Tessell
Lead SRE
- Compensation
- Not disclosed
- Location
- Hyderabad
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Sre
- Posted
Skills
Must have
- Cloud Platforms (Mandatory - Multi-Cloud Preferred).
- Deep hands-on experience with: AWS RDS / Aurora, Azure SQL MI / Azure Database Services, GCP Cloud SQL / AlloyDB.
- Strong understanding of cloud networking, storage, IAM, and HA architectures.
- Strong operational knowledge of: Oracle, PostgreSQL, MySQL, SQL Server.
- Experience handling large-scale production databases (TB+ workloads).
- Performance tuning, replication troubleshooting, and backup recovery validation.
- Strong scripting: Python / Bash / Go.
- Infrastructure as Code (Terraform / ARM / CloudFormation).
- CI/CD pipelines and release automation.
- Observability stack (Prometheus, Grafana, ELK, Datadog, etc. ).
- Kubernetes exposure preferred.
- 10+ years overall experience, 5+ in SRE/Platform roles.
- Prior experience in hyperscaler environments or cloud-native SaaS products.
- Strong incident leadership and executive communication skills.
- Ability to influence cross-functional stakeholders.
- Experience building and leading SRE teams preferred.
Full description
Responsibilities:
- Own end-to-end reliability, availability, and performance of the DBaaS platform.
- Define and enforce SLIs, SLOs, and SLAs across all supported database engines.
- Lead production incident response (P1/P2), RCAs, and long-term resilience improvements.
- Drive error budget governance with Engineering and Product teams.
- Hyperscaler-Level Operational Excellence.
- Bring RDS/Cloud SQL/Azure SQL Managed Instance operational patterns into the platform.
- Implement automation-first operations (self-healing, auto-remediation, failover orchestration).
- Standardise HA/DR architectures across multi-region deployments.
- Improve backup reliability, replication integrity, and failover predictability.
- Partner with Product Engineering for deep database engine-level debugging.
- Troubleshoot complex performance bottlenecks (IO, CPU, locking, replication lag).
- Support root cause analysis involving cloud infrastructure, storage, networking, and database internals.
- Influence platform architecture for operability and reliability.
- Build unified observability across DBaaS (metrics, logs, traces).
- Define golden signals for database reliability.
- Improve proactive anomaly detection and capacity forecasting.
- Drive chaos testing and resilience validation practices.
- Lead reliability automation (runbooks code).
- Improve provisioning, patching, upgrading, and scaling reliability.
- Standardise configuration management and drift detection.
- Enhance security posture aligned to enterprise compliance needs.
- Champion SRE best practices across engineering teams.
- Establish production readiness review frameworks.
- Define release reliability gates for DBaaS components.
- Mentor junior SREs and build a reliability-first culture.
Requirements:
- Cloud Platforms (Mandatory - Multi-Cloud Preferred).
- Deep hands-on experience with: AWS RDS / Aurora, Azure SQL MI / Azure Database Services, GCP Cloud SQL / AlloyDB.
- Strong understanding of cloud networking, storage, IAM, and HA architectures.
- Strong operational knowledge of: Oracle, PostgreSQL, MySQL, SQL Server.
- Experience handling large-scale production databases (TB+ workloads).
- Performance tuning, replication troubleshooting, and backup recovery validation.
- Strong scripting: Python / Bash / Go.
- Infrastructure as Code (Terraform / ARM / CloudFormation).
- CI/CD pipelines and release automation.
- Observability stack (Prometheus, Grafana, ELK, Datadog, etc. ).
- Kubernetes exposure preferred.