Senior Site Reliability Engineer

• Ensure high availability, reliability, and performance of large-scale cloud infrastructure across AWS and GCP environments.
• Operate and support infrastructure components and distributed data platforms such as Kubernetes, Kafka, Flink, Storm, and Spark.
• Manage and maintain databases including Cassandra, Elasticsearch, Redis, Postgres, and ArangoDB.
• Monitor systems, troubleshoot issues, and resolve production incidents across microservices and distributed systems.
• Collaborate closely with software engineering teams to debug and resolve complex production problems.
• Participate in 24x7 on-call rotation supporting multi-cloud production environments.
• Monitor system metrics, application performance, and infrastructure health using observability tools.
• Own the incident management lifecycle, including detection, mitigation, Root Cause Analysis (RCA), and post-incident reviews.
• Develop and maintain runbooks, automation, and operational processes to improve reliability and efficiency.
• Perform capacity planning using system usage and performance data.
• Drive SRE best practices, operational standards, and continuous improvement initiatives.

 What You Need to Bring:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 6–10+ years of experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles.
• Strong hands-on experience with cloud platforms (AWS or GCP) including services like EC2/GCE, IAM, and object storage (S3/GCS).
• Experience with containerization and orchestration technologies, especially Docker and Kubernetes.
• Experience building and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab.
• Experience with monitoring and observability tools such as Prometheus, CloudWatch, or Stackdriver.
• Strong understanding of Linux systems administration and configuration management tools like Ansible.
• Experience managing distributed systems and streaming platforms such as Kafka, Cassandra, Elasticsearch, Spark, Flink, or Storm.
• Strong automation and scripting skills using Python, Go, Rust, or Shell scripting.
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and collaboration skills with the ability to work with cross-functional teams.