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.