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 want people who are passionate about building features that you and your peers will love.DigitalOcean is welcoming a new technical engineering manager to support our engineers, grow our culture, and lead the team developing our customer and platform engineering product offerings. This person will be responsible for guiding the development of a mixed-skill engineering team, facilitating communications, providing clarity of vision and priority, and empowering the team to create creative solutions for our DigitalOcean customers.
The teams mission is to simplify the customer and developer experience so they can focus on building and operating their applications to Get Growing.We are excited to meet candidates who share our passions for technology solutions, healthy services, and being loving service providers, team members, and leaders.
- Develop the control plane for a cloud DBaaS platform
- Build highly scalable distributed systems at scale
- Build and operate specific database engine controls to provision, destroy, scale, and backup clusters
- Build world class telemetry and logging to provide proactive signals and alerts to both engineering teams and customers if something isn’t right
- Orchestrate complex workflows for various database engines
- Automate and create playbooks for operations related to owning and running database engines that may include minor or major upgrades, security patching, and other maintenance events
- Stay current with trends in cloud-native infrastructure, Kubernetes operators, control plane patterns, and the DBaaS competitive landscape to inform long-term technical strategy.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software engineering
- Experience delivering complex cloud-scale distributed systems, particularly in data and OLTP databases.
- Golang and gRPC experience
- Strong knowledge of K8s and deployment pipelines including Github Actions
- Preferred: Experience with orchestration engines such as Temporal
- Preferred: Operation experience with MongoDB
- Systems thinking.
- Strong opinions, weakly held.
*This job is located in Bengaluru, India
JR: 2026-7982
#LI-Hybrid
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
- We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
- We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.
- Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
- Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.
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
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of experience in software engineering
- Experience delivering complex cloud-scale distributed systems, particularly data and OLTP databases
- Golang experience
- gRPC experience
- Strong knowledge of Kubernetes and deployment pipelines
- Experience with Github Actions
- Systems thinking
- Experience with orchestration engines such as Temporal
- Operational experience with MongoDB
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental-health insurance. Feedback suggests this area stands out as a core strength of the package.
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Equity Value & Accessibility — Equity participation is emphasized through performance grants and an Employee Stock Purchase Plan. Feedback suggests these programs add meaningful value alongside base pay.
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Leave & Time Off Breadth — Time off is positioned as flexible or unlimited, with above-average parental leave highlighted across sources. Feedback suggests this flexibility supports work-life balance.
DigitalOcean Insights
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.
