Senior Software Engineer, Atlas Agent Engine

Accountabilities:

• Design, develop, and scale core components of a next-generation AI agent platform, including the developer CLI, SDKs, runtime, memory, retrieval, identity, and governance layers.

• Build reliable, high-performance distributed systems and cloud services capable of supporting enterprise AI applications at scale.

• Collaborate with research, product management, engineering, and design teams to deliver the platform's initial capabilities and drive its continuous evolution.

• Develop well-tested, maintainable software while contributing to architectural decisions, code reviews, and engineering best practices.

• Improve platform performance, scalability, reliability, and security across complex and highly concurrent systems.

• Contribute to developer experience and establish development practices as the platform and engineering organization grow.

• Take ownership of complex engineering projects, drive technical solutions, and ensure successful delivery.

• Mentor fellow engineers, share technical knowledge, and contribute to a collaborative and high-performing engineering culture.

Requirements:

• 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.

Benefits:

• Competitive base salary ranging from $126,000 to $264,000 USD, depending on experience, qualifications, skills, and work location.

• Equity compensation and participation in an employee stock purchase program.

• Flexible paid time off.

• 20 weeks of fully paid, gender-neutral parental leave.

• Fertility and adoption assistance.

• 401(k) retirement savings plan.

• Mental health counseling and support resources.

• Comprehensive health insurance options, including transgender-inclusive coverage.

• Employee affinity groups and opportunities to connect with diverse communities.

• A supportive, collaborative environment that encourages professional development, innovation, and continuous learning.

• Workplace accommodations throughout the recruitment and interview process for candidates with disabilities.