About the role
from listingAbout Druva:
You won't just join a company at Druva; you'll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.
Our momentum is backed by the market: Druva was named a Leader in the 2026 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms , a Leader in the IDC MarketScape for Cyber-Recovery , and a Leader & Outperformer in the GigaOm Cloud Data Protection Radar . Even better, customers validate that leadership every day through standout Net Promoter Scores (NPS) and Gartner Peer Insights ratings. Today, the platform protects over 450PB of customer data across 26 global regions and runs more than 7 billion backups a year .
Visit druva.com and follow us on LinkedIn, X, and Facebook.
Team & Mission: Druva Product Platform
The Druva Product Platform team builds the shared core SaaS foundation that every Druva product line runs on. We build and operate the multi-tenant control plane, distributed APIs, tenant lifecycle and provisioning pipelines, Identity & Access Management (IAM/RBAC), distributed job orchestration, usage metering, and platform observability.
When a new workload or product capability ships at Druva, it ships on top of what this team owns. That makes the work high-leverage and high-blast-radius: our services are multi-tenant, globally distributed, always-on, and measured against strict availability and latency objectives at a scale of thousands of enterprise customers and billions of operations per year.
Role Overview
As a Senior Software Engineer (Development) on the Druva Product Platform team, you will be a core backend engineer responsible for designing, developing, scaling, and operating critical multi-tenant microservices and APIs. You will own complex technical deliverables end-to-end—from architectural documents and high-performance Go/Python implementations to automated CI/CD deployments and production telemetry.
This is a hands-on individual contributor role for an engineer who thrives on distributed systems challenges, concurrency, high data throughput, and building foundational platform services that empower other engineers.
Key Skills:
5–8+ years of hands-on experience in software product development, building high-scale distributed systems and SaaS backends.
Strong proficiency in Go (Golang) and/or Python , with deep understanding of concurrency (goroutines/async I/O), memory management, and data structures.
Solid experience in designing, building, and maintaining microservices and REST/gRPC APIs in high-throughput multi-tenant environments.
Deep hands-on experience with AWS Cloud services (such as EKS, EC2, S3, DynamoDB, RDS, SQS, SNS, Lambda) and containerization ( Docker, Kubernetes ).
Strong database expertise across relational engines (PostgreSQL/MySQL) and distributed NoSQL databases (DynamoDB, Redis, Elasticsearch).
Proven experience with event-driven architectures and message streaming systems (Apache Kafka, AWS SQS/EventBridge).
Demonstrated ownership of services in production: telemetry/instrumentation (Prometheus, OpenTelemetry, Datadog), SLI/SLO monitoring, on-call support, and root cause analysis (RCA).
Solid commitment to lean engineering practices: automated unit/integration testing, CI/CD pipelines, and rigorous peer code reviews.
Desirable Skills:
Demonstrated experience building multi-tenant platform primitives: tenant isolation, rate limiting/token buckets, quota management, and schema migrations.
Domain expertise in data protection, backup/recovery, storage systems, virtualization, or cyber resilience (RPO/RTO).
Knowledge of enterprise authentication and authorization standards (OAuth 2.0, SAML, OIDC, RBAC/ABAC, mTLS).
Exposure to AI/LLM integration patterns (vector search, prompt engineering pipelines, LLM agent integration).
Experience in high-growth, fast-paced SaaS product environments.
Role and Responsibilities:
Architect, implement, and maintain high-performance, resilient microservices in Go/Python that serve as the backbone for Druva's SaaS platform.
Design clean, backward-compatible, secure RESTful and gRPC APIs consumed by internal product engineering teams and enterprise customers.
Author clear technical design documents evaluating architectural trade-offs across latency, consistency, scalability, and cost.
Optimize database queries, caching strategies, and data models across PostgreSQL, DynamoDB, and Redis for sub-millisecond responsiveness.
Drive production operational excellence: set up granular telemetry (metrics, traces, logs), define SLOs, and participate in on-call incident response.
Conduct blameless root cause analyses (RCAs) for production issues and ship permanent software mitigations to eliminate recurring failure modes.
Partner with Product Managers, Architects, and Quality Engineers to break down business requirements into deliverable engineering milestones.
Champion code quality and engineering best practices: perform in-depth code reviews and maintain high automated test coverage (>85%).
Mentor and coach junior engineers, fostering technical excellence, design rigor, and continuous learning across the team.
Qualification:
B.Tech / B.E / M.E / M.Tech in Computer Science, Information Technology, or equivalent practical experience.