h3 Technologies
Needs to be local to AZ
Skillset:
- 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, HTTP, 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 AI, Gen AI and Bigquery.