Lead Site Reliability Engineer

Overview

Responsibilities

• Ownership
• Lead the design, operation, and continuous improvement of cloud infrastructure, Kubernetes platforms, and reliability practices across production environments.
• Direct and develop a team of 3-5 engineers, combining mentoring with clear delivery ownership, coaching, and performance leadership.
• Establish and drive standards for observability, deployment safety, incident management, self-service platform capabilities, and reusable golden-path engineering practices.
• Build automation across infrastructure provisioning, CI/CD workflows, and operational processes to improve consistency, resilience, and delivery efficiency.
• Collaboration
• Partner with engineering, product, platform, and security teams to improve reliability, scalability, and secure-by-default operations.
• Align stakeholders on platform standards, operational readiness, and adoption of engineering practices, using strong documentation and influence rather than relying only on formal authority.
• Provide clarity and direction in complex environments by balancing delivery needs, team development, and cross-functional priorities.
• Solutioning
• Solve complex reliability and infrastructure problems by balancing availability, security, performance, cost, and delivery speed.
• Guide technical decisions across AWS, multi-cluster Kubernetes, blue-green deployments, service mesh, and distributed production systems.
• Define and operationalize SLOs, SLIs, error budgets, monitoring, alerting, and post-incident improvement practices.
• Support resilient production systems through strong debugging, fault-tolerant design, and practical security and compliance controls.

Skills

• Must have
• 12+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Cloud Infrastructure, or related production engineering roles.
• 2+ years operating at Staff Engineer, Lead Engineer, or equivalent senior technical level.
• 2+ years supporting production-grade microservices environments at scale.
• Strong hands-on expertise with AWS, Kubernetes, multi-cluster operations, Terraform, Helm, kubectl, CI/CD, and tools such as Jenkins.
• Strong experience with observability and incident management tooling such as Prometheus, Grafana, and OpenSearch.
• Experience building self-service platform capabilities, reusable platform standards, and scalable operational practices.
• Strong understanding of Zero Trust architecture, OAuth2, ZTNA, IAM, secrets management, certificates, and access controls.
• Experience working in regulated or high-control environments with standards such as PCI DSS, ISO 27001, and MAS TRM.
• Experience supporting distributed systems and data platforms, including microservices reliability, PostgreSQL, Kafka, Cassandra, and fault-tolerant architectures.
• Strong leadership, decision-making, stakeholder influence, and technical documentation skills.
• Success KPIs
• Production platforms meet agreed reliability, availability, and recovery targets.
• Deployment and operational workflows become more automated, repeatable, and low risk.
• Platform standards and self-service practices are adopted across teams.
• Recurring incidents and operational toil are reduced through better engineering design and automation.
• Team capability, ownership, and execution quality improve through effective people leadership.
• The role delivers visible business and organizational impact, not only technical delivery.