: Sr. Member of Technical Staff
Job Duties:
- Design and develop software features that support system resiliency and high availability, including automated recovery mechanisms and fault-tolerant architecture across distributed environments.
- Develop and maintain cloud-based deployment workflows for AI inference software using AWS tools and services to support low-latency and scalable system performance.
- Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
- Use parallel programming techniques (e.g., multi-threading, asynchronous processing) to maximize resource efficiency on AWS compute instances.
- Develop software components to support visualization and analysis of system performance metrics, enhancing the monitoring and usability of inference services. ⠀
- Develop inference software in Docker containers and define Kubernetes orchestration strategies that ensure software reliability and efficient scaling.
- Develop automated scripts to detect and mitigate common failure modes, improving software system reliability.
- Debug issues related to model deployment, container orchestration, networking configurations, documenting steps to reproduce and root-cause defects.
- Triage and resolve defects in the software service by analyzing logs, metrics, and distributed traces using tools like AWS CloudWatch, Grafana, or custom Python scripts.
- Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
- Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
- Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.
Minimum Requirements:
Master’s degree or foreign equivalent degree in Computer Science, or a related field and 18 months of experience as Information Security Analyst, Software Engineer, Sr. Member of Technical Staff, IT Senior Applications Engineer, or a related occupation required.
The required experience must include 18 months of experience with the following:
- Infrastructure-as-Code and deployment automation:Terraform, AWS CloudFormation, AWS CDK, and Ansible;
- Containerization and orchestration:Docker, Kubernetes, AWS EKS, AWS Elastic Container Service (ECS), AWS Fargate, and Helm;
- Compute and serverless services: AWS EC2, AWS Lambda functions, and Auto Scaling Groups;
- Monitoring, logging, and distributed tracing: AWS CloudWatch, AWS X-Ray, ELK (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana;
- Programming languages and frameworks: Python, Node.js, JavaScript, and Flask;
- Data storage and caching: PostgreSQL, Redis, and NFS; and
- CI/CD and version control: Jenkins and Git
Additional Information:
Employer’s name: Cerebras Systems Inc.
Job site : 1237 E Arques Avenue, Sunnyvale, CA 94085
Telecommuting permitted
Salary Range: $230,000.00 per year to $250,000.00 per year
If you are interested in applying for this position, please apply online on this web page or mail resume to HR at Cerebras Systems Inc., 1237 E Arques Avenue, Sunnyvale, CA 94085. Please reference Job # 142 on resume or cover letter.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Principal Scientist, Vector Biology
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking an Principal Scientist, Vector Biology as part of the Vector Biology Upstream team based in Philadelphia, PA.
Role Overview
Legend Biotech seeks a highly experienced and scientifically driven Principal Scientist to join the Vector Biology Upstream team in Philadelphia, with a strategic focus on early process development and the establishment of a manufacturable lentiviral vector (LVV) platform in support of in-vivo CAR-T programs. This senior individual contributor role will serve as a scientific cornerstone within R&D, leading the early-stage definition, interrogation, and optimization of upstream LVV processes from molecular construct design through scalable bioreactor manufacturing with the deliberate intent of building a robust, developable process foundation that can be advanced into late-stage development and commercialization. The Principal Scientist will bring a rare combination of molecular biology depth and bioprocess engineering breadth, functioning as a key technical authority who bridges construct-level design decisions with upstream process outcomes, while closely interfacing with Downstream, Analytical, and Technical Development partners to ensure end-to-end process coherence and readiness for technology transfer.
Key Responsibilities
- Establish and optimize early-stage seed train strategies from shake flask through bench-scale bioreactor, defining the foundational process parameters, cell culture conditions, and operational ranges that will underpin a scalable and manufacturable LVV platform.
- Apply molecular biology expertise to evaluate LVV constructs encompassing plasmid architecture, packaging system selection, promoter and transgene configuration, and transfer vector optimization to establish high-performing, platform-compatible vectors that meet manufacturability and potency requirements for in-vivo CAR-T applications.
- Design and optimize LVV production workflows, including transient transfection systems and emerging stable producer cell line platforms, to systematically improve vector yield, product quality attributes, and process robustness as part of an integrated early process development strategy.
- Conduct systematic media optimization, feeding strategy evaluation, and bioreactor process control development to define process setpoints, identify critical process parameters (CPPs), and establish the mechanistic understanding needed to support scale-up to 40-L and beyond.
- Partner closely with Downstream colleagues to understand purification process constraints and integrate upstream design decisions including harvest conditions, clarification approaches, and vector quality attributes that enable a cohesive, end-to-end manufacturable process.
- Design and execute fit-for-purpose early process development studies to generate the foundational data packages required for process lock, comparability assessments, and downstream regulatory filings; apply structured Design of Experiments (DoE) and risk-based approaches to maximize information yield.
- Serve as the upstream scientific lead within Vector Biology, providing authoritative technical input to cross-functional forums on construct-process relationships, early development strategy, and the stage-appropriate advancement of research findings into formal process development programs aligned with IND-enabling timelines.
- Exercise a high degree of scientific independence in designing and executing complex experiments; proactively identify technical risks, generate mechanistic hypotheses, and implement data-driven solutions with minimal oversight to keep early development programs on track.
- Synthesize complex experimental datasets into clear, structured data packages and deliver evidence-based technical recommendations that drive go/no-go decisions, inform process development strategy, and support program progression within Vector Biology and across R&D functional teams.
- Author high-caliber technical reports, early process development summaries, and stage-gate presentations that communicate scientific progress, key process decisions, and development risk assessments to Vector Biology leadership and cross-functional R&D stakeholders.
- Operate in full adherence to BSL-2 biosafety requirements and Legend Biotech’s research policies; maintain rigorous, contemporaneous electronic laboratory notebook records that meet scientific reproducibility standards and support future transition into GxP-aligned development stages.
- Champion experimental reproducibility and data integrity through rigorous, organized documentation practices that meet the highest standards of scientific rigor and regulatory traceability.
- Apply molecular biology expertise to design, engineer, and evaluate LVV constructs encompassing plasmid architecture, packaging system selection, promoter and transgene configuration, and transfer vector optimization to establish high-performing, platform-compatible vectors that meet manufacturability and potency requirements for in-vivo CAR-T applications.
Requirements
- MS degree with 10+ years; or PhD degree with ~5-8+ years of progressive industry experience in Bioengineering, Cell Biology and Chemical Engineering, or a closely related discipline. Advanced degree (PhD) with a molecular biology or virology foundation is preferred for this Principal Scientist role in early process development.
- Demonstrated hands-on expertise in viral vector production, upstream process development, and characterization across multiple development scales, with a clear track record of translating early research-stage processes toward manufacturable, scalable platforms (required).
- Substantial experience in mammalian suspension cell culture and upstream bioprocessing, with meaningful exposure to molecular biology workflows relevant to viral vector construct engineering.
- Experience with bioreactor operations (up to 50 L preferred) and familiarity with downstream processing operations including clarification, chromatographic purification, and tangential flow filtration with the ability to apply downstream process constraints to upstream design decisions is a strong differentiator.
- Meaningful early process development experience within gene therapy or viral vector platforms, with direct hands-on contribution to defining manufacturable upstream processes from concept through bioreactor scale.
- Exceptional analytical acumen and structured scientific reasoning; experienced in the application of Design of Experiments (DoE), multivariate data analysis, and risk-based decision frameworks to accelerate early process development and maximize learning efficiency.
- Demonstrated commitment to scientific rigor and research data integrity, with proficiency in maintaining meticulous, contemporaneous electronic laboratory notebook records that ensure experimental reproducibility and are structured to support future GxP-aligned technology transfer activities.
- Highly organized and execution-oriented, with demonstrated capacity to manage multiple concurrent early development workstreams, prioritize effectively in a fast-paced R&D environment, and deliver scientifically sound results within program-driven timelines.
- Exemplary oral and written communication skills, with the ability to translate complex early process development findings into compelling scientific narratives for diverse audiences including R&D leadership, CMC colleagues, and cross-functional program teams while operating with equal effectiveness as a self-directed scientific contributor and an engaged collaborative partner
- Proficiency in molecular biology techniques central to viral vector construct design, including plasmid architecture and engineering, packaging system configuration, promoter selection and regulatory element optimization, transgene design, and transfer vector development to support LVV platform optimization (preferred).
- Working knowledge of downstream processing operations —encompassing harvest and clarification strategies, affinity and ion-exchange chromatography, and tangential flow filtration — with the scientific acuity to incorporate purification process requirements and vector quality attribute targets into upstream process design; experience in integrated upstream-downstream process development is preferred.
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Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
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About Us
We are Sila, a next-generation battery materials company. Our mission is to power the world’s transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world?
Who You Are
You are a product-minded, forward-deployed, software application developer who bridges the gap between sophisticated data modeling and world-class user experiences. You believe that back-end data is only as valuable as the interface that makes it actionable. You are as comfortable architecting a high-performance Snowflake schema as you are crafting an intuitive React component. You thrive on being embedded with your users, translating the complex needs of battery engineers and operations into elegant software that serves as a "single source of truth."
Responsibilities and Duties
- Embedded Product Development: Work directly with Engineering, Operations, Battery Teams, Finance, and Supply Chain teams to identify bottlenecks and build bespoke software solutions that accelerate our "bits-to-atoms" cycle.
- Modern Front-End Engineering: Design and implement sophisticated, responsive user interfaces using React and modern state management libraries. Focus on creating high-density data visualizations that make complex battery performance data easy to interpret.
- Application Data Layer Architecture: Design and evolve Snowflake schemas and data models specifically optimized for high-performance application interfaces. You will ensure the data layer supports both rapid transactional workflows and deep analytical exploration.
- Data Orchestration: Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application-ready schemas, ensuring end-to-end data integrity.
- Modern Observability: Use Datadog, Sumo Logic, and StatsD to monitor user interaction patterns and application health, ensuring high availability for business-critical workflows.
- AI-Forward Features (RAG): Deploy Retrieval-Augmented Generation (RAG) patterns to build "smart" tools that allow our engineering teams to query technical specs, experimental results, and financial data using natural language.
Knowledge and Skill Requirements
- Front-End Mastery: Expert proficiency in React, TypeScript, and modern CSS-in-JS or Tailwind. Experience with data visualization libraries (e.g. Plotly, or Bokeh) is highly preferred.
- Application Backend: Expert proficiency in Python (FastAPI, Flask)
- Application Data Modeling: Advanced experience with Snowflake and dbt. You should be able to demonstrate how you design schemas—including graph-based relationships—to solve specific application and user-workflow problems.
- User-Centric Design: You should have a clear philosophy on how to make complex data-entry and data-analysis workflows intuitive.
- Workflow Orchestration: Experience with Airflow or similar tools to manage application-specific data transformations.
- Hands-on experience with Infrastructure as Code (Terraform), CI/CD and container orchestration (Kubernetes).
- Practical experience building RAG architectures and integrating LLMs into production application workflows.
- Native Mobile App Development: Experience deploying native iOS applications for internal business purposes
- B.S. or M.S. in Computer Science, Human-Computer Interaction, or a related engineering field.
- 6+ years for MS, 8+ years for BS of professional software development experience, preferably in hardware product technology and/or manufacturing environments
- A proven track record of building complex internal tools for Operations, Engineering, Battery Teams, Finance, or Supply Chain teams that emphasize user-centric design and high data density.
- Strong bias for action and the ability to work autonomously in a fast-paced, multidisciplinary environment.
Physical Demands and Working Conditions
- Move long distances (such as from building to building) and be stationary for extended periods of time
- Operate a computer and other office equipment, such as a laptop, copier/printer, etc in a fixed location
The starting base pay for this role is between $152,000 and $192,000 at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila’s competitive Total Rewards package that can include benefits, perks, equity, and bonuses. The base pay range is subject to change and may be modified in the future.
Working at Sila
We believe that building a diverse team at Sila helps us amplify our individual talents. We are an equal opportunity employer and committed to creating an inclusive environment where good ideas are free to come from anyone. We are proud to celebrate diversity and all qualified applicants are considered for employment without regard to gender, race, sexual orientation, religion, age, disability, national origin, or any other status protected by law.
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Come Work With Us:
Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.
Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.
The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.
We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at MCBankNY.com.
Position Summary:
Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).
Standard 4-day in-office requirement, 1 day remote (of your choosing)
Essential Functions & Responsibilities
Production Architecture & AIOps
- Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services.
- Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management.
- Design and maintain scalable software applications with integrated AI/ML capabilities.
- Develop software architecture and design patterns to ensure performance and scalability.
- Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go).
- Implement and manage data pipelines for preprocessing and transforming data for AI/ML models.
- Integrate AI/ML models into production environments and optimize for reliability and scalability.
- Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions.
- Conduct code reviews and provide technical guidance to junior developers.
- Stay current with advancements in software engineering and AI/ML technologies.
- Adhere to agile and lean software development best practices.
- Thoroughly document all developed models and processes according to relevant policies and standards.
- Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank.
Cross-Functional Collaboration
- Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms.
- Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback.
Scaling & Performance
- Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability.
- Optimize model serving using techniques like model compression, caching, and hardware acceleration.
Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues).
Qualifications & Skills:
- 6+ years of experience
- Master’s or PhD in a relevant field (Computer Science, Software Engineering, Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML
- LLM & GenAI Mastery: Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases. Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures.
- MLOps & Cloud Infrastructure: Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows. Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments. Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow).
- Full-Stack Development: Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering.
- Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML.
- Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams).
- Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets.
- Strong understanding of AI/ML algorithms, application architecture, and design patterns.
- Excellent problem-solving, analytical, communication, and collaboration skills.
Preferred Qualifications & Skills
- Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics).
- Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling.
- Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams.
- Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber).
- Ability to work in a constantly evolving environment.
- Excellent written and verbal communication skills.
- Strong listening and teaching abilities.
- Demonstrated analytical, troubleshooting, and problem-solving skills.
- Quick learner of new technologies.
- Self-directed with strong technology and communication skills.
- Ability to synthesize multiple sources of information and understand the broader operational context of the Bank.
- Collaborative team player with a practical and creative approach in a dynamic work environment.
- Ability to handle ambiguity, multitask, and adapt quickly to changing priorities.
Potential Salary: $130,000 - $200,000 annually
This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.
Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Ready to apply?
Apply to Metropolitan Commercial BankAt Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.
We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.
This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.
At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.
You Will:
- Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
- Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
- Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
- Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
- Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
- Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
- Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.
Ideally, You Have:
- 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
- Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
- Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
- Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
- Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
- Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
- Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.
Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIAt Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.
We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.
This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.
At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.
You Will:
- Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
- Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
- Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
- Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
- Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
- Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
- Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.
Ideally, You Have:
- 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
- Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
- Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
- Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
- Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
- Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
- Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.
Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI
Staff Engineer - User Experience (Backend)
Share this job
About Us
We’re looking for a Staff Engineer - User Experience (Backend) to join our Patient Platform team and shape the systems that power patient-facing experiences across our health technology platform. This team owns the APIs, orchestration services, and communication infrastructure that enable secure, reliable interactions between patients and our platform (Email, SMS, notifications).
We are at a critical stage of growth, scaling our platform, modernizing legacy services, and strengthening our event-driven architecture to support increasing patient volume and communication complexity. This role will play a central part in defining how our backend systems evolve as we scale.
As a Staff Engineer - User Experience (Backend), you will be the technical authority for the Patient Platform domain, translating architectural strategy into scalable, production-ready distributed systems in partnership with cross-functional teams. You will drive the evolution of our API-first architecture (including BFF and orchestration patterns), define and enforce API contracts, and modernize tightly coupled services into scalable, event-driven components.
This is an opportunity for a senior technical leader who thrives in ambiguity, moves pragmatically, and enjoys balancing hands-on engineering with architectural influence.
You will strengthen reliability, observability, and fault tolerance across distributed systems, scale and harden our patient communication platform (Email, SMS, notifications), and design secure systems handling sensitive patient and identity data in regulated environments. Additionally, you will champion best practices in automated testing, CI/CD, and secure development while elevating engineering standards through mentorship, design reviews, and technical leadership.
This is a fully remote role, open to candidates based in Ontario, with flexibility to collaborate across Pacific and Eastern time zones.
Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!
What You’ll Do
- Lead design and modernization of our patient-facing backend services
- Drive API design best practices, including BFF and orchestration patterns
- Define and enforce API contracts and cross-service communication standards
- Design and implement event-driven workflows using AWS EventBridge and async messaging
- Improve reliability and fault tolerance of communication pipelines (email, SMS, notifications)
- Ensure secure authentication and authorization is consistently implemented across APIs
- Untangle tech debt and make high-leverage decisions that improve engineering velocity
- Design secure, scalable systems that handle sensitive patient and identity data
- Mentor engineers across the team and elevate system design standards
- Collaborate cross-functionally with Product, Architecture, Security, QA, Clinical, and Frontend teams
- Communicate complex technical concepts clearly to cross-functional stakeholders and leadership, influencing architectural direction and product decisions
- Advocate for improvements in developer experience, testing practices, and system observability
What You’ll Bring
- 10+ years of backend engineering experience, including platform or high-scale distributed systems
- Strong experience in Python (FastAPI, Flask) or similar modern backend frameworks
- Deep expertise designing event-driven architectures in AWS (EventBridge, SQS/SNS, Lambda, ECS)
- Experience building and operating async task processing systems (e.g., Celery or similar)
- Proven ability to define and govern REST and/or GraphQL APIs at scale
- Strong understanding of service boundaries, microservices, and async service-to-service communication
- Experience designing highly observable systems (metrics, tracing, alerting — e.g., Datadog or similar)
- Experience implementing secure authentication and authorization (OAuth2, JWT, service-to-service security)
- Experience working with Postgres, DynamoDB, and distributed caching systems (e.g., Redis)
- Familiarity with Infrastructure as Code (Terraform/CDK) and mature CI/CD practices
Experience designing systems in regulated environments handling sensitive data (HIPAA, PHI/PII) - Excellent technical communication skills and demonstrated cross-team architectural influence
- Ability to operate effectively in ambiguity and drive clarity across teams
Nice to Have
- Experience building or scaling communication platforms (email delivery systems, SMS gateways, notification orchestration)
- Familiarity with BFF patterns supporting React or modern frontend applications
- Hands-on experience with contract testing frameworks (e.g., Pact)
- Experience navigating the challenges of a startup transitioning into a scale-up
- Experience with healthcare or regulated environments (HIPAA, PHI/PII)
- Familiarity with security and privacy standards (e.g., HIPAA, ISO 27001, ISO 13485)
Our Values
First: we are Pioneers
- Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.
Second: we are Platform-Builders
- We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.
Above all: we are Patients
- We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.
What We Offer
- An avenue to make a positive impact on people's lives and their health
- We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member
- Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
- Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize
- Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
- We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
- Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
- The base salary for this role ranges from $180,000- $210,000 in local currency, depending upon experience and geographic location
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.
Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.
Ready to apply?
Apply to Prenuvo
Staff Engineer - User Experience (Backend)
Share this job
About Us
We’re looking for a Staff Engineer - User Experience (Backend) to join our Patient Platform team and shape the systems that power patient-facing experiences across our health technology platform. This team owns the APIs, orchestration services, and communication infrastructure that enable secure, reliable interactions between patients and our platform (Email, SMS, notifications).
We are at a critical stage of growth, scaling our platform, modernizing legacy services, and strengthening our event-driven architecture to support increasing patient volume and communication complexity. This role will play a central part in defining how our backend systems evolve as we scale.
As a Staff Engineer - User Experience (Backend), you will be the technical authority for the Patient Platform domain, translating architectural strategy into scalable, production-ready distributed systems in partnership with cross-functional teams. You will drive the evolution of our API-first architecture (including BFF and orchestration patterns), define and enforce API contracts, and modernize tightly coupled services into scalable, event-driven components.
This is an opportunity for a senior technical leader who thrives in ambiguity, moves pragmatically, and enjoys balancing hands-on engineering with architectural influence.
You will strengthen reliability, observability, and fault tolerance across distributed systems, scale and harden our patient communication platform (Email, SMS, notifications), and design secure systems handling sensitive patient and identity data in regulated environments. Additionally, you will champion best practices in automated testing, CI/CD, and secure development while elevating engineering standards through mentorship, design reviews, and technical leadership.
We have a strong preference for candidates based in Vancouver, BC who are able to work in a hybrid capacity. However, we are open to remote candidates across Canada.
Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!
What You’ll Do
- Lead design and modernization of our patient-facing backend services
- Drive API design best practices, including BFF and orchestration patterns
- Define and enforce API contracts and cross-service communication standards
- Design and implement event-driven workflows using AWS EventBridge and async messaging
- Improve reliability and fault tolerance of communication pipelines (email, SMS, notifications)
- Ensure secure authentication and authorization is consistently implemented across APIs
- Untangle tech debt and make high-leverage decisions that improve engineering velocity
- Design secure, scalable systems that handle sensitive patient and identity data
- Mentor engineers across the team and elevate system design standards
- Collaborate cross-functionally with Product, Architecture, Security, QA, Clinical, and Frontend teams
- Communicate complex technical concepts clearly to cross-functional stakeholders and leadership, influencing architectural direction and product decisions
- Advocate for improvements in developer experience, testing practices, and system observability
What You’ll Bring
- 10+ years of backend engineering experience, including platform or high-scale distributed systems
- Strong experience in Python (FastAPI, Flask) or similar modern backend frameworks
- Deep expertise designing event-driven architectures in AWS (EventBridge, SQS/SNS, Lambda, ECS)
- Experience building and operating async task processing systems (e.g., Celery or similar)
- Proven ability to define and govern REST and/or GraphQL APIs at scale
- Strong understanding of service boundaries, microservices, and async service-to-service communication
- Experience designing highly observable systems (metrics, tracing, alerting — e.g., Datadog or similar)
- Experience implementing secure authentication and authorization (OAuth2, JWT, service-to-service security)
- Experience working with Postgres, DynamoDB, and distributed caching systems (e.g., Redis)
- Familiarity with Infrastructure as Code (Terraform/CDK) and mature CI/CD practices
Experience designing systems in regulated environments handling sensitive data (HIPAA, PHI/PII) - Excellent technical communication skills and demonstrated cross-team architectural influence
- Ability to operate effectively in ambiguity and drive clarity across teams
Nice to Have
- Experience building or scaling communication platforms (email delivery systems, SMS gateways, notification orchestration)
- Familiarity with BFF patterns supporting React or modern frontend applications
- Hands-on experience with contract testing frameworks (e.g., Pact)
- Experience navigating the challenges of a startup transitioning into a scale-up
- Experience with healthcare or regulated environments (HIPAA, PHI/PII)
- Familiarity with security and privacy standards (e.g., HIPAA, ISO 27001, ISO 13485)
Our Values
First: we are Pioneers
- Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.
Second: we are Platform-Builders
- We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.
Above all: we are Patients
- We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.
What We Offer
- An avenue to make a positive impact on people's lives and their health
- We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member
- Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
- Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize
- Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
- We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
- Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
- The base salary for this role ranges from $180,000- $210,000 in local currency, depending upon experience and geographic location
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.
Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.
Ready to apply?
Apply to Prenuvo
About Us
At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".
We are changing healthcare and bringing a slow moving goliath of an industry into the present while blazing a trail into the future of radiology and clinical operations through software, automation and AI. We are looking for a Staff Full Stack Engineer to join our Clinical Engineering team! This position offers the flexibility to work both remotely and in-office, allowing you to contribute to our mission from anywhere while also collaborating closely with our teams in person when necessary
There is a preference for candidates based in Toronto for a hybrid work model to allow for better collaboration, however, the team is open to remote candidates across the U.S. and Canada who can work Eastern Standard Time (EST) hours.
You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health. Your ideal work environment is a space in which it is safe to experiment, challenge yourself and others, but also to fail and learn!
Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!
What You’ll Do
- Improving system quality by identifying issues and common patterns, and developing standard operating procedures
- Enhancing applications by identifying opportunities for improvement, making recommendations and designing and implementing systems.
- Maintaining and improving existing codebases and peer review code changes.
- Liaising with colleagues to implement technical designs
- Investigating and using new technologies where relevant
- Providing written knowledge transfer material
What You’ll Bring
- 10+ years solving technical challenges with your strong command of back-end tech stack (primarily Python, GraphQL and frameworks like Flask and/or FastAPI) and front-end tech stack (primarily React, Typescript, and Redux)
- We consider having experience in other tech stacks (like Java and/or NodeJS, AngularJS, VueJS, MobX) and frameworks (like Django) as a huge bonus
- We consider nice to have experience in Digital Imaging and Communications in Medicine (PACS,OHIF, DICOM, FDA, ISO 14971, ISO 13485, Electronic Medical Record, Healthlake Imaging, Medical Imaging)
- Strong experience and knowledge of different types of databases (like SQL and/or NoSQL - primarily Postgres and/or DynamoDB)
- We consider nice to have experience in graphic libraries (like OpenGL, Verge3D, Babylon.js, PyQt5, Tkinter)
- Experience in different CI/CD pipelines (like CircleCI, Jenkins or TravisCI) we also consider as a bonus as well as cloud experience (like AWS, GCP and/or Azure)
- Candidates with Bachelor’s Degree in Computer Science or a related field, equivalent experience or evidence of exceptional ability to help elevate the team are always welcome
- Outstanding all-round communication skills and ability to work collaboratively
- Proficiency in troubleshooting software issues and debugging a large codebase
Our Values
First: we are Pioneers
- Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.
Second: we are Platform-Builders
- We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.
Above all: we are Patients
- We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.
What We Offer
- An avenue to make a positive impact on people's lives and their health
- We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member
- Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
- Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize
- Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
- We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable!
- Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions.
- We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
- The base salary for this role ranges from $166,000 to $249,000 USD per year, depending upon experience and geographic location
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.
Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.
Ready to apply?
Apply to Prenuvo
About Us
At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".
We are changing healthcare and bringing a slow moving goliath of an industry into the present while blazing a trail into the future of radiology and clinical operations through software, automation and AI. We are looking for a Staff Full Stack Engineer to join our Clinical Engineering team! This position offers the flexibility to work both remotely and in-office, allowing you to contribute to our mission from anywhere while also collaborating closely with our teams in person when necessary
There is a preference for candidates based in Toronto for a hybrid work model to allow for better collaboration, however, the team is open to remote candidates across the U.S. and Canada who can work Eastern Standard Time (EST) hours.
You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health. Your ideal work environment is a space in which it is safe to experiment, challenge yourself and others, but also to fail and learn!
Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!
What You’ll Do
- Improving system quality by identifying issues and common patterns, and developing standard operating procedures
- Enhancing applications by identifying opportunities for improvement, making recommendations and designing and implementing systems.
- Maintaining and improving existing codebases and peer review code changes.
- Liaising with colleagues to implement technical designs
- Investigating and using new technologies where relevant
- Providing written knowledge transfer material
What You’ll Bring
- 10+ years solving technical challenges with your strong command of back-end tech stack (primarily Python, GraphQL and frameworks like Flask and/or FastAPI) and front-end tech stack (primarily React, Typescript, and Redux)
- We consider having experience in other tech stacks (like Java and/or NodeJS, AngularJS, VueJS, MobX) and frameworks (like Django) as a huge bonus
- We consider nice to have experience in Digital Imaging and Communications in Medicine (PACS,OHIF, DICOM, FDA, ISO 14971, ISO 13485, Electronic Medical Record, Healthlake Imaging, Medical Imaging)
- Strong experience and knowledge of different types of databases (like SQL and/or NoSQL - primarily Postgres and/or DynamoDB)
- We consider nice to have experience in graphic libraries (like OpenGL, Verge3D, Babylon.js, PyQt5, Tkinter)
- Experience in different CI/CD pipelines (like CircleCI, Jenkins or TravisCI) we also consider as a bonus as well as cloud experience (like AWS, GCP and/or Azure)
- Candidates with Bachelor’s Degree in Computer Science or a related field, equivalent experience or evidence of exceptional ability to help elevate the team are always welcome
- Outstanding all-round communication skills and ability to work collaboratively
- Proficiency in troubleshooting software issues and debugging a large codebase
Our Values
First: we are Pioneers
- Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.
Second: we are Platform-Builders
- We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.
Above all: we are Patients
- We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.
What We Offer
- An avenue to make a positive impact on people's lives and their health
- We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member
- Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
- Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize
- Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
- We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
- Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
- The base salary for this role ranges from $180,000 to $210,000 CAD per year, depending upon experience and geographic location
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.
Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.
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Senior Software Engineer, Core Services
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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The Core Services team manages the core infrastructure and API stack and builds high throughput microservices that powers https://www.roblox.com. These services need to be fast, reliable and highly scalable as they have a huge impact on the day-to-day experience of every Roblox user. In addition, the team owns shared libraries, infrastructure microservices, and the web infrastructure used by all other Roblox full-stack feature teams. We ship with testable and configurable features that allow for rapid experimentation, data collection, and optimize for performance and user engagement. From serving basic user information to populating content into in-experience. Core Services is integral to the Roblox experience.
As a Senior engineer within the team, you will own and drive the development and management of core infrastructure, API stack, and microservices. These components are essential for supporting a range of services and platforms within Roblox, including our studio environment. Additionally, you will contribute to the development of tooling and frameworks for full-stack teams. You will get the chance to take ownership of high RPS (requests per second) services, contribute to the re-architecture of systems to accommodate our company's growth, and collaborate with a diverse set of teams including Infra and the product teams within Roblox, leading initiatives, and making a significant impact across the company.
Here are a few quick highlights of how we power Roblox:
- Microservices - we manage 50+ microservices, the most of any Roblox full-stack engineering team. These services are crucial to run Roblox. They sit right at the heart of the connection between product and infrastructure.
- API Scale - we run services that hit 500K - 3M RPS, the highest load of any Roblox full-stack engineering team. Scalability and reliability of these services is important to keep the product alive.
- Thumbnails - our system generates and delivers 5 - 6 million thumbnails per second. Perfect for viewing all your avatar clothing options!
- Roblox website - managing the production infra behind running the website while re-architecting it is a real interesting architectural challenge. If you're interested in changing the airplane's engine while it's flying, you'll like this challenge.
You will:
- Report into the Core Services Organization.
- Build, maintain, and scale systems to support our goal of 1 billion active users
- Design backend features for www.roblox.com and mobile apps on iOS, Android, and Amazon platforms.
- Collaboratively build new microservices using Docker, .NET Core, and container orchestration.
- Build and establish core infrastructure accessible to all Roblox teams.
- Enforce high code quality standards, architectural designs, and long-term approaches as a gatekeeper
You have:
- Experience in C#, Java, Go or any other object-oriented programming language
- 6+ Years of Experience building web applications in frameworks such as ASP.NET, SpringMVC, Express, Rails, or Flask.
- Experience designing high traffic REST APIs, using Containers and microservices
- Experience building large scale distributed systems with focus on scalability, reliability, and availability
- Experience in debugging, mitigating, and root causing problems in the production environment in a timely and systematic manner.
- Experience leading cross team greenfield projects.
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
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Senior DevOps Engineer
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Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
The Network Engineering function is responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities.
Your Future Role within QRT
You will:
- Design, build, and operate scalable, resilient infrastructure configuration and platform services
- Develop and maintain CI/CD pipelines to enable efficient and reliable software delivery
- Implement and evolve observability systems using OpenTelemetry (OTel), including distributed tracing, metrics, and logging
- Troubleshoot complex system issues, perform root cause analysis, and implement long-term fixes
- Automate infrastructure provisioning and configuration using scripting and infrastructure-as-code approaches
- Work closely with engineers to improve system design, deployment processes, and runtime performance
- Operate and optimise containerised environments and orchestration platforms (e.g. Kubernetes)
- Take ownership of services and features from implementation through production support and continuous improvement
- Collaborate with stakeholders to understand requirements and deliver effective technical solutions
Your Present Skillset
- Strong Linux systems expertise, including debugging and performance tuning
- Solid networking knowledge (TCP/IP, DNS, firewalls, VRFs, VLANs, BGP)
- Proficiency in Bash and Python for automation and tooling
- Experience with Python web frameworks (e.g. Flask, Django REST Framework)
- Experience building RESTful APIs
- Hands-on experience with containerisation (Docker) and container orchestration (Kubernetes)
- Experience with monitoring and logging stacks (Prometheus, Grafana, Loki)
- Understanding of asynchronous and multi-threaded systems
- Experience working with CI/CD systems in production environments
- Familiarity with distributed systems and common reliability patterns
- Ability to define and measure KPIs, SLAs, and SLOs
- Strong communication skills and ability to work with both technical and non-technical stakeholders
- Desirable:
- Familiarity with infrastructure-as-code tools (i.e. Terraform)
- Experience with cloud platforms (i.e. AWS)
- Knowledge of OpenTelemetry (OTel), including instrumentation, tracing, metrics, and observability pipelines
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Ready to apply?
Apply to Qube Research & Technologies2026 - Internship, Machine Learning Engineer
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Programme duration: 6 months, starting in 2026.
Who qualifies: Final year students completing a Bachelor's, Master's.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.
We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.
Your future role at QRT
As a Machine Learning Engineer at QRT, you will contribute to building the systems used to evaluate and compare LLMs across a range of tasks and datasets. Design evaluation pipelines, define scoring methodologies, and develop the services that run, track, and reproduce experiments at scale. Integrate new models into a unified framework and optimize evaluation workflows for performance and reliability.
Your present skillset
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Strong Python skills, with experience building reliable and maintainable systems.
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Solid software engineering fundamentals, including APIs, testing, and modular design.
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Experience working with data pipelines and experimentation workflows.
- Excellent communication skills - you will interact directly with Traders and Researchers.
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Strong analytical and problem-solving skills, with a structured approach to ambiguous problems.
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Interest in large language models (LLMs), machine learning systems, and evaluation methodologies.
Preferred qualifications (a plus):
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Experience with LLM tooling or frameworks (e.g. Hugging Face, OpenAI APIs, vLLM, or similar).
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Familiarity with evaluation or benchmarking frameworks (e.g. lm-eval, HELM, or custom evaluation pipelines).
- Experience building backend services (FastAPI, Flask, or similar) and job orchestration systems.
- Exposure to distributed systems, parallel computing, or GPU-based workloads.
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Experience with experiment tracking tools (e.g. MLflow, Weights & Biases) or similar systems.
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Interest in model evaluation, robustness, and real-world performance of machine learning systems.
Interview Process
- Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances.
- Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.
- Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Ready to apply?
Apply to Qube Research & Technologies
Senior Data Delivery & Dashboard Executive
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About Inizio Ignite:
Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.
Company Descriptor
Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward.
Role Overview
The Data Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required
What you'll be doing
Brand Equity tracking support with our in-house platform:
- Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
- Maintain and update python utilities when required due to changes from the research team
- Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
- Manage the storage mart and data warehouse
- Support team with edits in-house platform
Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.
Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.
Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.
Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.
Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.
Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.
Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.
What you'll need
Your skills and experience:
Technical Expertise
- Atleast 5+ years expertise in languages like Python and SQL.
- Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
- Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
- Proficient in SQL (PostgreSQL, MySQL).
- Understanding MVC/MVT, microservices, and system design principles.
- Experience in setup of data pipelines is highly desirable.
- Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
- Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
- Experience in version control system.
Ideal candidate should be
- You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
- You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
- You are a collaborative team player who works well with colleagues
- You communicate ideas and issues in an effective, straightforward fashion
- Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
- Ability to interpret tabulation specifications and apply them accurately.
- Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
- You are highly motivated and want to seize opportunities to develop new skills and progress your career
Artificial Intelligence
Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
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Apply to Inizio Ignite | Research Partnership
Job Title: Senior Python Engineer
Location: Remote (UK) with Occasional Travel - Applications from non-UK countries will be rejected
Division: Inizio Medical – Data & AI Team
About Inizio Medical
Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.
About the Role
We are seeking a senior, hands-on Python Engineer to join our growing Data & AI team. This role is ideal for an engineer who enjoys building robust backend systems, APIs, and services that power modern applications at scale.
You will work on the backend foundations of next-generation applications, including systems that incorporate generative AI and LLM-based capabilities. Prior experience with generative AI is not required—we are looking first and foremost for a strong Python engineer with excellent software engineering fundamentals who is interested in applying those skills in a fast-evolving domain.
You’ll collaborate closely with software engineers, data scientists, and product teams to design, build, and operate production-grade systems used in real-world healthcare and life sciences environments. This is not a position with current line management responsibilities.
Key Responsibilities
- Design, build, deploy, and maintain scalable Python services and APIs using modern backend and cloud-native patterns.
- Develop clean, testable, and well-structured Python code for data-intensive and workflow-driven applications.
- Build and integrate backend components that support AI-enabled features (e.g., orchestration layers, inference services, data pipelines).
- Integrate with third-party APIs and external services, ensuring reliability, performance, and cost efficiency.
- Own production concerns including logging, monitoring, error handling, and performance optimisation.
- Contribute to CI/CD pipelines, infrastructure-as-code, and containerised deployments.
- Collaborate with product, data, and engineering stakeholders to translate requirements into high-quality technical solutions.
- Write clear technical documentation for engineers and non-technical audiences.
- Contribute to a collaborative, pragmatic, and high-quality engineering culture.
About You
- Strong professional experience as a Python engineer, building and operating production systems (e.g., SaaS platforms, backend services, data-driven applications).
- Deep knowledge of Python fundamentals, including application architecture, performance considerations, testing, and maintainability.
- Experience building backend systems using frameworks such as FastAPI, Flask, Django, or similar.
- Solid understanding of cloud-based architectures (AWS and/or Azure), containers, and microservices.
- Experience working with CI/CD pipelines, version control, and modern development workflows.
- Strong debugging and problem-solving skills in distributed or data-heavy systems.
- Comfortable collaborating in cross-functional, Agile teams and taking ownership of delivered solutions.
- Curious, pragmatic, and motivated by building reliable systems that deliver real-world impact.
Nice to Have (Not Required)
- Exposure to data platforms or analytics workflows (e.g., Databricks, Airflow).
- Familiarity with LLMs, generative AI APIs, or AI-enabled application patterns.
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Sentry).
- Contributions to open-source projects or shared internal libraries.
- Experience in regulated or high-compliance domains (e.g., healthcare, life sciences, finance).
What We Offer
- Competitive salary and benefits package, including private medical insurance and company pension.
- Flexible, remote-first working environment with occasional travel.
- The opportunity to work on meaningful, high-impact products within a global healthcare organisation.
- A friendly, low-ego culture that values engineering quality, learning, and collaboration.
Ready to Apply?
If you’re a strong Python engineer who enjoys building high-quality systems and is interested in applying your skills to emerging technologies in healthcare, we’d love to hear from you.
Ready to apply?
Apply to Inizio
MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.
We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.
You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.
You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.
You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.
As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
About the team
We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.
We are a distributed team; stretching from our offices in Dublin and NYC to other locations in Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.
The ideal candidate for this role should have
- 3-5 years of product management experience with a track record of shipping developer-facing tools, integrations or APIs
- 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) - including Django, FastAPI and Flask
- Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment
- Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions
- Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences
- Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them
- Curiosity, a positive attitude, and a drive to continue learning
- Foster an inclusive and respectful work environment according to MongoDB's Core Values
Position Expectations
- Explore the problem space, build connections with your customer-base, interact with the users in the Python community, formulate the vision and the strategy and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities
- Deeply understand all aspects of the business — your job is to ensure a business outcome, not just product definition!
- Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users
- Collect and analyze data that will drive product decisions
- Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions
- Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks etc to be added to our portfolio
- Engage in various go to market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging
Success Measures
- In three months, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
- In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
- In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263289662
Ready to apply?
Apply to MongoDB
MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks.
We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world-class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are.
You’re a strong fit if you have hands-on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement.
You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short-term developer needs with long-term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack.
You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence-based decisions that drive adoption and delight.
As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open-source contributors to deepen your understanding, validate direction, and build trust with developers.
This role can be based out of our Dublin office or remotely in Ireland.
About the team
We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers.
We are a distributed team; stretching from our offices in Dublin and NYC to other locations in Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events.
The ideal candidate for this role should have
- 3-5 years of product management experience with a track record of shipping developer-facing tools, integrations or APIs
- 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) - including Django, FastAPI and Flask
- Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment
- Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions
- Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences
- Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them
- Curiosity, a positive attitude, and a drive to continue learning
- Foster an inclusive and respectful work environment according to MongoDB's Core Values
Position Expectations
- Explore the problem space, build connections with your customer-base, interact with the users in the Python community, formulate the vision and the strategy and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities
- Deeply understand all aspects of the business — your job is to ensure a business outcome, not just product definition!
- Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users
- Collect and analyze data that will drive product decisions
- Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions
- Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks etc to be added to our portfolio
- Engage in various go to market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging
Success Measures
- In three months, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
- In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
- In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263289662
Ready to apply?
Apply to MongoDB
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.
You’re welcome to work remotely from Singapore.
Your responsibilities will include:
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency
We expect you to have:
- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
- Vector databases and RAG implementation patterns
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
- Strong Python programming skills
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences
It would be an added bonus if you have:
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
- Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
- Work with multimodal AI models (e.g., vision-language, speech)
- Proficiency with DevOps tools (Docker, Kubernetes)
- Contributions to open-source ML/AI projects
Preferred technical stack:
- Programming Languages – Python
- ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks – FastAPI, Flask
- MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
- Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.
Your responsibilities will include:
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals.
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models.
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization.
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap.
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency.
We expect you to have:
- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI.
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches.
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation.
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent.
- Vector databases and RAG implementation patterns.
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models.
- Strong Python programming skills.
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences.
It will be an added bonus if you have:
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers).
- Familiarity with inference optimization techniques such as quantization, batching, caching, and routing.
- Work with multimodal AI models (e.g., vision-language, speech).
- Proficiency with DevOps tools (Docker, Kubernetes).
- Contributions to open-source ML/AI projects.
Preferred tooling:
- Programming Languages– Python
- ML Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks– FastAPI, Flask
- MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
- Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Key Employee Benefits:
- Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan: Up to 4% company match with immediate vesting.
- Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote Work Reimbursement: Up to $85/month for mobile and internet.
- Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $225k - $315k OTE (On-Target Earnings) and equity based on your experience, skills, and location.
Join Nebius Today!
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency
We expect you to have:
- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
- Vector databases and RAG implementation patterns
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
- Strong Python programming skills
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences
It would be an added bonus if you have:
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
- Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
- Work with multimodal AI models (e.g., vision-language, speech)
- Proficiency with DevOps tools (Docker, Kubernetes)
- Contributions to open-source ML/AI projects
Preferred technical stack:
- Programming Languages – Python
- ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks – FastAPI, Flask
- MLOps and DevOps tools – Kubernetes (K8s), Docker, Git
- Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy.
We are looking for a Presales Architect to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
- Revenue quality
- Engineering focus
- Product evolution
- Customer trust at scale
You’re welcome to work remotely from Europe.
Your responsibilities will include:
Strategic Technical Discovery
- Lead deep technical discovery with engineering teams and technical founders
- Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
- Translate customer ambition into production-feasible architectures
- Identify hidden technical risks early
Commercial Acceleration
- Partner tightly with Sales on strategic deals
- Influence deal strategy through architectural clarity
- Prevent misaligned commitments before engineering allocation
- Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
- Define measurable success criteria (latency, TTFT, throughput, cost envelope)
- Classify workload complexity and required optimization depth
- Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
- Drive structured Go / No-Go decisions
- Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
- Identify recurring configuration patterns across customers
- Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
- Surface structured insights to Product and Engineering
- Help evolve platform capabilities based on real workload data
We expect you to have:
- Deep understanding of AI inference systems and GPU-backed infrastructure
- Experience with LLM workloads and performance-sensitive environments
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
- Ability to reason about latency, throughput, cost, and architecture tradeoffs
- Strong customer presence with engineering-first organizations
- Comfort challenging assumptions and pushing back constructively
- Commercial awareness – you understand that engineering time is a strategic resource
Preferred technical stack:
- Programming Languages– Python
- Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks– FastAPI, Flask
- MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
- Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What success looks like:
- Strategic deals are technically sound before engineering engagement
- PoCs are clearly scoped and economically justified
- Engineering capacity is allocated predictably
- Conversion to production improves
- Customers view you as a trusted architectural advisor
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not always guarantee production success. This role exists to ensure that what we commit to with customers is scalable, efficient, and aligned with platform strategy.
We are looking for a Presales Architect to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:
- Revenue quality
- Engineering focus
- Product evolution
- Customer trust at scale
You’re welcome to work remotely from the United States.
Your responsibilities will include:
Strategic Technical Discovery
- Lead deep technical discovery with engineering teams and technical founders
- Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
- Translate customer ambition into production-feasible architecture.
- Identify hidden technical risks early
Commercial Acceleration
- Partner tightly with Sales on strategic deals
- Influence deal strategy through architectural clarity
- Prevent misaligned commitments before engineering allocation
- Increase PoC-to-production conversion by ensuring technical realism
PoC Architecture & Validation
- Define measurable success criteria (latency, TTFT, throughput, cost envelope)
- Classify workload complexity and required optimization depth
- Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
- Drive structured Go / No-Go decisions
- Prevent uncontrolled customization or hidden R&D
Pattern Recognition & Platform Leverage
- Identify recurring configuration patterns across customers
- Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
- Surface structured insights to Product and Engineering
- Help evolve platform capabilities based on real workload data
We expect you to have:
- Deep understanding of AI inference systems and GPU-backed infrastructure
- Experience with LLM workloads and performance-sensitive environments
- Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).
- Ability to reason about latency, throughput, cost, and architecture tradeoffs
- Strong customer presence with engineering-first organizations
- Comfort challenging assumptions and pushing back constructively
- Commercial awareness – you understand that engineering time is a strategic resource
Preferred Technical Stack
- Programming Languages– Python
- Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs
- Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent
- API and Web Frameworks– FastAPI, Flask
- MLOps and DevOps tools– Kubernetes (K8s), Docker, Git
- Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)
What Success Looks Like
- Strategic deals are technically sound before engineering engagement
- PoCs are clearly scoped and economically justified
- Engineering capacity is allocated predictably
- Conversion to production improves
- Customers view you as a trusted architectural advisor
Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $152k - 228k base + RSU's and performance bonus's.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, agent development environments, data pipelines — all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay.
As a Forward Deployed Engineer, Ecosystem, you will sit at the intersection of solution architecture and hands-on engineering. You assess how partner products actually work on our stack, define the reference architecture for each integration, build the working prototype that proves it, and translate what you find into product requirements that shape what Nebius ships next.
Your responsibilities will include:
Solutioning & Architecture
- Design and prototype integrations between partner products and the Nebius platform — fast, hands-on, and technically sound
- Define reference architectures for partner integrations — not just what works, but how it should work at scale and in production
- Scope partner architectures against our platform — how does this product actually work on our stack, where does it snap together, where does it break
- Build production-quality proof-of-concepts across the AI stack including agentic pipelines, RAG architectures, inference optimization patterns, and multi-model orchestration
- Produce working proof-of-concepts that serve as the starting point for product creation — not a requirements doc, a working thing
- Maintain a library of reference architectures and integration patterns that internal product and engineering teams can build from
Technical Partner Scoping
- Work directly with partner engineering teams to scope, prototype, and progress integrations
- Assess partner architectures honestly — if the integration is painful, that is signal; if it snaps together in a weekend, that is also signal; report both
- Provide technical guidance to partners on how to maximize performance, reliability, and cost efficiency on Nebius infrastructure
- Produce technical scoping that gives your pod partner and internal teams a clear picture of integration feasibility, depth, and complexity
Internal
- Translate external integration findings into actionable product requirements for Nebius platform teams
- Work with ISV partners, SI teams, and field teams to scale solution adoption and drive revenue once a solution is ready
- Surface recurring architectural patterns and integration gaps to inform platform roadmap decisions
- Participate in platform planning as the technical voice of what you are seeing and building in the field
Ecosystem Presence
- Represent Nebius at hackathons, in open source communities, and at technical events
- Build in public — demos, reference architectures, and integrations that establish Nebius as the platform serious AI builders choose
- Stay current with the AI tooling ecosystem — you know what shipped last week and what it means for our stack
Platform focus areas:
Depending on your background and mutual fit, you will focus on one or more of the following:
- Agentic — agent frameworks, memory systems, tool integration, orchestration, MCP, guardrails
- Managed Inference — inference runtimes, model serving, optimization tooling, speculative decoding, KV-cache routing
- IaaS / Managed Infrastructure — cloud-native integrations, GPU orchestration, enterprise platform connectors
- Data — vector databases, retrieval systems, RAG architectures, data pipeline integrations, synthetic data tooling
We expect you to have:
- 6+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure
- Deep working knowledge of the AI developer stack — LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, agentic pipelines — built through shipping, not reading
- Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent
- Strong Python programming skills and comfort prototyping end-to-end AI systems quickly
- Experience defining reference architectures and technical patterns — not just implementing them
- Proven ability to move from idea to working prototype fast — you have shipped meaningful things under time pressure and found it energizing
- Experience building integrations across APIs and developer platforms — you understand where the complexity actually lives
- Comfortable working across both external partner engineering teams and internal Nebius product and engineering teams simultaneously
- Strong technical communication — you can explain architecture decisions and integration findings to a founding CTO and a non-technical partner lead in the same day
It will be an added bonus if you have:
- Experience with inference frameworks and optimization: vLLM, SGLang, TensorRT-LLM, speculative decoding, quantization, batching, KV-cache routing
- Familiarity with NVIDIA's software stack: CUDA, TensorRT, NeMo, or equivalent
- Experience with multimodal AI models — vision-language, speech, or structured data
- Won or placed at major AI hackathons in the past 12 months
- Worked as a developer advocate, solutions engineer, or technical partner manager at a leading AI platform or developer tooling company
- Been an early engineer at a YC-backed AI startup — you built the product under real constraints
- Open source projects or public demos with meaningful community adoption
- Proficiency with DevOps tools: Docker, Kubernetes, Git
Preferred technical stack:
- Languages — Python
- ML frameworks — vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI / Anthropic SDKs
- Agentic frameworks — LangChain, LangGraph, CrewAI, AutoGen, smolagents, or equivalent
- Vector databases — Qdrant, Weaviate, Milvus, pgvector
- API and web frameworks — FastAPI, Flask
- DevOps — Kubernetes, Docker, Git
- Cloud platforms — AWS, GCP, Azure
Key Employee Benefits:
- Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan: Up to 4% company match with immediate vesting.
- Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote Work Reimbursement: Up to $85/month for mobile and internet.
- Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $255K - $315K OTE (On-Target Earnings) and equity based on your experience, skills, and location.
If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Compensation
We offer competitive compensation packages based on experience.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Job Title: GenAI Developer/ Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location - Bangalore
Experience - 6 to 10
Skills and Qualifications:
Preferred skills:
Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)
GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch
Key Responsibilities:
- Develop scalable Python applications focused on GenAI
- Knowledge of Snowflake Cortex is a big plus.
- Learn and apply techniques like document chunking and embeddings
- Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
- Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
- Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
- Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
- Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
- Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
- Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
- Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
- Design and implement scalable RESTful APIs and microservices to expose AI functionalities
- Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
- Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
- Follow coding best practices and contribute to testing and documentation
- Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
- Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
- Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.
Ready to apply?
Apply to Capco
Staff Software Engineer – Full Stack & AI Innovation
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About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary:
We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.
You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.
Key Responsibilities:
- Develop, Analyze and structure product specifications for input into GenAI programming tools.
- Operate GenAI systems to generate code based on structured inputs.
- Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
- Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
- Provide feedback to improve GenAI model outputs and prompt engineering strategies.
- Review and validate generated code for correctness, efficiency, and adherence to coding standards.
- Maintain documentation of input formats, code review findings, and feedback cycles.
- Stay current with advancements in GenAI programming tools and code generation technologies.
- Participate in code reviews and mentor junior developers.
Basic Qualifications:
- Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
- 8 to 10 years' experience with strong expertise in at least one of the following:
- TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
- Python (Django, Flask, FastAPI/ RestAPI)
- Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
- Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
- Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
- Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
- Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
- Strong understanding of software development principles and code review practices.
- Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
- Strong grasp of software design principles (OOP, SOLID, microservices).
- Excellent problem-solving, debugging, and collaboration skills.
- Excellent analytical and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
- Experience working with prompt engineering or structured input design for GenAI systems.
- Exposure to MLOps or AI model evaluation frameworks.
- Knowledge of software architecture and design patterns.
- Knowledge of containerization (Docker, Kubernetes).
- Exposure to serverless architecture and event-driven systems.
- Contribution to open-source or AI-driven development communities.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve
Fully remote | Complete engagement job
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
Functional Responsibilities:
- Build responsive and interactive web applications using React and TypeScript, focusing on performance, usability, and component-driven UI architecture.
- Design and implement RESTful or GraphQL APIs using Python frameworks such as FastAPI, Django, or Flask.
- Develop and optimize database schemas (PostgreSQL, MySQL, or NoSQL) and ensure smooth data integration between backend, AI, and frontend systems.
- Collaborate with AI/ML engineers to integrate Generative AI components—such as LLM APIs, RAG architectures, and agent-driven workflows—into the application.
- Deploy and maintain applications on cloud platforms (AWS preferred, but Azure or GCP experience is also welcome) using containerization and CI/CD pipelines.
- Use AI coding tools and assistants to accelerate development, debugging, and rapid iteration of production features.
- Write and maintain unit and integration tests for both frontend and backend using tools like Jest, pytest, or Playwright.
- Ensure quality and reliability through basic observability, including structured logging and error monitoring.
- Work closely with designers, product managers, and stakeholders to translate product ideas into high-quality, scalable solutions.
- Stay current with emerging technologies in web development and AI, specifically regarding LLM orchestration and development workflow optimizations.
Qualifications:
- 5+ years of experience as a Full-Stack Engineer, working across both frontend and backend systems.
- Strong proficiency in Python and experience with frameworks such as FastAPI, Django, or Flask.
- Solid experience with JavaScript/TypeScript and React, including modern state management (e.g., Redux, Zustand, or Context API).
- Comfortable designing and consuming RESTful or GraphQL APIs and integrating with third-party services.
- Hands-on experience with SQL/NoSQL and familiarity with data modeling and performance optimization.
- Hands-on experience with LLM integration (e.g., Claude, OpenAI, or Gemini) in production applications.
- Proficiency with AI coding assistants and a clear understanding of how to integrate them into a professional development workflow.
- Working knowledge of cloud platforms (AWS, Azure, or GCP), including deployment and basic infrastructure management.
- Experience with CI/CD pipelines, testing frameworks, and version control (Git).
- Strong problem-solving and collaboration skills, with a proactive and curious mindset.
- Excellent communication skills in English, both written and verbal.
Our Benefits:
- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break.
- Paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance culture.
Ready to apply?
Apply to FactoredImmigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You’ll Be Part Of:
You’ll join a high‑impact engineering organization building scalable, shareable technologies that power multiple product teams. As a full‑stack engineer with a strong affinity for front‑end development, you’ll shape user experiences, define UI architecture, and build reusable components that accelerate development across the company. Your work will influence product direction, elevate engineering productivity, and help define the next generation of platform and UI capabilities.
Responsibilities:
- Design and implement extensible, shareable full‑stack features across multiple engineering projects, with a strong emphasis on front‑end architecture and user experience.
- Build high‑quality UI components and front‑end systems using modern frameworks (e.g., React).
- Serve as a go‑to technical expert for front‑end patterns, performance, accessibility, and best practices.
- Review code with prescriptive, actionable feedback; contribute to coding standards and UI/UX guidelines.
- Drive improvements to automation systems and testing frameworks, including front‑end testing strategies.
- Explore and evaluate AI technologies to enhance team productivity and effectiveness.
- Create space for teammates to adopt AI tooling through pairing, demos, and documentation.
- Lead research into external technologies (front‑end and full‑stack) and propose adoption strategies.
- Own on‑call responsibilities, create and update runbooks/SOPs, and coach others on incident investigation.
- Author, review, and approve requirements and technical designs for multiple projects.
- Work cross‑functionally to align partners and stakeholders to project vision, mission, and strategy.
- Mentor less experienced engineers in communication, design, UI engineering, and execution.
- Communicate clearly and effectively, tailoring messaging to technical and non‑technical audiences.
Qualifications and Education Requirements:
- Extensive experience developing full‑stack software, including shareable front‑end and platform components.
- Deep expertise in front‑end engineering using modern frameworks such as **React**, plus strong understanding of JavaScript/TypeScript, state management, and UI performance.
- Strong understanding of test automation systems, maintainable test patterns, and quality‑driven engineering (including front‑end testing frameworks like Jest, React Testing Library, Cypress).
- Strong knowledge of data structures, algorithms, and performance optimization techniques.
- Experience authoring and reviewing technical designs for complex, multi‑team projects.
- Proven ability to independently deliver high‑impact engineering work.
Preferred Skills:
Frontend Development
- Core Languages: HTML5, CSS3, and JavaScript (ES6+).
- Frameworks/Libraries: React
- Design Principles: Responsive web design and mobile-first development.
Backend Development
- Languages & Environments: Node.js (JavaScript/TypeScript), Python (Django/Flask), or Java (Spring Boot).
- API Architecture: RESTful APIs (standard) and GraphQL (modern alternative).
- Server Logic: Authentication (JWT/OAuth), authorization, and middleware.
Database Management
- Relational (SQL): PostgreSQL, MySQL, or SQL Server for structured data.
- Non-Relational (NoSQL): Redis for caching.
- Querying: Proficiency in writing SQL queries and utilizing ORMs (like Prisma or Sequelize).
Additional Notes:
This role is ideal for engineers who love full‑stack work but feel especially energized by front‑end engineering, user experience, and building UI systems that scale across teams. Senior SDEs in this domain are expected to lead by example, elevate engineering quality, and drive innovation across both the front‑end and back‑end.
Target cash compensation range: $148,550 - $191,630 USD Annually
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
#LI-Hybrid
If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.
California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.
Ready to apply?
Apply to iSpotImmigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You’ll Be Part Of:
You’ll join a team dedicated to helping brands deliver their strongest creative advertising by combining quantitative performance data with qualitative insights. We build systems that evaluate creative effectiveness, surface actionable recommendations, and empower marketers to make smarter decisions. Your work will directly influence how brands understand, measure, and optimize their creative impact at scale.
Responsibilities:
- Develop small, well‑scoped features that support creative analytics, insights, and reporting workflows.
- Write unit, component, contract, and integration tests as part of feature development.
- Debug and validate your own code; document how features should be tested.
- Run all relevant test types (unit, integration, end‑to‑end, regression, performance) to ensure feature quality.
- Contribute to release readiness by reporting status and raising flags when needed.
- Collect and report metrics; assist in investigating incidents and alerts with guidance.
- Participate in root‑cause analysis for standard issues.
- Identify basic risks and dependencies with support from senior engineers.
- Author technical designs for small features or components.
- Apply classical data structures, algorithms, and resource‑management techniques.
- Collaborate with teammates to coordinate work and maintain strong follow‑through.
- Communicate clearly with your manager and small teams; escalate issues appropriately.
- Use AI tools (with guidance) to accelerate coding, testing, documentation, and code exploration.
Qualifications and Education Requirements:
- Some software engineering experience (professional, academic, or internship).
- Ability to write clean, testable code and debug effectively.
- Understanding of unit, integration, and end‑to‑end testing practices.
- Familiarity with release processes and CI/CD concepts.
- Basic experience with telemetry, metrics, or logging.
- Ability to analyze problems using standard data structures and algorithms.
- Strong communication skills and willingness to ask questions and seek guidance.
- Results‑oriented mindset with attention to quality and follow‑through.
Preferred Skills:
Backend Development
- Languages & Environments: Golang, Python (Django/Flask), or Java (Spring Boot).
- API Architecture: RESTful APIs (standard) and gRPC (modern alternative).
- Server Logic: Authentication (JWT/OAuth), authorization,
Database Management
- Relational (SQL): PostgreSQL, MySQL, or SQL Server for structured data.
- Non-Relational (NoSQL): Redis for caching.
- Querying: Proficiency in writing SQL queries and utilizing ORMs (like Prisma or Sequelize).
Additional Notes:
This role is ideal for early‑career engineers who want to grow while contributing to a product that blends creativity, data, and engineering. You’ll receive mentorship from senior engineers and have opportunities to expand your technical depth over time
Target cash compensation range: $95,950 - $106,000 USD Annually
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
#LI-Hybrid
If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.
California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.
Ready to apply?
Apply to iSpot
Staff QA and Test Infrastructure Development Engineer
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Lucid Motors is seeking a Staff QA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.
This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.
What you’ll be doing
- Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
- Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
- Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
- Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
- Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
- Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
- Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test
What we need to see
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 8+ years of experience in DevOps, embedded test infrastructure, or automation tooling
- Strong proficiency in Python and experience with frameworks such as Flask or Django
- Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
- Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
- Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
- Proficiency with version control systems such as GIT or GitLab
- Strong Linux knowledge—deployment, debugging, system monitoring, and automation
- Familiarity with bash scripting and Linux‑based automation workflows
Ways to stand out from the crowd
- Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
- Experience with real‑time operating systems (RTOS) or embedded firmware development
- Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
- Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
- Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems
Bonus Qualifications – Agentic AI Tools & Intelligent Automation
Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:
- Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
- Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
- Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
- Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
- Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
- Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
- Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Convoso is a leading AI-powered contact center platform purpose-built for revenue teams. Since 2006, Convoso has remained at the forefront of innovation, consistently developing solutions to drive customer growth while supporting adherence to regulatory standards.
Who We Are:
While headquartered in Los Angeles, the Convoso team can be found around the globe working in either a hybrid or remote capacity. Awarded as a "best place to work" company, our culture fosters team integrity, positive persistence, and continuous growth.
Our core platform powers successful sales teams across multiple industries, giving our customers a competitive edge and streamlined productivity. With built-in Al and automations, our product is a premium offering in a competitive space. We continue to grow our product capabilities to better serve our current customers and to expand into newer markets.
Convoso is looking for people who are excited about technology and innovation. We are a company of motivated team players with diverse backgrounds driving accelerated growth in a supportive, positive culture.
Most roles at Convoso function as “hybrid” with some opportunities for travel to in-person business events and company meetings. For remote positions, Convoso’s U.S. hiring is open to candidates who are residents of the following states: AL, AZ, CA, CO, CT, FL, GA, IL, IN, KY, MA, MI, NC, NJ, NV, NY, OH, PA, SC, TX, UT, VA.
The Job:
We are looking for an experienced Principal Software Engineer to build and scale the AI agent systems within our enterprise SaaS application. In this role, you will be responsible for the core engineering of agentic logic, frameworks, and the high-performance backend infrastructure required to support intelligent automation at scale.
Responsibilities summary:
- Build AI Agent Frameworks: Develop the internal agents, LLMs, logic and reasoning loops, that allow AI agents to perform complex, multi-step tasks.
- Develop Core SaaS Features: Engineer robust, full-stack enterprise web components, ensuring high performance and security across the application.
- Data Engineering: Manage and optimize the interface between our AI agents and data.
- Engineering Excellence: Write clean, secure, and maintainable code and lead rigorous code reviews and refactoring initiatives.
- Automated Testing: Design and implement unit and functional tests to ensure the reliability of both traditional code and non-deterministic AI workflows.
Who You Are:
- AI Agent Architecture: Expert-level ability to build and orchestrate autonomous agents capable of planning, reasoning, and executing multi-step tasks via reasoning loops (e.g., React).
- Orchestration: Direct experience developing the internal logic and interface layers that allow LLMs to interact with APIs, databases, and system functions.
- AI Reliability & Testing: Hands-on ability to create automated unit and functional testing suites specifically designed to validate non-deterministic AI agent outputs and workflows.
- LLM Implementation: Extensive experience developing production-grade features using LLM APIs (OpenAI, Claude, etc.), including context window management, prompt optimization, and cost-monitoring.
- AI-Assisted Development: Expert proficiency in using tools like GitHub Copilot or Claude to accelerate engineering velocity and maintain high code quality.
- Data Layer for AI: Proficiency in MySQL and relational databases, with the ability to write complex, raw queries to feed high-scale enterprise data into agentic workflows.
- Backend Engineering: 5+ years of experience with Python (Django, Flask) or PHP (Symfony, Laravel) to build the robust infrastructure required for AI-driven applications.
- Enterprise SaaS Foundations: 10+ years of experience in software engineering, design patterns, and clean coding practices to large-scale web applications.
- Model Lifecycle: Practical knowledge of model evaluation, experiment tracking, and performance monitoring in a production environment.
Work Perks Worth The Hype:
- Competitive compensation package
- Stock options
- 100% covered premiums for employees; Medical, Dental, Basic life insurance, Long term disability
- Affordable Vision plan and optional FSA
- PTO, Paid Sick Time, Holidays, Bereavement time, Parental Leave
- Your birthday off
- 401k program with generous company match
- No cost Employee Assistance Program and Travel Assistance
- Monthly Gym membership reimbursement
- Monthly credits toward food & beverage
- Company Outings
- On and offsite team building events
- Paid training for departments
- Apple laptop (most roles)
- And a team of highly experienced and kind colleagues!
- HQ Office:
- Casual office environment & dress
- Daily catered lunches
- Fully stocked kitchen (Dietary restriction-friendly)
- Happy Hours
- On-site Car Wash
- Free Parking
Compensation:
The base salary range is: $200,000 - $230,000
The Base Pay Range for this position is based on the industry benchmark for position, function, level and the company's compensation strategies. However, final offers may vary from the amount listed based on geography, candidate experience and expertise, and other objective business. Convoso’s compensation package also includes equity for all eligible U.S full time roles and exceptional benefits, including generous 401k match.
Your California Privacy Rights:
As a California resident who is an applicant to be an employee of Convoso, you have certain rights under California law with respect to information collected by Convoso in the course and scope of its evaluation of your application. The types of information Convoso collects and your rights with respect to that information are contained in Convoso’s privacy policy, which you can review by going to https://www.convoso.com/privacy-policy/.
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Apply to Convoso
Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About the role:
Are you a talented software engineer who’s excited to drive measurable business growth through technology? At Samsara, we’re looking for a Senior Software Engineer - Growth to help accelerate revenue by building products, systems, and AI agents that power scalable growth. You’ll work closely with our go-to-market (GTM) teams to identify opportunities, design and build solutions, and measure their real-world impact. We value engineers who are curious about the business, eager to learn new technologies, and capable of delivering quickly without compromising long-term quality.
You’ll work across the full stack, from architecture and deployment to testing and iteration. Our stack includes Python for back-end development, JavaScript (Vue) for the front end, and AWS for infrastructure. We believe deeply in solving meaningful business problems through software, data, and collaboration across teams. The Growth Engineering team is the engine behind Samsara’s expansion and revenue acceleration. This role goes beyond writing code, it’s about engineering strategic impact across the customer journey and go-to-market lifecycle. You’ll partner with marketing, sales, and product to turn data-driven insights into experiments and platforms that scale.
If you thrive in a fast-paced environment, bring a sense of urgency, and love turning ideas into measurable results, we’d love to have you help shape the future of growth at Samsara.
This role is open to candidates residing anywhere in the US and Canada.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
- You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
- You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.
In this role, you will:
- Leverage data to understand our customers and our funnel in depth, identify opportunity areas and execute projects to grow customers and revenue.
- Build and scale products that power Samsara's revenue engine, including customer acquisition funnels, revenue pipeline generation platforms, lead management infrastructure, and GTM AI products.
- Develop AI-powered products and agents that drive revenue pipeline and improve GTM operational efficiency - whether that's enhancing lead scoring models, automating content generation and multi-step GTM workflows, enriching data, or building smarter seller-facing tools.
- Partner closely with Product, Design, Sales, and Marketing to implement growth initiatives.
- Serve as a technical leader, mentoring junior engineers, driving engineering discussions and architectural decisions, influencing adoption of AI, and implementing product development best practices.
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
Minimum requirements for the role:
- 6+ years of professional software engineering experience, preferably in full-stack or growth-focused environments.
- Proficiency in Python (Flask or similar frameworks) and JavaScript (ideally Vue.js or comparable frontend frameworks).
- Experience working with AWS or other cloud infrastructure platforms for deployment and scalability.
- Strong understanding of web architecture, performance optimization, and security best practices.
- Demonstrated ability to design, build, test, and deploy production-quality systems end-to-end.
- Experience using data and analytics to identify opportunities, measure impact, and iterate on solutions.
- Proven ability to collaborate cross-functionally with marketing, sales, and product teams to align technical solutions with business goals.
- Excellent debugging, technical communication, and problem-solving skills.
An ideal candidate also has:
- Strong business acumen and a curiosity about growth strategy, customer journeys, and go-to-market metrics.
- Adaptable, experiment-driven mindset with a track record of learning from testing and iteration in fast-paced environments.
- Experience using AWS services: Elastic Beanstalk, Amplify, Lambda, CloudFront, Kinesis, EventBridge and experience developing Google Chrome Extensions
- Knowledge of any of the following GTM services: Salesforce, Contentful, Hightouch or any similar products.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Ready to apply?
Apply to Samsara
Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About the role:
Are you a talented software engineer who’s excited to drive measurable business growth through technology? At Samsara, we’re looking for a Senior Software Engineer - Growth to help accelerate revenue by building products, systems, and AI agents that power scalable growth. You’ll work closely with our go-to-market (GTM) teams to identify opportunities, design and build solutions, and measure their real-world impact. We value engineers who are curious about the business, eager to learn new technologies, and capable of delivering quickly without compromising long-term quality.
You’ll work across the full stack, from architecture and deployment to testing and iteration. Our stack includes Python for back-end development, JavaScript (Vue) for the front end, and AWS for infrastructure. We believe deeply in solving meaningful business problems through software, data, and collaboration across teams. The Growth Engineering team is the engine behind Samsara’s expansion and revenue acceleration. This role goes beyond writing code, it’s about engineering strategic impact across the customer journey and go-to-market lifecycle. You’ll partner with marketing, sales, and product to turn data-driven insights into experiments and platforms that scale.
If you thrive in a fast-paced environment, bring a sense of urgency, and love turning ideas into measurable results, we’d love to have you help shape the future of growth at Samsara.
This role is open to candidates residing anywhere in the US and Canada.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
- You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
- You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.
In this role, you will:
- Leverage data to understand our customers and our funnel in depth, identify opportunity areas and execute projects to grow customers and revenue.
- Build and scale products that power Samsara's revenue engine, including customer acquisition funnels, revenue pipeline generation platforms, lead management infrastructure, and GTM AI products.
- Develop AI-powered products and agents that drive revenue pipeline and improve GTM operational efficiency - whether that's enhancing lead scoring models, automating content generation and multi-step GTM workflows, enriching data, or building smarter seller-facing tools.
- Partner closely with Product, Design, Sales, and Marketing to implement growth initiatives.
- Serve as a technical leader, mentoring junior engineers, driving engineering discussions and architectural decisions, influencing adoption of AI, and implementing product development best practices.
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
Minimum requirements for the role:
- 6+ years of professional software engineering experience, preferably in full-stack or growth-focused environments.
- Proficiency in Python (Flask or similar frameworks) and JavaScript (ideally Vue.js or comparable frontend frameworks).
- Experience working with AWS or other cloud infrastructure platforms for deployment and scalability.
- Strong understanding of web architecture, performance optimization, and security best practices.
- Demonstrated ability to design, build, test, and deploy production-quality systems end-to-end.
- Experience using data and analytics to identify opportunities, measure impact, and iterate on solutions.
- Proven ability to collaborate cross-functionally with marketing, sales, and product teams to align technical solutions with business goals.
- Excellent debugging, technical communication, and problem-solving skills.
An ideal candidate also has:
- Strong business acumen and a curiosity about growth strategy, customer journeys, and go-to-market metrics.
- Adaptable, experiment-driven mindset with a track record of learning from testing and iteration in fast-paced environments.
- Experience using AWS services: Elastic Beanstalk, Amplify, Lambda, CloudFront, Kinesis, EventBridge and experience developing Google Chrome Extensions
- Knowledge of any of the following GTM services: Salesforce, Contentful, Hightouch or any similar products.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Ready to apply?
Apply to Samsara
Staff Software Engineer
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Employee Applicant Privacy Notice
Who we are:
Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://www.galileo-ft.com/working-at-galileo.
We are looking for a Staff Software Engineer to join our Engineering team.
What you’ll do:
- Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc).
- Take full ownership for solving complex problems from inception to execution.
- Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
- Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
- Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
- Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact.
- Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
- Work with Python and C applications to resolve wide-ranging issues, and drive feature implementation.
What you’ll need:
- Bachelor's Degree in Computer Science or related field.
- 6+ years programming experience, ideally on a modern stack.
- Experience: 4+ years of experience writing high-quality, production-grade Python.
- Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
- Ability to lead and influence a team's technical direction.
- Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
- Demonstrated ability to design resilient software components within a distributed system.
Nice to have:
- Familiarity with Python Flask and/or FastAPI frameworks.
- Experience developing in C.
- Domain knowledge in Payment Systems or financial tech.
Galileo Financial Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
Galileo is committed to an inclusive culture. As part of this commitment, Galileo offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to Galileo Financial Technologies
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
The Role
We are looking for a seasoned, high-impact Senior Backend Developer to join our team as a core technical driver. This isn't just a role for someone who can write code; it’s for a true architect and builder who thrives on the "0-to-1" journey. You will be instrumental in designing the backbone of a new product, turning ambitious visions into scalable, production-ready reality.
As a senior member of the team, you will navigate ambiguity with ease, owning the backend lifecycle from data modeling to cloud deployment. You’ll be a key technical voice, collaborating directly with product stakeholders to ensure our infrastructure is as robust as our ambitions.
What You'll Do
-
Build the Foundation: Architect and write high-quality, maintainable backend code primarily in Python, ensuring our systems are built for scale from day one.
-
Design & Deliver APIs: Own the design and implementation of RESTful APIs, focusing on elegant data modeling and secure authentication.
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Architect for the Future: Leverage serverless and event-driven architectures to build responsive, modern systems.
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Own the Infrastructure: Work hands-on with Terraform/CloudFormation to treat infrastructure as code, ensuring seamless deployments across cloud platforms.
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Champion DevOps Culture: Manage containerization (Docker/Kubernetes) and CI/CD pipelines to ensure a smooth, automated path to production.
-
Solve Complex Problems: Act as a proactive troubleshooter, identifying bottlenecks and optimizing system performance across SQL and NoSQL databases.
What You Bring (Must-Haves)
-
Seasoned Expertise: 5+ years of professional backend focus, with a deep mastery of the Python ecosystem (Django, Flask, or FastAPI).
-
Architectural Fluency: A strong understanding of how to build for the cloud (AWS, GCP, or Azure) using event-driven and serverless patterns.
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Database Mastery: Proficiency in both relational (PostgreSQL) and non-relational (MongoDB) data stores.
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Modern Workflow Mindset: You are at home with Git, Docker, and Kubernetes, and you view CI/CD as a prerequisite, not an afterthought.
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Proactive Ownership: A "gets-it-done" attitude. You don’t wait for a ticket; you identify what needs to be built and you lead the way.
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Clear Communication: The ability to explain complex backend logic to non-technical partners and collaborate fluently in English.
What We’d Love to See (Nice-to-Haves)
-
Cloud-Native Specialist: Hands-on experience specifically building and deploying within the AWS ecosystem.
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Polyglot Leanings: Proficiency in JavaScript (Node.js) to help bridge gaps across the stack.
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Community Presence: Contributions to open-source projects, technical blogs, or active participation in developer communities.
What We Offer
.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting. .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.
LOCATION: Austin, Texas (Hybrid) 3 days per week
What We Offer
Monks has provided an hourly rate that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The rate offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.
Ready to apply?
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Junior Software Engineer, Python
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Role
We are looking for a Python developer who is curious, practical, and eager to grow within a strong engineering team. You should be comfortable writing Python, interested in backend systems, and willing to work in a fast-paced environment where reliability, security, and performance matter. You don't need to have mastered every part of our stack already, but you should be excited to learn, ask good questions, and build production-quality systems with support from experienced engineers.
You will work with our Python team to build secure, robust, and high-performance microservices that support critical revenue operations — including billing, tax calculation, customer commitments, and AI-powered automation. Over time, you will grow into owning parts of these services, helping us solve complex problems as the company scales.
People rely on our products to communicate every day, so we care deeply about resiliency, reliability, and thoughtful engineering.
Responsibilities
- Design and build developer-friendly and agent-friendly APIs
- Build, test, and deploy applications that support global communications services
- Help identify and resolve issues related to latency, scalability, and performance
- Create tools and AI agents to automate revenue operations
- Investigate production issues by tracing through logs, data, and code to understand root causes
- Learn how to support services in production, including incident investigation and on-call responsibilities with guidance from the team
- Collaborate with more experienced engineers on design decisions, code reviews, testing, observability, and deployment
Who we’re looking for
- 1-2 years of professional software development experience with an object-oriented programming language
- Experience writing Python for web applications, APIs, or backend services.
- Familiarity with frameworks such as FastAPI, aiohttp, Flask, Django, or similar.
- Experience designing or consuming RESTful APIs.
- Some experience with asynchronous programming, or a willingness to learn it.
- Comfort working with PostgreSQL or another relational database.
- Familiarity with SQL queries, schema design, migrations, or query performance.
- Exposure to event-driven architectures or message brokers such as RabbitMQ, Kafka, or similar.
- An interest in highly available, uptime-critical production environments.
- Understanding of microservice architecture patterns, and curiosity about trade-offs and anti-patterns.
- Familiarity with some of the following: Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
- Strong troubleshooting instincts. You are willing to dig through logs, query databases, read unfamiliar code, and ask questions to get to the bottom of an issue.
- Willingness to learn how to support services in production, including incident resolution and on-call processes.
- Comfort using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.
Bonus Points For
- Experience with billing, tax, or financial systems.
- Telecom domain knowledge.
- Experience with SQLAlchemy and Alembic.
- A thoughtful approach to decision making, knowing when to move quickly and when to optimize for the long term.
- Interest in fast-paced, product-driven environments.
- Curiosity about new technologies and patterns, and enjoyment in sharing what you learn.
- Familiarity with agent communication protocols such as MCP or A2A.
- Experience building AI agents or LLM-powered applications.
#LI-KG1 #LI-REMOTE
Ready to apply?
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Senior Full Stack Software Developer
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Location: Remote (For Non-Local) or Hybrid (Local to NYC area)
Position Summary:
Join our mission to transform our nation's healthcare system as a Senior Full-stack Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality.
Why You’ll Love Working Here
- We have a remote-first culture.
- You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
- We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security.
Position Responsibilities
In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will:
- Exercise leadership over features from design to delivery.
- Be a partner to product, design, and quality assurance team members.
- Become a subject matter expert on your team’s products.
- Provide technical support to cross-functional team members and stakeholders.
- Expand Judi, our web-based enterprise health platform, using Python, AWS services, React/Typescript, and other technologies.
- Work in an Agile/Scrum environment.
- Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
Preferred Qualifications
We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit:
- 7+ years of job-related experience.
- Desire to work at a health tech company.
- Strong Python (Flask / SQLAlchemy) and React / Typescript experience.
- Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing).
- Experience with infrastructure as code using AWS, Terraform, or similar technologies.
- Experience writing unit and integration tests.
- Git expertise and experience working in a mono repo.
- Able to demonstrate agency, urgency, and ownership over delivering quality work.
- Strong written and verbal communication skills.
- Previous Pharmacy Benefits Manager (PBM) experience is a plus.
This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
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Senior Full Stack Software Developer - Judi Care
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Position Summary:
Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Fullstack Software Developer. You will lead the delivery of complex, end-to-end features—building responsive, accessible UIs with React/TypeScript/Next.js and implementing reliable Python APIs (FastAPI/Flask with SQL). You’ll partner with product and design to refine requirements, define clear API contracts, and raise the bar on testing, CI/CD, performance, and security (OAuth 2.0/OIDC).
Position Responsibilities:
- Lead design and implementation of user-facing features and backend services.
- Build accessible, performant UIs with TypeScript, React (React Router / Next.js, HTML, and CSS
- Implement robust REST APIs in Python (FastAPI/Flask); design schemas and write efficient SQL.
- Define clear API contracts and patterns; ensure consistency across services and UIs.
- Own quality: automated tests with Jest, React Testing Library, and Playwright; thorough code reviews and documentation.
- Improve build and release pipelines (Vite/Webpack, GitHub Actions) and support deployments on AWS.
- Monitor and troubleshoot production issues; drive reliability and performance improvements.
- Mentor teammates and contribute to planning, estimation, and technical decisions.
Preferred Qualifications:
- 6+ years of experience building fullstack web applications, including leading features or projects.
- Strong expertise with React (React Router / Next.js) and rendering strategies (CSR/SSR/SSG), TypeScript, HTML, and CSS.
- Solid backend experience with Python (FastAPI/Flask), REST API design, and SQL/schema design.
- Hands-on with Jest, React Testing Library, Playwright; CI/CD with GitHub Actions; familiarity with AWS.
- Understanding of web security and authentication (OAuth 2.0/OIDC) and secure coding practices.
- Clear communicator who collaborates effectively across product, design, and engineering.
- Healthcare/HIPAA experience is a plus.
- Knowledge of Elastic Search.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
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Senior Full Stack Engineer, People Apps
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About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
The Senior Software Engineer, People Apps is a key member of the IT-Automations team at Wolt. This role involves working closely with various IT functions and stakeholder organizations within the company to develop and maintain automation solutions that enhance the employee experience. You will be part of a team of highly skilled engineers and developers dedicated to preemptively identifying and addressing the needs of over 10,000+ employees worldwide.
What You’ll Be Doing
- Design, develop, and deploy services and applications related to automated employee lifecycle management.
- Maintain and develop Wolt’s custom-built automation engine and internally directed full-stack applications.
- Collaborate with various stakeholder groups to provide automated solutions that assist in their day-to-day tasks.
- Prepare instructions and documentation for the developed applications.
- Maintain and improve existing codebases.
- Proactively identify and resolve potential needs for our employees.
- Work closely with other IT functions to help maintain a world-class employee experience.
Our Humble Expectations
- Strong technical knowledge of Python, Flask, FastAPI, React, Vue.js, Pytest, and PostgreSQL (and other data storage).
- Strong interest and relevant experience in software engineering and automation.
- Someone who keeps up with automation trends and tries out new technology
- Professional communication skills and fluency in English.
- A quick thinker who rolls up their sleeves and always finds solutions.
- Willingness to travel if needed.
Tech Stack
- Languages & Frameworks: Python, Flask, FastAPI, Vue.js, React.
- Infrastructure & Tools: Kubernetes, Terraform, AWS.
- Testing: Pytest.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
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Senior Data Engineer, Customer-Facing Data Products
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role
The New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.
This is a hybrid role based in our New York City headquarters.
Responsibilities:
- Develop real-time data pipelines using event-driven architectures and streaming technologies.
- Ingest and organize structured and unstructured data for widespread reuse across patterns.
- Engineer and scale high availability data serving capabilities to meet customer-facing needs.
- Implement mechanisms to ensure data quality, observability and governance best practices.
- Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.
- Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review.
- Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
- 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks
- Experience with cloud native architectures (AWS preferred), including service offerings and tools
- Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving
- Programming fluency with Python
- Experience using version control and CI/CD tools, such as Github Actions and Drone
Preferred Qualifications:
- Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark Streaming
- Experience building APIs using Python frameworks (FastAPI, Flask)
- Experience with SQL
- Understanding of modern data platforms including data lakehouse and medallion architectures
- Experience collaborating with product and partners to meet shared goals
This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
#LI-Hybrid
REQ-020049
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For information about The New York Times' privacy practices for job applicants click here.
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
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About us
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.
Job Summary
Reporting to the Head of Data & Analytics, the Lead Data Engineer is a senior individual contributor responsible for leading a key area of Graphcore’s data platform and engineering practices. This role combines hands-on technical delivery with technical leadership across data pipelines, platform capabilities and data products that support analytics, reportingand operational decision-making. Working closely with stakeholders across technical and business functions, the Lead Data Engineer helps shape the direction of the data platform, drives improvements to reliability, scalability and governance, and enables teams across Graphcore to make better use of trusted data.
The Team
The Data & Analytics team enables better decision-making across Graphcore by building trusted data foundations, scalable platforms and high-quality data products. The team works across a broad range of business and technical domains, partnering with colleagues throughout the company to improve access to reliable information, strengthen operational insightand support efficient, data-informed ways of working. Within this team, the Lead Data Engineer plays a key role in evolving the platform, setting engineering standards and delivering robust solutions that scale with business needs.
Responsibilities and Duties
- Lead the design, build and evolution of robust data pipelines and platform services that support analytics, reporting and operational use cases across Graphcore.
- Own the data engineering stack, planning and delivering improvements to reliability, scalability, maintainability, performance and security.
- Build and operate Python-based batch and streaming workflows, with clear approaches to orchestration, testing, deployment, monitoring and incident resolution.
- Design and implement data solutions on AWS using services such as S3, Lambda, Aurora PostgreSQL, Athena, Glue and Redshift, ensuring they are secure, resilient and cost-conscious.
- Define and apply engineering standards for data quality, observability, documentation, release processes and operational support.
- Partner with analysts, engineers and business stakeholders to translate requirements into trusted datasets, well-structured data models and reusable data products.
- Drive improvements to platform resilience through approaches such as idempotent processing, retry and recovery mechanisms, buffering strategies and backfill or replay capabilities.
- Lead technical decision-making in your area by reviewing designs and code, sharing expertise and helping to raise the quality bar for data engineering across the team.
- Build and maintain CI/CD workflows and development practices that enable safe, repeatable and efficient delivery of data infrastructure and workflows.
- Ensure appropriate data protection and access controls are in place, including least-privilege access, secure secrets handling and suitable database permissions.
- Contribute to the development of internal tools and lightweight applications that improve access to data and support self-serve workflows.
- Work across teams to identify opportunities for platform and process improvements, helping shape the direction of data engineering within the wider Data & Analytics function.
Candidate Profile
Essential
- Strong experience designing, building and operating production-grade data pipelines and data platforms in Python.
- Strong hands-on experience with modern data orchestration, testing, deployment and monitoring practices in a production environment.
- Experience building solutions on AWS data services, including storage, processing and query technologies.
- Strong understanding of data modelling, data quality, schema design and performance optimisation across relational and analytical systems.
- Experience designing reliable data systems that recover gracefully from failure and operate effectively in real-world production conditions.
- Experience working with batch and streaming data pipelines, including operational support, troubleshooting and continuous improvement.
- Strong knowledge of security and access control principles for data platforms, including IAM, database permissions and secure handling of credentials and secrets.
- Experience providing technical leadership as a senior individual contributor through design reviews, code reviews, standards-setting and mentoring of others.
- Ability to work effectively with both technical and non-technical stakeholders, turning business needs into practical, scalable data solutions.
- Strong communication skills, with the ability to explain technical decisions clearly and influence outcomes across teams.
Desirable
- Experience with Prefect or a similar workflow orchestration platform.
- Experience with streaming or data collection technologies.
- Experience with PostgreSQL, Redshift, ClickHouse or similar database and warehouse technologies.
- Experience with CI/CD tooling and Infrastructure as Code approaches.
- Experience building lightweight internal tools or data applications using Python frameworks such as Streamlit or Flask.
- Familiarity with dbt and working models that combine data engineering and analytics engineering.
- Understanding of operational best practices for cloud-based data platforms, including cost optimisation and observability.
- Experience working in a fast-moving product, technology or engineering-led environment.
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Senior Software Engineer, Core Services
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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The Core Services team manages the core infrastructure and API stack and builds high throughput microservices that powers Roblox. These services need to be fast, reliable and highly scalable as they have a huge impact on the day-to-day experience of every Roblox user. In addition, the team owns shared libraries, infrastructure microservices, and the web infrastructure used by all other Roblox full-stack feature teams. We ship with testable and configurable features that allow for rapid experimentation, data collection, and optimize for performance and user engagement. From serving basic user information to populating content into in-experience. Core Services is integral to the Roblox experience.
As a Senior Software Engineer within the team, you will own and drive the development and management of core infrastructure, API stack, and microservices. These components are essential for supporting a range of services and platforms within Roblox, including our studio environment. Additionally, you will contribute to the development of tooling and frameworks for full-stack teams. You will get the chance to take ownership of high RPS (requests per second) services, contribute to the re-architecture of systems to accommodate our company's growth, and collaborate with a diverse set of teams including Infra and the product teams within Roblox, leading initiatives, and making a significant impact across the company.
Here are a few quick highlights of how we power Roblox:
Microservices - we manage 50+ microservices, the most of any Roblox full-stack engineering team. These services are crucial to run Roblox. They sit right at the heart of the connection between product and infrastructure. Our services peak at over 10M RPS, the highest load of any Roblox full-stack engineering team. Scalability and reliability of these services is important to keep the product alive.
Orchestration at Planetary Scale – Core Services is building Roblox’s next-generation, in-house multi-cluster orchestration platform that spans global regions and manages hundreds of thousands of containers. This system operates across DCs, cloud regions, and edge sites. If you've ever wanted to design the control plane at globe scale where every millisecond matters, and where rollouts, autoscaling, and failover need to work flawlessly across continents, this is that challenge.
Content Delivery - Be part of the team responsible for serving millions of assets per second that makes the on-demand experiences of millions of players possible as Roblox continues to break world player count records. Authentication, encryption, compression, global delivery with low millisecond response times serving over 10’s of millions of deliveries per second at peak is what the platform demands. Join us while we prepare for the next magnitude of growth.
You will:
- Report into the Core Services Organization.
- Build, maintain, and scale systems to support our goal of 1 billion active users.
- Design backend features for https://www.roblox.com and mobile apps on iOS, Android, and Amazon platforms.
- Collaboratively build new microservices using Docker, .NET Core, Rust, Go and container orchestration.
- Build and establish core infrastructure accessible to all Roblox teams.
- Enforce high code quality standards, architectural designs, and long-term approaches as a gatekeeper.
You have:
- Experience in Rust, Go, C#, Java or any other object-oriented programming/systems level language
- 6+ Years of Experience building web applications in frameworks such as ASP.NET, SpringMVC, Express, Rails, or Flask.
- Experience designing high traffic REST APIs, using Containers and microservices.
- Experience building large scale distributed systems with focus on scalability, reliability, and availability.
- Experience in debugging, mitigating, and root causing problems in the production environment in a timely and systematic manner.
- Experience leading cross team greenfield projects.
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
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Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.
As an Engineer on the Safety Experience team, you’ll help make Discord’s platform safer for hundreds of millions of users. You’ll contribute to designing, building, and maintaining product features and systems that prevent harmful activities while ensuring regulatory compliance. Keeping users safe is essential for Discord’s growth, making your team’s work critical. This role reports to the Engineering Manager of Safety Experience.
What You'll Be Doing
- Contribute to the development of highly visible, user-facing products that protect Discord’s users.
- Design, build, and deploy production APIs, backend services, and data pipelines to launch safety features at scale.
- Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
- Support rapid responses to the ever-evolving abuse and compliance landscape.
What you should have
- 2+ years of experience writing Python and utilizing back-end API frameworks (Flask, Django).
- 2+ years of experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
- Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
- Ability to contribute to end-to-end delivery of projects: working through ambiguity, participating in rollouts, and communicating with stakeholders.
- Ability to troubleshoot, debug, and test complex systems in a live, production environment.
- Strong communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
- Experience using metrics and dashboards to make data-driven decisions.
Bonus Points
- Interest in the Safety or Anti-Abuse domain.
- Experience analyzing and visualizing data using Datadog or Mode.
- Familiarity with real-time streaming systems like Kafka or Pub-Sub.
- Ability to contribute to offline analytics jobs and processes.
- Experience building and operating mobile-client features on iOS and Android.
- Exposure to lower-level languages such as Go, Rust, and Elixir.
- A strong moral compass that drives you to protect users and do the right thing.
Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. For this role, there is no formal requirement to work from the office. The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
Ready to apply?
Apply to Discord
Senior Software Engineer - Safety Experience
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Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.
As a Senior Engineer on the Safety Experience team, you'll lead the charge in making Discord's platform safer for hundreds of millions of users. You'll design, build, and maintain product features and systems that prevent harmful activities while ensuring regulatory compliance. Keeping users safe is essential for Discord's growth, making your team's work critical. This role reports to the Engineering Manager of Safety Experience.
What you'll be doing:
- Lead development of highly‑visible, user‑facing products that protect Discord's users.
- Design, build, and deploy robust production APIs, backend services, and data pipelines to launch safety features at scale.
- Collaborate cross‑functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
- Iterate on in-house tooling to supercharge our T&S workflows.
- Respond rapidly to the ever‑evolving abuse and compliance landscape.
What you should have:
- 5+ years experience writing Python and utilizing back-end API frameworks (Flask, Django).
- 5+ years experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
- Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
- Demonstrated success leading end‑to‑end delivery of complex projects: breaking down ambiguity, coordinating rollouts, and aligning stakeholders.
- Demonstrated ability to troubleshoot, debug, and test complex systems in a live, production environment.
- Exceptional communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
- Experience using metrics and dashboards to make data-driven decisions and develop insightful reports.
- Experience utilizing AI tools like Claude Code and Cursor to supercharge dev workflows
Bonus Points
- Experience in the Safety or Anti‑Abuse domain.
- Experience analyzing and visualizing data using Datadog or Mode.
- Familiarity with real‑time streaming systems like Kafka or Pub-Sub.
- Ability to contribute to offline analytics jobs and processes.
- Experience building and operating mobile‑client features on iOS and Android.
- Exposure to lower‑level languages such as Go, Rust, and Elixir.
- A strong moral compass that drives you to protect users and do the right thing.
Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.
The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
Ready to apply?
Apply to Discord