Senior Software Engineer II-GPU/Image building at DigitalOcean Droplet Limited

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GPU Infrastructure, Ubuntu, HashiCorp Packer, Ansible, Terraform, Python, Shell Scripting, CI/CD, Linux Image Building, NCCL, RCCL, System Hardening, CVE Scanning, Cloud-init, Image Optimization, Security Compliance

Industry

Software Development

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 seeking a skilled Software Engineer with expertise in GPU Infrastructure, Ubuntu operating systems, and automation to design, build, maintain, and optimize machine images across a variety of cloud platforms. In this role, you will play a key part in delivering standardized, secure, and high-performant images, including those deployed on GPU Bare Metal, GPU droplet (VM) images and CPU droplet images. You will focus on automating the image creation lifecycle, ensuring image integrity, and optimizing for performance and security. The ideal candidate brings deep experience in GPU infrastructure, automation, and test systems, along with a strong passion for building secure, scalable, and efficient machine images that power modern cloud-native applications and services. What You’ll Do: Work with key stakeholders in packaging and continuously testing our GPU images across multiple platform services. This includes coordination with hardware engineering teams on packaging firmware versions and maintaining an active compatibility matrix of GPU drivers across NVIDIA and AMD GPU platforms (H100/H200/MI300x/MI325x). Automation and Scripting: Develop and maintain tooling and scripts (e.g., using HashiCorp Packer, Ansible, Terraform, Python, Shell scripting) to automate the creation, testing, and deployment of machine images. Security and Compliance: Ensure machine images adhere to security best practices, including hardening, patch management, and compliance with organizational and industry standards (e.g., CIS benchmarks, GDPR, HIPAA). Optimization: Optimize machine images for performance, size, and boot time to enhance scalability and reduce operational costs. CI/CD Integration: Integrate machine image creation into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI for automated builds and deployments. Versioning and Documentation: Maintain version control for machine images and document configurations, processes, and best practices. Monitoring and Troubleshooting: Implement monitoring for image performance and troubleshoot issues related to image deployment and runtime in cloud environments. Stay Updated: Keep abreast of advancements in cloud technologies, containerization, and image management tools to propose and implement improvements. What You’ll Add to DigitalOcean: Strong experience with building Linux operating system images. Solid understanding of GPU related infrastructure including NCCL, RCCL testing frameworks particularly in a fabric connected environment. Hands-on experience building and managing machine images using tools like Packer, cloud-init, Ansible, Python, and shell scripting. Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI) for automating image pipelines. Strong understanding of security practices in image building (e.g., CVE scanning, secrets management, system hardening). Nice To Have: Experience in regulated environments (HIPAA, FedRAMP, SOC2, etc.) Knowledge of Immutable Infrastructure and Golden Image pipelines. Experience with configuration management tools like Chef or Puppet. *This job is located in Bengaluru, India JR: 2026-7929 #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.

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Responsibilities

Design, build, and optimize secure machine images for GPU Bare Metal and VM droplets across various cloud platforms. Automate the image creation lifecycle and maintain compatibility matrices for NVIDIA and AMD GPU drivers.