About This Role
This Lead Infrastructure Engineer role supports the engineering, operations, and modernization of the Ansible Automation Platform. The engineer provides hands-on technical leadership to improve platform reliability, scalability, and delivery while collaborating with engineering, operations, security, and customer teams. The role drives enterprise-scale automation and supports 24x7 platform ownership for critical infrastructure services.
Responsibilities
- Provide technical guidance for Ansible platform engineering, operations, and automation solutions that address business and technical needs
- Lead the delivery of reliable, scalable, and maintainable solutions for complex infrastructure automation challenges that align with platform standards and business priorities
- Translate technical requirements, platform architecture, operational needs, and customer feedback into practical engineering solutions and implementation plans
- Partner with senior engineers and leadership to implement technical direction, improve platform capabilities, and deliver high-quality business solutions
- Apply industry best practices and emerging technologies to strengthen platform stability, automation effectiveness, and operational efficiency
- Collaborate with engineers, managers, product owners, vendors, and customer teams to resolve issues, support platform adoption, and promote sound engineering practices
Requirements
- 5+ years of experience in software engineering or infrastructure automation, or equivalent background through work, training, military service, or education
- 3+ years of experience designing, operating, and optimizing large-scale distributed production systems for high availability, scalability, and fault tolerance
Nice to have:
- 3+ years of experience leading technology or infrastructure automation initiatives
- 5+ years of experience in fast-paced Agile environments
- Strong verbal, written, and interpersonal communication skills
- Ability to build cross-functional business partnerships
- Proven ability to contribute to technical strategy, mentor engineers, and improve automation practices
- Expert Ansible Automation Platform and Ansible development experience, including reusable playbooks, roles, collections, workflows, execution environments, and governance
- Strong knowledge of containerization and orchestration (OpenShift, Kubernetes)
- Proficiency in Linux administration and scripting (Shell, YAML, Python)
- Strong experience with system performance, tuning, and automation troubleshooting
- Ability to support production incidents, root cause analysis, risk identification, and timely escalation in a 24x7 platform environment
- Knowledge of enterprise security, compliance, and vault platforms (HashiCorp Vault, CyberArk)
- Working knowledge of CI/CD and DevOps practices for Infrastructure as Code, security, and compliance scanning (GitHub Actions, Argo CD)
- Working knowledge of major cloud platforms (AWS, Azure, GCP)
Benefits
- Participation in medical, dental, and vision insurance
- Flexible spending or health savings account
- AD&D insurance
- Employee assistance
- Participation in a 401k program
- Additional voluntary or legally-required benefits
Important Details
- Schedule: ability to work additional hours as needed
- Travel: up to 5% of the time
About the Company
NTT DATA is a $30 billion trusted global innovator of business and technology services. The company serves 75% of the Fortune Global 100 and is committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. NTT DATA is one of the leading providers of digital and AI infrastructure in the world, and is part of NTT Group, which invests over $3.6 billion each year in R&D.
