1,861,925open jobs
110,065companies
260,476added this week
Browse all
Salary
$139k – $174k per year
Location
Hybrid (Seattle, United States)
Seniority
Senior
Visa
H-1B filings in 12 months: 36 · green card filings: 2

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 12, 2026. DigitalOcean scores B on the Alion truth index.

Overview
Company
Impact
Profile match
DigitalOcean is a cloud infrastructure provider that offers virtual machines, managed Kubernetes, databases, storage and GPU compute for developers, startups and small and medium-sized businesses. It also provides an AI platform for inference and agents. Founded in 2012 and listed on the New York Stock Exchange, the company is headquartered in New York City, United States.

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. 

We are looking for a Senior Software Engineer I who is passionate about building features that you and your peers will love.

As a Senior Software Engineer I, reporting to Mavis Franco (Manager, Software Engineering) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. In this role, you will lead complex technical initiatives across our distributed control plane, building high-throughput microservices and core infrastructure products. You will tackle deep systems-level challenges using Go, mentor rising engineers, and drive technical execution across our low-latency distributed control plane to power the next generation of cloud compute services.

What You’ll Do:

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

What You’ll Add:

  • 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 (e.g., Kubernetes or Firecracker).
  • A 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 focused with a desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude towards system architecture and code maintainability.

Compensation Range: 

  • $139,200 - $174,000

*This is a hybrid role

JR: 2026-8130

#LI-Hybrid

Why You’ll Like Working for DigitalOcean

  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being.  Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit:  You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,861,925 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Industrial Engineering
Similar stack
Same company
Seattle
Project Engineer 1 hour ago
$71k – $89k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • San Diego
Design
SolidWorks
Apply
≈ $60k – $109k per year (Estimated) • In office • Full-Time • 3+ years exp • High School Diploma • Suffolk
Management
Microsoft Office
Apply
≈ $73k – $138k per year (Estimated) • In office • Full-Time • High School Diploma • Humboldt
Apply
≈ $66k – $125k per year (Estimated) • In office • Full-Time • 5+ years exp • Associate's Degree • Union City
Management
Outlook
Microsoft Office
Apply
≈ $54k – $98k per year (Estimated) • In office • Full-Time • 3+ years exp • High School Diploma • Sedalia
Management
Microsoft Office
Apply
$136k – $214k per year • In office • Full-Time • 5+ years exp • Philadelphia • Reston
Python
Go
Java
C++
Databases
PostgreSQL
AI/ML
Machine Learning
Frontend
GraphQL
DevOps
Rest API
CI/CD
Docker
Kubernetes
Platform Engineering
AIOps
Apply
≈ $72k – $130k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • Toronto
Java
Java
Spring Boot
Databases
Apache Kafka
DevOps
Rest API
Splunk
OpenShift
Dynatrace
Jenkins
Docker
Kubernetes
Bitbucket
Management
Confluence
Jira
Agile
Apply
≈ $9k – $25k per year (Estimated) • In office • Full-Time • 4+ years exp • Bachelor's Degree • Kochi • Bengaluru
Apex
Apex
Lightning Web Components
DevOps
Rest API
Apply
≈ $46k – $101k per year (Estimated) • Hybrid • Full-Time • Lisbon • London
Python
TypeScript
Ruby
AI/ML
Fine-tuning
VLM
TensorFlow
PyTorch
LLM
Triton
DevOps
AWS
Kubernetes
Apply
Data Engineer 2 days ago
≈ $45k – $98k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Toronto
Python
SQL
Python
pySpark
Databases
Databricks
Apache Kafka
AI/ML
Spark
Model Context Protocol
Embeddings
AI Agents
RAG
Human-in-the-Loop
LLM Guardrails
DevOps
GCP
CI/CD
Kubernetes
Google GKE
Apply
$139k – $174k per year • Equity • Remote (United States) • Denver • Seattle
Go
DevOps
Rest API
gRPC
DigitalOcean
Kubernetes
Linux
Apply
$139k – $174k per year • Equity • Remote (United States) • Boston • Seattle
Go
DevOps
Rest API
gRPC
DigitalOcean
Kubernetes
Linux
Apply
$139k – $174k per year • Equity • Remote (United States) • Austin • Seattle
Go
DevOps
Rest API
gRPC
DigitalOcean
Kubernetes
Linux
Apply
$139k – $174k per year • Equity • Remote (United States) • San Francisco • Seattle
Go
DevOps
Rest API
gRPC
DigitalOcean
Kubernetes
Linux
Apply
$250k – $312k per year • Equity • Hybrid • Seattle
Python
C++
C++
PyTorch C++
AI/ML
vLLM
CUDA Toolkit
Quantization
SGLang
AWQ
GPTQ
TensorRT
TensorRT-LLM
PyTorch
LLM
Mixture of Experts
CUDA
Triton
ROCm
CUTLASS
Speculative Decoding
DevOps
DigitalOcean
SLI/SLO/SLA
Apply
$137k – $185k per year • Equity • In office • Full-Time • 6+ years exp • Bachelor's Degree • Seattle
DevOps
AWS
Apply
$48k – $60k per year • In office • Internship • Seattle
Design
AutoCAD
Apply
$192k – $305k per year • In office • Full-Time • 5+ years exp • Master's Degree • Seattle
AI/ML
AI Agents
Machine Learning
Apply
$200k – $400k per year • Remote (United States) • 3+ years exp • Master's Degree • Seattle
AI/ML
RLHF
Prompt Engineering
Machine Learning
Apply
$143k – $193k per year • Equity • In office • Full-Time • PhD • Seattle
Python
Java
C++
Perl
AI/ML
Multimodal AI
AI Agents
LLM
Interpretability
Machine Learning
Apply
See all jobs
This is one of many
1,861,925 more open roles from verified company boards, updated every day.