Full Stack Software Engineer

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, Google Cloud Platform, 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 & Location
This is a Contract position based out of San Jose, CA.
Pay and Benefits
The 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 Type
This is a hybrid position in San Jose,CA.
Application Deadline
This 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.