Director of DevOps

Acxiom

. Lead and mentor multiple DevOps and automation engineering teams of 20–40 professionals .

Posted 10/16/2026full-timeRemote • New York • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in leading DevOps teams, implementing cloud migration strategies, and architecting automation solutions for big data processing. Proficient in CI/CD practices, Infrastructure as Code, and multi-cloud management across AWS, GCP, and Azure.

Highest-signal resume keywords

DevOps Team LeadershipCloud Migration StrategiesCI/CD ImplementationInfrastructure as Code (Terraform)Big Data Processing (SQL, Spark)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesCI/CD Platforms (GitHub Actions)Configuration Management (Ansible)Multi-Cloud Management (AWS, GCP, Azure)Data Platform Management (Snowflake, Databricks)Infrastructure as Code (Terraform)Big Data Processing (SQL, Spark)Container Security PracticesGit WorkflowsHelm Charts

Soft Skills

Exceptional Communication SkillsStrategic ThinkingProblem-Solving Skills

Tools & Technologies

GitHubNexusMonitoring and Observability ToolsSecurity Scanning ToolsDevSecOpsGitOps

Certifications & Qualifications

AWS CertificationGCP CertificationKubernetes Certification

Industry Keywords

DevOpsAutomation EngineeringContinuous ImprovementOperational ExcellenceDisaster Recovery PlanningBusiness Continuity Processes

Tech Stack

Tools & technologies

AnsibleApacheAWSAzureCloudGoogle Cloud PlatformHadoopKubernetesSparkSQLTerraform

About the role

Key responsibilities & impact

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
Establish career progression paths and technical competency frameworks
Champion engineering best practices and modern DevOps methodologies
Execute CI/CD, Infrastructure as Code, pipeline, container, and orchestration strategies
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 big data processing systems using SQL and Spark
Ensure scalable, reliable, and secure deployment pipelines for mission-critical data 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
Establish metrics, KPIs, and continuous improvement processes
Lead incident response coordination, disaster recovery planning, and business continuity processes
Drive knowledge transfer, best-practice sharing, and governance frameworks
Report to the Senior Vice President of Product Automation

Requirements

What you’ll need

12+ years of technology experience with 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 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, especially Terraform
Strong background with CI/CD platforms, particularly GitHub Actions, and artifact management with Nexus
Extensive experience with configuration management and automation tools, especially Ansible
Solid understanding of Git workflows, branching strategies, and code management practices with GitHub
Multi-cloud platform expertise with AWS, GCP, and Azure
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
Data Platform management of 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
Preferred: Bachelor’s degree in Computer Science, Engineering, or related technical field
Preferred: Advanced degree or relevant certifications, such as AWS, GCP, or Kubernetes
Preferred: Understanding of Apache Spark, Hadoop ecosystem, SQL-based processing systems, data lakes, modern analytics architectures, monitoring and observability tools, security scanning tools, DevSecOps, and GitOps

Benefits

Comp & perks

Equal opportunity employer, including disability and protected veteran status
Remote/homebased work arrangement
Full-time employment