Job Description

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our 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. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us.

NTT Data is looking for a Senior DevOps Engineer with strong experience in infrastructure automation, CI/CD pipeline engineering, cloud platform build and deployment, monitoring, security, and application reliability. The candidate should be hands-on with GitHub Actions, Terraform, AWS cloud services, Docker, Kubernetes, Datadog, and SonarQube, with additional exposure to Azure/GCP integrations and multi-source pipeline setup.

This role requires someone who can design, build, automate, monitor, and secure modern cloud platforms and deployment workflows while working closely with development, cloud architecture, security, and operations teams.

Key Responsibilities

• Design, build, and maintain scalable DevOps platforms and CI/CD pipelines using GitHub Actions and related automation tools.
• Develop and manage Infrastructure as Code using Terraform for cloud infrastructure provisioning, deployment, and lifecycle management.
• Support cloud platform creation, deployment, reliability, and security, with AWS as the preferred primary cloud platform
• Build and maintain multi-source pipelines integrating code repositories, infrastructure modules, security scans, quality gates, deployment workflows, and monitoring.
• Deploy and manage containerized applications using Docker and Kubernetes
• Implement application and infrastructure monitoring using Datadog, including dashboards, logs, metrics, alerts, and operational visibility.
• Integrate code quality and security controls using SonarQube within CI/CD workflows.
• Support multi-cloud integrations across AWS, Azure, and GCP, where required.
• Collaborate with application teams to improve deployment reliability, release automation, environment consistency, and operational efficiency.
• Partner with security teams to enforce DevSecOps practices, vulnerability controls, secrets management, and compliance requirements.
• Troubleshoot deployment, infrastructure, pipeline, monitoring, and runtime issues across cloud and container platforms.
• Drive automation to reduce manual effort and improve platform reliability, repeatability, and auditability.

Mandatory Skills / Requirements

• Strong hands-on DevOps experience with GitHub Actions and Terraform
• Experience building and supporting cloud platforms, preferably on AWS
• Strong understanding of cloud deployment, reliability, monitoring, scalability, and security practices.
• Experience setting up multi-source CI/CD pipelines
• Hands-on experience with Docker and Kubernetes for model/application deployment.
• Experience with Datadog for application monitoring, observability, dashboards, alerts, logs, and metrics.
• Experience integrating SonarQube for code quality, static analysis, and quality gates.
• Exposure to multi-cloud environments, including Azure and GCP integration
• Strong troubleshooting skills across infrastructure, CI/CD, containers, cloud services, and monitoring tools.
• Ability to work with cross-functional teams including developers, architects, security, QA, and operations.

Nice-to-Have Skills

• Software engineering experience using Python, SQL, Java, or C++
• Experience with ETL/ELT tools and data pipeline workflows.
• Experience with relational databases such as PostgreSQL, SQL Server, MySQL, and Oracle
• Experience with NoSQL databases such as MongoDB and Neo4j
• API development experience, including REST APIs and integration patterns.
• Exposure to big data technologies such as Hadoop and Spark
• Experience supporting Data Science and Machine Learning workloads or model deployment pipelines.
• Familiarity with MLOps, model packaging, model deployment, and runtime monitoring is a plus.
• Experience with DevSecOps, vulnerability scanning, secrets management, and compliance-driven delivery.

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior DevOps Engineer to join our team in Guadalajara, Jalisco (MX-JAL), Mexico (MX).