Leadership and Team Management: Lead and mentor a team of SRE professionals, fostering a culture of innovation, collaboration, and accountability. Develop and implement career development plans, provide coaching, and facilitate knowledge-sharing within the team. Operational Excellence: Drive the adoption of SRE principles, including SLAs, SLOs, and error budgets, to enhance system reliability and performance. Oversee incident management processes, ensuring timely resolution and comprehensive root cause analysis. Establish and monitor operational KPIs to measure and improve system availability and performance. Automation and Tooling: Champion the use of automation to reduce manual processes, improve efficiency, and enhance system reliability. Implement and optimize Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or CDK. AWS Infrastructure Management: Design, build, and maintain scalable and secure AWS-based infrastructure to support current and future workloads. Leverage AWS services such as EC2, RDS, Lambda, S3, CloudWatch, and others to enhance operational capabilities. Collaboration and Stakeholder Engagement: Partner with engineering, product, and DevOps teams to align SRE initiatives with business objectives. Act as a key liaison between the SRE team and executive stakeholders, communicating updates on reliability and risks. Risk and Security Management: Ensure compliance with security standards and best practices within AWS environments. Identify risks related to cloud infrastructure and implement strategies for mitigation.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 10+ years of experience in cloud-based infrastructure and operations, with at least 4 years in a leadership role. Deep expertise in AWS services, architecture, and tools, including hands-on experience with core AWS services (e.g., EC2, ECS, Lambda, S3, VPC, IAM). Proficiency in automation scripting (e.g., Python, Bash) and Infrastructure as Code (e.g., Terraform, CloudFormation). Strong knowledge of monitoring and observability tools like CloudWatch, Prometheus, Grafana, or Datadog. Proven experience managing large-scale production environments, incident response, and operational scaling. Hands-on experience with CI/CD pipelines and DevOps methodologies. Preferred Qualifications AWS certifications, such as AWS Certified Solutions Architect (Professional) or AWS Certified DevOps Engineer. Experience with Kubernetes (EKS) and containerization technologies like Docker. Familiarity with FinOps principles for cost optimization in AWS environments. Strong analytical skills and a data-driven approach to decision-making. Exceptional communication, leadership, and stakeholder management abilities.
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