Software Engineer I
DigitalOcean · Seattle
Posted 27 days ago · $97,600.00 - $122,000.00 · Previously reposted
or apply directly on DigitalOcean's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days DigitalOcean's roles stay open a median of 45 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- Yes 68% of DigitalOcean's roles list one
- Ghost-job risk at DigitalOcean
- high 101 stale, 1 reposted of 151 open
- Hiring momentum
- 197 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from DigitalOcean's own greenhouse board since 2026-08-03. Full hiring picture for DigitalOcean.
About this role
As a Software Engineer I at DigitalOcean, you will be involved in developing features and optimizing performance for their Agentic Inference Cloud platform. Your work will include writing production-grade code in Go and Python, implementing performance enhancements, and assisting with model integration and operational excellence to ensure high uptime for critical workloads. You'll collaborate with senior engineers to deepen your understanding of complex system architectures and contribute to the overall efficiency of AI model deployment.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DigitalOcean as an employer.
What you need
- 1–3 years of software engineering experience
- Interest in ML platforms and AI techniques
- Solid understanding of at least one backend language (Python or Go preferred)
- Experience working with REST APIs
- Proactive approach to troubleshooting
- Strong communication skills and a team-first mindset
Nice to have
- Familiarity with containerization (Docker/Kubernetes)
- Experience with cloud infrastructure
What you get
- Competitive salary range
- Bonus eligibility based on performance
- Equity compensation including grants and Employee Stock Purchase Program
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's courses
- Flexible time off policy
Worth weighing
- Hybrid role requiring 3 days per week in the Seattle office
- Salary range provided but no specific benefits detailed for the Seattle location
Summarised from DigitalOcean's posting. Read the full original.
Listed by DigitalOcean on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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