New

Full Stack Software Engineer

TEKsystems
$60.00 - $70.00 / hr
life insurance, sick time, 401(k), retirement plan
United States, California, San Jose
May 23, 2026
Description Our Client is hiring a Full Stack Software Engineer to own the internal automation platform that powers their entire research, robotics, and infrastructure organization. This is a true 50/50 full-stack role - equal frontend and backend ownership - with a need for someone comfortable working close to hardware and physical systems. The platform this engineer builds is mission-critical: it drives how they collect training data, validate robot task performance, manage model versions, monitor distributed training jobs and robot fleet health, and accelerate iteration on humanoid robot behavior. Daily collaboration with ML engineers, roboticists, and researchers. What You'll Build * Frontend interfaces for data collection, labeling, model validation, and experiment tracking * Backend services and APIs connecting cloud infrastructure, the robot fleet, and data pipelines * Observability tooling and dashboards for cloud infra, distributed training jobs, and robot fleet status * Integrations with data infrastructure - storage backends, pipeline orchestration, dataset management * Fleet management, teleoperation, and deployment tooling bridging software to physical robots * Reliability, performance, and scalability ownership across the internal platform as it scales Additional Skills & Qualifications QUALIFICATIONS Required * 3+ years of full-stack development experience, ideally building internal tools or platforms * Strong proficiency in a frontend framework - React, Vue, or similar * Solid backend in Python, Node.js, Go, or equivalent * Cloud infrastructure and storage experience - AWS, GCP, S3, GCS, or similar * Strong ability to design and work with REST or gRPC APIs and structured data pipelines * Comfortable working across codebases owned by multiple teams (robotics, ML, infrastructure) * Strong attention to security, privacy, and multi-tenant data isolation Nice to Have - Strong Differentiators * Familiarity with ML training pipelines, model versioning, or experiment tracking tools * Exposure to robot fleet management, robotics control systems, or teleoperation software * Experience with large-scale data infrastructure - dataset management or pipeline observability * Familiarity with distributed systems: Kubernetes, job scheduling, or cluster monitoring * Prior work with LLM or foundation model APIs (Claude, OpenAI, etc.) Experience Level Intermediate Level Job Type & LocationThis is a Contract position based out of San Jose, CA. Pay and BenefitsThe pay range for this position is $60.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a hybrid position in San Jose,CA. Application DeadlineThis position is anticipated to close on Jun 3, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.