DevOps Engineer

About TechSee

TechSee is pioneering the future of customer service through Visual and Spatial AI. While most AI understands language, TechSee enables AI to understand the physical world. By combining computer vision, spatial intelligence, conversational AI, and augmented reality, TechSee empowers enterprises to diagnose issues, guide customers, and automate complex service interactions with unprecedented accuracy.

Trusted by leading global brands including Google, Verizon, ADT, and DIRECTV, TechSee helps millions of customers resolve issues faster while reducing operational costs and transforming the customer service experience.

Backed by Salesforce Ventures and Scale Venture Partners, TechSee is building the intelligence layer for the next generation of autonomous customer service in the physical world.

The Opportunity

We are looking for a DevOps Engineer to join our DevOps team and help power the cloud infrastructure behind our enterprise AI platform.

You will build, automate, and scale infrastructure and CI/CD pipelines across our multi-region AWS environment. Working closely with R&D teams, you will combine strong Terraform, Python, and Linux skills with daily use of AI coding assistants and agents to improve delivery, reliability, and developer productivity.

Key Responsibilities

• Build and maintain AWS infrastructure using Terraform across production and non-production environments.

• Develop and improve CI/CD pipelines for reliable software delivery.

• Build Python tools and automation to simplify operations and improve developer productivity.

• Integrate AI tools and agents into infrastructure, troubleshooting, and delivery workflows.

• Improve monitoring and alerting, troubleshoot production issues, and collaborate with R&D teams to strengthen reliability and security.

• Participate in the team’s on-call rotation to troubleshoot production incidents and maintain service availability.

Qualifications

• 3–5 years of hands-on DevOps, Platform Engineering, or SRE experience.

• Strong AWS and Terraform skills, including modules, state management, and multi-account and multi-environment setups.

• Experience with Docker, ECS and/or Kubernetes, and CI/CD using GitHub Actions or Jenkins.

• Strong Linux, networking, and troubleshooting skills, alongside Bash and Git.

• Strong Python skills for building tools, CLIs, Lambda functions, and AWS automation with boto3.

• Daily use of AI coding assistants and experience building or customizing AI workflows, agents, or operational automation, with secure code review and access practices.

Advantage

• Experience building custom AI-powered tools, at work or as personal projects, with concrete examples of how they improved company processes, enhanced existing tools, or increased your productivity.

Why Work With Us?

• Real-World AI Impact: Help power Visual and Spatial AI used by leading global enterprises.

• AI-Native Engineering: Use AI tools and agents daily to improve automation, troubleshooting, and delivery.

• Ownership & Growth: Own infrastructure projects, CI/CD improvements, and Python tooling as part of our DevOps team.

• Collaborative Culture: Join a supportive global team that values learning, knowledge sharing, and practical innovation.

• Hybrid Work & Flexibility: Enjoy a flexible hybrid work model combining office and remote work.