Senior Software Engineer, Compute Platform

Accountabilities:

• Design, develop, and maintain high-performance infrastructure software in Go to improve scalability, latency, and availability of distributed systems.

• Build and extend Kubernetes controllers, operators, and automation systems for cluster lifecycle management and workload orchestration.

• Develop internal SDKs and tooling for compute capacity tracking, network configuration, and managed service orchestration across multi-region environments.

• Optimize cluster and system performance through intelligent scheduling, resource management, and node-level telemetry insights.

• Collaborate with cross-functional engineering teams to improve infrastructure workflows, reliability, and automation practices.

• Participate in an on-call rotation to support and ensure stability of large-scale production systems.

• Contribute to architectural decisions and provide technical guidance on distributed systems and platform evolution.

Requirements:

• 4+ years of experience building large-scale distributed systems and internet-facing infrastructure.

• Strong proficiency in Go with hands-on experience designing and operating Kubernetes-based systems in production.

• Deep understanding of Linux internals, including cgroups, namespaces, and system-level resource management.

• Experience working with multi-cloud or large-scale distributed compute environments.

• Strong systems thinking and ability to troubleshoot complex cross-system issues independently.

• Familiarity with infrastructure automation, orchestration frameworks, and platform engineering practices.

• Contributions to open-source projects, especially within infrastructure or CNCF ecosystems, are highly valued.

• Excellent communication skills and ability to work effectively in collaborative, service-oriented engineering teams.

• Strong ownership mindset with the ability to lead technical workstreams from design to production.

Benefits:

• Competitive base salary range: 190,800 USD to 267,100 USD depending on experience and location.

• Equity in the form of restricted stock units.

• Comprehensive healthcare coverage including medical, dental, and vision plans.

• 401(k) retirement plan with employer match.

• Flexible vacation policy and paid volunteer time off.

• Generous paid parental leave.

• Mental health, coaching, and wellness support programs.

• Family planning and gender-affirming care benefits.

• Global perks including professional development support and workspace flexibility.

• Remote-first flexibility with access to office spaces where available.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1