Staff Software 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 kindto 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 softwareyou'll help shape the future of AI-driven automation.

Job Details

Join our team and shape the future of technology

Are you ready to take on an exciting challenge in developing and maintaining cutting-edge infrastructure? At Kognitos, we're seeking passionate engineers like you to join our team and make a meaningful impact.

As a Staff Software Engineer, you'll play a crucial role in:

• Developing and maintaining our infrastructure using Python and AWS Serverless technologies.
• Collaborating with cross-functional teams to design and implement scalable and robust systems, including microservices and cloud-based architectures.
• Ensuring the reliability, scalability, and performance of our backend systems through monitoring and optimization.
• Creating and maintaining database schema and queries to support application features.
• Writing unit and integration tests to ensure code quality and reliability.
• Continuously improving our software development process by incorporating best practices and modern methodologies such as Agile, DevOps, and CI/CD.
• Investigating and troubleshooting production issues to minimize downtime and ensure smooth operations.
• Participating in architectural discussions and contributing to the development of technical solutions and best practices.
• Staying up-to-date with the latest technologies and trends in software development to recommend improvements to our technology stack.

What We're Looking For:

• A B.S. or higher degree in Computer Science/Engineering or equivalent work experience, with 5-8 years of industry experience.
• Proficiency in the Python programming language.
• Experience with modern software development practices and methodologies, including Agile, DevOps, and CI/CD.
• Experience with large-scale distributed systems, microservices, and cloud-based architectures.
• A strong understanding of software design patterns, algorithms, data structures, and database technologies.
• A natural problem solver with the ability to identify problems and lead the development of solutions.

What We Offer:

• A competitive salary and benefits package.
• Flexible working hours to support work-life balance.
• A dynamic and collaborative work environment where your ideas are valued.
• Opportunities for professional development and growth.
• An innovative culture that encourages creative thinking and problem-solving.

Join us at Kognitos and be part of a team that's shaping the future of technology. Apply now and let's build something incredible together

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.

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.