Senior Engineer I, Compute

DigitalOcean

. Design and implement high-performance distributed control plane services using Go .

Posted 10/12/2026full-timeRemote • Colorado • United StatesSenior💰 $139,200 - $174,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing high-performance distributed control plane services using Go, with a strong focus on microservices architecture and operational excellence. Capable of mentoring engineers and leading complex projects while ensuring system architecture and code maintainability.

Highest-signal resume keywords

Go ProgrammingMicroservices ArchitectureDistributed Systems PrinciplesKubernetesMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Control Plane SystemsGRPCRESTNetwork Performance TuningConcurrency Patterns

Soft Skills

Technical GuidanceGrowth MindsetWillingness to LearnAppetite for Feedback

Tools & Technologies

ContainerizationVirtualizationCloud-Native InfrastructureFirecracker

Industry Keywords

Operational WorkflowsBuild PipelinesSystem MonitoringProduction Incidents

Tech Stack

Tools & technologies

CloudDistributed SystemsGRPCKubernetesLinuxMicroservicesGo

About the role

Key responsibilities & impact

Design and implement high-performance distributed control plane services using Go
Lead technical execution for complex project workstreams from design to release
Develop scalable microservice interfaces using gRPC and REST
Mentor junior and mid-level engineers through technical guidance and structured code reviews
Solve distributed systems edge cases and operational bottlenecks
Refine build pipelines, service boundaries, and operational workflows
Participate in on-call operational support and system monitoring
Troubleshoot production incidents and maintain high platform availability
Report to Mavis Franco, Manager, Software Engineering

Requirements

What you’ll need

Experience with Go, microservices architecture, and 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 and concurrency patterns
Network performance tuning in Linux environments
Ability to lead complex projects and break problems into deliverable features
Ability to mentor engineers
Growth mindset and willingness to learn
Appetite for feedback
Focus on system architecture and code maintainability

Benefits

Comp & perks

Reimbursement for relevant conferences, training, and education
Access to LinkedIn Learning's 10,000+ courses
Employee Assistance Program
Local Employee Meetups
Flexible time off policy
Bonus eligibility based on company and individual performance
Equity compensation, including equity grants upon hire
Option to participate in the Employee Stock Purchase Program