Site-Reliability Engineer

Job Description:

• Min 3-5 years of Service reliability/operation experience running large scale, high performance applications in a hybrid environment (on-prem and cloud).

• Min 3-5 years of experience writing automation scripts and building dashboards for Application Performance management to manage Transaction journeys.

• 2-4 years of Experience working with Programming languages such as Go, Python, Java, Rust etc.

• Working knowledge on with one or more databases-Oracle, PL/SQL, SQL Server, Redis, Clickhouse, postgres, Mongo or any time-series databases

• At least 2+ years of Experience transitioning platforms to the cloud and Containerization - GCP, AWS and Rancher (or Cloud Formation, Azure and OpenShift).

• Experience maintaining containerized app in GKE/RKE/AKE environments.

• Experience Implementing Cloud observability using OTEL to enable real-time monitoring, distributed tracing and incident resolution.

• Experience working with specific GraphQL Framework (Apollo, Prisma, Hasura etc...).

• Experience using knowledge of networking protocols such as TCP/IP, DNS, Load balancing and service mesh to troubleshoot issues in high pressure situations.

• Proven experience managing Application availability, building creative solutions to manage repetitive activities, improve gating and detect for applications at every touchpoint for a 24 x 7 High availability platform exposed to critical clients and customers.

• Working knowledge of Monitoring tools - Splunk, App-dynamics, grafana/Prometheus and Dynatrace.

• Experience with tools like Rally, Confluence and other CI/CD extenders.

• Hands-on experience with implementing in-memory caching solutions. Experience on Redis DB is a plus.

• Excellent debugging skills across variety of integrated technical platforms on API gateway.

• Hands-on with GCS, Cloud SQL, PL?SQL and Spanner.

• Monitor and troubleshoot HashiCorp Vault environments, ensuring minimal downtime and rapid recovery from incidents.

• Working knowledge on Vertex Al, Gen Al and Bigquery.