Senior Software Engineer, Atlas Agent Engine

As a Senior Software Engineer, you will play a key role in building and scaling an innovative AI agent development platform designed for enterprise environments. You will contribute to the core distributed systems that enable AI agents to operate reliably, securely, and at scale using real-time operational data. Working across runtime infrastructure, memory, retrieval, identity, and governance, you will help transform AI agent applications from prototypes into production-ready solutions. You will collaborate closely with engineering, research, product, and design teams to shape the platform's architecture and evolution. This is an opportunity to tackle complex technical challenges, influence developer experience, and build foundational technology at the forefront of AI innovation.

• At least 5 years of experience building distributed systems, large-scale computing infrastructure, or foundational cloud services.

• Strong experience designing and developing core components of high-scale data platforms, distributed systems, or databases.

• Proficiency in software engineering fundamentals, including system design, algorithms, debugging, testing, performance optimization, and concurrent programming.

• Experience maintaining and evolving large, long-lived software codebases.

• Interest or practical experience working with Go, Python, and TypeScript.

• Demonstrated ability to identify complex technical challenges, develop effective solutions, and deliver projects in distributed systems or database environments.

• Strong understanding of computer science fundamentals and the ability to make sound architectural and engineering decisions.

• Excellent written and verbal communication skills, with the ability to explain technical concepts and collaborate effectively across multidisciplinary teams.

• A proactive, curious, and collaborative mindset, with a strong willingness to learn, mentor others, and take ownership of technical outcomes.

Nice to have:

• Experience with AI frameworks, agent development tools, or production AI systems.

• Familiarity with emerging open standards and protocols such as MCP and A2A.

• Knowledge of multi-tenant security, enterprise authentication, and identity management.

• Experience building enterprise-grade cloud platforms or AI infrastructure.