Staff 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.

We’re looking for a Senior Infrastructure engineer to help us streamline and optimize our development processes, making a significant impact on both developer efficiency and overall system reliability.

Role Overview:

In this hybrid role, you will work at the intersection of Developer Productivity and Site Reliability Engineering (SRE). You’ll be responsible for improving developer workflows, building tools to automate repetitive tasks, and ensuring our systems are robust, reliable, and performant. Your role is crucial in helping developers at Kognitos ship features faster while maintaining high system availability.

Key Responsibilities:

• Serve as a bridge between development and operations teams, promoting a DevOps culture.

  • Provide mentorship on development best practices and DevOps tools to support our engineering culture of continuous improvement.

Qualifications:

• Technical Skills:

  • Proven experience in Developer Productivity Engineering or SRE roles.

  • Proficiency with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).

  • Familiarity with Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.

  • Strong scripting and automation skills (Python, Bash, or similar).

• Soft Skills:

  • Strong problem-solving abilities and attention to detail.

  • Ability to work collaboratively in cross-functional teams, communicating effectively with technical and non-technical stakeholders.

  • Adaptability and willingness to learn new tools and technologies.

Preferred Experience:

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

• Familiarity with CI/CD tools and best practices, especially GitHub Actions, Jenkins, or equivalent.

• Previous work in a startup environment or on rapid-growth engineering teams is a plus.

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.