Site Reliability Engineer (SRE)

We have positions for SRE to be filled with our portfolio and it is a hybrid position, preferably at Shea, AZ immediately.

Interview would be conducted in multiple rounds with different set of panels focused on Technical Skills & Experience. Kindly request to perform early screenings on your end, to avoid delay and valuable time from the panel .

We are seeking a Site Reliability Engineer with strong experience in cloud-native operations, observability, automation, and production support for large-scale enterprise applications.

Skillset required:

• 3-5 years of experience in Site Reliability Engineering, Production Operations, or Platform Engineering supporting large-scale, high-performance applications across hybrid environments (on-premises and cloud).
• 3-5 years of experience developing automation scripts and building Application Performance Management (APM) dashboards to monitor end-to-end transaction journeys.
• Hands-on programming experience (2+ years) with one or more languages such as Go, Python, Java, or Rust.
• Working knowledge of relational and NoSQL databases including Oracle, SQL Server, PostgreSQL, MongoDB, Redis, ClickHouse, PL/SQL, or time-series databases.
• Experience with cloud migration and containerization initiatives using GCP, AWS, Azure, Rancher, OpenShift, or similar platforms.
• Experience managing containerized applications in Kubernetes environments such as GKE, RKE, or AKS.
• Strong experience implementing observability solutions using Open Telemetry (OTEL), distributed tracing, monitoring, and incident management.
• Familiarity with GraphQL frameworks such as Apollo, Prisma, or Hasura.
• Strong networking fundamentals including TCP/IP, DNS, load balancing, and service mesh technologies.
• Experience participating in 24x7 on-call rotations and meeting incident response SLAs.

Preferred Qualifications:

• Experience managing highly available, customer-facing platforms with a focus on reliability, automation, and operational excellence.
• Hands-on experience with monitoring and observability tools such as Splunk, Dynatrace, AppDynamics, Grafana, and Prometheus.
• Experience with CI/CD and Agile tools such as Rally, Confluence, and related DevOps platforms.
• Knowledge of in-memory caching technologies, especially Redis.
• Strong troubleshooting and debugging skills across distributed systems and API gateway architectures.
• Experience with Google Cloud services including GCS, Cloud SQL, Spanner, and BigQuery.
• Experience supporting HashiCorp Vault environments.
• Exposure to Vertex AI, Generative AI, and cloud-based analytics platforms.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : Yes

Drug Screen : No