Director of DevOps
About The Position
Acxiom is seeking an experienced Director of DevOps to join its engineering organization and drive operational excellence in cloud modernization initiatives. Reporting to the Senior Vice President of Product Automation, this hands-on leader will lead multiple DevOps and automation teams and help transform legacy on-premises systems into modern cloud-native architectures. The role combines strategic direction with tactical execution, particularly in big data processing environments and large-scale cloud migrations. The Director will develop high-performing teams, establish engineering practices and competency frameworks, guide organization-wide DevOps capabilities, and oversee scalable, reliable, and secure deployment pipelines. The position also partners with platform engineering, SRE, data engineering, and security teams to align DevOps work with business objectives.
Requirements
- 12+ years of technology experience, including 7+ years in DevOps or platform engineering roles.
- 5+ years of experience leading and scaling DevOps teams of 15+ professionals.
- Experience managing global, distributed teams, including offshore resources and mixed full-time and contractor workforces.
- Proven track record of successful enterprise-scale cloud migrations and infrastructure modernization.
- 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, including Terraform.
- Strong background with CI/CD platforms, particularly GitHub Actions, and artifact management using Nexus.
- Extensive experience with configuration management and automation tools, especially Ansible.
- Solid understanding of Git workflows, branching strategies, and code management practices using GitHub.
- Multi-cloud expertise across AWS, GCP, and Azure.
- Experience with Helm charts, container registries, and container security practices.
- Exceptional communication skills and ability to influence stakeholders at all levels.
- Strong strategic thinking and ability to translate business requirements into technical solutions.
- Data platform management experience with Snowflake or Databricks.
- 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.
Nice To Haves
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Advanced degree or relevant certifications, such as AWS, GCP, or Kubernetes certifications.
- Understanding of big data processing frameworks, including Apache Spark and the Hadoop ecosystem, and data pipeline orchestration.
- Experience with SQL-based processing systems, data lakes, and modern analytics architectures.
- Background with monitoring and observability tools such as Prometheus, Grafana, ELK stack, or Datadog.
- Knowledge of security scanning tools and DevSecOps practices.
- Experience with GitOps methodologies and tools.
- Previous experience in data-intensive or analytics-focused organizations.
Responsibilities
- Lead and mentor multiple DevOps and automation engineering teams of 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 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.
- Standardize DevOps tools, processes, and practices across multiple product teams.
- Lead technical implementation of cloud migration strategies for legacy data center workloads.
- Architect and implement automation solutions for SQL- and Spark-based big data processing systems.
- Ensure scalable, reliable, and secure deployment pipelines for mission-critical data processing workloads.
- Oversee multi-cloud infrastructure management, monitoring, and cost optimization across AWS, GCP, and 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.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
