Posted:4 days ago|
Platform:
Work from Office
Full Time
Design and implement tools to improve availability, latency, scalability, and system health.
Define SLIs/SLOs, manage error budgets, and drive performance engineering efforts.
Build and maintain automated monitoring, alerting, and remediation pipelines.
Collaborate with engineering teams to improve reliability by design.
Lead incident response, root cause analysis, and blameless postmortems.
Champion observability across services logs, metrics, traces.
Contribute to infrastructure architecture, automation, and reliability roadmaps.
Advocate for SRE best practices across teams and functions.
4-12 years of experience in SRE, DevOps, or Production Engineering roles.
Extensive hands-on experience of 4-12 Years with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and distributed NoSQL systems (e.g., Cassandra, MongoDB, DynamoDB).
Proven track record of designing and operating databases in large-scale cloud-native environments (AWS, GCP, Azure).
Strong programming skills in Python, Go, or Bash for building infrastructure tooling and automation frameworks.
Expertise with Infrastructure as Code (Terraform, Helm, Ansible) and Kubernetes for managing production database systems.
Deep knowledge of database replication, clustering, backup/restore, and failover techniques.
Advanced experience with observability tooling (Prometheus, Grafana, Datadog, New Relic) for monitoring distributed databases.
Strong communication skills and ability to influence across teams and levels.
Degree in Computer Science, Engineering, or related field.
Experience building and scaling services in production with high uptime targets (99.99%+).
Clear track record of reducing incident frequency and improving response metrics (MTTD/MTTR).
Strong communicator who thrives in high-pressure environments.
Passionate about automation, chaos engineering, and making things just work.
Freshworks
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