Director of Engineering - DevOps

Job Description:

We are seeking an experienced Director of DevOps to join our engineering organization and drive the operational excellence of our cloud modernization initiatives. Reporting to the Senior Vice President of Product Automation, you will lead multiple DevOps and automation teams while playing a critical role in our transformation from legacy on-premises systems to modern cloud-native architectures. This position requires a hands-on leader who can bridge strategic vision with tactical execution, particularly in big data processing environments and large-scale cloud migrations.

Key Responsibilities

• Lead and mentor multiple DevOps and automation engineering teams (20-40 professionals)
• Foster a culture of continuous learning, innovation, and operational excellence
• Drive talent acquisition, development, and retention strategies for high-performing DevOps teams
• Establish clear career progression paths and technical competency frameworks
• Champion engineering best practices and modern DevOps methodologies
• Execute CI/CD, Infrastructure as Code (IaC), pipeline, container, and orchestration strategies across the organization
• Drive standardization of DevOps tools, processes, and practices across multiple product teams
• Lead the technical implementation of cloud migration strategies for legacy data center workloads
• Architect and implement robust automation solutions for big data processing systems (SQL and Spark-based)
• Ensure scalable, reliable, and secure deployment pipelines for mission-critical data processing workloads
• Oversee multi-cloud infrastructure management, monitoring, and cost optimization (AWS, GCP, Azure)
• Partner with platform engineering, SRE, data engineering, and security teams to align DevOps capabilities with business objectives
• Establish metrics, KPIs, and continuous improvement processes to optimize delivery performance and operational excellence
• Lead incident response coordination, disaster recovery planning, and business continuity processes
• Drive knowledge transfer, best practice sharing, and governance frameworks across engineering teams

Required Qualifications

• 12+ years of technology experience with 7+ years in DevOps or platform engineering roles
• 5+ years of experience leading and scaling DevOps teams (15+ professionals)
• Experience managing global, distributed teams including offshore resources and mixed full-time and contractor workforces
• Proven track record of successful cloud migrations and infrastructure modernization at enterprise scale
• Experience with big data processing systems and large-scale distributed computing environments
• Deep hands-on experience with Kubernetes, including cluster management, networking, and security
• Proficiency with Infrastructure as Code tools (Terraform, CloudFormation, Ansible)
• Strong background with CI/CD platforms, particularly Jenkins, and artifact management (Nexus)
• Extensive experience with configuration management and automation tools, especially Ansible
• Solid understanding of Git workflows, branching strategies, and code management practices (GitHub)
• Multi-cloud platform expertise with AWS and GCP (Azure experience a plus)
• Experience with Helm charts, container registries, and container security practices
• Exceptional communication skills with ability to influence stakeholders at all levels
• Strong strategic thinking and ability to translate business requirements into technical solutions
• Experience managing complex, cross-functional technical initiatives
• Proven ability to drive organizational change and adopt new technologies
• Strong problem-solving skills and ability to operate in ambiguous environments

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical field
• Advanced degree or relevant certifications (AWS, GCP, Kubernetes, etc.)
• Understanding of big data processing frameworks (Apache Spark, Hadoop ecosystem) and data pipeline orchestration
• Experience with SQL-based processing systems, data lake, and modern analytics architectures
• Experience with service mesh technologies (Istio, Linkerd)
• Background with monitoring and observability tools (Prometheus, Grafana, ELK stack, Datadog)
• Knowledge of security scanning tools and DevSecOps practices
• Experience with GitOps methodologies and tools (ArgoCD, Flux)
• Previous experience in data-intensive or analytics-focused organizations

This position reports to the Senior Vice President of Product Automation and is part of our Product Engineering organization.