Site Reliability Engineer
Scottsdale, Arizona, United States of America
Contract
2 weeks ago
Key skills
PythonJavaGoRustSQLAIBigQueryApolloNode.jsGraphQLGoogle CloudTerraformKubernetesGitHub ActionsAnsibleVaultGKEHelmRancherAPI GatewaySpannerGCSVertex AIPostgresRedisOracleSQL ServerPrismaPrometheusGrafanaSplunkOtelDynatraceGitHubService MeshCachingLoad BalancingConfluenceCI/CD
About this role
Title: SRE
Experience required: 5+
Job title: Site-Reliability Engineer
Role is onsite (5 days/wk) based out of Scottsdale, AZ
Local candidates only as the client interview is onsite
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
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