---
title: 'Senior Full Stack Engineer (Backend) at DigitalOcean'
canonical: 'https://feeny.ai/job/senior-full-stack-engineer-backend-digitalocean-bengaluru-q2m8z530q67a'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Full Stack Engineer (Backend) at DigitalOcean

- **Company:** DigitalOcean
- **Location:** Bengaluru, India
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-08
- **Apply:** https://www.digitalocean.com/careers/position/apply/?gh_jid=8165867

## Job description

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 highly motivated Senior Full Stack Engineer with 5+ years of professional experience to join our engineering team. The ideal candidate is a self-driven engineer who can independently design, develop, and deliver high-quality software across both frontend and backend systems. This role requires strong technical expertise, ownership, and the ability to collaborate effectively with cross-functional teams in a cloud-native environment.

Key Responsibilities:

- Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and operational automation across Linux environments.
- Develop custom Ansible modules and plugins in Python to extend automation capabilities for specialized use cases.
- Automate server management and operational tasks using Python and Bash scripting.
- Design infrastructure architecture for new services and platforms, including networking, scalability, high availability, and security considerations.
- Design, build, and maintain CI/CD pipelines using Jenkins and GitHub Actions, including deployment automation for microservices.
- Manage Kubernetes (EKS) clusters end to end, cluster provisioning, version upgrades, node group management, RBAC, Helm charts, ingress, autoscaling, and workload optimization.
- Streamline Kubernetes deployments using GitOps practices with ArgoCD and Argo Workflows.
- Write and maintain infrastructure as code using Terraform, provision and manage infrastructure on AWS and other cloud providers.
- Implement and maintain observability solutions, centralized logging, metrics collection, and monitoring/alerting systems.
- Debug and resolve production issues, participate in root cause analysis and operational reviews.
- Work with security teams to remediate vulnerabilities, manage secrets and certificates, and implement security best practices such as SSL/TLS and mTLS.
- Manage and upgrade databases and caching services including MySQL, MariaDB, PostgreSQL, and Redis.
- Perform OS lifecycle management including Linux server upgrades, patching, and image builds.
- Collaborate with development teams to integrate DevOps practices and streamline software delivery.

Qualifications:

- Bachelor's degree in Computer Science or related field.
- 5+ years of experience in software engineering with DevOps focus.
- Strong knowledge in web development, backed by at least 1 year of hands-on experience.
- Deep understanding of DevOps fundamentals and rapid software delivery practices.
- Strong knowledge of encryption, hashing, and SSL/TLS protocols.
- Proficient in networking concepts and implementing robust security measures.
- Proficiency in Python, Bash, Ansible, and Linux system administration.
- Proficiency with cloud platforms, particularly AWS.
- Knowledge of containerization concepts and Kubernetes.
- Knowledge of infrastructure as code technologies.
- Proficient in database management, including MySQL, MariaDB, and PostgreSQL.
- Excellent problem-solving skills and ability to work in a fast-paced environment.

What We're Looking For:

- A proactive engineer who takes ownership from design through production.
- Someone comfortable working across the frontend, backend, and cloud infrastructure.
- A collaborative team player with a continuous learning mindset.
- An engineer who values code quality, scalability, reliability, and operational excellence.

*This job is located in Bengaluru, India

JR: 2026-8083

#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.

## About DigitalOcean

## Company Overview
- **One-liner**: DigitalOcean provides a simple, scalable cloud platform for developers, startups, and SMBs, and is now building an AI-native cloud with inference and managed agent services.
- **Entity Type**: Public (NYSE: DOCN)
- **Headquarters**: New York, NY, USA
- **Founded**: 2012
- **Founders**: Ben Uretsky, Moisey Uretsky, Jeff Carr, Alec Hartman, Mitch Wainer

## Core Business
- **Primary industry**: Cloud computing, AI infrastructure
- **Target customers**: Developers (B2B), startups, and small-to-medium businesses (Digital Native Enterprises)
- **Mission**: “Simplify cloud and AI so builders can spend more time creating software that changes the world.” [digitalocean.com/about](https://www.digitalocean.com/about)

## Products & Services
- **Droplet**: Simple, scalable virtual machines for any workload.
- **Managed Kubernetes**: Container orchestration with easy management.
- **App Platform**: Fully managed platform for building, deploying, and scaling apps.
- **Inference Engine**: AI inference service offering over 70 models (open-weight and frontier), with serverless, dedicated, or batch inference and an Inference Router for cost optimization. [digitalocean.com](https://www.digitalocean.com/)
- **Managed Agents**: Production-ready AI agents that run on the same integrated stack as inference and infrastructure, avoiding cross-vendor hops and egress fees.
- **Core Infrastructure**: 20 data centers across 11 regions, air- and liquid-cooled GPU clusters (NVIDIA H100/H200/Blackwell, AMD Instinct MI300X/MI325X/MI350X) with 400G RoCE fabric.

## Market Standing
- **Valuation/Market Cap**: Not publicly available in provided sources (public company; check NYSE: DOCN)
- **Key Metric**: Over 640,000 customers globally; more than 1,500 employees (as of early 2026). [digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
- **Notable Investors/Partners**: As a public company, its shareholders include institutional investors. No specific partners listed in recent company materials.
- **Growth Signals**: Rapid headcount growth (1,500+ employees), strong customer base expansion (640k+), and a strategic pivot to an “agentic cloud” with new AI products in public preview.

## Competitive Advantages
- **Simplicity**: Known for developer-friendly interfaces and documentation that reduce complexity compared to larger cloud providers.
- **Integrated AI Stack**: Covers five layers (infrastructure, inference, agents, etc.) in one platform, eliminating cross-vendor integration costs and egress fees.
- **Cost-Effectiveness**: Transparent pricing and competitive latency (e.g., 3.9× higher output speed vs. AWS Bedrock, independently benchmarked on DeepSeek V3.2). [digitalocean.com](https://www.digitalocean.com/)
- **Community**: Strong open-source and developer community contributions.

## Strategic Focus
- Building the “comprehensive agentic cloud” – a fully integrated stack for AI-powered applications.
- Expanding inference and managed agent capabilities to attract digital native enterprises.
- Investing in GPU infrastructure (NVIDIA and AMD) and global data center expansion.

## Why Work Here
- **Work Model**: Offers fully remote, hybrid (three days in office), and in-office options depending on role and location. Offices in the US (Austin, Boston, Denver, SF Bay Area, Seattle), India (Hyderabad), and Pakistan (Karachi). [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Culture**: Values are Fast, Simple, Bold, Proud, Love, Community, and Growth. Emphasis on ownership, bias for action, and thinking big.
- **Compensation**: Competitive base salaries at market midpoint, annual bonus targets, performance equity grants, and an Employee Stock Purchase Plan (ESPP).
- **Benefits**: Generous wellness benefits, flexible PTO, above-average parental leave, health insurance (medical, dental, vision, mental health), 401(k) with safe harbor match, life insurance, and income protection.
- **Professional Development**: Unlimited access to LinkedIn Learning, education reimbursement for courses/certifications, book program, conference attendance, and internal learning opportunities.
- **Interview Process**: Human resume review (no bots), recruiter video call, hiring manager interview, then team interviews. Accommodations available. [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Perks**: Monthly internet/phone stipend, wellness stipend, home office setup allowance, milestone and anniversary gift programs, employee giving match via Groundswell.

## Sources
1. [DigitalOcean Careers Page](https://www.digitalocean.com/careers)
2. [DigitalOcean About Page](https://www.digitalocean.com/about)
3. [DigitalOcean Product (AI-Native Cloud)](https://www.digitalocean.com/)
4. [Why 2026 is the Year to Join DigitalOcean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
5. [DigitalOcean Open Roles](https://www.digitalocean.com/careers/open-roles)

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