The Role

We are looking for a seasoned, high-impact Senior Backend Developer to join our team as a core technical driver. This isn't just a role for someone who can write code; it’s for a true architect and builder who thrives on the "0-to-1" journey. You will be instrumental in designing the backbone of a new product, turning ambitious visions into scalable, production-ready reality.

As a senior member of the team, you will navigate ambiguity with ease, owning the backend lifecycle from data modeling to cloud deployment. You’ll be a key technical voice, collaborating directly with product stakeholders to ensure our infrastructure is as robust as our ambitions.

What You'll Do

• Build the Foundation: Architect and write high-quality, maintainable backend code primarily in Python, ensuring our systems are built for scale from day one.

• Design & Deliver APIs: Own the design and implementation of RESTful APIs, focusing on elegant data modeling and secure authentication.

• Architect for the Future: Leverage serverless and event-driven architectures to build responsive, modern systems.

• Own the Infrastructure: Work hands-on with Terraform/CloudFormation to treat infrastructure as code, ensuring seamless deployments across cloud platforms.

• Champion DevOps Culture: Manage containerization (Docker/Kubernetes) and CI/CD pipelines to ensure a smooth, automated path to production.

• Solve Complex Problems: Act as a proactive troubleshooter, identifying bottlenecks and optimizing system performance across SQL and NoSQL databases.

What You Bring (Must-Haves)

• Seasoned Expertise: 5+ years of professional backend focus, with a deep mastery of the Python ecosystem (Django, Flask, or FastAPI).

• Architectural Fluency: A strong understanding of how to build for the cloud (AWS, GCP, or Azure) using event-driven and serverless patterns.

• Database Mastery: Proficiency in both relational (PostgreSQL) and non-relational (MongoDB) data stores.

• Modern Workflow Mindset: You are at home with Git, Docker, and Kubernetes, and you view CI/CD as a prerequisite, not an afterthought.

• Proactive Ownership: A "gets-it-done" attitude. You don’t wait for a ticket; you identify what needs to be built and you lead the way.

• Clear Communication: The ability to explain complex backend logic to non-technical partners and collaborate fluently in English.

What We’d Love to See (Nice-to-Haves)

• Cloud-Native Specialist: Hands-on experience specifically building and deploying within the AWS ecosystem.

• Polyglot Leanings: Proficiency in JavaScript (Node.js) to help bridge gaps across the stack.

• Community Presence: Contributions to open-source projects, technical blogs, or active participation in developer communities.

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting. .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

LOCATION: Austin, Texas (Hybrid) 3 days per week

At Natera, we revolutionize medicine by developing genetic products that combine cutting-edge technology and science. Our mission is to accelerate breakthroughs in research and improve patient care.

We are seeking a high-efficiency, adaptable, Java-centric AI Full-Cycle Engineer. The ideal candidate will have experience developing medium-to-high complexity products and providing critical production support. 

PRIMARY RESPONSIBILITIES:

• Perform system analysis, assess risks, develop technical design and implementation strategies, deliver high quality software. 

• Have a holistic view of processes and systems involved in taking patient samples from order to result in a multi-product clinical laboratory.

• Debug and perform root cause analysis for product defects and issues, as well as production support, while improving system observability and monitoring to prevent future regressions.

• Create and maintain comprehensive software documentation (software specification, test protocols and results, etc).

• Collaborate with the team on solutioning, knowledge share and efficient delivery.

• Drive adaptiablity via AI and leverage agentic AI to build adapters that power automation.

• This role regularly involves Protected Health Information (PHI). You must complete all required HIPAA/PHI privacy and security training within the first 30 days of hire and maintain current status on all Natera training requirements.

QUALIFICATIONS:

• Minimum of 10 years of experience in both server-side (back-end) and front-end development for complex n-tier systems, with at least 4 years focused on complex systems and integrations.

• Back-end: Minimum of 5 years of recent, hands-on experience with Java, preferably using open-source frameworks such as Spring.

• Front-end: Recent hands on experience with front-end development.

• APIs: Recent hands-on experience working with and developing REST APIs.

• Database: Extensive working knowledge of relational databases, experience using frameworks like Hibernate/JPA.

• Quality: Recent hands on experience with test design and automation.

• The "AI Glue": Experience using AI tools (e.g. Claude Code) not just for boilerplate, but for accelerating the mapping of complex data structures between systems.

• Adaptability: Proven track record of pivoting between tech stacks based on business needs (e.g., bridging modern AI agents with legacy JSP/Java architectures).

• BS degree in Computer Science or equivalent work experience.

KNOWLEDGE, SKILLS, AND ABILITIES:

• A solution- and continuous-improvement-oriented mindset with proactivity in troubleshooting.

• Strong communication skills.

• Willingness and ability to rapidly learn new practices, languages, and subject matter.

• Excellent understanding of core software engineering principles: Object-Oriented Programming (OOP), SOLID, etc.

• Experience with containers (e.g., Docker, Kubernetes).

• Experience working with various AI tools (e.g. Claude Code)

• Experience with distributed version control systems (e.g., Gitlab) and familiarity with branching strategies.

• Experience with message brokers/queues (e.g., Apache Kafka, AWS SQS) is a plus.

• Experience with JSP and JavaScript is preferred.

• Familiarity with software life cycle management tools (e.g., Jira).

• Ability to work effectively with people across multiple time zones.

• Experience developing software in a regulated environment is a plus.

#LI-DNI

Team Description: 

The Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants.

Tech Stack:

• Rust, Python
• Terraform
• Bazel and Nix
• Kubernetes
• GitLab CI
• AWS
• Ubuntu, Fedora

Focus:

• Developing the foundations for teams to build the software and systems required for record-breaking BCI experiences.
• Enhancing developer experience with robust tooling and build-system infrastructure.
• Building foundational infrastructure for HITL (hardware in the loop) testing across firmware, BCI, and robot teams.
• Ground-up infrastructure of on-premise solutions as well as cloud architecture.
• Foundational software engineering with a focus on serving internal software teams.

Qualifications: 

• Experience using IAC tools such as Terraform, Docker, Packer, Ansible, Cloud-Init, Kickstart.
• Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
• Working knowledge of major cryptographic protocols and authentication schemes such as TLS, x509, 802.1x, U2F, SAML.
• Familiarity with modern Linux boot process, UEFI, TPM measured boot, Secure Boot, Systemd.
• Systems administration experience on Windows, macOS, and Linux.
• In-depth understanding of modern networking and common protocols.
• Ability to architect, build, and ship 0 to 1 infrastructure quickly and efficiently.

Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

Join Our Team

GoDaddy is seeking a highly skilled and motivated Site Reliability Engineer (SRE)  to join our dynamic team. This role will focus on automating and maintaining our storage infrastructure with a focus on Ceph, ensuring the reliability, scalability, and performance of our systems.

What you'll get to do...

• Automate and maintain day-to-day operations of storage systems to support application demands
• Develop and maintain tools and automation scripts to streamline storage operations and improve efficiency
• Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability
• Participate in agile concepts such as daily stand-up meetings, task tracking boards, design and code reviews, automated testing, continuous integration, and deployment
• Continuously improve system reliability, performance, and capacity through proactive monitoring, automation, and optimization

Your experience should include...

• 2+ years of professional experience with Ceph, working in a production environment
• 2+ years of experience in site reliability engineering or a similar role
• 2+ years of professional experience with Ceph, including deployment, configuration, and management of Ceph clusters and systems
• Experience working on Linux/Unix systems, with a focus on automation and operating at scale
• Proficiency in Python or Bash
• Experience with Ansible, Terraform, or SaltStack
• Experience with Nagios-based monitoring tools, such as Icinga2
• Experience with observability tooling, such as Prometheus, Grafana, Mimir, and Loki
• Solid understanding of core networking concepts and protocols, particularly in relation to Linux/Unix systems

You might also have...

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Exposure to and experience working with compute platforms (e.g., OpenStack, AWS)
• Familiarity with ability to contribute to CI/CD pipelines and automation workflows

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.  

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

Join our team

We are looking for engineers to join the Global Storage Engineering team with a strong focus on Ceph. In this role, you would be engineering and deploying the latest storage technologies to enable object, block, and file workloads for our internal applications and private cloud. If you have strong dev/ops skills, love to solve complex and challenging problems, and want to participate in some of the most exciting open-source projects, we want to hear from you!

What you'll get to do...

• Architect and build Ceph clusters from the ground up, creating robust and scalable storage solutions that meet our organizational needs.
• Help GoDaddy engineer, deploy, and maintain the next generation of Ceph storage technologies.
• Play a key role in managing a large-scale Linux environment, ensuring seamless operations and optimal performance across our extensive infrastructure.
• Work closely with internal teams on cross-functional projects to ensure that their assets are delivered quickly and with the highest quality.
• Scope and model various workloads to deliver custom solutions based on GoDaddy product offering needs.

Your experience should include...

• 4+ years of professional Ceph experience, architecting and building Ceph clusters from the ground up
• 4+ years of Ceph storage deployment, configuration, performance tuning, monitoring, troubleshooting, integration, upgrades, and maintenance.
• Experience working with Ceph Reef, showcasing proficiency in implementing and optimizing this version for enhanced storage performance and reliability.
• 3+ years of experience in Python scripting and automation. 
• 4+ years of professional experience, efficiently managing large-scale Linux server environments.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their storage services.

You may also have…

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent experience.
• Experience with other distributed storage systems (e.g., GlusterFS, HDFS).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.  

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year.

WHAT YOU'LL WORK ON

We're hiring a Senior Application Security Engineer to join a small, high-leverage AppSec team. This is a deep-technical IC role with a staff-leaning scope: you'll set the technical direction and own delivery on how we find, fix, and prevent vulnerabilities across Qualia's products and cloud infrastructure, and you'll be the person other engineers want in the room when an architecture decision has a security dimension.

You'll partner daily with product engineering, infrastructure, and platform teams, and you'll work closely alongside our existing AppSec engineers - raising the technical bar of the team while staying deeply hands-on with code, tooling, and adversarial testing. This is the right role for someone who is as comfortable writing a Burp extension or a Semgrep rule as they are pairing with a product engineer to land a fix.

RESPONSIBILITIES

• Run offensive assessments against Qualia's applications and infrastructure: manual penetration testing, exploit development, authenticated web/API testing, and adversarial review of new designs before they ship
• Lead threat modeling and secure design review for the highest-risk initiatives across the company, and mentor engineers to do the same for their own work
• Own and evolve our AppSec tooling stack end-to-end - SAST, DAST, SCA, secret scanning, IaC scanning, and the CI/CD gates that tie them together. Build the custom rules, detections, and automation that generic tooling doesn't give us
• Harden our cloud posture: review AWS configurations, IAM policies, Kubernetes/EKS workloads, and networking boundaries; build automation and guardrails that prevent the same class of issue from recurring
• Reduce toil for the team - write the tools, scripts, and integrations that turn a day of triage into a few minutes
• Partner with Infrastructure and Platform on detection engineering, incident response support, and cross-cutting programs (secrets management, supply chain, runtime security)
• Set the technical bar for the AppSec team: raise the quality of reviews, establish patterns others can reuse, and mentor peers across seniority levels
• Represent AppSec in architectural reviews, vendor evaluations, and compliance efforts

YOUR BACKGROUND THAT LIKELY MAKES YOU A MATCH

• 8+ years of hands-on experience in application security, offensive security, or security engineering, with demonstrable depth in at least two of: offensive testing, security tooling/automation, and cloud/infra security
• Strong offensive skills - you can manually exploit real web and API vulnerabilities beyond what a scanner will find, and you can teach others to do the same
• Deep familiarity with building and operating security tooling in a modern engineering org: SAST/DAST/SCA pipelines, custom detection rules, secrets scanning, and CI/CD security gates. You've written tooling, not just configured it
• Production experience with AWS (IAM, VPC, networking, data services), containerized workloads (Docker, Kubernetes/EKS), and infrastructure-as-code (Terraform or similar)
• Comfort reading, reviewing, and contributing code in at least one language common to modern web stacks (Python, Go, Ruby, TypeScript, or similar)
• Clear, direct communication style. You can make a sharp technical argument to senior engineers, translate risk into business terms for leadership, and write a bug report an engineer actually wants to fix
• Strong partnership instincts - you get leverage by making other teams faster, not by blocking them

NICE TO HAVE

• Experience in fintech, proptech, healthcare, or another regulated industry where data sensitivity is high
• Background meaningfully contributing to a bug bounty program
• Experience with identity and access systems (OIDC, SAML, federation, fine-grained authorization)
• Detection engineering, DFIR, or red-team experience
• Open source contributions to security tooling, published research, or CVE credits
• Relevant certifications (OSCP, OSWE, GWAPT, GPEN, etc.) - valued but not required

While this role is remote work eligible, we have three office locations: San Francisco, California; Concord, New Hampshire; and Austin, Texas.

This role has a base annual salary of $180,000-$210,000  plus a competitive equity and benefits package. (Salary to be determined by relevant experience, location, knowledge, and skills of the applicant, internal equity, and alignment with market data.)

WHY QUALIA

Qualia is made up of incredibly bright, mission-driven coworkers who are passionate about using technology to solve real-world problems---and we're growing quickly. In order to continue building an engaging and dynamic organization, we're committed to giving everyone the support they need to do great work.

Our benefits package is designed to allow our team members to be their best selves, both in and out of the workplace. In addition to comprehensive health plans, a 401k program, and commuter benefits, we prioritize family and personal well-being through professional development, parental leave, and a flexible time off policy. Qualia offers a robust online onboarding program to train new hires, biweekly all hands meetings, and a variety of internal virtual events to keep employees connected.

We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected. Qualia is proud to be an equal-opportunity workplace, and we welcome applicants from all backgrounds regardless of race, color, ancestry, religion, gender identity or expression, sexual orientation, marital status, age, citizenship, socioeconomic status, disability, or veteran status.

By submitting your application, you acknowledge and agree to the collection, processing, and use of your personal information as described in our Employee Data Privacy Notice.

#LI-Remote

We are seeking a Senior Software Engineer - Cloud Platform to join our growing infrastructure organization. This is a high-impact, greenfield opportunity to help build and shape our Cloud Platform team from the ground up. You will be a founding technical contributor responsible for defining standards, scaling platform capabilities, and improving the developer experience for every engineer across the company.

You will take ownership of critical cloud initiatives—including governance, automated remediation, and internal developer tooling—with a direct mandate to influence how we manage our AWS footprint at scale. This role requires a RealOwnership mindset as you define standards and stabilize platform capabilities to support every engineer across the company. You will play a pivotal role in scaling our infrastructure to be secure and cost-effective, assuming full technical ownership of the platform from outgoing contractors by the end of Q2.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. This role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy, allowing you to focus on high-impact architectural challenges.

What you’ll do:

Cloud Governance & RealOwnership

• Implement and maintain robust cloud governance using IaC (Terraform, CloudFormation, or CDK) to create reusable modules and templates.
• Take ownership of Cloud Custodian policies and AWS SCPs to enforce security, tagging, resource lifecycles, and compliance.
• Ensure infrastructure provisioning and operational activities align with established governance guidelines and internal controls.
• Build automated remediation and reporting for governance and cost issues to ensure a secure, compliant environment.

Platform Innovation & "Paved Paths"

• Run and extend Backstage (Internal Developer Portal) by adding/maintaining plugins and service catalogs to improve developer self-service.
• Integrate IaC and policy checks into deployment pipelines to create "paved paths" that allow engineers to move faster without sacrificing security.
• Collaborate across Engineering, Security, and Finance to influence cloud standards and operational efficiency at scale.

FinOps & Cost Optimization

• Drive cost optimization initiatives (rightsizing, reserved instances, spot instances) and automate cost controls and alerts.
• Support cost-conscious architecture decisions with measurable ROI on cloud spend.

What you’ll bring: 

Experience & Expertise

• 5+ years in DevOps, Platform, or Infrastructure Engineering with a track record of building scalable cloud governance systems.
• 3+ years of hands-on experience with AWS (EKS, EC2, RDS, IAM) and production-grade Kubernetes cluster management.
• Proficient programming skills in Python, Go, or Java for building platform automation and internal tooling.
• Deep expertise in Infrastructure as Code (Terraform preferred) and modern CI/CD/GitOps workflows (Argo CD, CircleCI, or Jenkins).
• Preferred: Direct experience with Cloud Custodian, Backstage, and FinOps principles.

Technical Skills

• Cloud & Infrastructure: AWS (EKS, Fargate, Lambda, VPC, IAM), Kubernetes, Docker, Istio Service Mesh.
• Governance & Tooling: Cloud Custodian, AWS SCPs, Backstage, AWS Secrets Manager.
• IaC & Automation: Terraform, CDK, CloudFormation, Helm, Python/Go.
• Observability: NewRelic, Datadog, or Prometheus/Grafana.
• Incident Management: OpsGenie or PagerDuty.

Professional Qualities

• Strong communication skills with ability to explain technical concepts to diverse audiences
• Collaborative approach working across engineering, product, and business teams
• Self-motivated with ability to solve complex problems within established practices and policies
• Data-driven decision making with customer-centric approach and empathy for developer experience

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify 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.

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You’ll Do:

Strategic Relationship Management

• Own the technical relationship with DigitalOcean’s highest-value customers, including Fortune 500 companies and global technology leaders.
• Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
• Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer’s roadmap to maximize the value of DigitalOcean infrastructure.
• Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

• Engage with C-level and VP-level contacts with confidence, clarity, and authority.
• Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
• Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
• Assist customers with architectural planning, workload migration, performance tuning, and incident response.
• Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

• Own technical success across a portfolio of DigitalOcean’s largest and most strategic accounts.
• Identify opportunities for workload expansion, cost optimization, and operational efficiency.
• Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
  Lead cross-functional account planning with Account Management, Product, and Engineering.

What You’ll Add to DigitalOcean:

Enterprise Customer Experience

• 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
• Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
• Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

• Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
• Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
  Programming/scripting in Python, Go, or similar—especially relevant to AI/ML and MLOps use cases.
• Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
• Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
• Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

• Proven ability to engage with and influence executive decision-makers.
• Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
• Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.

Bonus Points

• Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
• Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
• Background in startup or high-growth environments where agility and influence matter.
• Familiarity with DigitalOcean’s developer ecosystem, API, and service portfolio.

Compensation Range: 

•  $174,240 - $217,800

*This is a remote role

#LI-Remote

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We want people who are passionate about building features that developers and businesses love!

DigitalOcean’s Storage Team is a remote team that builds and operates cloud-scale distributed storage powering internal and customer-facing services and products. We’re creating flexible and powerful solutions that our customers will leverage to ship their software as quickly, easily, and safely as possible.

The Object Storage Team supports the operations and development of business logic, middleware, edge, and API solutions of our S3-compatible object store, Spaces. We are looking for an engineer who will help lead the development and support of current and future storage platforms at scale.

The selected candidate will have the opportunity to make impactful contributions to the Spaces service ecosystem, contribute to the open source community, and debug interesting problems at cloudscale. This role reports to the Engineering Manager of the Object Storage team and is currently only available remotely. 

What You’ll Be Doing:

• Leading engineering efforts to deliver innovative storage solutions
• Supporting the creation and operations of distributed systems
• Programming in Go and other languages
• Collaborating with a motivated team of peers
• Consuming from and contributing to free/open source software communities
• Solving interesting problems in a technically rewarding environment

What You’ll Add to DigitalOcean:

• Design, develop, test, and deploy software in modern tools and languages, such as Go, while continually cultivating your skills and collaborating with an agile, self-motivated team.
• Experience automating, operating, and troubleshooting production systems; maintaining the availability and performance of storage products
• Experience with Linux operating systems and familiarity with storage fundamentals
• Experience with containerization (e.g. Docker, Kubernetes) and service-oriented architectures
• Familiarity with concurrency / parallelism models in a modern programming languages
• Any relevant domain experience such as Ceph, S3, block storage, containerization, software routing and load balancing
• Experience leading discussions on architectures, implementations, design patterns, and processes with the ability to succinctly convey ideas to peers and mentees

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7567

#LI-Remote

We want people who are passionate about building features that developers and businesses love! DigitalOcean’s Storage Team is a remote team that builds and operates cloud-scale distributed storage powering internal and customer-facing services and products. We’re creating flexible and powerful solutions that our customers will leverage to ship their software as quickly, easily, and safely as possible.

The Object Storage Team supports the operations and development of business logic, middleware, edge, and API solutions of our S3-compatible object store, Spaces. We are looking for an engineer who will help lead the development and support of current and future storage platforms at scale.

The selected candidate will have the opportunity to make impactful contributions to the Spaces service ecosystem, contribute to the open source community, and debug interesting problems at cloudscale. This role reports to the Engineering Manager of the Object Storage team and is currently only available remotely. 

What You’ll Be Doing:

• Leading engineering efforts to deliver innovative storage solutions
• Supporting the creation and operations of distributed systems
• Programming in Go and other languages
• Collaborating with a motivated team of peers
• Consuming from and contributing to free/open source software communities
• Solving interesting problems in a technically rewarding environment

What You’ll Add to DigitalOcean:

• Design, develop, test, and deploy software in modern tools and languages, such as Go, while continually cultivating your skills and collaborating with an agile, self-motivated team.
• Experience automating, operating, and troubleshooting production systems; maintaining the availability and performance of storage products
• Experience with Linux operating systems and familiarity with storage fundamentals
• Experience with containerization (e.g. Docker, Kubernetes) and service-oriented architectures
• Familiarity with concurrency / parallelism models in a modern programming languages
• Any relevant domain experience such as Ceph, S3, block storage, containerization, software routing and load balancing
• Experience leading discussions on architectures, implementations, design patterns, and processes with the ability to succinctly convey ideas to peers and mentees

Compensation Range: 

• $167,000 - $209,000

*This is a remote role

JR: 2026-7465

#LI-Remote

We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud.

Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success.

This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization.

As a Senior Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure.

What You Will Be Doing:

• Technical Consultation & Architecture Design:
• Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem.
• Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders.
• Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments.
• Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework.
• Proactive Customer Engagement & Growth:
• Manage and maintain DigitalOcean’s key accounts 
• Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads.
• Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth.
• Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments.
• Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals.
• Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption.
• Advocacy & Cross-Functional Collaboration:
• Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes.
• Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences.
• Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers.
• Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer.
• Tooling & Efficiency:
• Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions.
• Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies.

What We’ll Expect From You:

• Technical Expertise:
• Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation.
• Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go).
• Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker.
• Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure).
• Proven track record of successfully troubleshooting technical problems. 
• Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles.
• Customer-Centric Approach:
• Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals.
• Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations.
• Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth.
• Experience advocating for customer needs and translating feedback into actionable insights.
• Communication Skills:
• Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences.
• Ability to create and deliver technical presentations and training sessions that resonate with customer needs.
• Adaptability & Initiative:
• Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems.
• Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions.
• Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments.

Extra Credit:

• Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML.
• Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL).
• Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
• Linux certifications (e.g., RHCSA/RHCE) 
• Experience working with large CRMs like Gainsight and Salesforce

Compensation Range: 

• $142,000 - 176,000

*This is a remote role

JR: 4290

#LI-Remote

JOB SUMMARY

We are seeking a Staff Test Engineer – Actuation to own the design validation and NPI test process for Apptronik's custom actuator systems. This is a hands-on, multi-disciplinary role spanning mechanical, electrical, firmware, and software testing — requiring someone who can independently drive actuator characterization and validation from initial bringup through design verification, and build the test methods and automation that transfer to test ops as programs move into production.

You will design and execute actuator test campaigns, develop robust bringup and calibration workflows, diagnose hardware issues across the full electromechanical stack, and deliver validated, well-documented test processes that are ready for handoff. You will work closely with mechanical, electrical, firmware, and controls engineers — connecting test data to root-cause analysis and hardware design improvements.

KEY RESPONSIBILITIES

• Actuator Bringup & Calibration: Lead the bringup process for new actuator hardware — including firmware deployment, motor and encoder calibration, and functional verification. Develop documented, repeatable procedures that can be transferred to test ops for production use.
• Design Validation Testing: Plan and execute design validation campaigns to characterize actuator performance across the operating envelope. Tests span mechanical (e.g., efficiency, stiffness, backlash, life), electrical (e.g., peak current, thermal limits, drive performance), and system-level (e.g., positional accuracy, off-axis loading, effort production) domains.
• Test Method Development for Production: Design and validate the production test methods used during NPI — including test scripts, post-processing, pass/fail criteria, and operator documentation — then hand off to the test ops team with the tooling and training needed to run them at scale.
• Test Automation & Data Infrastructure: Build Python-based test automation, data pipelines, and analysis tools that enable repeatable, scalable validation across multiple actuator types and hardware revisions.
• Test Equipment Operation: Operate and configure dynamometer, benchtop, and custom test setups. Manage fixture configurations and load motor modes across different actuator and gearbox variants.
• Cross-Stack Root-Cause Analysis: Diagnose actuator performance issues spanning firmware, electrical, and mechanical domains using structured, data-driven reasoning. Provide clear, actionable feedback to design teams.
• System Identification: Apply system identification techniques to characterize actuator dynamics — including inertia, friction, bandwidth, and torque constant — providing data that supports both hardware validation and simulation fidelity.
• Collaboration & Reporting: Work closely with mechanical, electrical, firmware, and controls engineers. Communicate test results, failure modes, and recommendations clearly to engineering and program leadership.

SKILLS AND REQUIREMENTS

Required Qualifications

• Direct hands-on experience testing and characterizing actuators, motors, or gearboxes — including operation of dynamometer or motor test stand systems.
• Experience with motor bringup and calibration workflows, with enough firmware and electrical fluency to diagnose calibration and drive faults independently.
• Strong cross-disciplinary debugging ability across mechanical, electrical, and firmware domains.
• Proficiency writing production-grade Python for test automation, data analysis, and post-processing.
• Demonstrated experience designing test methods and procedures — including pass/fail criteria and handoff documentation — not just executing pre-written scripts.
• Ability to read and interpret electrical schematics, mechanical drawings, and motor datasheets.
• Experience working in multi-disciplinary hardware teams with fast iteration cycles.
• Comfortable operating at staff level: leading technical workstreams, influencing engineering decisions with data, and mentoring others.

Preferred Qualifications

• Experience with humanoid or legged robot actuator systems.
• Familiarity with thermal modeling and thermal test methods for electric motor systems.
• Knowledge of motor drive electronics, power electronics, and power stage design margins.
• System identification background: frequency-domain analysis, bandwidth measurement, and dynamic model extraction.
• Experience transitioning test methods from R&D into production or manufacturing environments.
• Simulation experience (MuJoCo, Isaac Sim/Lab, etc.) and sim-to-real validation workflows.
• Docker, scripting, or infrastructure tooling for test automation at scale.

EDUCATION AND/OR EXPERIENCE

• BS in Mechanical Engineering, Electrical Engineering, Robotics, Computer Science, or related field + 6 years of relevant experience, OR
• MS in related field + 4 years of relevant experience, OR
• PhD in related field + 2 years of relevant experience.

Candidates with non-traditional backgrounds who can demonstrate equivalent hands-on experience with actuator testing and robotic hardware bringup are strongly encouraged to apply.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift 15 pounds at times.
• Vision to read printed materials and a computer screen.
• Hearing and speech to communicate.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

The UP – Analytics Front Office team is looking for a Senior Software Engineer who relishes working in challenging time-critical environments solving complex problems alongside highly capable peers.  Our team operates services providing real-time PnL and Risk monitoring services for a diverse group of trading desks each with varying degrees of portfolio and model complexity.   

While previous experience in the trading and finance industry is beneficial, we’re looking for talented software engineers with or without industry-specific expertise. 

UP – Analytics Front Office primarily operates C# services heavily utilizing RX for LINQ-style composition and asynchronous dispatch. We often reach for Python to build smaller services and frequently interact with analytics libraries in C++.  

Responsibilities 

• Design, implement and operate low latency risk analytics systems as part of a highly capable team.
• Decompose complex functional requirements into coherent service designs that are efficient, simple to operate, and can be changed reliably.
• Providing on-call support as part of our teamwide rotation.  We split on-call across the US and UK time zones to limit off-hours disruptions.
• Be a capable mentor who is eager to contribute their unique knowledge and perspective to advance the team’s capabilities.   

Required qualifications 

• Extensive experience designing & operating low latency distributed systems at scale for critical business functions.
• Extensive experience in testing & test automation
• Fluency in functional and object-oriented programming languages.
• Competency in using Git, CI/CD platforms, Docker and Kubernetes. 

Familiarity with 

• More than one of: C#, Java, Python, and C++
• Databases such as: MSSQL, Postgres, Redis
• Kafka/RabbitMQ or similar event-based platforms
• Data structures and design/analysis of algorithms 

Not required, but a bonus 

• Fixed Income products and Interest Rate derivatives (including Risk, PnL attribution, scenario analysis, etc.)
• IR derivatives models (Yield Curves, Option Pricing, SABR, etc.)
• Statistics, discrete mathematics, linear algebra 

Personal Traits 

• Possesses the ability and desire to learn, adapt and grow.
• Demonstrates personal humility, respect for others, and trust in their teammates.
• Capable of independently driving projects to completion but prefers collaborating with teammates.
• Excellent problem-solving and debugging skills, but even better listening and communication skills.
• Strong attention to detail, with a track record of leading and driving projects to completion. 

The annual base salary range for this position is $200k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The UP - Analytics - Middle Office team is looking for an outstanding Senior Software Engineer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team build and maintains services which: 

• calculate analytic measures across many asset classes
• predict theoretical market outcomes based on user-defined what-if scenarios
• return analytics for any time horizon

We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. We're looking for talented software engineers with proven experience in the trading and finance industry. 

Responsibilities: 

• Partner closely with stakeholders and quantitative teams to design and implement complex financial modeling solutions
• Leverage your expertise in finance and quantitative analysis to architect robust, scalable analytics systems
• Write readable and well-tested code in multiple languages, paradigms, and platforms
• Collaborating with various business, development, IT, and trading support teams
• Provide on-call support as part of our team-wide rotation
• Keep open communication with our users for support, testing, and ensuring understanding of their needs

Qualifications: 

• Experience using applied mathematics (linear algebra, optimization, numerical methods)
• Strong understanding of statistics and probabilities
• Quantitative modeling of financial products and derivatives
• Fluent in functional, object-oriented, or imperative programming languages
• Competent in distributed version control, CI/CD, Docker, and Kubernetes

Familiarity with: 

• One of the following programming languages: Elixir, Python, Java, C#
• One systems level programming language: C, C++, Rust
• Pricing, risk management, and portfolio analytics
• Exchange-traded financial assets, statistics, or financial engineering
• Data structures and design/analysis of algorithms

Personal traits: 

• Possesses the ability to learn, adapt and grow
• Demonstrates personal humility, respect for others, and trust in their teammates
• Capable of independently driving projects to completion but prefers collaborating with teammates
• Excellent problem-solving and debugging skills, but has better listening and communication skills

The annual base salary range for this position is $200k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

JOB SUMMARY

We are seeking a Firmware Engineer with an interest in developing software for Battery Management Systems (BMS), robot communications, and sensing in robotic systems.

In this role, you will be responsible for the design, implementation, optimization, and testing of BMS firmware, robot communication systems, and real-time feedback control systems. You will also support hardware bring-up activities, develop and execute Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) tests, and contribute to system integration, validation, and debugging as embedded devices come online.

These embedded systems are core components that enable robots, including humanoids and mobile manipulators, to perform meaningful work across a wide range of applications.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Collaborate with systems, electrical, mechanical, and software engineers to develop the next generation of robotic platforms
• Lead cradle-to-grave development of Battery Management Systems (BMS), robot communications firmware, and sensing systems, including design validation
• Develop and execute Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing to validate system performance and reliability
• Design and implement fault detection, fault injection, and recovery mechanisms for safety-critical systems
• Manage over-the-air (OTA) firmware updates for embedded systems deployed on robotic platforms
• Partner with cross-functional engineering teams to bring up robot power distribution and sensing systems from prototype through production

SKILLS AND REQUIREMENTS

• Strong fundamentals in microcontrollers and battery systems
• Knowledge of real-time operating systems (RTOS) and hands-on experience working with an RTOS
• Understanding of distributed computing, multithreaded, and multi-process system design and debugging
• Experience with industrial control systems, industrial robotics, or process automation
• Experience developing in C and C++ for TI C2000 microcontrollers
• Proficiency in C/C++ and Linux; familiarity with Python, Docker, and Git
• Experience working in Agile teams, including participation in sprint planning, design reviews, and code reviews
• Strong hardware debugging skills using tools such as oscilloscopes and logic analyzers
• Ability to read and interpret electrical schematics (Altium Designer preferred) and hardware datasheets
• Experience with embedded communication protocols such as SPI, EtherCAT, Ethernet, UART, RS485, and CAN
• Familiarity with safety-critical embedded system design standards (e.g., ANSI/RIA R15.06, MISRA)
• Experience managing firmware deployments for fielded products

EDUCATION and/or EXPERIENCE

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or equivalent practical experience
• Minimum of 1 year of relevant industry experience (excluding academic training) developing production-grade embedded software

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

WHAT YOU WILL DO

onX is seeking a Senior Backend Engineer with a passion for building scalable platform Identity and Access Management (IAM) systems. Your focus will be on designing, developing, and scaling secure authentication, authorization, and user management services that are foundational to our platform. You will play a key role in evolving our IAM platform and delivering seamless cross-platform authentication across iOS, Android, and web.

You will be part of our Core Services team that enables product teams to build faster and more securely by providing core infrastructure, services, and patterns. This is a great opportunity to help shape the future of how users securely access and interact with onX's suite of outdoor technology products.

This position reports to the Director of Engineering, Core Services.

TECHNOLOGIES WE USE

Our backend engineers primarily work in Go running in Kubernetes on Google Cloud Platform. The IAM team works extensively with identity platforms (Ory Kratos, Hydra, Oathkeeper), distributed databases (CockroachDB), and OAuth 2.0/session management patterns. Understanding mobile authentication tradeoffs (WebView vs. browser-based auth, token-based patterns) is particularly relevant for this role.

As an onX Senior Backend Engineer, your day to day responsibilities would look like:

(Essential Job Duties)

• Build scalable, secure IAM services that enable new features and products across the onX suite of apps
• Design and implement backend systems focusing on observability, fault-tolerance, security, and high performance
• Drive architectural decisions related to Identity and Access Management, ensuring alignment with and advancing our broader platform strategy
• Define and implement SLIs/SLOs for IAM services; drive reliability engineering practices including incident response and performance optimization
• Write thorough unit, integration, and acceptance tests to ensure high service quality and maintainability
• Document APIs, service architectures, and technical decisions for internal stakeholders and external partners as needed
• Collaborate closely with fellow engineers, product managers, and other stakeholders through design reviews, paired programming, and cross-functional planning sessions
• Leverage and extend existing onX services and platform patterns to drive consistency and reduce duplication
• Proactively improve system monitoring, alerting, diagnostics, and operational readiness of IAM-related services
• Participate in an on-call rotation to ensure backend services remain highly available and reliable
• Mentor and share knowledge with engineers on your team
• Lead by example and embody onX's company values, fostering a culture of technical excellence, ownership, and collaboration
•  

LOCATION

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub". 

• Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
• Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.  
  • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
• Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. 
  • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

WHAT YOU’LL BRING

• B.S., M.S., or equivalent experience in computer science or a related field
• Eight or more years of professional software development experience, with API development as a primary focus for at least three of those years
• Strong Go/Golang backend development experience with RESTful API design
• Experience building and debugging distributed, scalable, highly available microservices architecture
• Solid understanding of identity systems: OAuth 2.0, session management, bearer token authentication, SSO integrations
• Experience with distributed databases (CockroachDB or similar PostgreSQL-compatible distributed systems) and relational databases (PostgreSQL, MySQL)
• Excellence in designing and developing modern APIs and scalable systems that ensure reliability and extensibility
• Familiarity with Docker, Kubernetes, and infrastructure-as-code technologies such as Terraform
• Strong computer science foundation
• Security-first mindset -- you think about threat models, secure defaults, and defense in depth as part of your design process
• You evaluate technologies and solutions based on merit, stability, performance, and the ability to debug
• Ability to write maintainable, well-tested code that's easy for others to understand
• A strong sense of ownership of your work
• Advocacy for customers -- both internal colleagues and end users -- and their experience
• Permanent US work authorization is a condition of employment with onX

Preferred Qualifications

Though not required, we would be thrilled to consider candidates with any of the following:

• Experience with identity platforms such as Ory Kratos, Auth0, Cognito, or similar
• Experience with the Ory Stack, especially Hydra, Kratos, and Oathkeeper
• Experience with Authzed SpiceDB, Google Zanzibar, or AWS Cedar for fine-grained authorization
• Understanding of mobile authentication patterns: WebView vs. browser auth tradeoffs, token-based flows across iOS/Android/web
• Reliability engineering experience: SLI/SLO implementation, incident response, performance optimization
• SOC2 compliance experience or familiarity with security audit frameworks
• Experience with Elixir or the Phoenix Framework
• Familiarity with Google Cloud Platform
• Experience working with a distributed team

COMPENSATION

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $146,000 to $182,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE ARE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan 
• Parental leave plan of 5 or 13 weeks fully paid
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PS@onxmaps.com. 

Position open until filled. 

#LI-Remote

JOB SUMMARY

Apptronik is seeking a Software Engineer - Full-Stack to join our Interface team within Fleet Connect. In this role, you will build the operator-facing software and backend services that support real-time monitoring, control, and coordination of Apollo across customer deployments. You will work closely with senior engineers, UI/UX, and cross-functional partners to deliver reliable, intuitive software that helps customers operate robotic systems effectively in production environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Develop and maintain frontend and backend features for fleet management, robot operations, and customer-facing monitoring workflows.
• Build dashboards and service integrations that surface robot state, job progress, system health, and operational metrics in real time.
• Contribute to backend APIs and data flows that connect Apollo’s software stack with fleet coordination services and customer enterprise systems.
• Implement data storage and retrieval patterns that support fleet telemetry, job history, and operational reporting.
• Work with UI/UX partners to translate workflows and wireframes into polished, responsive interfaces for operators and deployment teams.
• Support software quality through code reviews, testing, debugging, and iterative improvement based on internal and customer feedback.
• Collaborate across software, systems, hardware, applications, and deployment teams to deliver features that work reliably in production settings.

SKILLS AND REQUIREMENTS

• Programming: Proficiency in Python or TypeScript, with working experience in both preferred.
• Frontend: Experience with React or a comparable modern frontend framework for building responsive user interfaces.
• Backend: Familiarity with REST APIs, service-oriented backend development, and common messaging patterns.
• Databases: Experience with relational databases such as PostgreSQL; familiarity with additional data stores is a plus.
• Infrastructure: Exposure to cloud platforms, Docker, Kubernetes, and modern software deployment practices.
• Version Control: Demonstrated competence with Git and collaborative development workflows.
• Software Quality: Experience with unit or integration testing and familiarity with CI/CD principles.
• Preferred Qualifications:
• Experience with gRPC and Protocol Buffers.
• Familiarity with industrial automation protocols such as OPC UA, Modbus TCP, or EtherNet/IP.
• Prior exposure to fleet management, multi-robot coordination, or operator-facing industrial software.
• Experience integrating with WMS or ERP systems through APIs or message brokers.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience building and maintaining reliable software systems.
• Experience working in agile development environments is desirable.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic telemetry, sensor, and training data used across model development, fleet analytics, and operational reporting. You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring data is reliable, well-governed, and accessible across both cloud and hybrid deployment environments. Your work will provide critical infrastructure for improving Apollo in development and in production.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Design and maintain backend data services and pipelines for ingesting, processing, and serving telemetry, sensor, and training data generated across development and deployed fleets.
• Build robust batch and streaming data workflows that integrate on-robot data sources, cloud infrastructure, and enterprise systems.
• Develop internal APIs and platform tooling that enable machine learning, robotics, and software teams to access trusted data efficiently and securely.
• Establish data quality, lineage, and governance practices that improve confidence in datasets used for model training, analytics, and operational decision-making.
• Monitor and optimize storage systems, database performance, and resource utilization to meet scalability, throughput, and latency requirements.
• Collaborate closely with data scientists, machine learning engineers, robotics engineers, SRE, and security teams to deliver production-ready data infrastructure.
• Support secure deployment patterns including encryption, access controls, and reliable operation across cloud and hybrid environments.
• Stay current on data engineering practices, distributed systems design, and emerging technologies relevant to robotics and machine learning platforms.

SKILLS AND REQUIREMENTS

• Programming: Strong proficiency in Python; experience with Go for backend service implementation is preferred.
• Data Engineering: Experience with real-time and batch pipeline frameworks such as Kafka, Spark, Airflow, or comparable technologies.
• Databases: Strong command of relational databases such as PostgreSQL and familiarity with NoSQL stores; experience with time-series data is a plus.
• Cloud and Infrastructure: Proficiency with cloud platforms and hands-on experience with infrastructure tooling such as Terraform, Helm, or Ansible.
• Containerization: Experience with Kubernetes and Docker for deploying and scaling backend and data services.
• Security: Familiarity with encryption, RBAC, and secure service-to-service or user-to-service data access patterns.
• Monitoring: Experience building observability dashboards and alerting for data pipelines and platform services.
• API Design: Experience building REST APIs or gRPC services for data access, integration, and internal platform use.
• Preferred Qualifications:
• Experience in robotics, autonomous systems, data platforms, or machine learning infrastructure.
• Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy workloads.
• Experience with data catalog, lineage, or governance tooling.
• Knowledge of streaming architectures and event-driven systems in production environments.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience in data engineering, backend engineering, or a closely related discipline.
• Experience building data pipelines or platform infrastructure used to support machine learning, analytics, or AI workflows.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

Apptronik is seeking a Full-Stack Software Lead to lead the technical direction and delivery of the Interface team within Fleet Connect. In this role, you will guide the design and execution of the software systems that connect Apollo to customer workflows, operational dashboards, and enterprise infrastructure. You will combine hands-on development with technical leadership, partnering closely with product, applications, hardware, systems, and UX teams to deliver reliable, scalable software into live production environments. Your work will shape both the architecture of the Interface platform and the engineering practices that enable the team to execute effectively.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Technical Leadership: Set the architectural direction for the Interface platform; review designs and code, establish engineering standards, and guide implementation across frontend, backend, and integration layers.
• Execution Leadership: Partner with product and program stakeholders to translate roadmap priorities into executable plans, unblock delivery risks, and ensure the team ships high-quality software on a predictable cadence.
• Team Development: Mentor engineers through design reviews, technical coaching, and structured feedback, helping raise the team’s technical depth and execution quality.
• Full-Stack Development: Contribute directly to the development of operator-facing web applications and backend services that support fleet management, robot monitoring, and production operations.
• API and Integration Design: Architect and build REST APIs and gRPC services that interface with the robotics platform, customer WMS and ERP systems, and internal data pipelines.
• Industrial Automation: Lead integration efforts with customer automation systems including PLCs, hardware safety systems, and messaging infrastructure used in live production facilities.
• Reliability and Quality: Own software quality across the Interface product by driving test strategy, observability, maintainability, and operational readiness.
• Cross-Functional Collaboration: Work closely with UI/UX, systems, hardware, applications, product, and deployment teams to deliver features that satisfy system-wide requirements and customer needs.

SKILLS AND REQUIREMENTS

• Programming: Expert-level proficiency in Python and TypeScript; experience with C++ is a plus.
• Frontend: Strong track record with React or equivalent modern frontend frameworks, including component-based architecture and state management patterns.
• Backend: Demonstrated expertise designing REST APIs, microservices, and gRPC or Protocol Buffers based services for distributed systems.
• Industrial Protocols: Hands-on experience with OPC UA, EtherNet/IP, Profinet, or Modbus TCP for PLC and safety-system integration.
• Enterprise Integration: Experience interfacing with REST APIs, MQTT, AMQP, or Kafka for WMS, ERP, or adjacent enterprise workflows.
• Infrastructure: Familiarity with cloud platforms, Kubernetes, Docker, and the operational considerations of deploying software into production environments.
• Leadership: Proven experience leading small engineering teams or owning technical direction for a product area while remaining hands-on.
• Version Control: Demonstrated competence with Git and distributed development workflows.
• Preferred Qualifications:
• Experience with fleet management, task allocation, or multi-robot coordination systems.
• Prior experience in a Tech Lead, Staff Engineer, or equivalent capacity in robotics, automation, logistics, or industrial software.
• Experience partnering closely with UI/UX teams and incorporating user feedback into product decisions.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 8-10+ years of professional, full-time experience building and shipping production software systems, including significant full-stack or distributed systems work.
• 2+ years leading technical direction for a team or product area.
• Experience deploying software into robotics, automation, logistics, or other operationally complex environments is strongly preferred.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

We are looking for a Staff Bazel Engineer to build and scale the systems that power how our software is built, tested, and delivered.

Our robotics platform spans multiple languages, platforms, and hardware targets. In this role, you will own and evolve our Bazel-based build infrastructure, enabling fast, reliable, and reproducible builds across a complex system.

You’ll partner closely with software, platform, and robotics teams to ensure our build systems keep pace with rapid development and real-world deployment.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Own and evolve the Bazel build system across a multi-language robotics codebase
• Design and implement scalable build infrastructure, including remote caching and remote execution
• Develop and maintain Starlark rules, macros, and toolchains
• Optimize build and test performance across local development and CI environments
• Troubleshoot and resolve build failures, flaky tests, and dependency issues
• Improve developer workflows both locally and on hardware to reduce friction in build and integration processes
• Partner with engineering teams to onboard services and components to Bazel
• Support and enhance CI/CD pipelines to ensure reliable and efficient releases
• Establish and promote best practices for hermetic and reproducible builds
• Collaborate and mentor other engineers on the team.

SKILLS AND REQUIREMENTS

• Deep expertise and a proven track record of architecting, implementing and maintaining Bazel build systems at scale in production environments.
• Mastery of build systems, dependency management, and CI/CD pipelines and developer tooling with the ability to define the long-term strategic vision for the build infrastructure.
• Extensive experience designing, developing and maintaining complex Starlark rules, macros and toolchains to support diverse language ecosystems.
• Proficiency in one or more core programming languages (e.g., C++, Python, Go, Java)
• Demonstrated ability to drive significant improvements in the build and test performance, reliability and developer efficiency across a large, multi- platform codebase.
• Exceptional troubleshooting and diagnostic skills to solve the most challenging and non-obvious issues within complex, distributed build environments
• Strong technical leadership and influence skills, capable of driving alignment and adoption of best practices across multiple cross-functional engineering teams and actively mentoring junior and senior engineers.

Preferred:

• Experience with remote execution systems (e.g., Bazel RBE, Buildbarn, BuildFarm)
• Familiarity with robotics systems, embedded software, or hardware/software integration
• Experience with containerized environments (Docker, Kubernetes)
• Knowledge of hermetic builds and reproducible systems

EDUCATION and/or EXPERIENCE

• Bachelor’s degree (or equivalent experience) in Computer Science, Computer Engineering, or a related field
• At least 8+ years of experience in software engineering, build systems, or developer infrastructure, including hands-on experience with Bazel

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it.

Apptronik is a pioneering company specializing in advanced robotics and automation solutions. We are seeking a talented Robot Platform Software Engineer to join our team in Austin, TX. This role offers an exciting opportunity to work on cutting-edge technology platforms that power our next-generation robotic systems.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES:

• Platform Evolution: Contribute to the development and implementation of scalable software solutions that evolve existing architectures to support next-generation robotic systems.
• Architecture: Participate in architectural discussions and provide technical input to help define the roadmap for platform software, focusing on modularity and performance.
• Hardware-Software Integration: Work closely with hardware teams to execute de-risking tasks and validate new components, ensuring reliable communication and integration across the robotic stack.
• Resource Profiling: Assist in evaluating compute resource requirements by profiling complex software stacks and identifying opportunities for optimization in constrained environments.
• System Adaptation: Support the porting and optimization of established software frameworks to new hardware platforms, maintaining high standards for system stability and reliability.
• Performance Benchmarking: Conduct profiling and benchmarking tests to identify system bottlenecks, helping to ensure the platform scales effectively across diverse hardware.
• Engineering Standards: Adhere to and promote software engineering best practices, including participating in code reviews, maintaining clear documentation, and contributing to continuous integration efforts.

SKILLS AND REQUIREMENTS: 

• Strong C++ Command: Proficiency in C++ within a Linux environment, with experience in system-level programming and an understanding of performance-sensitive code.
• Architectural Awareness: Solid understanding of complex, multi-component system architectures and the ability to contribute meaningful design ideas for safety and scalability.
• Hardware Interaction: Experience with hardware integration and testing, including familiarity with low-level drivers, communication protocols (e.g., CAN, EtherCAT), or sensor data handling.
• Analytical Profiling: Ability to perform resource usage analysis (CPU, memory, latency) to help inform system specifications and hardware selection.
• Adaptability with Existing Code: Proven ability to work within and improve established codebases, balancing the need for modernization with a respect for proven architectural foundations.
• Distributed Systems: Familiarity with API design, and containerization tools like Docker or Kubernetes in a robotics or embedded context.
• Collaborative Mindset: Strong communication skills and the ability to work effectively in a cross-functional environment, bridging the gap between hardware constraints and software requirements.

EDUCATION and/or EXPERIENCE: 

• Bachelor's degree in computer science, Engineering, or related field; Master’s degree in computer science or equivalent preferred.
• 4+ years of experience in software engineering, with a focus on developing system-level software

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

Apptronik is seeking an Integration Engineer to join our Fleet Connect team. As we scale the deployment of Apollo at customer sites, you will be the primary engineer responsible for integrating humanoid robotic systems into live production facilities. Your role is to bridge the gap between our advanced software stack and traditional industrial automation. You will ensure seamless communication between Apollo, hardware safety systems (e.g., PLCs, light curtains), and enterprise management software (WMS/ERP). You will be instrumental in creating the workflows and interfaces that allow our robots to navigate, execute tasks, and report health metrics within complex, dynamic environments.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Industrial Automation: Link robotic platforms to traditional automation systems, including PLCs and hardware safety systems such as light curtains and emergency stops.
• Enterprise Software Orchestration: Facilitate job and work orchestration by integrating with customer ERP and Warehouse Management Systems (WMS) via REST APIs or message brokers.
• Workflow Development: Design and implement intuitive interfaces and workflows for facility mapping, map annotation, labeling, and work ingestion queues.
• Fleet Coordination: Develop and maintain systems for coordinating and monitoring robot job progress, navigation, and scheduling.
• Metrics & Monitoring: Implement robust monitoring solutions (e.g., Grafana, MQTT) to track and report on fleet health and performance metrics.
• Troubleshooting: Diagnose and resolve complex robot integration issues, debugging hardware-software interfaces in real-time environments.
• Cross-functional Collaboration: Interface with UI/UX, systems, software, hardware, and applications teams to deliver features that satisfy system-wide requirements.

SKILLS AND REQUIREMENTS

• Programming Proficiency: Expertise in Python, C++ or TypeScript.
• Industrial Protocols: Hands-on experience with OPC UA, EtherNet/IP, Profinet, or Modbus TCP for PLC and safety system integration.
• Enterprise Integration: Experience interfacing with REST APIs, MQTT, AMQP, or Kafka for WMS/ERP connectivity.
• Messaging & Internal Comms: Proficiency with gRPC and Protocol Buffers for low-latency distributed communication.
• User Interface & Experience: Track record of collaboration with UI/UX designers and end-users to iterate on intuitive dashboards and control interfaces.
• Version Control: Demonstrated competence with Git or version control of distributed systems.
• Infrastructure Tools: Familiarity with Linux, Docker, and containerization technologies.
• Fleet Management: Prior experience in human-AMR planning, task allocation, and multi-agent coordination.
• System Design: Strong understanding of distributed execution and software design patterns.

EDUCATION and/or EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience building and maintaining reliable, scalable systems.
• Experience architecting workflow definitions for autonomous systems and/or integrating robotics systems into production environments.

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

Apptronik is seeking a SimOps Engineer to architect and maintain the large-scale simulation infrastructure required for Apollo, our general-purpose humanoid robot. In this role, you will apply high-fidelity simulation rigor to humanoid robotics, managing the lifecycle of virtual environments used for locomotion, dexterous manipulation, and synthetic data collection. You will build the scalable frameworks and automated pipelines that allow our teams to perform system-level optimization and reliability analysis, ensuring that virtual testing accurately mirrors the real-world physical performance of Apollo.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Humanoid Simulation Frameworks: Architect and implement scalable, highly-available simulation frameworks. These should support high-fidelity humanoid dynamics, including complex joint interactions and balance controllers, while enabling domain randomization and synthetic data generation.
• HPC & Cloud Orchestration: Deploy and manage High-Performance Computing (HPC) clusters (e.g., GCP, on-prem) to enable sub-24-hour turnaround for massive, ad-hoc simulation requests and parallelized training workloads.
• Metrics & Visualization: Establish robust observability and monitoring to provide insight into simulation health, utilization, and performance.
• Custom Tooling: Develop specialized tools and dashboards (e.g., using Python, Grafana, FastAPI, or Dash) to visualize complex simulation results that require custom interaction or specialized plotting.
• Automated Data Pipelines: Create automated pipelines to extract, transform, and load (ETL) simulation data for large-scale training and performance benchmarking.
• CI/CD & Sim-in-the-loop Testing: Establish CI/CD pipelines for automated code generation and Simulation-in-the-Loop performance benchmarking to catch regressions early in the development cycle.

SKILLS AND REQUIREMENTS

• Robotics Simulation: Expertise in tools such as IsaacSim/IsaacLab, MuJoCo, Gazebo, Omniverse.
• Monitoring & Dashboards: Proficiency with tools like Grafana for infrastructure and telemetry visualization.
• High-Performance Computing: Demonstrated experience managing GPU-accelerated HPC clusters on cloud platforms (e.g., AWS/GCP) or on-prem systems.
• Programming Proficiency: Advanced Python or C++ skills; experience with web frameworks for building internal research tools is a plus; experience with ROS/ROS2 is a plus.
• Automation: Hands-on experience with GitLab, Jenkins, or GitHub Actions for automating software builds and simulation testing.
• Infrastructure as Code (IaC): Comfort deploying IaC using tools like Kubernetes, Helm, Terraform, Ansible, Docker.
• System Optimization: Proven ability to conduct system-level optimization for complex robotic architectures to identify high-performance hardware/software solutions.

EDUCATION and/or EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 5 years of professional, full-time experience in simulation or infrastructure engineering, with a track record of improving simulation through automation. 

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

As a Staff Systems Engineer for robot software, you play a pivotal role in the development of advanced, general-purpose robots designed to operate in human environments and work with human tools.  This position demands a high degree of ownership and responsibly, driving projects across the engineering from conception to completion.  You will be responsible for leading software design project efforts for general and specific use and test cases.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Drive cross-functional engineering teams to design, develop and maintain scalable and reliable platform software solutions that support the deployment and operating of robotic systems. 
• Lead cross-functional, multidisciplinary teams to develop software requirements, architectures, implementation schedules, and test plans for full-stack robotic systems. 
• Lead and support Root Cause Analysis on complex hardware-software-control integration and operational bugs.
• Design and develop APIs, services and frameworks to allow for unique prototype robot use cases, research and development investigations as well as off nominal test scenarios.
• Troubleshoot and debug complex issues in both development and production environments, ensuring rapid prototyping and minimal downtime.
• Design and develop fault detection, diagnostics, and recovery plans to enhance system robustness and uptime.
• Support the validation team by developing segmented robot or subsystem control software to allow for efficient test execution and data collection

SKILLS AND REQUIREMENTS

• Strong modern C++, OOP skills, multi-threading, and Linux application development
• Experience with container orchestration technologies (Kubernetes, Docker).
• Communication networking (EtherCAT, CAN)
• Proficiency with robotics packages (ROS, URDF, MuJoCo, Eigen, etc.)
• Proven experience with controls software integration, especially with hardware abstraction layers for sensors and actuators
• Strong understanding of distributed systems, microservices architecture, and API design principles.

EDUCATION and/or EXPERIENCE

• Bachelor's degree in computer science, Engineering, or related field; master’s degree in computer science or equivalent preferred.
• 8+ years of experience in software engineering, with a focus on RTOS and software design for real-time / latency-sensitive systems.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer 
• Must be able to lift 15 pounds at times 
• Vision to read printed materials and a computer screen 
• Hearing and speech to communicate

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify 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.

Who We Are

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Challenge

We are looking for a dynamic Data Engineer to join a team involved in designing, building, and maintaining reliable and scalable data solutions.

The ideal candidate is a strong Python developer who has some experience in front-end technologies like JavaScript, CSS3 and/or HTML5. They are a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoy working in a fast-paced environment.

What You’ll Take On

• Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
• Work with business teams and analysts to understand complex business rules and implement these for deriving insights.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.
• Develop and support continuous integrations build and deployment processes using Jenkins, Docker, Git, etc.
• Define and implement monitoring and alerting policies for data solutions.

What You Bring

• 3+ years of hands-on experience in Python.
• 3+ years of hands-on experience in using advanced SQL queries and writing/optimizing highly efficient SQL queries.
• 2+ years of working in AWS environment.
• Experience with Git.
• Experience with Docker.
• Comfortable working with business customers to collect requirements and gain a deep understanding of varied business domains.
• Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Information Systems, Statistics, Engineering, or similar.

Great to Have

• Experience integrating with 3rd party APIs is highly desirable.

What We Offer You

• Great Company Culture. Ranked as one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth. As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Play Hard. Our employees bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.
• Benefits. Medical, dental, vision, pension plan, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more!
• Perks. Fitness allowance, employee discount programs, free games & events, stocked pantries and the ability to earn up to $500+ per year for taking care of yourself and more.

The pay range for this position in Ontario at the start of employment is expected to be between $85,000 and $115,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program.

Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

As an equal opportunity employer, Take-Two Interactive Software, Inc. (“Take-Two”) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two’s equal opportunity commitment, please contact Careers@take2games.com

Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT THIS OPPORTUNITY

onX is seeking a Senior Geospatial Analyst to support the Offroad vertical, you will play a critical role in ensuring that Offroad-related geospatial content moves reliably through onX systems and into customers’ hands. You will collaborate closely with Offroad Product Managers, a Geospatial Project Manager, as well as with developers to execute geospatial work that supports the Offroad product roadmap.

This role is focused on implementation and delivery. You will apply strong technical judgment to build, maintain, and validate geospatial datasets and pipelines that are performant, scalable, and trustworthy.

This role lives within the Content domain, which is responsible for cartography, data processing, data analysis, and data sourcing across onX. You will be part of a broader team of Geospatial Analysts, Geospatial Project Managers, and Engineers supporting multiple verticals across the organization. This role reports to a Geospatial Manager.

This is a unique opportunity to lead mapping innovation at a company passionate about outdoor recreation and technical excellence.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• Serve as the Senior Geospatial Analyst supporting the Offroad vertical, owning the technical approach, sequencing, and delivery of geospatial work defined by the Offroad Geospatial Project Manager.
• Execute geospatial work that supports connected content initiatives by implementing datasets and workflows that enable Offroad content to be used consistently across multiple product features and experiences.
• Support content trust initiatives by executing audits, refreshes, and cleanup of high-impact Offroad datasets, applying technical judgment to ensure content is accurate, maintainable, and fit for long-term use, including identifying dataset candidates for update, replacement, or retirement.
• Leverage existing geospatial pipelines and contribute to the improvement and development of new processes as needed, ensuring reliable delivery of data from source systems into customer-facing products and services.
• Lead complex geospatial processing and analysis such as multi-source data integration, conflation, and large-scale QA/QC, applying expert judgment to resolve ambiguity and edge cases.
• Use Claude Code and other AI tools to generate, optimize, and automate geospatial workflows, including feature extraction, segmentation, classification, conflation, and QA.
• Proactively identify data quality risks, pipeline gaps, or platform limitations and surface recommendations to the Offroad Geospatial Project Manager.
• Analyze data, create dashboards, and monitor data health metrics to provide insights that inform business decisions and support overall product health.
• Research and evaluate geospatial data sources, making recommendations for new sources or improvements to existing ones.
• Partner closely with engineers to ensure geospatial solutions are performant, maintainable, and aligned with platform best practices.
• Own the end-to-end execution quality of assigned initiatives, from intake through production release and post-launch validation.
• Use version control (Git) and collaborative workflows to drive consistency and repeatability across the broader Geospatial team.
• Provide technical guidance and informal mentorship to other Geospatial Analysts as needed.
• Communicate clearly and confidently about technical decisions, risks, and progress to cross-functional partners.
• Other ad hoc duties as assigned by the Supervisor.Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• Bachelor’s degree in Geospatial, Geospatial Engineering, Computer Science, Hydrology, Geography, or related field; or equivalent technical experience.
• 8+ years of geospatial industry experience, including dataset sourcing, development, transformation, and deployment.
• Expert-level proficiency in QGIS and advanced geoprocessing techniques.
• Expert with SQL, cloud-based analytical databases (e.g., BigQuery), PostGIS, spatial indexing, and performance optimization.
• Strong Python skills, including experience with GDAL, geopandas, PyQGIS, and automation frameworks.
• Demonstrated ability to operate within complex spatial data pipelines, using version control (Git), and collaborative workflows to deliver reliable, maintainable solutions.
• Proven ability to use Claude Code or other AI coding assistants to generate scripts, automate tasks, and accelerate spatial workflows.
• Familiarity with Offroad-relevant datasets such as trail networks, road and route conditions, terrain data, land ownership, or other location-based content used in off-road recreation and land-access contexts.
• Familiarity with trail data sources, vendors, and key players in that space.
• Proven ability to work autonomously on complex, ill-defined projects, bringing structure, clarity, and execution rigor to ambiguous problem spaces.
• Ability to clearly communicate technical concepts to non-technical partners.
• Ability to travel bi-annually for multiple days to a corporate office or other onX strategic location, such as a Basecamp. 

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Master's degree in Geospatial, Geography, Computer Science, or a related field.
• Experience with graph-based data systems, including knowledge graphs or hierarchical spatial data stores.
• Experience working with modern geospatial data formats such as GeoParquet for scalable storage and processing.
• Experience building micro-services or distributed workflows for spatial data.
• Familiarity with cloud-based storage, Airflow, and Docker.
• Interest in off-road recreation, trail and route planning, terrain navigation, or related outdoor recreation products.
• Experience with distributed or remote teams.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

 onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $94,000 and $118,000 upon hire. The pay range will vary based upon experience, skills, certifications, education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and an annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

About the Role

We are seeking a seasoned SRE / DevOps Manager to lead our reliability and operations engineering team. You will be responsible for ensuring the scalability, security, and performance of our infrastructure while fostering a culture of automation, ownership, and continuous improvement.

At Upshop, we believe that great businesses are built by great people. Our People function is at the heart of our company’s growth, ensuring we attract, develop, and retain A Players who drive our mission forward.

Our Values:

• Extremely Accountable
• Customer Obsessed
• Always Innovating
• Demand Excellence
• Biased for Action

Key Responsibilities

Team Leadership

• Manage and mentor a team of SRE and DevOps engineers.
• Drive hiring, onboarding, and professional development.
• Set clear goals and performance metrics.

Reliability & Incident Management

• Own system uptime, performance, and reliability.
• Lead incident response and root cause analysis.
• Define and monitor SLAs, SLOs, and SLIs.

Infrastructure & Automation

• Oversee cloud infrastructure (Azure).
• Implement Infrastructure as Code (IaC) using tools like Terraform or other similar tools
• Drive automation of CI/CD pipelines and operational tasks.
• Build and manage a DevSecOps process to connect CI/CD pipelines with AzureDevOps, Gitlab etc.

Monitoring & Observability

• Implement and maintain monitoring, alerting, and logging systems.
• Use tools like Datadog or other similar tools like Prometheus, Grafana, ELK stack.

Security & Compliance

• Ensure infrastructure security and compliance with industry standards.
• Collaborate with InfoSec teams on audits and vulnerability management.

Cross-functional Collaboration

• Work closely with software engineering, product, and QA teams.
• Advocate for DevOps and SRE best practices across the organization.

Qualifications

• 10+ years of experience in DevOps, SRE, or infrastructure engineering.
• 2+ years in a leadership or managerial role.
• 3+ years of expertise with Cloud platform deployments
• 3+ years of experience working with MongoDB and cosmosdb
• Strong experience with cloud platforms (AWS, GCP, Azure).
• Proficiency in scripting languages (Power shell scripting, Python, Bash, Go).
• Hands-on experience with Kubernetes, Docker, CI/CD tools.
• Excellent communication and leadership skills.

Preferred Qualifications

• Experience with compliance frameworks (SOC 2, ISO 27001).
• Familiarity with Agile and DevOps methodologies.
• Certifications in cloud technologies or DevOps practices.

Benefits/Perks

• Hybrid Opportunity
• Competitive salary
• Employer-matched 401(k) plan
• Attractive paid time off policy
• Career growth and development opportunities

Compensation Range: $150-$180k CAD

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is building AI capabilities that change how security professionals understand and act on risk. We are looking for a Staff AI Engineer to lead that work. This is the role for the engineer who needs no scaffolding. You identify the problem, design the system, build it, ship it, and improve it — and you bring others along. You use AI-native tools not as a novelty but as a genuine force multiplier, moving at a pace that used to require a full team. You have strong product instincts and are comfortable operating with the ownership and ambiguity of a founding-team environment within an established company.

What You'll Do

• Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle
• Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks
• Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars
• Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented engineering looks like for the team
• Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap
• Drive architecture reviews, establish cross-team engineering standards, and elevate the technical level of the teams you work with
• Identify and eliminate bottlenecks in how AI features get built, tested, and shipped across the organization
• Operate with Staff-level ownership: you see the whole problem, not just your part of it

Required Skills and Experience

• 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end
• Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations
• 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation
• Strong product instincts: you think about user problems and business outcomes, not just technical implementation
• Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale
• Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary engineering practice, not an experiment
• Cloud infrastructure experience (AWS preferred) and comfort with the full production stack
• Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders

Our Tech Stack

TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Nice to Have

• Prior experience in a Staff or Principal engineering role with cross-team technical influence
• Background in cybersecurity, threat intelligence, or enterprise risk products
• Experience building and operating agentic AI systems, multi-agent orchestration, or LLM evaluation infrastructure
• Track record of defining engineering standards or leading technical strategy at the organizational level
• Experience in high-growth, Series C/D+ companies where engineering velocity and quality both matter

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $170,000 - $215,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a Senior AI Engineer who ships. This is a hands-on builder role for an engineer who is as comfortable defining the architecture of an agentic workflow as they are reviewing the production code that runs it. You will work at the intersection of LLMs, distributed systems, and real customer problems, turning emerging AI capabilities into features that security teams rely on every day.

What You'll Do

• Design, build, and ship customer-facing AI-powered product features using TypeScript, Go, and AWS, owning quality and reliability end-to-end
• Architect and implement agentic workflows, LLM pipelines, and intelligent automation that help customers surface faster, more actionable security insights
• Integrate foundation models into existing product surfaces with a practical eye toward latency, cost, output quality, and evaluation
• Use AI-native development tools (Cursor, Claude Code, and similar) as a core part of your workflow, setting the standard for how this team builds
• Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability
• Partner with product and design to translate user needs into compelling AI-driven experiences, contributing product judgment alongside technical execution
• Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch
• Stay current with the AI tooling and foundation model landscape and bring relevant advances into our roadmap and practices

Required Skills and Experience

• 5+ years of professional software engineering experience with a strong track record shipping customer-facing product features
• 2+ years of hands-on experience building AI-powered applications in production, including LLM integration, prompt design, and output evaluation
• Proficiency in TypeScript and strong backend engineering fundamentals
• Demonstrated ability to own complex projects end-to-end across the full software development lifecycle
• Experience designing and operating distributed systems in cloud environments (AWS preferred)
• Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices
• Strong computer science fundamentals including systems design, data structures, and networking
• Fluency with AI-native development workflows including AI-assisted coding tools as part of day-to-day engineering
• Clear, direct communication with both technical and non-technical stakeholders

Our Tech Stack

TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Nice to Have

• Experience with agentic AI systems, multi-agent orchestration, or retrieval-augmented generation (RAG)
• Familiarity with LLM evaluation frameworks and production observability for AI systems
• Background in cybersecurity, threat intelligence, or compliance-focused products
• Experience with high-scale data systems and large structured datasets
• Full-stack delivery experience and comfort working across the product surface

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $155,000 - $185,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Active Secret (or above) US security clearance
• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes, infrastructure as code, major cloud architectures)
• Experience with machine learning applied to imagery and/or video data
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

LI-KG1
LI-DUBLIN
LI-BRAZIL

Job Summary:

As a Product Security Engineer working in our Federal accounts, you will gain invaluable experience at a visionary identity security company. The position requires a passion for application security, solving both technical and organizational challenges, with the ability to work in a challenging, distributed and Infrastructure-as-Code development environment, excellent communications skills, and attention to the latest security best practices.

This role focuses on product security (application security) for Ping’s identity platform. Product Security Engineers partner closely with engineering teams to review code, identify vulnerabilities, and improve the security posture of production software across Ping’s revenue-generating products.

We are particularly interested in engineers who developed a passion for security and transitioned into application security or DevSecOps roles. Candidates with a background in software engineering, platform engineering, or DevOps who now focus on security are strongly encouraged to apply.

Responsibilities:

• Own multiple Security Engineering assignments working with Ping Identity products, processes, and tooling
• Assist in proposing, developing, and improving Secure Software Development Lifecycle (SSDLC) practices alongside global, high-performance product engineering teams
• Work with the product teams to perform security design/code reviews and vulnerability assessment and management in an agile environment
• Perform application security tasks including threat modeling, developer code reviews, consulting, static code analysis, dynamic runtime fuzzing, building custom tools, and automation and exploit development
• Assist the Federal presales, support, and customer success teams responding to prospect, customer, and field questions related to product and industry security
• Engage with third-party security consultants for independent security assessments, bug bounties, and penetration testing of the product

Required Qualifications:

• Ability to meet U.S. citizenship and residency eligibility requirements associated with supporting FedRAMP-regulated environments.
• 2+ years of application security experience across areas such as API Security, Web Application Security, Enterprise Application Security, and Mobile Application Security
• 3+ years of developing commercial software products
• Hands-on experience working with Secure Software Development Lifecycle (SSDLC) security tooling, such as source code scanning tools (SAST) and third-party dependency or software composition analysis (SCA)
• Strong understanding of modern authentication and identity standards, including OAuth 2.0, OpenID Connect (OIDC), and SAML
• Ability to review application code for security vulnerabilities, ideally in Java or Go
• Experience identifying and mitigating vulnerabilities aligned with OWASP Top 10
• Familiarity with cloud-native application environments, including Google Cloud Platform (GCP) or AWS, and containerized platforms such as Docker and Kubernetes
• Understanding of networking protocols and modern data center architecture
• Exceptional problem-solving skills, curiosity about the inner workings of systems, and strong attention to detail and documentation

Preferred Qualifications:

• Experience in security and compliance for FedRAMP solutions, including understanding of NIST, DoD, and related security standards
• Security certifications such as CISSP, CSSLP, GIAC, or OSCP
• Experience with Linux environments, administration, security, internals
• Experience with identity and access management (e.g. OAuth 2.0, OpenID Connect, SAML 2.0, Active Directory, 2FA/MFA, LDAP, SCIM, FAPI, OpenBanking)
• Experience with CI/CD in Federal or US government cloud deployment (e.g., AWS GovCloud, Azure, or GCP)
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Experience in vulnerability management measurement, reporting, and remediation

Salary Range: $133,060-$175,000
In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.

Job Summary:

As a Product Security Engineer working in our Federal accounts, you will gain invaluable experience at a visionary identity security company. The position requires a passion for application security, solving both technical and organizational challenges, with the ability to work in a challenging, distributed and Infrastructure-as-Code development environment, excellent communications skills, and attention to the latest security best practices.

This role focuses on product security (application security) for Ping’s identity platform. Product Security Engineers partner closely with engineering teams to review code, identify vulnerabilities, and improve the security posture of production software across Ping’s revenue-generating products.

We are particularly interested in engineers who developed a passion for security and transitioned into application security or DevSecOps roles. Candidates with a background in software engineering, platform engineering, or DevOps who now focus on security are strongly encouraged to apply.

Responsibilities:

• Own multiple Security Engineering assignments working with Ping Identity products, processes, and tooling
• Assist in proposing, developing, and improving Secure Software Development Lifecycle (SSDLC) practices alongside global, high-performance product engineering teams
• Work with the product teams to perform security design/code reviews and vulnerability assessment and management in an agile environment
• Perform application security tasks including threat modeling, developer code reviews, consulting, static code analysis, dynamic runtime fuzzing, building custom tools, and automation and exploit development
• Assist the Federal presales, support, and customer success teams responding to prospect, customer, and field questions related to product and industry security
• Engage with third-party security consultants for independent security assessments, bug bounties, and penetration testing of the product

Required Qualifications:

• Ability to meet U.S. citizenship and residency eligibility requirements associated with supporting FedRAMP-regulated environments.
• 2+ years of application security experience across areas such as API Security, Web Application Security, Enterprise Application Security, and Mobile Application Security
• 3+ years of developing commercial software products
• Hands-on experience working with Secure Software Development Lifecycle (SSDLC) security tooling, such as source code scanning tools (SAST) and third-party dependency or software composition analysis (SCA)
• Strong understanding of modern authentication and identity standards, including OAuth 2.0, OpenID Connect (OIDC), and SAML
• Ability to review application code for security vulnerabilities, ideally in Java or Go
• Experience identifying and mitigating vulnerabilities aligned with OWASP Top 10
• Familiarity with cloud-native application environments, including Google Cloud Platform (GCP) or AWS, and containerized platforms such as Docker and Kubernetes
• Understanding of networking protocols and modern data center architecture
• Exceptional problem-solving skills, curiosity about the inner workings of systems, and strong attention to detail and documentation

Preferred Qualifications:

• Experience in security and compliance for FedRAMP solutions, including understanding of NIST, DoD, and related security standards
• Security certifications such as CISSP, CSSLP, GIAC, or OSCP
• Experience with Linux environments, administration, security, internals
• Experience with identity and access management (e.g. OAuth 2.0, OpenID Connect, SAML 2.0, Active Directory, 2FA/MFA, LDAP, SCIM, FAPI, OpenBanking)
• Experience with CI/CD in Federal or US government cloud deployment (e.g., AWS GovCloud, Azure, or GCP)
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Experience in vulnerability management measurement, reporting, and remediation

Salary Range: $133,060-$175,000
In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.

About the Team

The Embedded Tools Team develops and supports infrastructure for embedded software development. Our responsibilities include developing and supporting continuous integration/continuous delivery (CI/CD) pipelines for in-house electronic hardware devices, developing software for firmware deployment, and participating in the design and development of a specialized acceptance test system used at our manufacturing site. We are a pragmatic team that prioritizes sound engineering and collaboration.

About the Role

What You'll Do

• Design, develop, and maintain continuous integration and continuous deployment (CI/CD) pipelines and hardware-in-the-loop (HIL) systems for our embedded software, which is developed specifically for in-house built electronic hardware. This will streamline the software build, test, deployment, and usage processes.
• Create tools for testing, diagnostics, and management of embedded systems.
• Work with hardware and other software teams to ensure everything works well together.
• Monitor infrastructure performance and implement improvements to enhance stability and efficiency.
• Provide support to development teams by answering questions and resolving issues related to the embedded firmwares CI/CD process, builds and development flow.

What You'll Need

• CI/CD & Automation:  Practical experience designing and maintaining workflows in GitHub Actions. 
• Python (High Proficiency): Most of the tooling, diagnostic servers, and firmware update logic are written in Python. should have deep experience with both Asyncio and Hardware Interaction including proven experience using pyserial , python-can , and smbus2.
• Modern Build Systems: Hands-on experience with Bazel and Nix for reproducible builds and package management.
• C++ & Systems Programming: Ability to read, interpret, and debug C++ firmware code.
• Scripting: Proficiency in Bash for low-level system configuration and hardware initialization scripts.
• Technical Literacy: Ability to interpret complex technical documentation and electrical schematics to understand hardware and plan software architecture. 
• Interface Protocols: Deep understanding of standard communication interfaces, specifically CAN, UART, Ethernet, and I2C.
• Ownership: A highly responsible, organized, and methodical approach to problem-solving.

Nice to Have

• Experience with Unix-like environments, command-line tools, and automation.
• Knowledge of isolation and virtualization techniques, particularly Linux containers and Docker.
• Experience in building and scaling CI/CD automation and infrastructure management.
• Knowledge of Linux distribution management, particularly Ubuntu and NixOS (the latter is a significant plus).
• Experience with various software build systems (Bazel , CMake).
• Familiarity with DevOps practices, including CI/CD processes on GitHub, AWS, and Kubernetes for cloud infrastructure. 
• Skills with soldering equipment.
• Experience in the automotive industry (CAN, DBC, ISO TP, UDS, DoIP). 

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience 
• Proficiency in machine learning and data science, and applying both to image and video data
• Proficiency in implementing and analyzing data structures and algorithms
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to software development life cycle and tools (e.g., Git, Agile) 
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MSA, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
• Experience deploying machine learning and data science, and applying both to production environments
• Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
• Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (i.e., back end, front end, REST)
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Why Kaseya?

Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a high impact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We’re hiring a Senior Backend Engineer to build and scale the backend systems behind our automated network penetration testing platform. This role focuses on developing reliable services, improving system performance, and supporting new product capabilities. You’ll work closely with engineering and security teams to deliver production-ready systems that handle real-world security workloads.

Roles & Responsibilities

• Build and maintain backend services using Ruby on Rails in a production environment
• Implement and manage background job processing using Sidekiq and messaging systems such as RabbitMQ
• Partner with security and research teams to support new platform capabilities
• Improve performance, scalability, and reliability of existing services
• Write and maintain technical documentation and code comments
• Review code and ensure adherence to team standards
• Investigate and resolve production issues
• Support and mentor junior engineers

Required Qualifications

• 5+ years of professional experience building backend applications using Ruby on Rails
• 2+ years of experience using Sidekiq in a production environment
• Daily use of Linux in a development or production environment
• Experience using Git for version control, including pull request workflows
• Experience building and maintaining production systems (deployed, monitored, and supported)

Preferred Qualifications

• Experience working with networking concepts or protocols
• Exposure to penetration testing or security-focused environments
• Familiarity with containerization technologies (e.g., Docker)
• Experience working on performance optimization or scalability improvements
• Interest in automation and improving engineering efficiency
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to improve productivity
• Experience collaborating with cross-functional teams (e.g., security, research)

Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AIOps platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Opportunities to conduct mission-critical field work

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.  

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [k8s], infrastructure as code, major cloud architectures)
• Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals)
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments 

The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company.

Our flagship product, Chariot, is used by customers to develop, deploy, and maintain production ML models. We’re looking for exemplary engineers with a product mindset, who can write quality code in Go and Python and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise and you push the boundaries of your own capabilities. You are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes:

• Everything as Code 
• Cloud-neutral development 
• User-centric design
• Hexagonal, event-driven, microservice architecture 
• Optimizing, deploying, and refining AI models and algorithms 

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what else we’re looking for:

• 6–8 years of hands on development experience
• Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust
• Proficiency in Python
• Experience with DevOps tooling: CI/CD tools, Git, Docker, Kubernetes
• Proven experience with cloud architecture: commercial cloud, OpenStack
• Experience in the design and development of performant, scalable services
• Familiarity with database design and architecture: relational and non-relational
• Ability to work cross-functionally and participate in or lead design discussions
• Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment
• Experience in knowledge sharing, mentoring, and coaching (i.e., onboarding, code reviews, leading junior engineers)
• Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies
• Driven, self-directed personality
• Strong sense of mission and commitment to making a difference
• Bachelor’s degree in CS or related field, or similar experience
• Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder)

The Wish List

We’re very interested in developers who possess the above qualifications, and we heavily appreciate and consider the addition of:

• Understanding of synchronous/asynchronous programming and concurrency
• Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow)
• Experience designing RESTful, gRPC, or GraphQL APIs
• Understanding of networked and distributed computing
• Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ)
• Experience with workflow automation

The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AIOps platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Opportunities to conduct mission-critical field work

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.  

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [k8s], infrastructure as code, major cloud architectures)
• Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals)
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Active Secret (or above) US security clearance 

The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

#LI-Onsite 

Who We Are

Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of our growing library of critically-acclaimed franchises such as NBA 2K, Battleborn, BioShock, Borderlands, The Darkness, Mafia, Sid Meier’s Civilization, WWE 2K, and XCOM.

At 2K, we pride ourselves on creating an inclusive work environment, encouraging our teams to Come as You Are and do their best work! We are dedicated to diversity and inclusion, and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions.

2K is headquartered in Novato, California, and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).

What We Need

We are looking for a Senior Site Reliability Engineer for the Platform Insights team, reporting to the Senior Manager. This role will lead the Observability team that supports our game platform and studios across production and development environments. 

What You Will Do

• Architect, develop, and evolve our enterprise-wide observability platform to provide deep visibility into infrastructure and application performance
• Design and implement monitoring solutions leveraging modern metrics and visualization technologies, with support for additional platform integrations
• Collaborate with application and infrastructure teams to define and implement observability standards and best practices across the software development lifecycle (SDLC)
• Implement and maintain automation for monitoring configurations using infrastructure as code (IaC) tools
• Integrate observability standards to unify metrics, logs, and traces across collection pipelines
• Drive cost optimization initiatives around monitoring and logging, balancing data retention, performance, and value
• Partner with developers and operations teams to enable self-service observability capabilities
• Create automation and alerting processes to proactively identify and resolve performance issues before they impact business operations
• Participate in architectural reviews to ensure observability is embedded into new services and platforms from the outset
• Contribute to documentation and knowledge sharing around observability tools, processes, and patterns
• Deliver reports and visualizations tailored for both technical and business stakeholders.
• Evaluate emerging technologies to evolve 2K’s observability strategy.
• Drive automation and process improvements to improve system performance, resiliency, and insight quality.
• Select, configure, and integrate industry-leading monitoring and telemetry tools (e.g., Prometheus, Grafana, ELK, Dynatrace, Datadog).

Who We Think Will Be a Great Fit

• 5+ years of professional experience in information technology, including 3+ years specializing in observability, monitoring, or SRE engineering.
• Deep knowledge of monitoring toolsets such as Prometheus, Grafana, ELK, Splunk, Dynatrace, Datadog, or equivalent.
• Proficiency in Python for automation and tool development.
• Hands-on experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
• Strong understanding of networking, infrastructure, and performance optimization.
• Experience with IaC tools such as Terraform
• Familiarity with configuration management tools (Ansible, Chef, Puppet) and CI/CD integration.
• Proven track record designing and delivering dashboards, alerts, and performance reports for multiple audiences.
• Excellent communication skills, with the ability to translate technical insights into actionable recommendations.

Bonus Points:

• Experience building an Observability practice from the ground up.
• Experience with developing software for highly scalable/distributed systems
• Experience using IaC for highly elastic workloads
• Experience in gaming or similar industries, combining large-scale internet-facing systems with software development and entertainment services culture
• Familiarity with common source code repositories and infrastructure as code methodologies

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need a reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

ICON is looking for an open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. As a Senior Software Engineer at ICON, you will be responsible for developing visualization and planning tools to streamline the residential construction process. This role reports to the Director of Software Engineering and is based in our Austin, TX campus.

RESPONSIBILITIES

• Lead implementation of key software technologies in the BuildAI platform, a digital construction software platform being developed from the ground up.
• Serve as a trusted expert in the technical aspects of business-critical problem areas.
• Serve as a trusted expert in industry trends, technologies, and best practices. Implement these technical solutions and practices in the organization as needed.
• Design, develop, test, and deploy reusable web-based components, libraries and APIs for use throughout a suite of applications within the BuildOS platform.
• Work with UX designers to enhance the Design System and implement new workflows for the BuildOS platform.
• Grow the technical competencies of the entire organization through education and mentorship.
• Work with application and backend engineers to manage relationships between authored model data, backend data, and rendering.

 MINIMUM QUALIFICATIONS

• 8+ years of professional experience in software engineering.
• 5+ years of experience as a technical leader across entire engineering organizations.
• BS in Computer Science, related field, or equivalent experience.
• Experience developing web-based front end applications.
• Experience developing REST APIs.
• Node.js and TypeScript experience.

PREFERRED SKILLS AND EXPERIENCE

• React, Redux, and RxJs experience.
• Experience as a technical leader at a startup.
• Experience working with a Component library.
• AWS Lambda and Serverless experience.
• AWS Cloud development kit experience.
• PostgreSQL, GraphQL experience.
• Experience working with Docker.
• Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify 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.