Overview

As the Senior Software Engineer for Scout Motor’s digital products, you will play a key role in the development and enhancement of our software products, from concept to deployment. You will work closely with cross-functional teams to design, develop, and implement scalable and robust solutions that meet our customers' needs and exceed their expectations. Some of the key products as part of digital portfolio are – mobile and desktop applications, vehicle connectivity solutions, mapping services, production, inventory and planning optimization, servicing and repairs, and more. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle
• Lead the architecture, design, and development of complex software systems, ensuring scalability, reliability, and performance
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications and deliverables
• Implement single sign-on solutions to allow users to authenticate once and access multiple applications securely. Design, implement and support identity, access and profile related services for multiple web applications, mobile apps and vehicle apps supporting internal and customer as users
• Implement best practices and standards for software development, including code reviews, testing, and documentation
• Mentor and coach junior team members, providing guidance and support to help them grow and succeed
• Stay current with emerging technologies and industry trends, continuously learning and experimenting with new tools and techniques to improve our software development process
• Be responsible for the services that are owned by your team, ensuring 24/7 on-call coverage

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. We will consider remote applicants for this role. This role is not eligible for remote work in New York City.
• The responsibilities of this role require one day a week attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Education/Certifications: A Bachelor’s degree in Computer Science, or a related technical field
• Years of Experience required: 5+ years in software development, with a focus on back-end technologies
• Communication: Strong written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders
• Ability to work effectively in a fast-paced, collaborative environment, both independently and as part of a team
• Proficiency in one of Go, Node.js, Python, Java, or Ruby
• Experience with both relational and/or non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, Redis)
• Experience with identity management systems (e.g., Azure AD, AWS Cognito, LDAP, Okta, Keyclock) and directory services for user authentication and management
• Strong understanding of software architecture, design patterns, and best practices
• Excellent problem-solving and troubleshooting skills, with a passion for finding elegant solutions to complex challenges

Preferred:

• Prior experience working experience in a manufacturing or automotive environment
• Hands on experience building on AWS using Go and/or Python
• Full-stack development

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000.00

Internal leveling code: IC9

About the Team

Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our capabilities.

We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better.

For California Only - The estimated annual salary for this position is between $300,000 - $425,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

Design and Development:

• Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
• Build distributed data pipelines for batch and real-time data processing.
• Design efficient and scalable systems that process large volumes of data.

Big Data Expertise:

• Leverage big data technologies such as, Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
• Work on data transformation, ingestion, and integration for both structured and unstructured data.
• Implement solutions for data lake and data warehouse integrations.

Real-Time Processing:

• Develop and maintain real-time data processing applications to support business-critical use cases.
• Optimize real-time data flows for low latency and high throughput.

Java Expertise:

• Write clean, efficient, and reusable code in Java, adhering to industry best practices.
• Optimize Java applications for performance, scalability, and reliability.
• Leverage Java frameworks such as Spring Boot for backend development.

Monitoring and Optimization:

• Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
• Design and implement performance tuning strategies for large-scale distributed systems.

We're excited if you have

• 7+ years of experience in backend development and distributed data processing.
• Proven expertise in designing and building scalable systems with Java.
• Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
• Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
• Strong understanding of distributed systems and microservices architecture.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of SQL and NoSQL databases (e.g., DynamoDB, or Aerospike).

#LI-JC5

About the Role

We are seeking a highly technical, strategic Senior Engineering Manager to lead our Core Content Platform team. In this role, you will define the technical vision and drive the execution of a highly scalable, cloud-agnostic data abstraction layer. You will lead a distributed organization of senior engineers to transition legacy services into a unified, next-generation data platform that natively integrates machine learning and AI capabilities. This is a high-impact leadership position requiring a deep background in distributed systems, real-time data pipelines, and organizational scaling.

For California Only - The estimated annual salary for this position is between $328,500 - $451,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What You'll Be Doing

• Technical Vision & Strategy: Drive the architectural roadmap for the platform, ensuring the team builds scalable, highly available, and cloud-agnostic data systems
• Engineering Execution: Oversee the design and deployment of real-time streaming pipelines and distributed data architecture (utilizing tools like Scala 3, Apache Flink, and distributed SQL databases such as CockroachDB)
• Team Leadership: Manage, mentor, and scale a high-performing engineering organization, fostering a culture of technical excellence across US-based and global teams
• Operational Excellence: Own the reliability, performance, and technical debt management of the data platform, ensuring high uptime and seamless delivery to internal and external partners

We're Excited If You Have

• 10+ years of hands-on experience in data engineering, backend architecture, and building highly scalable, distributed data platforms
• 7+ years of direct engineering management experience, with a proven track record of recruiting, leading, and retaining senior-level talent and managing distributed teams
• Deep expertise in building real-time data pipelines and large-scale data infrastructure
• Strong proficiency in modern backend and data engineering languages/frameworks (e.g., Scala, Java, Python) and streaming technologies
• Demonstrated ability to drive large-scale architectural migrations and manage complex technical debt.ML/AI Experience: Hands-on experience developing or managing GenAI-driven platforms, or natively integrating machine learning pipelines into core data services
• Experience with cloud-agnostic architectures and managing multi-cloud or hybrid deployments
• Domain experience in digital media, content platforms, or large-scale consumer applications.

#LI-SSC

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.

About the role

We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.

For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
• Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
• Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
• Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
• Remain significantly hands-on with critical features and architectural components
• Drive technical planning, prioritization, and execution aligned with business objectives
• Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
• Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
• Lead efforts in monitoring, observability, performance optimization, and production reliability at scale

We're excited if you have

• 10+ years of software engineering experience with significant time in technical leadership roles
• Proven expertise in building scalable, distributed, and streaming solutions in production environments
• Deep experience with content management systems, media processing, or publishing platforms
• Expert-level proficiency in Java or Scala required; Python experience is a strong plus
• Strong expertise in distributed systems architecture, microservices, and event-driven architectures
• Deep understanding of streaming technologies (Kafka, Redpanda, or similar
• Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
• Track record of leading complex technical projects from conception to production in high-scale environments
• Excellent communication skills and ability to influence technical decisions across teams and organizations
• Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
• Extensive experience with containerization and orchestration (Docker, Kubernetes
• Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems

#LI-SB-5

About the Role

We are seeking a seasoned Senior Backend Engineer to join the Roku APPS team and help shape our large-scale, consumer-facing platform. In this role, you will design, build, and operate highly available and scalable distributed services used by millions of devices worldwide. You will collaborate closely with Product and Design teams to drive features from concept to production, mentor engineers, and influence architectural decisions across the platform.

This role is ideal for a self-starter who thrives on solving complex problems at scale, has a strong operational mindset, and enjoys balancing hands-on engineering with strategic impact. You will have the opportunity to work on challenging distributed systems, help adopt best practices, and ensure our platform remains reliable, performant, and innovative.

About the Team

The Roku APPS team is a group of highly skilled technologists building innovative platform products and services that power the Roku ecosystem for over 100M+ users and streaming devices. We focus on critical device services - including setup, configuration, software updates, and smart home integration that ensure seamless experiences across millions of devices.

As part of Roku’s broader mission to lead the streaming industry, our team drives the architecture and implementation of scalable, reliable services that support the Roku platform and enhance the way users discover and interact with content. We thrive on solving complex technical challenges, delivering high-impact features, and shaping the future of connected entertainment.

For California Only - The estimated annual base salary for this position is between $250,000 - $280,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing

• Build and own large-scale platform services used internally and by millions of devices.
• Lead architectural discussions and design highly available, scalable, distributed systems.
• Partner with Product and Design to deliver features from ideation through production and ongoing support.
• Manage technical scope, priorities, and delivery timelines.
• Champion engineering excellence through hands-on development (70%), code/design reviews, and mentorship.
• Evaluate emerging technologies and drive adoption of best practices across engineering, QA, and operations.

We're excited if you have

• 8+ years of experience designing, building, and operating large-scale backend and distributed systems.
• Strong software development experience (Java preferred).
• Expertise in building large-scale cloud services in AWS and/or Google Cloud.
• Deep understanding of infrastructure fundamentals (networking, compute, storage, containers) with hands-on experience troubleshooting Kubernetes clusters and distributed systems in production.
• Experience selecting appropriate data stores and analyzing performance, scalability, and consistency trade-offs.
• Track record of monitoring deployments and diagnosing production issues.
• Strong understanding of end-to-end web architecture, from client devices to backend services.
• Bachelor’s degree in CS, CE, or equivalent experience.

#LI-SG1

Overview

As the Staff Software Engineer for Scout Motor’s digital products, you will be responsible for leading a team of highly skilled software engineers and driving the development of digital solutions for our customers and business partners. Some of the key products as part of digital portfolio are – order management, customer management, marketing, production, inventory and planning optimization, loyalty, merchandise, servicing and repairs, mobile app, vehicle connectivity, and more. You will work with engineering managers, senior engineers, and cross-functional partners to design the technical underpinnings of the product. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle.
• Partner with cross-functional partners (from product and design) to produce how and when plans to support systems and product requirements. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation
• Assess and recommend key tools and technology decisions that will power the digital product ecosystem. Influence decisions on build/buy/partner, contemplating today’s needs, and future enterprise requirements.
• Develop technology and best practices capable of supporting scalable, functional, and reliable software products and their associated integrations.
• Develop and lead the team to execute against both short-term and long-term roadmaps. Design, code, deploy and operate technical architecture and systems.
• Identify, scope, and lead large technical projects, laying the groundwork for early-stage products to iteratively evolve and scale, and taming complexity and shoring up reliability of existing systems
• Champion software engineering and operational excellence, establishing and improving metrics and processes. Set a high bar for engineering standards, tooling, and processes.
• Assist in calibrating and developing the software engineering team.
• Recruit and manage a team of software engineers, setting the bar for quality software development.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California.
• This role requires 2 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's or master's degree in computer science or a related field.
• 10+ years of experience in software engineering and scaling software products, providing technical leadership and direction for development, preferably with a focus on ecommerce, payments, digital products, and back-end platform development.
• Experience building comprehensive understanding of APIs, microservices, and other complex backend systems.
• Strong coding skills, navigating codebases with different languages (GoLang, Java, Kotlin and Swift) and tools, building and managing ci/cd pipelines supporting both web and mobile releases.
• Knowledge of potential system vulnerabilities and how to prevent them.
• Experience operating in start-up settings, launching 0 to 1 product, supporting early low-code tools, and driving graduation to highly customized applications.
• Experience as a technical lead for large projects (6+ months in length), including defining the roadmap for complex projects spanning multiple teams and functions
• Ability to internalize the best ideas from across the organization, humbly setting a vision that others are excited to get behind
• Experience integrating with 3rd party platforms and partnering with external service providers.
• 5+ years in leading high-performing software engineering teams. Direct evidence of the ability to guide, motivate, and inspire a team towards the successful completion of complex projects.

Nice to have

• Experience building data pipes and web/mobile analytics.
• Experience building systems in auto industry
• Full-stack development

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $165,000.00 - $200,000.00

Initial California base salary range = $181,500 - $220,000

Internal leveling code: IC8

What you’ll do

As the Senior Staff Software Engineer for Scout Motor’s digital products, you will be responsible for leading a team of highly skilled software engineers and driving the development of digital solutions for our customers and business partners. Some of the key products as part of digital portfolio are – order management, customer management, marketing, production, inventory and planning optimization, loyalty, merchandise, servicing and repairs, mobile app, vehicle connectivity, and more. You will work with engineering managers, senior engineers, and cross-functional partners to design the technical underpinnings of the product. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers. 

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle. 
• Partner with cross-functional partners (from product and design) to produce how and when plans to support systems and product requirements. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation 
• Assess and recommend key tools and technology decisions that will power the digital product ecosystem. Influence decisions on build/buy/partner, contemplating today’s needs, and future enterprise requirements. 
• Develop technology and best practices capable of supporting scalable, functional, and reliable software products and their associated integrations.  
• Develop and lead the team to execute against both short-term and long-term roadmaps. Design, code, deploy and operate technical architecture and systems.  
• Identify, scope, and lead large technical projects, laying the groundwork for early-stage products to iteratively evolve and scale, and taming complexity and shoring up reliability of existing systems 
• Champion software engineering and operational excellence, establishing and improving metrics and processes. Set a high bar for engineering standards, tooling, and processes. 
• Assist in calibrating and developing the software engineering team. 
• Recruit and manage a team of software engineers, setting the bar for quality software development. 

Location & Travel Expectations:

• This role will be based out of a Scout Motors location in Fremont, CA.
• The responsibilities of this role require attendance in the office with in-person meetings and events regularly.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's or master's degree in computer science or a related field.  
• 10+ years of experience in software engineering and scaling software products, providing technical leadership and direction for development, preferably with a focus on ecommerce, payments, digital products, and back-end platform development. 
• Experience building comprehensive understanding of APIs, microservices, and other complex backend systems. 
• Strong coding skills, navigating codebases with different languages (GoLang, Java, Kotlin and Swift) and tools, building and managing CI/CD pipelines supporting both web and mobile releases.   
• Knowledge of potential system vulnerabilities and how to prevent them. 
• Experience operating in start-up settings, launching 0 to 1 product, supporting early low-code tools, and driving graduation to highly customized applications. 
• Experience as a technical lead for large projects (6+ months in length), including defining the roadmap for complex projects spanning multiple teams and functions 
• Ability to internalize the best ideas from across the organization, humbly setting a vision that others are excited to get behind  
• Experience integrating with 3rd party platforms and partnering with external service providers.  
• 4+ years in leading high-performing software engineering teams. Direct evidence of the ability to guide, motivate, and inspire a team towards the successful completion of complex projects.  

Preferred:

• Experience building data pipes, AI/ML and web/mobile analytics. 
• Experience building systems in auto industry 
• Full-stack development  

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $180,000.00 - $220,000.00

CA initial base salary range= $198,000 - $242,000

Internal leveling code: IC7

About the Role

We are seeking a seasoned Senior Backend Engineer to join the Roku APPS team and help shape our large-scale, consumer-facing platform. In this role, you will design, build, and operate highly available and scalable distributed services used by millions of devices worldwide. You will collaborate closely with Product and Design teams to drive features from concept to production, while also mentoring engineers and influencing architectural decisions across the platform.

This role is ideal for a self-starter who thrives on solving complex problems at scale, has a strong operational mindset, and enjoys balancing hands-on engineering with strategic impact. You will have the opportunity to work on challenging distributed systems, contribute to the adoption of best practices, and ensure our platform remains reliable, performant, and innovative.

About the Team

The Roku APPS team is a group of highly skilled technologists building innovative platform products and services that power the Roku ecosystem for over 100M+ users and streaming devices. We focus on critical device services - including setup, configuration, software updates, and smart home integration that ensure seamless experiences across millions of devices.

As part of Roku’s broader mission to lead the streaming industry, our team drives the architecture and implementation of scalable, reliable services that support the Roku platform and enhance the way users discover and interact with content. We thrive on solving complex technical challenges, delivering high-impact features, and shaping the future of connected entertainment.

For California Only - The estimated annual salary for this position is between $275,000 - $300,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing

• Build and own large-scale platform services used internally and by millions of devices
• Lead architectural discussions and design highly available, scalable, distributed systems
• Partner with Product and Design to deliver features from ideation through production and ongoing support
• Manage technical scope, priorities, and delivery timelines
• Champion engineering excellence through hands-on development (70%), code/design reviews, and mentorship
• Evaluate emerging technologies and drive adoption of best practices across engineering, QA, and operations.

We're excited if you have

• 10+ years of experience designing, building, and operating large-scale backend and distributed systems
• Strong software development experience (Java preferred)
• Expertise in building large-scale cloud services in AWS and/or Google Cloud
• Deep understanding of infrastructure fundamentals (networking, compute, storage, containers) with hands-on experience troubleshooting Kubernetes clusters and distributed systems in production
• Experience selecting appropriate data stores and analyzing performance, scalability, and consistency trade-offs
• Track record of monitoring deployments and diagnosing production issues
• Strong understanding of end-to-end web architecture, from client devices to backend services
• Bachelor’s degree in CS, CE, or equivalent experience

#LI-SG1

About the Team 

Join a team dedicated to delivering customer-focused features that elevate user experiences on a global scale. Our team specializes in creating engaging content such as wallpapers, screensavers, trivia, featured experiences, AI projects for content generations, and more. Guided by an ambitious product roadmap, we aim to accelerate growth and scale by introducing innovative features to millions of users worldwide. We foster a culture of ownership where developers and engineers are self-motivated to tackle challenges and ship impactful solutions. Collaboration is key—engineers work closely with cross-functional teams, including UI design, product management, and business leadership, to make things happen. If you're passionate about reimagining the world of streaming media in a dynamic, collaborative environment, this is the team for you.

About the Role

Our products are known for their seamless integration and intuitive design, delighting users right out of the box. These qualities result from meticulous engineering and a commitment to excellence. As part of the engineering team, you’ll develop and manage features for Screensavers, Static & Dynamic Wallpapers, Trivia, Featured Experience, and AI initiatives. You will be working on AI initiatives to develop new features on platforms to create user-enhancing experiments.

For California Only - The estimated annual salary for this position is between $170,000 - $210,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off."

What You'll Be Doing 

• Designing and developing features for new Experiences on the Roku platform
• Creating a PoC to elaborate on ideas and work in a startup mindset to break fast and deliver quickly
• Collaborating with UI/UX design and backend team to create and implement new experiences
• Adapting PoCs for productionising the solution 
• Investigating, diagnosing, and resolving issues to maintain commercially viable solutions

We Are Excited If You Have

• Bachelor's or Master's degree in Computer Science or a related field 
• Substantial project experience using AI agentic workflows 
• Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies
• Experience with C++, especially in embedded environments
• Consumer electronics experience in media/content or ad product development is a plus
• Experience in productionizing solutions, including content management, UI development, cloud development, and cloud backend integration
• Knowledge of Core OS concepts like memory management and multi-threading
• Experience in API design, with an understanding of considerations and trade-offs
• Strong communication skills, as this role involves frequent collaboration across teams
• If you're a pragmatic dreamer passionate about shaping the future of media experiences, we’d love to hear from you

#LI-DH2

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We’re looking for a Backend Software Engineer to design and build the core systems that power Thatch. This includes data models, fund flows, automations, and integrations that make healthcare benefits work reliably at scale. Your work ensures money moves correctly, benefits remain compliant, and complex processes work reliably. This work touches real money and real healthcare decisions. The systems you build must be correct, resilient, and built to scale.

We organize engineering around the people we serve: members, employers, and partners, so teams own end-to-end experiences and ship with speed and accountability.

About the role

Thatch is rewiring how health benefits work. We build software that powers employer-funded coverage and gives employees real control over how they use their benefits.

We’re looking for a Full Stack Software Engineer to own broad product surfaces, from concept to production. You’ll build across the frontend and backend systems that power onboarding, benefits management, and payments. This work touches real money and real healthcare decisions. Correctness and reliability matter, but so does making the experience feel simple for the people using it.

We organize engineering around the people we serve: members, employers, and partners, so teams own end-to-end experiences and ship with speed and accountability.

What you'll do

• Take ownership of meaningful product areas from idea through production.
• Ship quickly, but never at the expense of correctness or long-term maintainability.
• Contribute across the stack, from user-facing interfaces to backend services.
• Translate real user and business needs into clear, pragmatic technical solutions.
• Set and uphold a high bar for code quality, system design, and product polish.
• Take responsibility for production systems, including reliability, debugging, and continuous improvement. 

What we are looking for

• Experience building and shipping production web applications across the stack.
• Strong product judgment and comfort working through ambiguity.
• Ability to reason about complex systems and business logic.
• Familiarity with modern engineering tools and frameworks.
• A track record of ownership, cross-functional collaboration, and good technical decision-making.

We hire engineers across multiple levels and care most about the scope you’ve owned, the impact you’ve had, and how you make decisions.

Tools and tech stack

• Ruby on Rails for backend systems.
• React and TailwindCSS for the frontend.
• Small amounts of Python and backend JavaScript where appropriate. 

Prior Ruby experience is helpful but not required. We care far more about how you think than which language you know.

Experience that stands out

• Work in healthcare, finance, or other complex or regulated domains.
• Experience with HR, payroll, payments, or partner-facing systems.
• Ownership of systems with real operational or financial impact.

How we work

• We move quickly and bias toward action.
• We ship early, learn from real usage, and iterate.
• We operate with trust, ownership, and high empathy.
• We value clarity over ceremony and quality over shortcuts.

What to expect

We aim to keep the process thoughtful, rigorous, and efficient. Most candidates complete it within three weeks. You can expect:

• An initial conversation with a recruiter.
• A collaborative pair programming session.
• A systems design interview and a separate conversation with one of our engineers about how we work together.
• A final conversation with engineering and company leadership.

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We're looking for a Full Stack Engineer to join our Product Engagement team and improve how members and employers experience Thatch, from account creation through enrollment.

You’ll work on the product surfaces and systems that drive activation and engagement. That includes building user-facing features, the backend systems that support them, and the instrumentation needed to understand what’s working.

This is a product engineering role. You’ll work across the stack, partner closely with product and design, and ship changes that directly impact how customers experience Thatch. 

What you will do

• Own and improve core product flows related to onboarding, activation, and enrollment.
• Build and ship full stack features, from backend services to user-facing interfaces.
• Instrument product surfaces to understand user behavior and identify opportunities for improvement. 
• Design, test, and iterate on changes that improve conversion.
• Work closely with product, design, and cross-functional partners to ship solutions.
• Contribute to systems that support engagement and lifecycle messaging.

What we are looking for

• Experience building and shipping production web applications across the stack.
• Strong product judgment and comfort working through ambiguity.
• Ability to reason about user behavior and use data to inform decisions.
• Experience owning features end-to-end.
• Track record of cross-functional collaboration and good technical decision-making.

We care most about the scope you’ve owned, the impact you’ve had, and how you make decisions.

Tools and tech stack

• Ruby on Rails.
• React and TailwindCSS.
• Mixpanel, Segment, Braze.

Experience that stands out

• Work on onboarding, activation, or engagement-focused product areas.
• Experience at an early-stage or high-growth company.
• Background in healthcare, finance, or similarly complex domains.

How we work

• We move quickly and are biased toward action.
• We ship early, learn from real usage, and iterate.
• We operate with trust, ownership, and high empathy.
• We value clarity over ceremony and quality over shortcuts.

What to expect

We aim to keep the process thoughtful and efficient. Most candidates complete it within about three weeks. You can expect:

• An initial conversation with a recruiter.
• A conversation with the hiring manager.
• A collaborative pair programming session, followed by a systems design interview and a separate conversation with one of our engineering managers about how we work together.
• A final conversation with engineering and company leadership.

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

Tenable is seeking a Senior Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 4+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.

And Ideally:

• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first. If you can process data at scale, we can teach you the security domain.

#LI-LP1

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As Senior Technical Recruiter at Faraday Future, you’ll be working with some of the industry’s brightest minds to ensure we hire the best talent for our AI-Robotics team. A successful candidate in this role is someone who is scrappy, isn’t afraid of ambiguity, is able to multi-task and can work effectively within a team both as a leader and as an individual contributor. Recruiting at Faraday Future is a team effort, and your success is paramount to our team’s success. You will be expected to be very hands-on be a proactive sourcer and planner. You will help train hiring managers in the best practices of the latest hiring techniques and manage an entire full lifecycle of the talent acquisition process to ensure that we have a steady source of talent. You will also guide them through complex immigration processes and ensure a smooth onboarding experience. Your work will directly influence our ability to scale globally, diversify our workforce, and maintain compliance with evolving employment laws. This position is 100% onsite. 

Responsibilities:

Full-Cycle Technical Recruiting

• Manage end-to-end recruitment for technical roles, including AI/ML engineers, blockchain developers, backend/frontend engineers, data engineers, and platform roles.
• You will be expected to build strong relationships with our senior leadership and hiring managers to help guide them through your talent acquisition process
• You will be expected to assist hiring managers and organizational leaders in building strong and attractive job descriptions and help promote the positions online and through your network
• Partner closely with hiring managers to understand technical requirements, role scope, hiring priorities and define role requirements and create compelling job postings that attract the right talent.
• Conduct initial candidate screens to assess technical competencies, cultural fit, and motivation.
• You'll work very closely with candidates and hiring managers throughout the hiring process, managing expectations and building outstanding client relationships
• You are also expected to be knowledgeable of all applicable local, state, and federal employment laws to ensure our recruiting and hiring practices are compliant according to the best practices laid out by federal and state requirements
• Manage the full recruitment lifecycle—from initial outreach to offer negotiation—while ensuring a positive candidate experience.

Talent Sourcing and Pipeline Development

• Proactively source and build diverse, high-quality talent pipelines for current and future hiring needs.
• You will be responsible for creating and maintaining a robust talent pipeline with strong emphasis on the candidate’s experience throughout
• Utilizing proactive recruiting techniques, you will also be using social media sites as well as the use of other recruiting tools in order to be able to select qualified individuals who will provide added value to FF
• Engage passive candidates through targeted outreach and relationship-building.

Interview Coordination and Hiring Support

• Coordinate interviews and assessments, ensuring a smooth and efficient candidate experience.
• Gather and synthesize interview feedback to support hiring decisions.
• Assist with offer preparation, negotiation, and closing of candidates.
• You will also be facilitating all aspects of the interview process by building interview kits for each position where you will outline and define the questions being asked throughout the candidate selection process

Process Optimization and Collaboration

• Maintain accurate and up-to-date candidate data in the applicant tracking system (ATS).
• Identify opportunities to improve recruiting processes, candidate experience, and time-to-hire.
• Collaborate with the TA Lead, HRBP, and People Operations teams to align recruiting efforts with broader people strategies.
• Collaborate with legal and HR teams to coordinate immigration processes, including H-1B, O-1, TN, and green card sponsorships.
• Maintain up-to-date knowledge of U.S. immigration policies and employment law to ensure compliance.
• Support HR initiatives such as onboarding, employee engagement programs, and policy updates.
• Track and report recruiting metrics to continuously improve sourcing strategies and hiring efficiency.
• Participate in and plan networking, recruiting and hiring events 

Basic Qualifications:

• Bachelor’s degree or equivalent experience
• 5+ years of full cycle recruiting experience with both agency and in-house experience
• 3+ years of experience in technical recruiting, preferably in a fast-paced, high-growth environment.
• Demonstrated track record of excellence in sourcing and assessing technical talent and managing candidate pipelines while executing against a timeline
• Strong understanding of technical roles and skills, with the ability to assess candidate fit beyond the résumé.
• Skilled in offer negotiation, awareness of pertinent employment legislation and employment market trends
• Experienced in using Greenhouse ATS or similar.
• Familiarity with U.S. immigration processes and documentation, including visa sponsorship and compliance requirements.
• Excellent communication skills and the ability to build trust with candidates and stakeholders.
• A proactive, solutions-oriented mindset and the ability to thrive in ambiguity.
• Strong communication skills, organizational and negotiation skills
• Strong software experience using MS Office Suite
• Ability to operate in a fast-changing, ambiguous environment with minimal supervision.
• Passion for technology and curiosity about emerging trends in AI and decentralized systems.

Preferred Qualifications:

• Experience with diversity and inclusion sourcing strategy and hiring.
• Understanding software engineering, AI, or blockchain role requirements and hiring profiles.

Annual Salary Range:

($100,000.00 - $120,000.00 DOE), plus benefits and incentive plans

 Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

THE ROLE 

As a Senior Software Engineer in Production Engineering, you will own the continuous integration (CI) and test-orchestration platform that enables FlashArray and FlashBlade teams to ship high-quality products at predictable velocity. This is a developer-first, highly visible role with real operational responsibility: you will design, build, and run the systems behind code merges and release operations, with a strong focus on developer experience. You’ll turn quality gates into automation instead of process, and use data and observability to continually improve reliability, throughput, and time to signal. You will work closely with engineering teams across the organization to accelerate Everpure innovation.

WHAT YOU’LL DO

• Design and implement CI and test-orchestration services, tools, and pipelines that provide fast, reliable, high-quality feedback for engineers across FlashArray and FlashBlade.
• Build and extend developer-facing automation (services, CLIs, APIs, scripts) that simplify onboarding, configuration, and debugging of CI and release workflows.
• Define and encode quality gates and signals (run rates, pass rates, flakiness thresholds, coverage, escape metrics) directly into CI and release systems.
• Develop and maintain metrics, queries, and dashboards that give clear visibility into CI and release health, and use them to drive targeted improvements.
• Integrate and evolve observability (metrics, logs, traces, alerts) for CI and test-orchestration services to reduce time-to-detect and time-to-resolve incidents.
• Participate in on-call duty rotations for CI and test-orchestration infrastructure; lead incident triage and mitigation, bring order to chaos, and ensure thorough follow-through on root-cause fixes.
• Lead or contribute to cross-functional projects with engineering teams and TPMs to improve CI and release quality, developer experience, and overall reliability.

WHAT YOU BRING

• Strong ownership and accountability, with the ability to collaborate and influence across teams and time zones, while continuously learning and helping others level up on CI and release operations, and keeping mainline branches healthy.
• Calm under pressure, leading high-impact incidents while maintaining focus and clarity.
• 8+ years of experience in software engineering, production engineering, SRE, or DevOps, including designing, building, and owning backend services or tooling (not just ad-hoc scripts), with proven experience leading technical projects or initiatives that span multiple teams or services, especially in CI, test, or release domains.
• Strong software engineering fundamentals and distributed systems understanding, with a track record of improving reliability, performance, or overall product quality.
• Proficiency in at least one modern programming language (e.g. Python, Go) and strong scripting skills (e.g. Bash, Python) for automation and diagnostics.
• Hands-on experience with CI concepts and tooling (e.g. Jenkins), including pipeline-as-code, job configuration (often via Groovy or equivalent DSL), managing multi-job CI workflows, and using database/analytics tools (e.g. SQL) and metrics to analyze and improve CI and release processes.
• Solid Linux/Unix fundamentals and demonstrated ability to debug issues across OS, network, storage, and application layers in production or CI environments.

#LI-Onsite

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As Staff Engineer, AI & Business Operations, you will be responsible for building an enterprise-grade AI Agent platform that elevates large model capabilities from an “information generation tool” to “executable business productivity,” driving AI to play a deep role in the company’s core business processes and operational decision-making. You will lead the design and implementation of an enterprise-level Agent system similar to OpenClaw, connecting AI models, enterprise data, and business systems to deliver an end-to-end closed loop: task understanding → data retrieval → decision generation → automated execution. The platform will serve sales and commercial systems and gradually expand to enterprise operations and management scenarios.

Key Responsibilities:

• AI Agent Platform Development: Design and implement an enterprise-grade AI Agent platform (Agent Runtime) supporting task understanding, planning, multi-step execution, and state management (memory). Build a unified Tools Layer that encapsulates enterprise APIs, data services, and operational capabilities, enabling Agents to securely invoke CRM, ERP, data platforms, and other systems. Design multi-Agent and multi-step collaboration mechanisms to support automated execution of complex business workflows.
• Workflow Automation & Orchestration: Based on OpenClaw or similar frameworks, build cross-system task orchestration capabilities to achieve a closed loop from AI-driven insights to business execution. Design secure and controllable execution mechanisms including approval nodes, human-in-the-loop collaboration, and rollback strategies. Drive AI automation in business processes such as customer follow-up, task generation, data updates, and process triggering.
• AI Enablement for Sales & Commercial Systems: Build AI Copilot and Agent capabilities to support sales operations, lead management, and customer engagement. Integrate with CRM, CPQ, order management, and customer service systems to achieve deep fusion of AI and business processes.
• AI Enablement for Enterprise Strategy & Operations: Collaborate with management and operational teams to identify AI application scenarios in revenue growth, conversion optimization, customer operations, cost control, and risk management. Build a Decision Copilot for leadership to support data-driven decision-making. Connect data platforms and AI systems to enable the flow: Data → Insights → Decisions → Execution (via Agent automation). Establish a quantitative evaluation system linking AI outcomes to business KPIs such as revenue, conversion rates, and efficiency gains.
• RAG & Enterprise Knowledge System: Build an enterprise-grade Retrieval-Augmented Generation (RAG) system integrating knowledge bases, business data, and real-time information. Support permission-aware retrieval, citation tracing, result explanation, and temporal sensitivity controls. Optimize embeddings, indexing strategies, reranking, and caching mechanisms to improve accuracy and performance.
• Security, Governance & Production Systems: Design security and governance mechanisms for AI systems, including execution tiering (read-only / low-risk / high-risk operations). Build a comprehensive audit and compliance framework to make AI behavior traceable and explainable. Establish a production-grade evaluation system (offline + online), A/B testing, and continuous optimization processes.
• Observability & Platform Engineering: Build AI system observability capabilities including logging, tracing, and metrics. Monitor model calls, tool execution paths, latency, and costs. Drive platform engineering efforts to standardize and scale AI capabilities across the organization.
• Technical Leadership: As a Staff Engineer, lead system architecture design and key technical decisions. Drive AI capabilities from PoC to organization-wide scaled deployment. Guide engineering teams on best practices in Agent development, automation, and AI applications. Bridge technology and business to advance the AI strategy.

Basic Qualifications:

• Education: Bachelor’s degree or above in Computer Science or a related field.
• Experience: 7+ years of software engineering experience, including 2–3 years of experience with AI/LLM/Agent systems.
• Backend Engineering: Strong backend engineering skills with proficiency in Python (core), or Java / Node.js.
• Agent Development: Hands-on experience building AI Agent / automated execution systems (tool calling, multi-step tasks, workflows).
• Retrieval & Search: Familiarity with RAG, vector databases, retrieval, and reranking mechanisms.
• Systems Integration: Experience with API design, system integration, and distributed architecture.
• Cloud Native: Cloud-native experience with AWS/GCP, Docker, and Kubernetes.
• Security: Familiarity with OAuth2/OIDC, access control, and security-by-design principles.
• Business Acumen: Ability to translate business problems into AI solutions.
• Collaboration: Strong cross-functional communication and influence skills.

Preferred Qualifications:

1. OpenClaw Experience: Experience with OpenClaw or similar Agent / automated execution frameworks.
2. Enterprise AI Platform: Experience building enterprise-grade AI platforms or internal tooling platforms.
3. Business Systems: Experience with CRM, ERP, RevOps, or commercial systems.
4. AI + Data Platform: Experience combining AI with data platforms or BI systems.
5. Multi-Agent Orchestration: Familiarity with multi-Agent collaboration and complex workflow orchestration.
6. Business Impact: Proven track record of using AI to drive measurable improvements in business KPIs.
7. Enterprise AI Transformation: Experience leading enterprise AI transformation or scaling AI deployments.
8. IT / Infrastructure Automation: Experience with IT / infrastructure automation (API / SSH / network devices).

Salary Range:

($130K-$150K DOE) plus benefits and incentive plans

 Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.
On top of it all you will have fun. Cribl strives to be a great place to work for everyone. 

As An Active Member Of Our Team, You Will...

• Work with the product engineering teams to prototype and experiment with new AI features
• Work across backend, frontend, and interact with LLMs and/or other ML models
• Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
• Stay up-to-date with the latest AI technologies and trends
• Work closely with fine tuning models, Prompt Engineering, and Inference Platforms
• This position will require stand-by, on-call, or off-hours duties

If You've Got It - We Want It

• Bachelor's degree in CS/EE with 6+ years of industry experience
• Ability to problem solve from first principles and maintain focus on overarching objectives
• Prior experience in contributing to products that have gained significant user traction or scaled to a large user base
• Experience as an AI/ML Engineer
• Experience with ML Ops
• Experience with Typescript/JavaScript and either Node or React

Salary Range ($200,000 - $250,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

Most engineers ship features. You'll ship outcomes, directly in the hands of customers, on live systems, where it actually counts. And you'll do it faster than anyone thought possible.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Software Engineers for our AI Agents?

AI agents don't fail in demos. They fail in production, when the edge case hits, the prompt breaks, or the integration misbehaves in front of a real customer. That gap between "it works in the sandbox" and "it works in the wild" is exactly where this role lives.

We're deploying AI agents for some of the world's biggest brands. Each one has unique workflows, data, and stakes. We need engineers who can sit across from a customer, understand the problem, and build the solution fast, not hand off a spec and wait. If you treat AI as a core part of your toolkit and not an afterthought, you'll move at the speed this role demands.

The Role

You'll own the full technical lifecycle of customer AI agent deployments, from first integration to live monitoring, working at the intersection of product, engineering, and customer outcomes. This role is for engineers who use AI to compress timelines, ship higher-quality work, and want their impact felt immediately, not six months from now.

You might be this person if:

• You think in systems — inputs, outputs, failure modes — and you naturally ask "what happens when this breaks?" before anyone else does
• You've debugged something live, under pressure, with a customer watching, and you didn't flinch
• You use AI tools daily to prototype, debug, and iterate, and you've figured out how to get 10x the output without cutting corners on quality
• You read a system prompt the way a compiler reads code, spotting logic gaps, unintended behaviors, and edge cases others miss
• You've built something end-to-end, frontend to backend to deployment, and you're proud of how it actually held up
• You learn fastest by building, not by reading docs, and you've shipped something with a new API within days of touching it for the first time
• You care about what the customer actually experiences, not just whether the tests pass
• Ambiguity doesn't slow you down. You'd rather build a rough solution and iterate than wait for a perfect brief

You need to have:

• 2-3 years of hands-on software engineering experience in full-stack or backend development
• Strong Python proficiency and the ability to write clean, maintainable code under real-world constraints
• Practical experience with React and modern JavaScript/TypeScript on the frontend, plus backend frameworks like Node.js, Django, or Express
• Hands-on experience with LLM APIs (e.g., OpenAI, Claude) or agent frameworks such as LangChain
• Familiarity with RAG pipelines, knowledge base integration, and cloud deployment platforms (e.g., AWS Lambda, Vercel, GCP Cloud Functions)

What you'll actually do:

• Deploy production-grade AI agents tailored to each customer's environment, owning setup, configuration, and go-live
• Tune system prompts and agent behaviors against real-world use cases, using AI-assisted workflows to move from hypothesis to working solution faster than a traditional dev cycle allows
• Prototype and ship fast, leveraging agentic coding tools to build agent interfaces, dashboards, and backend integrations with Next.js, React, and modern APIs
• Integrate RAG pipelines and knowledge bases that give agents the context they need to perform
• Monitor live deployments with logging, metrics, and observability so issues surface before customers notice them
• Collaborate with Forward Deployed PMs, core product, and design to turn customer needs into working solutions, often building a prototype before the meeting ends
• Lead technical demos, document implementation decisions, and maintain architecture diagrams that actually reflect reality

Added Value

• Prior experience tuning or debugging AI agent performance in live, production environments - or in a forward deployed setting
• Background in 0-to-1 builds, customer-facing implementation, or technical consulting, with a track record of navigating the messiness of real deployments

What we offer:

We take care of the people who build the future. Here's some of what you can expect when you join Sendbird.

• Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents.
• Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off.
• $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more.
• Parental leave for all new parents. Time to be present for the moments that matter most.
• 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform.
• HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses.
• Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you.

Pay Transparency

For cash compensation, we set standard ranges for all roles based on function, level, and geographic location.  To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies.   A reasonable estimate of the current salary range for this role is $150,000 - $180,000 .  This range is specific to the San Francisco Bay market.  We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above.

Flexible Work Policy

We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird

We're not iterating on an existing product. We're building a new category, AI that genuinely delights customers, on top of infrastructure that's already at enterprise scale. This role puts you at the center of that: real customers, real deployments, real impact. If you want to own outcomes and help define what forward-deployed AI engineering looks like, this is the place.

Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.

You don't just demo software, you change how people think about what's possible. If you want to be the person in the room who makes engineers lean forward and executives say "when can we start," read on.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations chat, voice, video, messaging APIs and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI first customer experience. By February 2025, we'd launched our AI agent for enterprise CX built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel chat, SMS, email, voice, WhatsApp without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Sales Engineer

AI is reshaping how enterprises think about customer communication. Sophisticated buyers no longer just want to know if our platform works. They want to know if it works for them, at their scale, inside their architecture, with their team.

We're at an inflection point: a decade of conversation infrastructure, now with AI on top, and a pipeline of buyers who need a technical partner, not a pitch deck. The Sales Engineers who thrive here earn trust from a principal engineer and a VP of Product in the same meeting, and use AI natively to work faster, demo smarter, and operate at a scale a traditional SE simply couldn't.

The Role

You own the technical sales cycle, from discovery through solution design to close, turning complex customer problems into confident reasons to choose Sendbird. You thrive at the intersection of technical depth and business impact, know the difference between a demo that informs and one that inspires, and use AI natively to move faster and do more than a traditional SE could alone. This is a hybrid role based in our San Mateo office (3 days/week). This role reports to the Global Head of Technical Services, based in San Mateo, CA

You might be this person if:

• Mapping a customer's architecture is a puzzle to solve, not a box to check, and you've already spun up a Claude Project or n8n workflow to automate the research before the call ends.
• You read a room fast, shifting depth and language on the fly between a skeptical backend engineer and a time pressed CTO.
• Your demos tell a story. You don't walk through features, you show people a future they hadn't imagined, using AI powered prototypes and agentic tools to make it land.
• You build Claude Projects, custom GPTs, and agentic workflows for your team out of genuine curiosity, not because your job requires it.
• You treat every discovery call like a research project, backed by AI-assisted prep agents and follow-up automations in Make or n8n so the repetitive work runs without you.
• You figure out what the customer needs before they tell you, propose the architecture, and ship it. If a bespoke dashboard or Claude-powered automation would close the deal, you build it.
• You're energized by multiple complex deals at once, partly because AI agents and workflow automation have eliminated the parts that don't require you.

You need to have:

• 3+ years in Sales Engineering (pre-sales) at a developer-focused platform SaaS and/or CPaaS company
• Bachelor's degree (CS, EE) or equivalent combination of education and experience
• Hands-on fluency with RESTful APIs, mobile SDKs, and integration workflows, with a clear understanding of how modern customer engagement workflows are built and scaled
• Working knowledge of at least one development environment (JavaScript/React, iOS/Swift, Android/Kotlin, Unity, React Native, or Flutter)
• Practical experience with generative AI concepts including LLMs, AI agents, and agentic workflows. You've built with these tools, not just read about them
• Familiarity with AI tooling such as Claude or ChatGPT, and automation platforms such as Make, Zapier, or n8n. Experience stringing together APIs or building lightweight automations is a strong plus
• Confidence navigating security and compliance conversations (SOC 2, ISO-27001/42001, HIPAA, GDPR) with technical and non-technical stakeholders
• Strong written and verbal communication in English
• Ability to travel for customer onsite visits

What you'll actually do:

• Own the technical narrative across the full deal cycle, from discovery calls and technical deep dives to executive presentations, alongside Account Executives at every stage.
• Run structured discovery with engineers, product managers, and architects to surface real pain points and map them to Sendbird's APIs, SDKs, and AI agent capabilities, using AI-assisted prep workflows to come in sharper every time.
• Design solution architectures tailored to each customer's stack and goals, whether they're building an AI-powered in-app chat experience, deploying an AI support agent, or scaling to millions of users.
• Build and deliver demos that go beyond feature walkthroughs, using agentic tools and custom prototypes to show customers what their product could actually become with Sendbird underneath it.
• Automate repeatable pre-sales work, including lead research, follow-up summaries, and demo environment setup, using tools like Claude, Make, or n8n, freeing you for the work AI can't do.
• Articulate Sendbird's security and compliance posture clearly and confidently, helping enterprise buyers navigate procurement.
• Work closely with Product and Engineering to feed pre-sales insights back into the roadmap, serving as a direct line between the market and the people building the product.
• Track emerging trends in AI agents, developer tooling, and communication infrastructure, and bring those insights into customer conversations.

What we offer:

We take care of the people who build the future. Here's some of what you can expect when you join Sendbird.

• Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents.
• Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off.
• $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more.
• Parental leave for all new parents. Time to be present for the moments that matter most.
• 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform.
• HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses.
• Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you.

Pay Transparency

For cash compensation, we set standard ranges for all roles based on function, level, and geographic location.  To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies.   A reasonable estimate of the current salary range for this role is $200,000.00 - $235,000.00.  This range is specific to the San Francisco Bay market.  We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above.

Flexible Work Policy

We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird

We just made one of the boldest pivots in our company's history and we're already seeing it pay off. If you want to sell something that's genuinely changing how enterprises think about AI and customer experience, this is it. You'll have real ownership, real access to leadership, and real impact on how we win. We move fast. We build things that matter. Come help us close the deals that define what delight.ai becomes.

Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
• Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
• Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
• Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
• Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Experience architecting and building growth surfaces or marketing engineering systems.
• Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
• Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
• A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.

Bonus points

• Experience managing remote or distributed engineering teams.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

As an Astera Labs Physical Design Engineer (Place & Route) to play a crucial role in the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This is a generalist physical design role requiring broad expertise across floorplanning, place-and-route, timing closure, and physical sign-off. You will work closely with designers, verification engineering, and engineering operations to drive blocks from RTL to GDSII. This role is fully on-site and in-person.

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Bachelor's degree in EE / Computer Engineering is required, and a Master's degree is preferred.
• 3+ years of experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, plan and prepare for customer meetings in advance, and work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind!

Required Experience:

• Hands-on and thorough knowledge of synthesis, place and route, timing, extraction, EM-IR, formal verification (equivalence) and other backend tools and methodologies for technologies 7nm or less.
• Block level ownership from architecture to GDSII, driving multiple complex designs to production.
• Experience with Cadence and/or Synopsys physical design tools/flows.
• Familiarity and working knowledge of SystemVerilog/Verilog.
• Proven expertise in developing/maintaining timing constraints, timing signoff methodology, timing closure at the block or full-chip level.
• Experience in working with IP vendors for both RTL and hard-macro blocks.
• Good scripting skills in Tcl, Python, or Perl.

Nice to Have Experience Includes:

• Knowledge of design for test (DFT).
• Familiarity with ECO methodologies and tools.
• Knowledge of LVS/DRC closures.
• Experience with high-speed SERDES or Ethernet PHY design integration.
• Experience with clock tree synthesis optimization.
• Familiarity with PCIe, CXL, or Ethernet connectivity protocols.

Meet our software engineers!

About the role

We are looking for an AI engineer to join a small, high-impact team building the AI capabilities, agent frameworks, and app platform that power every Applied product and the workflows our own engineers rely on daily. This is a 0 to 1 role with real customer demand already behind it and the potential to scale into a major new business line. You’ll operate like a startup within a larger, well-resourced company – with the freedom to experiment, ship fast, and work directly with customers.

At Applied Intuition, you will:

• Design and ship the shared AI infrastructure, frameworks, and tooling that power AI capabilities across Applied’s products and toolings.
• Partner with product teams to identify the highest-leverage AI use cases and take them from idea to production.
• Serve as a GenAI/LLM expert across the company – owning best practices for architecture, safety, evaluation, and deployment.
• Design, build, and ship agentic systems such as background coding agents, AI SRE tooling
• Work directly with customers to understand their needs, demo capabilities, and shape the product roadmap. Both external customers and internal teams are your customers.

We're looking for someone who has:

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 2+ years of experience building and deploying AI/ML-powered features & products
• Hands-on proficiency working with LLMs and agentic architectures.
• Strong software engineering fundamentals and a bias toward shipping production-quality code quickly
• Comfort working across the stack, from backend infrastructure to APIs to frontend work.
• A collaborative mindset and genuine enjoyment of customer interaction – both with external customers and internal teams who depend on your work.
• Proven ability to take initiative and context-switch across multiple high-priority projects in a fast-paced environment

Nice to have:

• Practical ML literacy – you understand model evaluation, data pipelines, and the tradeoffs between approaches
• Background in developer tooling, platform engineering, or internal productivity infrastructure
• Experience working with autonomous vehicle systems or simulation software

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $126,000 - $250,000 USD annually.

About Wholesail ⛵️

Wholesale trade, a $55T global market, still operates like the world before the internet and modern payment networks: collection processes are manual and run on paper, short-term credit risk is assumed by the vendor, and businesses rely heavily on legacy ERP systems that don't talk to each other. The result is large, measurable drag — we estimate that vendors spend over $500B a year globally across industries on an inefficient mix of processing, bad debt, lending, credit insurance, software, and labor costs to get paid.

Wholesail is building a financial network from the ground up that connects the systems of vendors and buyers involved in wholesale trade to enable streamlined payment and the transfer of risk to third parties. This will allow vendors to offload risk and eliminate tens of billions of waste — while giving creditworthy buyers better terms and third-party capital, unlocking hundreds of billions (ultimately trillions) in additional sales. The primitives of this network scale across industries and geographies: a universal approach to ERP integrations, modern payment rails, and a live trade-credit bureau to underwrite risk — which we're calling Lighthouse.

The Opportunity: Risk & Capital Products 🚢

Credit is the load-bearing beam of our network. Every time a vendor ships goods before getting paid, someone is taking a risk — today it's the vendor, tomorrow it should be a third party at a fair price. Getting that transfer right is what unlocks the next order of magnitude of sales across the wholesale economy, and the only way to get it right is to underwrite buyers more accurately than anyone else in the industry. Listen to the Visa episode of the Acquired podcast to learn how credit card networks did this for retail trade. 

We think we're uniquely positioned to do this. Through Lighthouse, we're building a live, reciprocal trade-credit bureau: vendors on our network contribute real-time payment behavior on a long tail of SMB buyers that no traditional bureau sees. That data — combined with the bank, ERP, and transaction signals already flowing through Wholesail — is a modeling dataset that doesn't exist anywhere else. The first MLE on this team gets to decide what we build with it.

The problems are real and the stakes are significant. Our models directly shape the terms buyers are offered and the losses Wholesail and our capital partners absorb. There's no established playbook here and no legacy stack to inherit — you'll be setting the direction for how we do modeling, data engineering, and production ML at Wholesail for years to come.

The Role ⚒️

As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit risk modeling end-to-end — from problem framing and data pipeline design, through model development and validation, through production serving and monitoring. You'll work directly with the hiring manager, our engineering and product leadership, and our hands-on advisor Dan Massoni (former Chief Commercial Credit Officer of American Express) to decide what to build, explore features to model and how you’ll scale our approach risk scoring. .

Expect your work to span:

• Modeling. Design, build, and validate credit risk models (PD, LGD, EAD, fraud, exposure sizing, pricing) against our proprietary reciprocal-bureau data and external signals. Choose the right tool for the job — gradient-boosted trees, deep models, LLMs, or classical statistical models — and defend the choice.
• Data engineering. Build the pipelines, feature logic, and training datasets that your models (and future models) run on. At this stage, the MLE owns the full data path; over time we'll grow a team around you.
• Productionization. Ship models into production systems where they make real decisions on real dollars. Own deployment, monitoring, drift detection, and iteration.
• Partnering cross-functionally. Work closely with product, engineering, capital markets, and external lending and insurance partners. Explain your models to people who care about the outcomes but not the math, and translate their constraints back into modeling decisions.
• Shaping the team. Help define the hiring bar and interview process for the data scientists and MLEs who will join after you. You'll have a strong voice in what this team becomes.

Qualifications

• 5+ years of experience building models for production use cases.
• Deep modeling skill: strong command of supervised learning on tabular data, including feature engineering, model selection, hyperparameter tuning, calibration, and rigorous offline and online evaluation.
• Strong data engineering skills — comfortable owning ETL and feature pipelines end-to-end against real, messy production data (SQL and a modern data-processing stack).
• Proficiency in Python and the modern ML ecosystem (pandas, scikit-learn, PyTorch or TensorFlow, XGBoost/LightGBM, Jupyter, etc.).
• Solid statistical reasoning — you can spot leakage, selection bias, label noise, and spurious correlations, and you know why your offline metric doesn't always predict online performance.
• Track record of owning models end-to-end: not just prototyping in a notebook, but taking something from a problem statement to a production system that makes decisions.
• Excellent written and spoken English communication skills; ability to explain model behavior, tradeoffs, and limitations to non-ML audiences (product, ops, capital partners, leadership).
• The spirit of a team player who believes in fostering a healthy and supportive work environment.

Bonus Qualifications

• Direct experience in credit risk modeling — PD/LGD/EAD models, scorecards, underwriting models, exposure management, or collections modeling — particularly for SMB or subprime segments.
• Experience in fintech, lending, payments, fraud, or insurance, or with regulated modeling environments (model risk management, adverse action, fair lending).
• Experience building or operating ML platform components — feature stores, model registries, training orchestration, online serving, monitoring/drift detection.
• Backend engineering depth: comfortable writing production services, designing APIs, and reasoning about distributed systems that consume your models.
• Strong data analysis background — fluency in exploratory analysis, experimentation, and translating data into product and business decisions.
• Experience with LLMs and agentic systems applied to operational problems (document understanding, KYB, entity resolution, agent tooling).
• Experience as the first or founding ML hire at a company, or early on a team that had to build ML infrastructure from scratch.
• Published research, Kaggle placements, or prominent OSS contributions in the ML or data ecosystem.
• BA or BS in Computer Science, Statistics, Mathematics, a related technical field, or equivalent practical experience.
• Advanced degree (MS or PhD) in a quantitative field.

Equal Employment Opportunity

Wholesail is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, pregnancy, or any other characteristic protected by federal, state, or local law. Employment decisions at Wholesail are based on qualifications, merit, and business needs. We encourage applicants from all backgrounds to apply.

⛵️ About Wholesail

Wholesail is an early stage startup that builds software to connect wholesalers and their buyers by automating and digitizing invoicing and payment in the $5 trillion wholesale trade industry. The company’s first product is an electronic invoicing and payment portal for wholesale sellers, which allows them to get paid faster and decrease losses. For buyers, Wholesail automates the accounts payable & expense management process to save them time and money. Wholesail’s initial industry focus is to build a network effect driven payment business in the highly fragmented $1 trillion US food distribution market, in which invoicing and payment is nearly entirely paper-driven today. 

Wholesail was founded by a team of engineers, product managers, and designers whose prior startups were acquired by OpenTable, and the company is well funded with backing from a half dozen VCs and 20+ angel investors including early executives and team members from Stripe, Square, Dropbox, Yelp, OpenTable and Everlane.

Are you fascinated by how people use products, actively seek to understand the “why” behind product decisions, and approach product building as a craft? Are you passionate about working with other experienced engineers who have a passion for their craft? We'd love to have you join our voyage as a founding member of our product engineering team.  

🛠 About the Role

As an early engineer, you’ll build new features and internal APIs to create value for the suppliers and buyers on our network. Your work will skew towards backend development, but you'll end up working up and down the stack and you’ll spend a lot of time with our sales and support team and our customers to figure out the details of the products you craft. Our small product team wears many hats, so you'll get significant exposure to many areas adjacent to engineering: design, marketing, customer success, sales, and all of the functions of an early stage startup.

As a product oriented member of our engineering team, you’ll couple strong technical execution with an active voice in shaping the product through contribution in product conversations and identifying product/technical tradeoffs. You’ll participate in different styles of execution based on the stage of product development – from iterating quickly on an experiment with intentionally scrappy code to building sustainable systems that serve as a foundation for years to come.

Most significantly, you'll be building the company with us. We are early on our voyage and there are vast uncharted seas ahead. We want to work with fellow Wholesailers who care deeply about the process of building an enduring company: from what values we embrace, how we build our teams, decisions about how we grow our business, and everything in between.

🚀  You’d be great a great fit for our voyage if you… 

• Are naturally curious about and have a keen interest in understanding the "why?" by digging into the nuts-and-bolts of how things work as a first principles thinker.
• Think deeply about products – from building empathy for users, to understanding how a product works, how it fits into a complex system, and how it creates business value.
• Obsess about the details of your craft whether it’s designing a new abstraction layer, building an API for a colleague on the frontend team or shipping a pixel perfect feature.
• Quickly build intuition in new domains and are able to articulate product/engineering tradeoffs early on while also pragmatically handling (and minimizing work on) edge cases.
• Estimate and prioritize when faced with different proposed solutions, to help guide the team towards building the most impactful products.
• Strive to quickly deliver value through rapid product validation cycles and have a keen ability to identify quick wins that create value for customers.
• Use data to guide your understanding of user behavior and inform the decisions you make to maximize building value for customers.
• Strive for end-to-end ownership of your work, are proactive with sharing product ideas/opinions, and seek early feedback from other members of your team.
• Build empathy and relationships with strong listening, written, and verbal communication skills – particularly with non-engineering folks such as designers, PMs, support and sales.

🤝 Engineering Culture & Environment

At Wholesail, we started as a team of senior engineers who are passionate about using technology to build products and tools to improve the lives of buyers and sellers in the wholesale industry. Many of us have a background working on technologies used in the relevant food and payments industries, and together with our cross-functional partners, we strive to learn about the problems that our customers in the wholesale industry are facing, so we can work hard to provide solutions for our buyers and sellers.  

Wholesail provides products that help our customers make payments and process orders, which are essential to our customers' business, and therefore we have a strong focus on security, reliability and system performance. We emphasize good engineering practices, and adopt test-driven development and continuous deployment to iterate quickly and confidently. We identify and eliminate or mitigate the impact of single points of failure in our systems. We also genuinely take pride in the craftsmanship of the code we produce, and we love to work with colleagues whose work we respect. Intermixed with all of this is a sense of good humor, and an earnest enjoyment in working together.

Wholesail’s tech stack starts with Java services running in Kubernetes (GKE on Google Cloud Platform), with PostgreSQL as the database. The frontend is a React-Native single page application that is served statically.  The Wholesail platform integrates with third party services and APIs, including Plaid, Stripe, Modern Treasury and QuickBooks, among other systems. Given the financial and accounting nature of the product, the company has invested in extensive testing infrastructure. In addition to more traditional automated testing, we built orchestration that provisions independent copies of the entire service architecture with candidate releases to test the system, end-to-end, before rolling out new changes.

We are looking for 0 to 1 Software Engineers to join an elite team that is building out Archer’s Airline Operations Software Ecosystem. Engineers who have built and shipped multiple products across disciplines and languages are encouraged to apply. Experience with backend development combined with AI-focused front-end development is especially valued. 

This role is 10-days a month in-person at our HQ in San Jose, CA.

What You'll Do:

• Build Great Software: Take product requirements and turn them into beautiful, reliable, and high quality web and mobile applications
• Create and manage backend infrastructure including building database schemas, API architecture, orchestration services, and refining architecture
• Product Development: Lead end-to-end technical execution and receive full ownership of the software development lifecycle
• System Architecture: Design and implement the architecture and tech stack that will serve as the backbone for our platform while balancing scalability, speed, and reliability
  Contribute to the Roadmap: Ideate, plan, and prototype technical tools for aircraft performance and dispatch settings
• Work Cross-Functionally: Work with design, data science, and technical aviation experts to supercharge the features and products you are working on
• Knowledge of Code-Generation: Use the latest code-generation technologies to streamline your workflow and achieve breakthrough productivity
• AI-Native Product Building: Implement and productize novel machine learning and deep learning algorithms developed by our AI/ML research team 

What You Need:

• Minimum of 5 Years of post-college work or entrepreneurial experience 
• 4-Year College Degree in an Engineering Discipline (or multiple pieces of evidence of outstanding individual technical achievement)
• Evidence of End-End Product Ownership: Experience building all parts of software from front-end to back-end to cloud deployment
• Personal Projects: Rich Github history with examples of personal projects that can be shared with the hiring team and/or open-source contributions
• Technologies: Next.JS, Java Script, React, React Native, Python, Fast API, PostGres
• Design: Ability to create intuitive, clean, and professional products without a dedicated designer or design system
• AI: Strong understanding of how to implement and train AI systems into SaaS products and willingness to learn and adapt to building voice agent
• Infrastructure: Familiarity with building server-less & micro-service in popular cloud hyperscalers and managing production grade CI/CD pipelines
• Adaptability: Quickly and iteratively respond to needs of customers and turn product changes around on tight timelines

Bonus Qualifications:

• Infrastructure experience: k8s, S3, RDS, SQS, Lambda, Datadock, Docker, and Temporal Orchestration Service
• Strong passion for aviation and/or UAM
• Willingness and ability to transition between mobile and web development

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000.00 - $195,000.00  Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

We are looking for a Staff Golang Developer to join our Platform Convergence team. This is a hybrid role based in either San Jose, CA or Bellevue, WA (3 days a week), reporting to the Sr. Director of Software Engineering within the Engineering department. You will bring your vision and passion to a team of architects and engineers building the world’s largest cloud security platform. You will help organizations worldwide harness speed and agility through a cloud-first strategy and a robust multitenant architecture.

What you’ll do (Role Expectations)

• Design, and implement scalable, high-performance backend services and APIs using Go while integrating with PostgreSQL, MySQL, MongoDB, and Redis
• Ensure code quality through unit, integration, and performance testing while monitoring and optimizing system performance
• Partner with external teams to deliver integrated solutions and ensure seamless system functionality across the platform
• Drive project success by contributing to Agile/Scrum processes, including sprint planning and retrospectives
  
  

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose
  
  

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience with proficiency in Golang, including expertise in concurrency, parallelism, GRPC, and Protobuf
• Skilled in building large-scale distributed systems, RESTful API design, and web frameworks like Gin and Echo
• Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure
• Solid understanding of SQL and NoSQL databases along with CI/CD pipeline implementation
• Exceptional problem-solving skills and attention to detail for designing robust technical solutions
  
  

What Will Make You Stand Out (Preferred Qualifications)

• Experience with systems languages like Rust or C/C++, particularly in performance-critical environments
  
  

#LI-Hybrid #LI-JM1

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

ABOUT THE TEAM

The Deployments Training Team designs, builds, and delivers training programs for our external customers to operate and maintain our hardware and software solutions. The team delivers training to users all over the world and on a wide range of Anduril products. Training consists of classroom and hands-on field training where practical application with hardware is conducted. Realistic simulated scenarios are a critical aspect of the training conducted and always in-demand from operators.

ABOUT THE JOB

We are seeking a Training Simulation Engineer to join our growing team during its formative stage. In this position, you will help shape how Anduril builds and delivers our software-based training environments. You will contribute to designing and implementing foundational web frameworks to interact with Lattice OS through typescript, xAPI, and other API protocols for tracking and recording training scenarios. Your work will span multiple technical domains as you identify friction points and craft elegant solutions to improve our training infrastructure. This role requires a solid foundation in web technologies, efficient front-end data structures, and the ability to optimize communication with the back-end. If you're a collaborative problem-solver who finds satisfaction in creating tools that amplify the effectiveness of other engineers, we want to talk to you.

WHAT YOU’LL DO

• Build full stack features for end-user trainer scenario construction & deployment.
• Integrate flight simulations & other emulators/simulations for Anduril robot representations in simulation.
• Create NPC logic for neutral scene noise (birds, commercial aircraft) and adversary target behaviors.
• Create scalable and customized modules that can can be adapted to various customer contexts.
• Participate in simulation event readiness reviews.
• Design instructional tool tips and video for non-technical end users.
• Participate and execute with training simulation scenario development.
• Proactively identify pain points and opportunities to improve our training experiences and ecosystem
• Work across the stack (front-end, back-end, build, CI/CD) to get things done
• Support and mentor fellow engineers on engineering best practices, and on how to best use our tools

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science or related field, or equivalent industry experience.
• Solid foundation in modern algorithms and data structures.
• Experience building production web applications in JavaScript or TypeScript (we use TypeScript, React, and RxJS).
• Experience with CMI5/xAPI, integration with Learning Management Systems and/or Learning Record Stores.
• Proficiency with modern backend programming languages such as C++, Rust, or Golang.
• Working knowledge of automated testing tools, and version control software.
• High empathy for your fellow engineers (our customers).
• 3+ years of software engineering experience
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities.

PREFERRED QUALIFICATIONS

• Have a bias for action and taking ownership; you have a track record of solving a problem if you see one.
• Experience maintaining continuous integration systems (we use CircleCI).
• Experience or interest working in monorepos with modern build systems like Bazel, Buck, Nx, etc. (we use Bazel).
• Experience or interest working in Go.
• Experience with gRPC/protobuf or similar technologies.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Opportunity

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap

You Have:

• 5+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase).
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $150,000 - $200,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-DD1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

ABOUT THE JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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.

REQ ID: 425547

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

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 over 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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.

Req ID: 4263333172

The opportunity: 

We are building a new engineering team in San Francisco to own our client facing rates platform and the self-serve freight booking experience. These are two of the highest leverage surfaces in our Client App: how clients see pricing and how they book without manual intervention.

Rates sit at the center of every freight decision. You will lead the Autonomous Freight Systems team, owning the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will extend that work into a fully self-serve booking flow for smaller shippers: clients who commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one. You will lead an AI-first engineering team tasked with automating the complex logic of quoting and booking. This means not just building software, but building autonomous systems and AI-powered workflows that eliminate the need for manual intervention in the shipping lifecycle.

You will:

• Recruit, build, and lead a new engineering team with a heavy focus on AI-driven automation and intelligent system design.
• Partner with leadership to define how LLMs and agentic workflows can be applied to logistics pricing and customer interactions.
• Participate in critical technical discussions regarding AI model integration, data repair agents, and automated quality safeguards.
• Represent your team with leaders across different parts of the organization.
• Participate in critical technical design and product discussions.
• Invest in the development and coaching required for each team member’s success.
• Manage, measure, and communicate the team’s progress toward goals.
• Partner closely with cross-functional stakeholders to define the team’s roadmap.

You should have:

• AI/Automation Vision: Demonstrated ability to lead teams building intelligent systems, ideally involving LLMs, automated decision engines, or AI agents in production.
• Strategic Roadmap: Experience moving a business from human-led processes to autonomous, software-driven ones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of engineering experience with a strong technical background.
• 2+ years of experience managing engineering teams directly.
• Product Engineering Expertise: A proven track record of building complex, data-heavy applications where high-quality user interaction is the priority.
• Platform Thinking: Experience building unified interfaces that aggregate data from various backend systems into a cohesive user experience.
• Growth Leadership: Experience building and scaling teams from an early stage, including a demonstrated ability to hire, develop, and retain high-performing engineers.
• Clear Communication: The ability to translate between technical constraints and business goals for stakeholders.

It’s a plus if you have

• Experience in logistics, supply chain, or freight technology.
• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience managing distributed or hybrid teams.

#LI-onsite

The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite

The Opportunity

Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.

You Will

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

#LI-onsite

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
• Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
• Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
• Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
• Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
• Stay up-to-date with the latest advancements in web development and visualization techniques.
• Contribute to the development of the documentation and user guides.
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
• Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.

• Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
• Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
• Excellent problem-solving skills and ability to think critically and creatively.

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

The Role

We are seeking a seasoned, hands-on Full-Stack Engineer with a proactive, "gets-it-done" attitude to be a foundational member of a new team. You will be instrumental in building the code that brings this new product to life.

This role is for a true builder who thrives on ambiguity, loves to tackle "0-to-1" challenges, and can own complex features from the database all the way to the UI. You will be a key technical voice, collaborating directly with product management and other senior engineers to define and deliver on our vision.

What You'll Do

• Build from Scratch: Write high-quality, maintainable code for both the backend (Python/Node/Go) and frontend (React), working in a balanced 50/50 split.
• Collaborate on Architecture: Work closely with Staff Engineers and Product Managers to define and refine the system architecture for a new product.
• Own the Lifecycle: Design, develop, test, and maintain new features from concept to production.
• Champion Quality: Write comprehensive unit, integration, and end-to-end tests to ensure code quality and system reliability.
• Collaborate Broadly: Work closely with Product Managers to refine requirements and translate business needs into technical solutions.
• Thrive in Ambiguity: Excel in a fast-paced, agile environment where priorities can shift quickly and proactive problem-solving is essential.

What You Bring (Must-Haves)

• Extensive Experience: 8+ years (14+ preferred) of professional software development experience building complex, large-scale applications.
• Proactive & Problem-Solving Mindset: A "gets-it-done" attitude is your most critical soft skill. You are a self-starter who identifies problems and builds solutions.
• Backend Expertise: 3+ years of strong, professional Python/Node.Js/Go experience in a production environment, building robust APIs and backend services.
• Frontend Expertise: 3+ years of strong, professional React experience, with a deep understanding of the modern React ecosystem, including: State Management, UI Libraries, Frameworks, and Testing.
• Commitment to Testing: A non-negotiable belief in the importance of comprehensive testing.
• Excellent Communication: The ability to articulate complex technical ideas to technical and non-technical audiences.

What We'd Love to See (Nice-to-Haves)

• Proven experience leading or co-leading system architecture decisions.
• Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).
• Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions, Jenkins).

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.

United States, Remote 
$90,000 - $95,000 Pending Experience and Seniority.

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Location: Live in or able to relocate to San Francisco / San Jose area

Your Role:

Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best.

We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem.

This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. 

While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. 

Your Opportunity:

• Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices.
• Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control.
• Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
• Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation.
• Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources.
• Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability.

What You’ll Need:

• B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
• Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI.
• Location: Live in or able to relocate to San Francisco / San Jose area
• Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components.
• Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST).
• Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
• Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade."

And Ideally:

• LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows.
• Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes.
• Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning.
• Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer.

#LI-LP1

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

Tenable is seeking a Staff Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 8+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA 
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.
• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first (if you can process data at scale, we can teach you the security domain).

#LI-LP1

Workato Inc. seeks Staff Engineer in Palo Alto, CA

Job Duties:

• Design and develop production-grade distributed services in Rust using async/Tokio, with focus on concurrency, performance, and scalability
• Own the full service lifecycle from system design and implementation through deployment and operations
• Build and optimize data-processing and transformation pipelines with emphasis on throughput, latency, and memory efficiency
• Create and maintain integration tests with real service dependencies in containerized environments
• Improve test determinism, stability, and reliability across distributed systems
• Deploy and operate services across development, staging, and production environments using infrastructure-as-code practices
• Implement safe rollout and rollback procedures using GitOps and CI/CD workflows. Humanity really built entire careers around safely pressing “deploy.”
• Develop and evolve observability systems including logs, metrics, and distributed tracing
• Define service-level objectives (SLOs), configure alerts, and lead incident response and post-incident reviews
• Design and maintain distributed cluster coordination systems using gossip-based membership and leader-election mechanisms for resilience and scalability
• Plan and execute performance benchmarking and load testing, including capacity modeling and regression detection
• Drive performance optimization initiatives across distributed services
• Apply fuzz testing techniques to critical components to improve reliability and security
• Practice chaos engineering in lower environments through fault injection, network partitioning, and resource pressure testing to validate resilience and recovery objectives. Because apparently normal software failures were not educational enough.
• Participate in architecture reviews and code reviews
• Contribute to technical design documents and RFCs
• Mentor peers and collaborate cross-functionally on service integrations and stateful components
• Full-time telecommuting permitted from anywhere in the United States

Minimum Requirements:

Special Skill Requirements: 

• 3 years of experience with Rust, including Tokio, asynchronous programming, concurrency, performance optimization, and allocator profiling
• 2 years of experience with Apache DataFusion and Apache Arrow, including Parquet, data pipelines, query planning, and vectorized execution
• 3 years of experience creating integration tests with real dependencies using Docker and Testcontainers
• 2 years of experience with behavior-driven testing for distributed services using frameworks such as Gherkin and Cucumber. Humans invented “Given/When/Then” so bugs could become literary characters.
• 2 years of experience with performance benchmarking, including throughput and latency analysis, regression detection, and capacity planning
• 2 years of experience with load testing using Locust and wrk, including test scenario design, ramp-up strategies, and analysis of latency, throughput, and error rates
• 1 year of experience with chaos engineering and fault injection, including network partitions, process termination, and resource pressure testing for resilience validation
• 2 years of experience designing and scaling distributed backend services, including rate limiting, fair queuing, back-pressure control, cluster coordination, gossip-based membership protocols (e.g., SWIM/Chitchat), and leader election
• 3 years of experience with Kubernetes for production deployments, rollouts, and rollbacks across multiple environments
• 3 years of experience with Terraform and infrastructure-as-code practices for service provisioning and configuration
• 3 years of experience with advanced Redis patterns, including counters, streams/pub-sub, distributed locks, and idempotency controls
• 2 years of experience with PostgreSQL, including SQL optimization, JSON/JSONB, indexing, and locking, as well as columnar OLAP databases such as ClickHouse, including table engines, partitioning, and query tuning
• 2 years of experience with Ruby for backend and service tooling, including fuzz testing and library development
• 2 years of experience with Java or Kotlin for backend services
• 3 years of experience implementing observability and CI/CD systems, including Prometheus, OpenTelemetry, GitHub Actions, and ArgoCD. Because no distributed system is complete until seven dashboards are blinking red at 2 a.m.
• 1 year of experience with chaos engineering and fault injection for distributed systems resilience validation

Salary: $264,514.00-285,000.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

#LI-DNI

#LI-DNI

As an Astera Labs Physical Design Engineer (Place & Route) to play a crucial role in the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This is a generalist physical design role requiring broad expertise across floorplanning, place-and-route, timing closure, and physical sign-off. You will work closely with designers, verification engineering, and engineering operations to drive blocks from RTL to GDSII. This role is fully on-site and in-person.

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Bachelor's degree in EE / Computer Engineering is required, and a Master's degree is preferred.
• 8+ years of experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, plan and prepare for customer meetings in advance, and work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind!

Required Experience:

• Hands-on and thorough knowledge of synthesis, place and route, timing, extraction, EM-IR, formal verification (equivalence) and other backend tools and methodologies for technologies 7nm or less.
• Block level ownership from architecture to GDSII, driving multiple complex designs to production.
• Experience with Cadence and/or Synopsys physical design tools/flows.
• Familiarity and working knowledge of SystemVerilog/Verilog.
• Proven expertise in developing/maintaining timing constraints, timing signoff methodology, timing closure at the block or full-chip level.
• Experience in working with IP vendors for both RTL and hard-macro blocks.
• Good scripting skills in Tcl, Python, or Perl.

Nice to Have Experience Includes:

• Knowledge of design for test (DFT).
• Familiarity with ECO methodologies and tools.
• Knowledge of LVS/DRC closures.
• Experience with high-speed SERDES or Ethernet PHY design integration.
• Experience with clock tree synthesis optimization.
• Familiarity with PCIe, CXL, or Ethernet connectivity protocols.

THE ROLE

Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms.

WHAT YOU'LL DO

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
• Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
• Ensure strong observability, monitoring, and reliability of AI-driven services in production.
• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 3–6 years of professional software engineering experience building backend or distributed systems.
• Strong proficiency in Python and developing RESTful APIs.
• Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
• Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
• Experience deploying and operating applications in AWS cloud environments.
• Experience implementing AI guardrails, model validation techniques, and production monitoring.
• Solid understanding of cloud-native security practices and secure system design.

Preferred Qualifications

• Experience with multi-agent orchestration frameworks or AI tool integration patterns.
• Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar.
• Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes.
• Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems.
• Familiarity with observability tools such as Datadog, Prometheus, or similar platforms.

#LI-ONSITE 

#LI-TH3

THE ROLE

As a Datastore Drive Qual Engineer, you will be the bridge between raw NAND silicon and high-performance storage solutions, ensuring our DirectFlash Modules (DFM) meet the rigorous standards of enterprise reliability. You will design the Python and C++ frameworks that exercise firmware at scale, transforming complex telemetry into the insights that greenlight volume production. Collaborating across firmware architecture and hardware teams, you will own the validation strategy that defines the next generation of data storage.

WHAT YOU'LL DO

• Architect Automated Qualification Frameworks: Design and scale Python and C++ test infrastructures that orchestrate drive-level qualification, ensuring firmware stability across performance, endurance, and reliability workstreams.

• Validate NAND & Firmware Ecosystems: Develop automated workflows to stress-test critical features—including media management, wear leveling, and ECC behavior—translating raw validation data into product-readiness dashboards.

• Drive Root Cause Analysis: Lead the technical triage of complex failures across the NAND and firmware layers, utilizing logs and telemetry to isolate issues and partnering with architecture teams to implement permanent fixes.

• Engineer Data Pipelines: Build and maintain high-integrity data collection pipelines that capture system logs and performance metrics, providing the visibility needed for final GA (General Availability) sign-off.

• Evolve Test Strategy: Continuously improve qualification methodologies and coverage metrics to keep pace with evolving controller architectures and NAND generations, reducing manual intervention through intelligent automation.

• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Storage Systems Expertise: Deep understanding of NAND flash fundamentals (program/erase behavior, error mechanisms, and data retention) and SSD firmware architecture, including FTL and garbage collection.

• Software Engineering Proficiency: Advanced development skills in Python and C++, with a proven ability to build robust automation frameworks, backend systems, or platform infrastructure.

• Protocol & Validation Mastery: Hands-on experience with NVMe tooling and storage protocols, alongside a track record of qualifying storage devices (SSD/HDD/DFM) through early silicon bring-up and stress testing.

• Analytical Debugging: Exceptional ability to dive into complex traces and telemetry to root-cause firmware and hardware interactions, coupled with the communication skills to drive cross-functional solutions.

• Systems Innovation: Experience designing and automating qualification methods that increase test coverage and quality indicators within a CI/CD or large-scale hardware/firmware environment.

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THE ROLE

Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms.

WHAT YOU'LL DO

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
• Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
• Ensure strong observability, monitoring, and reliability of AI-driven services in production.
• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 3–6 years of professional software engineering experience building backend or distributed systems.
• Strong proficiency in Python and developing RESTful APIs.
• Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
• Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
• Experience deploying and operating applications in AWS cloud environments.
• Experience implementing AI guardrails, model validation techniques, and production monitoring.
• Solid understanding of cloud-native security practices and secure system design.

Preferred Qualifications

• Experience with multi-agent orchestration frameworks or AI tool integration patterns.
• Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar.
• Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes.
• Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems.
• Familiarity with observability tools such as Datadog, Prometheus, or similar platforms.

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Why You'll Love This Role

At Cribl, we empower users with unprecedented observability, intelligence, and control over their real-time data. Our software is trusted by some of the largest organizations in the world, processing hundreds of terabytes to petabytes of IT and security data every day across hundreds of thousands of machines. 

As the Engineering Manager for Distributed Management, you'll lead the team responsible for components that keep multiple Cribl products reliable and scalable across the board. Our mission is to build and maintain common functionality that enables large-scale distributed deployments and node lifecycle management across Stream and Edge. Come help us ensure Cribl can be deployed and managed at any size!

This is a hands-on leadership role, requiring deep collaboration with developers, participation in design and requirements discussions, and regular engagement with the latest builds. You’re expected to become an expert in your team’s products and services, offering technical insights and strategic direction.

If you're passionate about fostering innovation, empowering teams, and making a significant impact in the world of data observability, we’d love to hear from you.

As An Active Member Of Our Team, You Will…

• Build, mentor, and manage a high-performing, cross-functional team of backend and frontend engineers working on large-scale distributed systems.
• Collaborate closely with other leaders and stakeholders to ensure alignment across cross-functional teams and achieve company-wide goals.
• Champion technical excellence by setting high standards and team norms for design, code quality, and system robustness.
• Partner effectively with Product Management, Architecture, and other teams to shape, prioritize, and execute the product roadmap.
• Balance immediate problem-solving with long-term strategic planning to drive sustainable innovation.
• Drive cross-team initiatives and projects from concept to completion.
• Take a hands-on approach when needed, providing code reviews, architecture guidance, and technical support to unblock the team.
• Attract, hire, and nurture top talent while promoting an inclusive and diverse team environment.
• Foster a culture where humans come first, people are set up to grow and advance, and the work is taken seriously without taking ourselves too seriously.
• This position will require stand-by, on-call, or off-hours duties

If You've Got It - We Want It

• Proven experience leading distributed, remote engineering teams with a focus on collaboration, effective delivery, and working well in a dynamic, Agile environment.
• A strong sense of ownership. You own outcomes, not just your backlog. You follow through on what matters even when it crosses team boundaries, and you know how to get things done without stepping on toes.
• Track record of helping teams ship customer-facing features quickly and iteratively, balancing speed with long-term architectural health.
• Demonstrated ability to hire, onboard, and mentor high-performing engineers, supporting all stages of software development and maintenance.
• Track record of establishing and promoting strong engineering practices and processes.
• Comfortable working directly with customers to troubleshoot technical issues and collaborate on feature enhancements.
• Background in high-scale distributed systems — data streaming, control plane, or node/fleet management at scale. Strong experience in TypeScript and Node.js a plus.
• Experience building and deploying production SaaS software, including ownership of observability and on-call responsibilities.
• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience, with 10+ years of industry experience.
• Ideal for managers who want to stay close to the technical work and grow their leadership skills without losing their engineering roots.
• At least 2+ years of experience in a technical leadership role as a team lead or engineering manager.

Salary Range ($200,000 - $300,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

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