Senior Engineer I, Compute

DigitalOcean

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

Posted 10/12/2026full-timeRemote • Massachusetts • 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 leading complex projects, mentoring engineers, and optimizing system performance in cloud-native environments.

Highest-signal resume keywords

Go ProgrammingMicroservices ArchitectureDistributed Systems PrinciplesKubernetesGRPC

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Control Plane SystemsLow-Latency Infrastructure APIsConcurrency PatternsNetwork Performance TuningCode Reviews

Soft Skills

MentoringGrowth MindsetOpenness to Feedback

Tools & Technologies

ContainerizationVirtualizationCloud-Native InfrastructureFirecracker

Industry Keywords

Build PipelinesOperational WorkflowsSystem 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 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 code reviews
Solve distributed-systems edge cases and operational bottlenecks
Improve build pipelines, service boundaries, and operational workflows
Participate in on-call support and system monitoring to troubleshoot production incidents and maintain 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
Ability to lead complex projects, break problems into deliverable features, and mentor engineers
Growth mindset, willingness to learn, openness to feedback, and focus on 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