Lead Infrastructure Engineer

Kognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in agentic workflows, enabling machines to reason, plan, and execute tasks in a deterministic fashion.

Our approach elevates debugging to English, bypassing traditional programming languages that struggle to adapt to runtime surprises. Kognitos is building "HAL"-but the friendly, helpful kind-to create systems that align AI safety with business value, solving challenges in efficient fine-tuning, multimodal reasoning, and real-world adaptability.

Our team includes top engineers from Google, Microsoft, Meta, Amazon, Pure Storage, and leading tech startups. Many of our engineers have studied at IIT, Georgia Tech, Carnegie Mellon, Stanford, UC Berkeley, University of Washington, UIUC, Caltech, and the University of Michigan.

With offices in San Jose, CA, and Bangalore, India, we're building a global center of excellence in AI automation.

At Kognitos, you won't just build software-you'll help shape the future of AI-driven automation.

Lead Infrastructure Engineer

San Jose, CA (Hybrid - 3x/week) | Full-Time

We're looking for a Lead Infrastructure Engineer to own and scale the core systems powering developer velocity and platform reliability at Kognitos. If you're passionate about Terraform, scalable cloud infrastructure, and enabling high-performance engineering teams, this is your opportunity to lead from the front.

About the Role

In this hybrid role, you'll operate at the intersection of Developer Productivity and Site Reliability Engineering (SRE). You'll design, implement, and maintain the infrastructure that enables our teams to build quickly and operate with confidence.

From codifying infrastructure using Terraform to leading DevOps initiatives and building internal tooling, you'll play a critical role in shaping how Kognitos ships software and scales systems.

What You'll Do

• Own and evolve our Infrastructure as Code systems using Terraform

• Design and maintain scalable, cloud-native infrastructure (primarily AWS)

• Build and improve CI/CD pipelines using GitHub Actions and other tools

• Lead monitoring and observability efforts using tools like Prometheus, Grafana, and Datadog

• Improve internal tooling to streamline developer workflows and automate manual processes

• Champion reliability, security, and performance across our systems

• Mentor other engineers and promote DevOps best practices across the organization

What We're Looking For

Technical Skills

• 5-8+ years in Infrastructure, SRE, DevOps, or Developer Productivity roles

• Deep experience with Terraform and other Infrastructure as Code tools

• Strong knowledge of cloud platforms (AWS, GCP, or Azure)

• Proficiency with container technologies (Kubernetes, Docker)

• Solid scripting or automation experience (Python, Bash, or Go)

• Experience with CI/CD systems and practices (GitHub Actions, Jenkins, etc.)

Soft Skills

• Proven ability to take ownership and lead infrastructure projects end-to-end

• Strong communicator who can work across teams and technical levels

• Highly organized, detail-oriented, and adaptable in a fast-paced environment

Nice to Have

• Experience with observability and alerting tools (Prometheus, Grafana, Datadog)

• Exposure to security automation or compliance tooling

• Prior experience at a startup or on high-growth engineering teams

Final note

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal opportunities provider

Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.