Senior Engineer I, Compute

LinuxCareers; Seattle, Northern (WA, KY); Hybrid; USD 139,000 - 174,000; Full time

Benefits offered by this job

Stock options

Employee Stock Purchase Program

Professional development reimbursement

LinkedIn Learning access

Flexible time off

Job summary

DigitalOcean is seeking a Senior Engineer I, Compute to join their cloud infrastructure team. You will design and implement high-performance distributed control plane services, lead complex initiatives, and mentor junior engineers while building core infra products powering their cloud platform.

You will work with Go, Kubernetes, and modern cloud-native tech to deliver low-latency, fault-tolerant orchestration across core compute infrastructure, while driving scalability and platform resilience.

Qualifications

• Experience with Go, microservices, and distributed control plane systems or low-latency APIs.
• Containerization, virtualization, or cloud-native infra tech such as Kubernetes or Firecracker.
• Deep understanding of distributed systems, concurrency, and Linux network performance.
• Ability to lead projects, break problems into features, and mentor engineers.

Responsibilities

• Design and implement high-performance distributed control plane services using Go.
• Lead technical execution for complex projects from design to release.
• Develop scalable microservice interfaces via gRPC and REST.
• Mentor junior engineers through code reviews and guidance.
• Solve edge cases in distributed systems to maximize uptime and resilience.
• Participate in on-call support and monitoring to troubleshoot incidents.

Skills

Go

Microservices

Distributed systems

Linux performance tuning

Kubernetes

Containerization

Firecracker

Concurrency patterns

Leadership

Mentoring

Growth mindset

Tools

Kubernetes

Docker

Firecracker

Job description

DigitalOcean is seeking a Senior Engineer I, Compute to join their cloud infrastructure team. In this role, you will design and implement high-performance distributed control plane services, lead complex technical initiatives, and mentor junior engineers while building core infrastructure products that power their cloud computing platform.

What You\'ll Do

• Design and implement high-performance distributed control plane services using Go to ensure low-latency and fault-tolerant orchestration across core compute infrastructure
• Lead technical execution for complex project workstreams from design to release to deliver predictable business outcomes on targeted timelines
• Develop scalable microservice interfaces using gRPC and REST to streamline communication and maintain reliable service contracts across distributed systems
• Mentor junior and mid-level engineers through technical guidance and structured code reviews to elevate team execution and code quality standards
• Solve complex distributed systems edge cases and operational bottlenecks to optimize platform resilience and maximize system uptime
• Participate in on-call operational support and system monitoring to troubleshoot production incidents rapidly and maintain high platform availability

What You Need

• Experience with Go, microservices architecture, and building distributed control plane systems or low-latency infrastructure APIs
• Experience with containerization, virtualization, or cloud-native infrastructure technologies such as Kubernetes or Firecracker
• Deep understanding of distributed systems principles, concurrency patterns, and network performance tuning in Linux environments
• Demonstrated ability to lead complex projects, break isolated problems into deliverable features, and mentor engineers to drive team efficiency
• Growth mindset with a desire to learn, appetite for feedback, and commitment to leaving systems better than you found them

Salary range $139,200-$174,000 base; eligible for bonus based on company and individual performance; equity compensation including stock options and Employee Stock Purchase Program participation; professional development reimbursement for conferences, training, and education; LinkedIn Learning access; Employee Assistance Program; flexible time off policy