Senior Software Engineer, Infrastructure - Platform Compute (Kubernetes)

TL;DR

Senior Software Engineer, Infrastructure - Platform Compute (Kubernetes): Building and optimizing hirify.global's Kubernetes platform to improve scalability, reliability, efficiency, and operational experience with an accent on tooling, automation, and self-healing systems. Focus on developing net-new Kubernetes capabilities, supporting critical services, and scaling backend infrastructure.

Location: Hybrid (US-based due to US-specific benefits and legal requirements, with required in-person participation for team/company offsites).

Salary: $186,065–$218,900 USD

Company

hirify.global is building the emerging onchain platform and the future global financial system with a mission to increase economic freedom.

What you will do

• Build tooling and automation for easy and reliable Kubernetes cluster management.
• Improve developer and operational experience with Kubernetes.
• Operationalize the Kubernetes platform for automation and self-healing.
• Develop new Kubernetes-related capabilities for service owners.
• Support customers operating critical services in Kubernetes.

Requirements

• 5+ years of software engineering experience with Kubernetes or similar compute orchestration systems.
• Strong AWS and/or GCP infrastructure knowledge.
• Ability to build backend services in addition to infrastructure.
• Strong problem-solving skills and ability to identify problems, determine their root cause, and see them through to solution.
• Experience scaling backend infrastructure.
• English: B2 required.

Culture & Benefits

• Intense work culture focused on mission and high caliber colleagues.
• Hybrid work format with required in-person attendance for annual offsites.
• Medical, Dental, Vision, Health Savings Account, and 401(k) plan with company match.
• Wellness Stipend, Mobile/Internet Reimbursement, Volunteer Time Off.
• Option of getting paid in digital currency.

Hiring process

• Initial screening interviews may use an AI tool for select roles.
• AI interview intelligence platform may transcribe and summarize interview notes.
• AI is used for testing and will not make employment decisions.