Software Engineer II - Managed Kubernetes products
DigitalOcean · Posted Oct 2
Cloud infrastructure, virtual machines, managed database, and AI inference services
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About the role
DigitalOcean's App Platform and Functions engineering team builds and operates the company's managed PaaS and serverless compute products, which run customer workloads on Kubernetes-backed multi-tenant infrastructure and increasingly support AI and agent workloads. The role sits on the control plane and runtime systems that create, update, deploy, and operate customer apps and functions. As a Software Engineer II, you will implement features and bug fixes in Go, contribute to gRPC/HTTP APIs and reconciliation loops, work on Kubernetes runtime and serverless performance, and take part in on-call and production operations.
What you will do
- Build & Extend: Implement features and bug fixes across App Platform and Functions services in Go, working within established architectural patterns and contributing to a high-reliability, multi-tenant platform.
- Control Plane & APIs: Contribute to gRPC and HTTP APIs, reconciliation loops, and lifecycle workflows that create, update, deploy, and operate customer apps and functions at scale.
- Kubernetes Runtime: Work with Kubernetes-backed infrastructure—deployments, networking, autoscaling, and cluster-facing controllers—to improve how workloads are scheduled, isolated, observed, and healed.
- Serverless & Scale: Help improve Functions runtime behavior, including cold-start/warm-path performance, isolation, reliability, and operational tooling for event-driven workloads.
- Operate What You Build: Participate in on-call rotations, investigate production issues, write runbooks, and develop ownership of the services you contribute to.
- Learn & Grow: Partner with senior engineers to deepen your understanding of distributed systems, Kubernetes internals, and PaaS/serverless architecture—building the skills to take on increasing ownership over time.
- Collaborate Cross-Functionally: Work with teammates across App Platform, Functions, Edge, Networking, and adjacent product teams to understand how your work fits into the broader cloud platform.
- Engineering Excellence: Write unit and integration tests, participate in code reviews, leave code cleaner than you found it, and help raise the bar on reliability and operability.
Skills used in this role
What the employer is looking for
- Experience: 2–4 years of software engineering experience, with a strong foundation in building and shipping production services.
- Language Proficiency: Proficiency in Go, or a strong background in another typed systems language with demonstrated ability to ramp quickly.
- Kubernetes Familiarity: Working knowledge of Kubernetes concepts (Deployments, Services, Controllers/Operators, resource limits, networking basics); hands-on experience deploying or operating workloads on Kubernetes is a plus.
- Systems Thinking: Understanding of how distributed systems work—replication, latency trade-offs, failure modes, reconciliation—and curiosity to go deeper.
- Cloud Native: Exposure to containerized environments, microservices, and SQL databases (MySQL/Postgres); experience with gRPC is a plus.
- Problem Solver: Comfort working through ambiguous bugs and production issues, and a habit of leaving systems more observable and operable than you found them.
- Communication: Ability to clearly document your work, ask good questions, and collaborate effectively with teammates and stakeholders.
Preferred qualifications
- Experience with PaaS, serverless platforms, or multi-tenant control planes.
- Familiarity with service meshes, CNI networking, autoscaling, or scale-to-zero patterns.
- Exposure to event-driven systems, webhooks, or function/runtime isolation (containers, gVisor, or microVMs).
- Experience with Terraform, CI/CD pipelines, or Prometheus-based observability.
- Prior on-call experience for production services.
Benefits and support
- 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 in addition to base salary, with amounts determined based on company and individual performance
- Equity compensation for eligible employees, including equity grants upon hire and the option to participate in the Employee Stock Purchase Program
About DigitalOcean
DigitalOcean is an American cloud infrastructure provider and AI-native cloud platform built for developers, startups, and small-to-medium-sized businesses. The company provides simple, scalable virtual machines, managed databases, Kubernetes, and specialized inference engines designed to run modern application and agentic AI workloads.
- Industry
- Cloud Computing
- Company size
- 1001-5000 employees
- Founded
- 2011-06-24
- Location
- Broomfield, Colorado, USA
- Funding stage
- Public Company
Funding
Public Company · $174M raised
- 2013-07-01Seed$3.2M
- 2014-03-01Series A$37.2M
- 2014-12-01Debt Financing$50M
- 2015-07-01Series B$83M
- 2016-04-01Debt Financing$130M
- 2020-05-01Venture Round$50M
- 2021-03-24IPO$775.5M
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Technology Officer
Chief Marketing Officer
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