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Location
Hybrid (Bengaluru, India)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026. NTT DATA scores A on the Alion truth index.

Overview
Company
Impact
Profile match
NTT DATA is a Tokyo system integrator founded in 1988 that spun out of the data communications arm of NTT. It is one of the largest information technology services firms in the world, building banking, public sector and payment systems and operating global consulting and managed services. The company runs the CAFIS payment network used across Japanese retail and banking.
Backed by Pamlico Capital

India T&M Special Bonus:

Req ID: 393438

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 AWS DevOps (AI Engineer) to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).

AWS DevOps Engineer

Role Summary

We are seeking a hands-on AWS DevOps Engineer to build, secure, automate, and operate production-grade AWS platforms supporting AI, GenAI, and Agentic AI solutions. This role is focused on engineering and delivery, enabling AI workloads to move from POC to scalable, secure, observable, and production-ready deployments.

Key Responsibilities

  • Build and manage DEV, TEST, and PROD AWS environments for AI and Agentic AI workloads.
  • Containerize and deploy applications using Docker, Kubernetes (EKS/ECS), and Amazon Bedrock AgentCore.
  • Develop Infrastructure as Code (IaC) using Terraform, including networking, IAM, KMS, secrets management, and secure connectivity.
  • Build and maintain secure DevSecOps CI/CD pipelines covering testing, security scanning, deployment, promotion, and rollback.
  • Integrate AI evaluation, regression, and guardrail controls into deployment pipelines.
  • Implement observability and monitoring using OpenTelemetry, ADOT, CloudWatch, and Bedrock AgentCore capabilities.
  • Establish SRE practices including SLOs, resilience, incident management, root cause analysis, and production readiness.
  • Optimize platform performance, scalability, reliability, and cloud costs using FinOps principles.
  • Collaborate with AI Engineering, Security, Architecture, and Operations teams to establish reusable platform patterns and best practices.

Qualifications

  • Strong hands-on experience in AWS DevOps, Platform Engineering, or Cloud Engineering roles.
  • Proven experience building and operating production AWS environments and containerized workloads.
  • Strong experience with Amazon Bedrock and Bedrock AgentCore.
  • Expertise in Docker, Kubernetes/EKS, Terraform, and Infrastructure as Code.
  • Strong CI/CD automation, DevSecOps, AWS security, IAM, and secrets management experience.
  • Experience with OpenTelemetry, ADOT, CloudWatch, monitoring, logging, and distributed tracing.
  • Strong understanding of SRE practices, including SLOs, resilience engineering, incident management, and RCA.
  • Experience with Bash and/or Python automation.
  • Practical experience with AWS cost optimization and FinOps practices.
  • Strong collaboration, problem-solving, and platform consulting skills.

Mandatory Experience

  • Proven experience building, automating, securing, deploying, and supporting production-grade AWS platforms and containerized workloads end-to-end.
  • Hands-on experience with Amazon Bedrock and Bedrock AgentCore is essential.
  • Production experience supporting AI, GenAI, or Agentic AI workloads is strongly preferred.
  • Infrastructure support or CI/CD-only experience without production ownership is not sufficient.

Preferred Skills

  • AgentOps and AI operations.
  • AWS Control Tower, AWS Organizations, and multi-account environments.
  • Helm, Argo CD, and GitOps.
  • Prometheus and Grafana.
  • High Availability and Disaster Recovery solutions.
  • MCP, tool, and API integration experience.
  • Experience working with SAP environments.

Preferred Certifications

  • AWS Certified DevOps Engineer - Professional.
  • AWS Certified Solutions Architect - Professional.
  • Kubernetes and Terraform certifications.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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