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Site Reliability Engineer
4 weeks ago
Key Responsibilities
- Cloud Infrastructure (AWS):
- Design, implement, and manage scalable, resilient, and cost-optimized cloud infrastructure using AWS services (EC2, EKS, Lambda, RDS, S3, CloudFront, IAM, VPC, etc.).
- Implement Infrastructure as Code (IaC) using tools like Terraform / CloudFormation.
- DevOps & Automation:
- Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline) for automated deployments.
- Automate repetitive tasks to improve development velocity and operational efficiency.
- Observability & Monitoring:
- Define and implement observability strategy covering monitoring, logging, tracing, and alerting.
- Work with tools like Prometheus, Grafana, ELK/EFK stack, AWS CloudWatch, Datadog, New Relic, Splunk, or Dynatrace.
- Establish SLIs, SLOs, and SLAs to measure and improve system reliability.
- Site Reliability Engineering (SRE):
- Drive incident management processes – detection, alerting, root cause analysis, and postmortems.
- Apply chaos engineering principles to validate resilience and recovery.
- Optimize reliability, latency, scalability, and system efficiency.
- Security & Compliance:
- Implement best practices for cloud security, identity & access management, and compliance frameworks (ISO, SOC2, GDPR, etc.).
- Ensure observability and monitoring meet security and audit requirements.
- Collaboration & Leadership:
- Partner with development, QA, and product teams to ensure seamless deployments.
- Mentor junior engineers and promote a culture of reliability, automation, and continuous improvement.
Required Skills & Qualifications
- 7+ years of professional experience in DevOps, Cloud Infrastructure, or SRE roles.
- Strong expertise in AWS Cloud (certification preferred: AWS Certified DevOps Engineer, Solutions Architect, or SysOps).
- Proficiency in IaC tools (Terraform, CloudFormation).
- Solid experience in CI/CD pipeline tools (Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline).
- Hands-on with observability tools: Prometheus, Grafana, CloudWatch, ELK, Datadog, New Relic, Splunk, or similar.
- Deep understanding of SRE principles: SLIs/SLOs, error budgets, incident response, chaos testing.
- Strong scripting/coding experience (Python, Bash, Go, or similar).
- Knowledge of containers & orchestration (Docker, Kubernetes, EKS).
- Familiarity with security best practices in cloud-native environments.
Preferred Skills
- Experience with multi-cloud or hybrid-cloud environments.
- Exposure to resiliency testing & chaos engineering tools (Gremlin, Litmus, Chaos Mesh).
- Knowledge of cost-optimization and FinOps in AWS.
- Excellent communication and stakeholder management skills.
What We Offer
- Opportunity to work on cutting-edge cloud-native architectures.
- A culture focused on automation, reliability, and innovation.
- Growth opportunities with certifications, training, and leadership exposure.