Senior Site Reliability Engineer (SRE)

Role Overview

We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to design, build, and scale observability and reliability solutions across enterprise-grade distributed systems. This role focuses on improving system reliability, performance, and operational excellence through advanced telemetry, automation, and cloud-native best practices, with a strong emphasis on AWS environments.

Key Responsibilities

• Design, implement, and maintain end-to-end observability solutions including metrics, logging, and distributed tracing.
• Build and manage real-time monitoring dashboards and alerting systems using tools such as Datadog, Splunk, Prometheus, Grafana, or ELK.
• Develop and enforce Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to ensure system reliability.
• Lead incident response efforts, including troubleshooting, root cause analysis, and rapid resolution of production issues.
• Drive reliability engineering practices including post-incident reviews and continuous improvement initiatives.
• Automate operational and monitoring workflows using Python, Bash, or Go.
• Develop self-healing systems and auto-remediation capabilities to reduce manual intervention.
• Collaborate closely with DevOps, Cloud, and Security teams to enhance CI/CD pipelines and infrastructure resilience.
• Optimize application and infrastructure performance, scalability, and availability in cloud environments.
• Champion reliability, observability, and operational best practices across engineering teams.

Required Qualifications

• 10+ years of experience in Site Reliability Engineering, DevOps, or Production Engineering roles.
• Strong expertise in observability and monitoring tools (Datadog, Splunk, Prometheus, Grafana, ELK stack).
• Hands-on experience managing incidents and participating in on-call rotations in production environments.
• Proficiency in Linux system administration, networking fundamentals, and performance tuning.
• Strong programming/scripting skills in Python, Bash, Go, or similar languages.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Proven experience designing and maintaining CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
• Solid understanding of distributed systems, high availability, and scalability patterns.

AWS & Cloud Expertise

• Hands-on experience with AWS services such as EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, and VPC networking.
• Experience with AWS-native observability tools including CloudWatch, X-Ray, and CloudTrail.
• Familiarity with infrastructure automation using AWS CloudFormation or Terraform.
• Experience implementing scalable, fault-tolerant architectures in AWS environments.
• Understanding of cost optimization and performance tuning in cloud-native systems.

Nice-to-Have Skills

• Experience with AIOps, anomaly detection, and predictive monitoring solutions.
• Knowledge of Infrastructure as Code (Terraform, Ansible, Pulumi).
• Exposure to security monitoring, compliance, and integration with observability platforms.
• Experience with event-driven architectures and streaming platforms (e.g., Kafka).
• Familiarity with chaos engineering and resilience testing practices.