Software Dev QA / SRE Engineer

Reliability & Performance Optimization

• Ensure high availability of services by implementing best practices in monitoring, alerting, and incident management.
• Conduct capacity planning, performance tuning, and load testing to optimize system efficiency.
• Implement self-healing mechanisms to minimize downtime and improve fault tolerance.

Infrastructure & Automation

• Design, implement, and maintain scalable Kubernetes clusters across multiple environments.
• Automate infrastructure provisioning using Terraform, Helm, or Ansible.
• Manage CI/CD pipelines to streamline deployments and reduce manual interventions.

Monitoring & Incident Response

• Develop and maintain observability solutions using Prometheus, Grafana, ELK, or OpenTelemetry.
• Set up automated alerting and on-call rotations to ensure proactive issue resolution.
• Perform root cause analysis (RCA) and post-mortems to drive continuous improvements.

Security & Compliance

• Enforce security best practices, including IAM policies, network security, and container security.
• Ensure compliance with industry standards (SOC 2, ISO 27001, etc) through automated security checks.

Collaboration & Documentation

• Work closely with development, security, and operations teams to align reliability goals with business needs.
• Maintain clear and up-to-date runbooks, incident reports, and system documentation.

We Are Looking for:

• 3+ years of experience in SRE, DevOps, or Cloud Infrastructure roles.
• Strong knowledge of Kubernetes, Docker, and container orchestration.
• Proficiency in cloud platforms (AWS, GCP, or Azure) and infrastructure as code tools like Terraform.
• Experience with observability tools (Prometheus, Grafana, Datadog, New Relic, etc).
• Expertise in CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD, Flux, etc).
• Proficiency in scripting & automation (Python, Go, Bash).
• Understanding of networking, load balancing, DNS, and security best practices.
• Excellent troubleshooting skills with a focus on incident resolution and post-mortem analysis.

Preferred Qualifications

• Experience with multi-cluster Kubernetes management and service mesh (Istio, Linkerd).
• Familiarity with GitOps workflows and policy-driven infrastructure.
• Knowledge of machine learning-driven anomaly detection for proactive monitoring.