Director of Engineering Integrated Platform | Platform Engineering, SRE & DevOps

Job summary

The Director of Engineering leads managers and team leads responsible for SRE, DevOps, and release engineering, turning platform strategy into reliable, scalable capabilities for a company-wide integrated platform. The role owns multi-quarter engineering roadmaps, major-incident response, release readiness, and reliability practices, while advancing self-service tooling and responsible AI adoption. The platform spans AWS, Java/Spring Boot, Kafka, and PostgreSQL.

Benefits

Qualifications

• 10+ years of engineering experience, including direct ownership of production SRE or cloud reliability for business-critical distributed systems.
• Experience designing and operating resilient AWS services using IAM, networking, compute, observability, and infrastructure as code.
• Experience leading cross-service incident response, making recovery decisions, and communicating business impact.
• Experience owning release readiness, CI/CD quality gates, deployment sequencing, and rollback or roll-forward across service, database, and event-schema changes.
• Experience establishing SLIs, SLOs, error budgets, actionable observability, and sustainable on-call practices.
• Strong production troubleshooting experience with Java/Spring Boot, Kafka, and PostgreSQL.
• Experience leading engineering managers and team leads in SRE, DevOps, or production engineering.

Responsibilities

• Lead and coach engineering managers and team leads across SRE, DevOps, and release engineering.
• Own organizational design, hiring, performance management, succession planning, and leadership development.
• Develop multi-quarter roadmaps for CI/CD, infrastructure as code, consistent environments, self-service tooling, and toil reduction.
• Establish major-incident readiness, escalation, incident command, stakeholder communication, and blameless reviews.
• Set release governance, delivery calendars, quality gates, and production-readiness criteria.
• Identify and lead AI opportunities in engineering productivity, testing, knowledge retrieval, incident investigation, and controlled remediation.
• Define reliability measures, including SLIs, SLOs, and error budgets, with service owners.
• Validate failover, backup restoration, and disaster recovery against agreed objectives.
• Report on service health, release performance, roadmap progress, AI outcomes, talent, cost, and risk.
• Build reusable platform patterns and self-service experiences, and measure developer adoption.

Skills

Industry

Relocation