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 an SRE who is passionate about automating operations, ensuring system reliability, scalability, and performance through engineering and monitoring
As an SRE at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. [insert more about the role, who it reports to, the team it leads, and what the ideal person will become.
- Design, automate, and maintain scalable, reliable infrastructure.
- Implement monitoring, alerting, and incident response processes.
- Optimize system performance, capacity planning, and cost efficiency.
- Automate deployments, CI/CD pipelines, and infrastructure as code.
- Troubleshoot production issues, conduct root cause analysis, and improve system resilience.
- Collaborate with developers to enhance reliability and performance.
Service Uptime (SLA/SLO adherence) – Ensuring high availability and minimal downtime.
MTTR (Mean Time to Recovery) – Reducing the time taken to resolve incidents.
MTTD (Mean Time to Detect) – Minimizing the time to identify issues.
Change Failure Rate – Measuring the percentage of failed deployments.
Incident Frequency & Severity – Tracking recurring issues and their impact.
Latency & Performance Metrics – Ensuring optimal response times.
Automation Coverage – Percentage of manual processes replaced by automation.
- Experience: 3+ years in SRE, DevOps, or related roles.
- Cloud Expertise: Hands-on experience with AWS, GCP, or other cloud platforms.
- Automation & Infrastructure as Code: Proficiency in Terraform, Ansible, or similar
tools. - Monitoring & Observability: Familiarity with Prometheus, Grafana, Datadog, or similar
tools. - Containerization & Orchestration: Experience with Kubernetes, Docker, or related
technologies. - Programming Skills: Proficiency in Python, Go, or Bash scripting.
- Incident Management: Strong problem-solving skills with a focus on root cause
analysis.
- 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.
- We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. 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.
*This job is located in Hyderabad, India
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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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Employees work remotely.
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.
