Senior SRE Engineer
Senior SRE responsible for operating and improving highly available cloud platforms, distributed data systems, observability, incident response, and deployment automation. Requires 5+ years of SRE, DevOps, or platform engineering experience, advanced Kubernetes expertise, cloud proficiency, and strong Python and Bash skills.
About the job
Responsibilities
- Administer and maintain container orchestration platforms and containerized workloads.
- Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability.
- Drive observability improvements by enhancing monitoring, logging, and alerting capabilities across systems and data platforms.
- Administer and optimize cloud-based environments across multiple providers.
- Manage and support distributed data platforms and real-time processing systems.
- Develop and maintain continuous integration and delivery pipelines for efficient and reliable deployments.
- Own and implement Infrastructure as Code (IaC) practices to ensure consistency and scalability.
- Automate and orchestrate infrastructure using programming and scripting languages.
- Perform system administration and networking tasks to support internal and external environments.
- Collaborate effectively with engineers and stakeholders across different time zones.
Requirements
- 5+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
- Proven success leading large-scale production systems in cloud environments, including AWS, GCP, Azure, or OCI.
- Demonstrated leadership in driving incident response, on-call best practices, and a reliability-focused culture.
- Strong experience with production on-call operations and incident management.
- Advanced proficiency in Kubernetes administration and troubleshooting.
- Hands-on experience with Prometheus, Grafana, Loki, and Alertmanager.
- Knowledge of chat-based operations interfaces and/or auto-remediation controllers using AI agentic frameworks.
- Understanding of AI agents for auto-triaging alerts, correlating signals, and suggesting root-cause hypotheses.
- Expertise in operating data platforms including Elasticsearch, MongoDB, Spark, Kafka, and Redis.
- Proficiency with public cloud services such as AWS, Azure, GCP, or OCI.
- Strong programming and automation skills in Python and Bash.
- Deep understanding of Infrastructure as Code, distributed systems, databases, networking, and Linux administration.
- Experience with Terraform, Helm, and CI/CD pipelines using GitHub Actions, Bitbucket, or ArgoCD.
- Excellent problem-solving, communication, and leadership abilities.
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
Nice-to-haves
- Certifications in AWS, GCP, observability, Linux, or Kubernetes.
Skills
Kubernetes, AWS, GCP, Azure, Oci, Prometheus, Grafana, Loki, Alertmanager, Elasticsearch, MongoDB, Spark, Kafka, Redis, Python
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