Senior Staff Software Engineer (DX)

Druva is the leading provider of data security solutions, empowering customers to secure and recover their data from all threats. The Druva Data Security Cloud is a fully managed SaaS solution offering air-gapped and immutable data protection across cloud, on-premises, and edge environments. By centralizing data protection, Druva enhances traditional security measures and enables faster incident response, effective cyber remediation, and robust data governance. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva safeguards business data in an increasingly interconnected world. Visit and follow us on,and.

Developer eXperience (DX)is a central charter within Druva responsible for providing Druva engineering an enhanced developer experience to empower them to build Druva's world class products. To provide such an experience, the DX team primarily endeavours to reduce the engineer's cognitive load by providing best in class developer environments, build systems, CI / CD tooling, hybrid cloud environments for developer workload verifications, observability, telemetry, AI enablement for developer productivity and more. DX team is responsible for delivering best-in-class DX products for Druva's engineering teams using cutting edge technology stacks.

About Role :

We are seeking aSenior Staff Software Engineerto join ourDeveloper Experience (DevEx) team. In this role, you will be instrumental in enhancing the experience of developers within our company. You will be an integral part of the team that is involved in the development of tools, processes, and systems that improve the development workflow, from local development environments to continuous integration / continuous deployment (CI / CD) pipelines, AI enabled developer workflows and enhance our product's overall usability.

The ideal candidate will have strong experience in software engineering, a passion for improving developer workflows, and a deep understanding of how to make development environments efficient, scalable, and enjoyable.

Key Responsibilities :

Tooling & Infrastructure Development : Design and develop tools, libraries, and frameworks to improve developer workflows, including build systems, CI / CD pipelines, debugging tools, and deployment automation using AI first approaches.

Improve Developer Productivity : Identify pain points in the development lifecycle and implement solutions that enhance efficiency, code quality, and deployment speed.

Collaboration with Teams : Work closely with product engineers, DevOps, and infrastructure teams to ensure smooth integration and optimization of developer-facing platforms.

Platform Usability : Build tools and interfaces that enable engineers to efficiently interact with the core product. Work to ensure that the developer experience is frictionless and scalable.

Documentation & Training : Write clear and comprehensive documentation to help developers understand and make the best use of the tools and systems you create. Provide training and support for internal teams.

Advocate for Best Practices : Champion best practices in coding standards, testing, version control, and other areas of developer productivity. Ensure continuous feedback loops from engineering teams to improve practices and processes.

Performance Monitoring & Optimization : Build and maintain monitoring systems to ensure the health of the developer tools and infrastructure, identifying opportunities for optimization and performance improvements.

Required Qualifications :

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

7 to 10 years of professional software development experience.

Strong proficiency in programming languages such as Python, Go or .

Strong understanding of Cloud technologies with demonstrated experience in AWS and / or Azure clouds.

Experience in building and maintaining scalable developer tools, CI / CD pipelines, and / or cloud-based infrastructure.

Hands-on experience with developer tooling and frameworks such as GitHub, GitLab, Jenkins, Terraform, and other modern DevOps tools.

Experience in Generative AI based developer tools like IDEs, prompt engineering, MCP and Agentic AI will be an added advantage.

Expertise in enhancing developer workflows and optimizing toolchains to improve developer productivity.

Strong problem-solving skills and ability to work with complex systems and architectures.

Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.

Preferred Qualifications :

Experience with SaaS product development and architecture.

Solid understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).

Familiarity with microservices, serverless architecture, and distributed systems.

Familiarity with Generative AI Technologies, LLMs, MCP and Agentic AI landscape.

Knowledge of security best practices related to developer tools and CI / CD pipelines.

Contribution to open-source projects, particularly those related to DevEx or cloud infrastructure.

Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog).

Why You'll Love Working Here :

Impact : You will have the opportunity to shape the development experience for a growing and dynamic engineering organization.

Innovation : Work on cutting-edge technologies and solve challenging problems in an agile, fast-paced environment.

Culture : Join a diverse, supportive, and inclusive team that values collaboration and creativity.

Growth : We provide opportunities for professional growth, learning, and leadership development.

Flexibility : We offer flexible working hours and a hybrid environment to help you achieve work-life balance.

Skills Required

Github, Go, Grafana, Datadog, Aws, Gitlab, Prometheus, Mcp, Kubernetes, Python, Azure, Docker, Terraform, Jenkins