Senior Site Reliability Engineer (SRE)

Role: Senior Site Reliability Engineer (SRE) – Java / Kubernetes / Azure
Location: Phoenix, AZ (Day 1 Onsite)
Job Type: Full-Time
Pay Rate Range: 105k - 125k/ year

Key Responsibilities:

• Provide senior-level SRE support, ensuring system reliability, availability, and operational excellence across all environments.
• Develop and maintain services and automation scripts using Java as the primary programming language.
• Build, deploy, and optimize workloads running on Kubernetes clusters (including multi-cluster and federated deployments).
• Manage and enhance cloud infrastructure leveraging Azure services and best practices.
• Work with Linux/Unix systems and develop automation using BASH shell scripting.
• Build automation and tooling using Python or Go.
• Design, implement, and maintain CI/CD pipelines using GitLab CI/CD and Jenkins.
• Support application streaming, event processing, and analytics using Kafka Stream Generator, KSQLDB, and Spark Streams.
• Work with service mesh technologies including Istio and understand Anthos Service Mesh.
• Utilize VMware and other virtualization platforms for environment provisioning.
• Provide robust incident support, root-cause analysis, and production issue resolution.
• Implement eBPF-based observability and performance troubleshooting where applicable.
• Develop and enhance monitoring and alerting systems using Splunk, Prometheus, Datadog, and Kiali.
• Configure and manage Nginx Controller and Seesaw load-balancing.
• Use Terraform for infrastructure-as-code and Docker for containerization.
• Manage Kubernetes storage using Portworx.
• Automate repetitive operational tasks and contribute to platform stability and efficiency.
• Provide support across all US time zones, including rotational shifts, weekends, and occasional 24/7 escalations.

Required Skills & Qualifications:

• Extensive experience in incident response, troubleshooting, performance engineering, and service reliability.
• Ability to automate manual operational tasks.
• Strong understanding of monitoring, alerting, and observability practices.
• Java (Proficient) – Must be hands-on in building, supporting, and optimizing Java-based systems and microservices.
• Kubernetes (Hands-on) – Deployment, autoscaling, federation, ingress, storage, service mesh, and cluster operations.
• Azure (Highly Proficient) – Strong experience across Azure compute, networking, storage, DevOps, and security features.
• Functional languages proficiency: Prolog, Haskell, OCaml.
• Knowledge of Linux/Unix internals and BASH scripting.
• Strong experience with Python or Go.
• VMware and virtualization technologies.
• Kafka ecosystem tools: Kafka Stream Generator, KSQLDB, Spark Streams.
• Experience with Istio/Anthos Service Mesh.
• Familiarity with eBPF for low-level observability.
• Monitoring tools: Splunk, Prometheus, Datadog, Kiali.
• Load balancing with Nginx Controller and Seesaw.
• Docker and Terraform expertise.
• Experience working with Portworx for Kubernetes storage.

Certification Required:

• Azure
• Kubernetes