SRE Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Support and improve reliability, availability, and performance across O&E applications by participating in on-call rotations, handling incidents, and performing root cause analysis. Develop and maintain automation tools using Python, Ansible, or shell scripting to reduce manual toil while deploying and monitoring workloads on AWS, Azure, or GCP. Configure observability with Prometheus, Grafana, and ELK for proactive detection, and define SLIs, SLOs, and error budgets for O&E services. Explore AIOps and AI-driven automation to reduce alert noise and enable intelligent remediation. Collaborate with product and infrastructure teams to maintain runbooks and automation playbooks for operational readiness.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 3–5 years of experience in SRE, DevOps, or Cloud Infrastructure roles
- Strong programming skills in Python for automation and scripting
- Familiarity with AWS, Azure, or GCP cloud environments
- Working knowledge of Docker, Kubernetes, and Infrastructure as Code tools (Terraform / Ansible)
- Experience with observability tools (Prometheus, Grafana, ELK, Datadog, etc.)
- Exposure to incident response, troubleshooting, and root cause analysis
- Ownership-driven mindset with passion for improving reliability through automation
Desired Qualifications
- Exposure to AIOps or AI/ML-driven automation for reliability and operations
- Interest in building agentic AI workflows and AI-assisted automation for SRE use cases
- Familiarity with LLM platforms (e.g., Azure AI Foundry / Azure OpenAI) and prompt-based tooling
- Familiarity with cloud cost optimization and reliability frameworks
- Knowledge of CI/CD pipelines and AIOps or AI/ML automation
- Experience working with or administering databases (Oracle DBA, PostgreSQL, or other relational databases)
- Experience developing or maintaining service health dashboards
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