Sr. Software Engineer - Platform

The Sr. Software Engineer - Platform role is responsible for building foundational infrastructure that powers the next generation of enterprise AI applications. Key accountabilities include:

• Design and implement core platform capabilities supporting secure enterprise AI adoption
• Lead technical initiatives and contribute to architecture decisions
• Own meaningful engineering projects, balancing performance, security, reliability, and delivery timelines
• Develop production-grade backend and infrastructure services with a focus on reliability, scalability, observability, and maintainability
• Create technical documentation, design proposals, and implementation plans for effective collaboration
• Mentor software engineers and support code review practices
• Partner with engineering leadership, product teams, and technical stakeholders to influence technical direction
• Incorporate AI-assisted development practices to improve engineering efficiency while maintaining high-quality standards

Requirements include:

• Experienced platform engineer with strong backend development expertise
• Proven ability to design and deliver complex distributed systems
• Deep proficiency in Go with experience building production-grade backend or platform systems
• Strong understanding of Kubernetes and container technologies, including operators, networking, and production environments
• Experience building reliable, observable systems with monitoring, testing, and operational excellence in mind
• Experience developing platform services such as gateways, registries, runtimes, deployment tooling, or similar infrastructure components
• Demonstrated technical leadership experience, including mentoring engineers and improving engineering practices
• Ability to clearly communicate complex technical concepts to both technical and non-technical audiences
• Strong problem-solving skills and the ability to make thoughtful engineering decisions in ambiguous situations
• Experience working with cloud-native technologies and modern software development practices
• Familiarity with AI infrastructure, AI development tools, or Model Context Protocol (MCP) is a plus

Benefits

• Competitive base salary ranging from $189,000 to $231,000 USD, plus equity opportunities
• Comprehensive medical, dental, and vision coverage
• Flexible paid time off and paid holidays
• Paid parental leave
• Flexible remote and hybrid work environment
• Opportunity to work on emerging AI infrastructure technologies
• Collaboration with experienced engineers and technology leaders from the cloud-native and open-source communities
• Professional growth opportunities through impactful technical ownership and mentorship
• Team offsites and opportunities to connect with colleagues in person