Staff Software Engineer

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 druva.com and follow us on LinkedIn, X and Facebook.

About the Role:

We are looking for a curious and driven Software Engineer to join our Foundation Engineering team; the group responsible for building the core infrastructure, storage services, and platform capabilities that power our data protection and cloud SaaS offerings. This is an exciting opportunity to work on low-level systems, solve scaling challenges, and grow your expertise alongside senior engineers who have built large-scale, distributed systems.

Key Responsibilities:

• Build and enhance core microservices and platform components used by multiple product teams.

• Write clean, performant, and well-tested code in Golang or Python, following best practices in system design.

• Work with technologies like Kafka, gRPC, Redis, MongoDB, and S3 to build reliable and scalable data services.

• Contribute to monitoring, metrics, and alerting setup for services using Prometheus, Grafana, or ELK stack.

• Learn how to design for resiliency, fault tolerance, and observability from experienced engineers.

• Support CI/CD pipelines, infrastructure provisioning (Terraform, Docker), and troubleshooting.

• Participate in code reviews, design discussions, and sprint planning.

Key Skills:

• 1–4 years of hands-on software development experience in a backend or infrastructure team.

• Proficient in one or more languages like Golang, Python, or Java and comfortable with REST or gRPC APIs.

• Basic understanding of distributed systems principles, asynchronous messaging (e.g., Kafka, RabbitMQ), and cloud storage (e.g., S3, Azure Blob).

• Exposure to Linux systems, containers (Docker, Kubernetes), and cloud platforms (AWS/GCP/Azure).

• Eagerness to learn and contribute to complex, large-scale system design and performance tuning.

Desirable Skills:

• Familiarity with CI/CD pipelines, GitOps, or Infrastructure-as-Code tools like Terraform.

• Knowledge of caching strategies, monitoring/observability, or data consistency patterns.

• Experience working in Agile environments, with Git, Jira, and collaborative development tools.

Qualifications:

• B.Tech / M.Tech in Computer Science or equivalent from a top-tier engineering college (e.g., IITs, NITs, BITS, IIITs).
• Academic excellence in computer science fundamentals and a strong programming background.