Senior Software Engineer I, Compute

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Build and lead high-performance distributed control plane services for DigitalOcean’s cloud compute infrastructure using Go. Responsibilities include developing microservices with gRPC and REST, solving distributed systems and performance challenges, mentoring engineers, leading technical initiatives, improving architecture and operational workflows, and supporting production systems through monitoring and on-call response.
Summary Generated by Built In

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 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.

*This job is located in Bengaluru, India

JR:  2026-8174

#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.

Skills Required

  • Experience with Go
  • Experience with microservices architecture
  • Experience building 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 and concurrency patterns
  • Experience with network performance tuning in Linux environments
  • Ability to lead complex technical projects and deliver features
  • Ability to mentor engineers and provide technical guidance through code reviews
  • Growth mindset and commitment to code maintainability

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is described as market‑leading across medical, dental, vision, and mental health, with above‑average employer contributions and 100% employer‑paid life, AD&D, and disability insurance. Some materials note fully paid health benefits for employees in certain locations, though details vary by region.
  • Equity Value & Accessibility Employees are offered company equity alongside an Employee Stock Purchase Plan (ESPP) that enables discounted share purchases, with references to performance equity grants as part of total rewards. This ownership component complements competitive cash pay and bonuses highlighted in company materials.
  • Parental & Family Support Parental benefits are positioned as above‑average, with references to fully paid parental leave (e.g., 10 weeks in newer listings) and a part‑time transition‑back program. Fertility and parenthood support such as Carrot is also called out.

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.

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DigitalOcean Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.

Typical time on-site: Not Specified
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HQBroomfield, CO
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Seattle, WA
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Hyderabad, Telangana
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