Site Reliability Engineer (SRE)-Scottsdale, AZ (Onsite)-Must have experience in Google Cloud Platform, Kubernetes, Containerization, Terraform, CI/CD (GitHub Actions), Helm, Python, Ansible, Node.js, Prometheus, Grafana, Linux troubleshooting, and cloud observability.

Interview process:

- 1 level of internal evaluation with Cognizant

- 3 Levels of Client Interviews (2 Telephonic and 1 In person). Last round in person interview can either be in Richardson, Texas or Scottsdale, Arizona. Travel cost for in person interview will not be reimbursed.

Job title: Site-Reliability Engineer

Role is onsite (5 days/wk) based out of Scottsdale, AZ

Required Skills

· Service reliability/operation experience running large-scale, high-performance applications in a hybrid environment (on-prem and cloud).

· Experience in writing automation scripts and building dashboards for Application Performance management to manage Transaction journeys.

· Experience working with Programming languages such as Go, Python, Java, Rust etc.

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

· Experience in transitioning platforms to the cloud and Containerization – Google Cloud Platformand Rancher

· 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.

Preferred Skills:

· Proven experience managing Application availability, building creative solutions to manage repetitive activities, improving 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, Spanner and Firestore.

· Extensive experience in Enterprise level Infrastructure and Operations.

· Experience in High Availability and distributed systems, Linux and Windows administration, troubleshooting and support.

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

· Working knowledge on Vertex AI, Gen AI and Bigquery

Mandatory skills:

· Google Cloud Platform (Google Cloud Platform) Containerization, Kubernetes

· Infrastructure as Code (Terraform), CI/CD (GitHub Actions), and Helm

· Automation and scripting using Python, Ansible, and Node.js

· Monitoring and observability with Prometheus and Grafana

· Linux systems and troubleshooting