Jr. Site Reliability Engineer(SRE)

Location:

Addison, TX (Onsite)

Experience:

4 - 6

Years Role:

Full time / Permanent role

Roles & Responsibilities:

Ideal Candidate Hands-on SRE with deep OpenShift/container expertise who can independently troubleshoot issues across application, database, networking, observability, workflow orchestration, and GPU infrastructure layers while driving reliability, automation, and operational excellence. OpenShift or Kubernetes certification. Experience supporting large-scale distributed systems 5+ years of experience in Site Reliability Engineering (SRE),

Production Support, Platform Engineering Key Responsibilities:

Own the reliability, availability, and performance of applications running on Red Hat OpenShift and Kubernetes platforms in production environments. Independently troubleshoot and resolve complex incidents across application, database, networking, observability, workflow orchestration, and GPU infrastructure layers. Administer and support OpenShift clusters, including deployments, pods, services, routes, operators, namespaces, resource quotas, and cluster upgrades. Lead incident response, perform root cause analysis (RCA), and drive permanent fixes and post-incident improvements. Define, monitor, and improve SLIs, SLOs, and error budgets to ensure services meet reliability targets. Build and maintain monitoring, logging, and alerting using tools such as Prometheus, Grafana, Splunk, ELK/EFK, or Dynatrace. Automate repetitive operational tasks and reduce toil using scripting (Shell, Python) and infrastructure-as-code tools (Ansible, Terraform, Helm). Support and improve CI/CD pipelines (Jenkins, GitHub Actions, Tekton, ArgoCD) for safe and repeatable deployments. Support workflow orchestration platforms (e.g., Airflow, Argo Workflows, Control-M) and troubleshoot job failures and scheduling issues. Support GPU-enabled workloads on OpenShift/Kubernetes, including

NVIDIA GPU

Operator, node configuration, and capacity monitoring. Investigate database-related issues (e.g., Oracle, PostgreSQL, MongoDB) such as connectivity, performance, and capacity. Diagnose networking issues including DNS, load balancers, ingress/egress, network policies, TLS/certificates, and service mesh. Perform capacity planning, performance tuning, and scaling of containerized workloads. Create and maintain runbooks, SOPs, and knowledge base articles; participate in on-call rotation. Partner with development, platform, security, and infrastructure teams to improve system resilience and operational excellence.