Staff Engineer - Database Reliability Engineering
FreshworksHyderabad,Posted 26 March 2026
Job Description
oles & Responsibilities
End-to-End Reliability & Operations
Take full ownership of availability, latency, scalability, and durability across all services and databases. Define and enforce Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets for critical systems. Lead incident response protocols, conduct blameless Root Cause Analyses (RCAs), and drive systemic fixes to improve MTTR and MTTD. Build production readiness frameworks and establish best practices for capacity planning, deployments, rollbacks, and change management.
Database Reliability & Architecture
Ensure the end-to-end reliability of relational databases, NoSQL databases, caching layers, and streaming platforms. Design highly available, multi-region architectures, implementing robust cross-region replication and failover mechanisms. Formulate and implement comprehensive backup, restore, and disaster recovery (DR) strategies. Lead system design reviews with a strict focus on fault tolerance, scalability bottlenecks, data partitioning, and sharding.
Platform Automation & Tooling
Build and evolve internal platforms for database provisioning, lifecycle management, and service deployment. Champion Infrastructure as Code (IaC) and GitOps practices to reduce operational toil through automation and self-healing systems. Define golden signals (latency, traffic, errors, saturation) and build comprehensive observability and tooling across the application, infrastructure, and database layers. Develop reusable frameworks for failover automation, chaos testing, and reliability validation.
Performance, Cost & Security
Optimize system performance and drive cost efficiency across cloud infrastructure (compute, network, storage) and database usage (IOPS, replication, backups). Ensure systems comply with rigorous security and governance standards by implementing access controls, encryption (at rest and in transit), and audit logging.
The Impact You Can Create
As a Staff Engineer (IC4), you will act as a technical leader across the infrastructure, platform, and data layers. By blending Site Reliability Engineering (SRE) and Database Reliability Engineering (DBRE), you will:
Drive the organization-wide reliability strategy and solve highly ambiguous, high-impact engineering problems. Influence system architecture across multiple teams, guiding product teams on resilient architecture patterns. Raise the overall engineering standards through mentorship, design leadership, and by operating with high ownership and autonomy.
Skills
Cloud & Architecture: Strong expertise in distributed systems, multi-region architectures, Disaster Recovery (DR), and cloud platforms (AWS preferred).
Databases & Streaming: Deep knowledge of Relational DBs (MySQL, PostgreSQL, Aurora), NoSQL (DynamoDB, Cassandra), Caching (Redis), and event-driven streaming systems (Kafka).
Programming: Proficiency in coding with Python, Go, or Java.
Systems & Observability: Strong understanding of Linux internals, networking, and storage systems, alongside hands-on experience with observability stacks like Prometheus, Grafana, and Datadog.
Qualifications
Experience: 10+ years of professional experience in SRE, DBRE, Infrastructure, or Platform Engineering.
Technical Mastery: Proven hands-on experience managing high-scale production systems, reliability engineering, and complex incident management.
Bonus / Preferred: Previous experience building Database-as-a-Service (DBaaS) offerings or robust internal platform engineering systems is highly preferred.
Success Measures
Your impact in this role will be measured by the following outcomes:
Delivering a measurable improvement in overall system uptime and reliability. Driving a demonstrable reduction in incident frequency and Mean Time To Recovery (MTTR). Increasing system automation, resulting in significantly reduced operational toil. Achieving improved database performance alongside measurable cost effici ... (truncated, view full listing at source)
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