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
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
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
Previous experience in data-intensive or analytics-focused organizations
Primary Location City/State: Homebased - New York, New York
Additional Locations (if applicable)
Attention Colorado, California, Connecticut, Massachusetts, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, Virginia, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact compensation@acxiom.com.
Equal opportunity and legal
Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
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