Staff Software Engineer

Sorry, this job was removed at 08:18 a.m. (CST) on Thursday, Jul 03, 2025
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Hyderabad, Telangana
Hybrid
Cloud • Enterprise Web • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
At DigitalOcean, we're not just simplifying cloud computing - we're revolutionizing it. We serve the developer community and the businesses they build with a relentless pursuit of simplicity. With our customers at the heart of what we do - and powered by a diverse culture that values boldness, speed, simplicity, ownership, and a growth mindset - we are committed to building truly useful products.
 
Position Overview:We are looking for a Staff Software Engineer to join our growing engineering team. As a Staff Engineer at DigitalOcean, you’ll be at the forefront of shaping the architecture, design, and development of critical systems that power our platform. You will take on some of the most complex and impactful engineering challenges, collaborate with teams across the company, and mentor the next generation of engineers. Your leadership and technical expertise will directly contribute to the future of our product, and your solutions will impact thousands of customers globally.
 
What You’ll Do:
  • Lead the design, development, and maintenance of core backend systems and services that power our platform.
  • Architect scalable, high-performance solutions, while ensuring security, reliability, and optimal user experience.
  • Collaborate with cross-functional teams, including product management, design, and other engineering teams, to define and deliver features that meet both business and technical needs.
  • Troubleshoot and resolve complex technical issues, providing innovative, scalable, and high-performance solutions.
  • Write and maintain high-quality, testable, and efficient code while ensuring that code reviews maintain high standards of development practices.
  • Contribute to and influence technical strategy and architecture, setting the long-term vision for the product and its infrastructure.
  • Continuously optimize the reliability, scalability, and performance of the platform through proactive problem-solving and design improvements.
  • Provide leadership in design and architecture discussions, mentoring engineers, and helping to elevate the team’s technical capabilities.
  • Take ownership of large technical projects, ensuring they are completed on time, within scope, and aligned with business objectives.
  • Participate in rotating on-call support, providing expertise in troubleshooting production issues and supporting critical systems.
What You’ll Add to DigitalOcean:
  • A degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Expertise in one or more modern programming languages (e.g., Go, Python, Ruby, Java), with a deep understanding of data structures, algorithms, and software design principles.
  • Extensive experience designing, building, and maintaining large-scale, cloud-native systems and infrastructure.
  • Proven experience in architecting and deploying production systems that are highly scalable, reliable, and secure.
  • Deep knowledge of API design, web services architecture, microservices, and distributed systems.
  • Strong leadership and communication skills, with the ability to collaborate effectively with diverse, cross-functional teams.
  • A deep commitment to writing high-quality, maintainable code, and setting best practices across the engineering organization.
  • A strong understanding of testing principles and the ability to implement comprehensive testing strategies.
  • Passion for mentoring and coaching engineers, fostering a culture of technical excellence and continuous improvement.
  • In-depth knowledge of agile development practices, CI/CD pipelines, and iterative development cycles.
  • Strong experience with advanced database concepts, such as sharding, indexing, and performance optimization.
  • Familiarity with observability and monitoring tools, such as Prometheus, Grafana, or ELK Stack, for system health and performance tracking.
  • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or similar technologies.
  • Expertise with containerization and orchestration tools, such as Kubernetes and Docker.
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.
  • 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 is role is located in Hyderabad, India

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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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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.

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