Senior Engineer I, Compute

DigitalOcean

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

Posted 10/12/2026full-timeRemote • Texas • 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. Proven ability to lead complex projects, mentor engineers, and enhance system architecture for 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

GRPCRESTConcurrency PatternsNetwork Performance TuningContainerizationVirtualizationLinux EnvironmentsOperational WorkflowsTroubleshootingSystem Monitoring

Soft Skills

Technical GuidanceGrowth MindsetWillingness to LearnAppetite for Feedback

Tools & Technologies

Cloud-Native InfrastructureFirecracker

Industry Keywords

Distributed Control PlaneLow-Latency Infrastructure APIsBuild PipelinesOperational BottlenecksHigh Platform Availability

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 through 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

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, concurrency patterns, and network performance tuning in Linux environments
Demonstrated ability to lead complex projects and break isolated problems into deliverable features
Experience mentoring engineers
Growth mindset and willingness to learn
Appetite for feedback
Commitment to improving 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 for eligible employees, including equity grants upon hire
Option to participate in the Employee Stock Purchase Program