AWS Senior DevOps Engineer

NTT DATA Services•Herndon, VA

3d•$75,168 - $130,500•Remote

About The Position

NTT DATA is seeking an AWS Senior DevOps Engineer to support a large-scale modernization initiative focused on cloud automation, infrastructure-as-code, CI/CD pipeline engineering, secure system design, and reliable delivery of mission-critical data services. The position combines hands-on engineering with opportunities to shape cloud architecture, mentor team members, and drive continuous improvement across an evolving AWS-based environment. The ideal candidate has deep experience building and operating production AWS environments, proficiency with automation tools, modern CI/CD practices, cloud-native monitoring, and secure DevOps workflows. Experience integrating data platforms, supporting application teams, and designing scalable cloud architectures is valued.

Requirements

At least 5 years of experience supporting production environments as a DevOps, Cloud, or SRE engineer.
At least 5 years of hands-on experience with AWS services and cloud-native architectures.
At least 3 years of experience designing, deploying, and maintaining CI/CD pipelines, such as GitHub Actions, GitLab CI, or Jenkins.
At least 3 years of experience with Infrastructure-as-Code tools such as Terraform, CloudFormation, or CDK.
At least 3 years of experience with containerization and orchestration, such as Docker, ECS, or EKS.
At least 2 years of experience implementing automated testing, static analysis, and security scanning within pipelines.
At least 3 years of experience using scripting languages such as Python or Bash for automation.
At least 2 years of experience integrating APIs, ingesting data, and supporting cloud-based data workflows.
At least 2 years of experience troubleshooting complex cloud environments and optimizing system performance.
At least 2 years of experience creating system documentation, runbooks, and operational workflows.
Ability to obtain a Public Trust Suitability Determination.

Nice To Haves

Bachelor's degree.
Experience supporting modern front-end teams by managing API infrastructure and backend data delivery.
Familiarity with DevSecOps practices, compliance automation, and secure cloud design.
Experience with AWS networking, including VPC, Transit Gateway, Route 53, security groups, and NACLs.
Experience with Linux/Unix administration and command-line tooling.
Background with monitoring and observability tools such as Datadog, Splunk, Prometheus, or OpenTelemetry.
Experience with AI/ML or data processing pipelines.
Strong Git/GitHub skills, including branching strategies, code review workflows, and automation.
Experience with cybersecurity fundamentals, cloud security concepts, and compliance frameworks.
Exposure to compiled languages such as C, C++, or Java.
Experience with Python for automation, scripting, or tooling in cloud environments.
Experience with SQL databases such as PostgreSQL, MySQL, or MSSQL for querying and operational support.
Experience with NoSQL databases such as DynamoDB, MongoDB, or Elasticsearch/OpenSearch for distributed or high-volume data workloads.
Experience designing or optimizing data ingestion pipelines involving mixed SQL/NoSQL storage layers.

Responsibilities

Design, build, and maintain AWS infrastructure using Infrastructure-as-Code tools such as Terraform, CloudFormation, or CDK.
Develop and optimize CI/CD pipelines for automated testing, secure deployments, and consistent environments.
Implement and maintain cloud-system logging, monitoring, and alerting using CloudWatch, OpenSearch, Prometheus, or similar tools.
Support the deployment and operational lifecycle of cloud applications using services such as Lambda, API Gateway, ECS/EKS, S3, Step Functions, and EventBridge.
Automate configuration management, environment provisioning, and operational workflows using Python, Bash, and other scripting languages.
Integrate security controls, static code analysis, vulnerability checks, and compliance automation into DevOps pipelines.
Collaborate with cybersecurity teams, software engineers, and data teams to support secure and reliable cloud operations.
Review system architectures, reduce operational complexity, and align systems with secure development and cloud best practices.
Create automated operational dashboards, documentation, and reporting to support system visibility and readiness.
Mentor junior engineers, lead knowledge-sharing sessions, and contribute to continuous improvement.
Improve automation, observability, performance optimization, and cloud governance.

Benefits

Medical insurance with an employer contribution.
Dental insurance with an employer contribution.
Vision insurance with an employer contribution.
Flexible spending or health savings account.
Life and AD&D insurance.
Short- and long-term disability coverage.
Paid time off.
Employee assistance.
401(k) program with company match.
Additional voluntary or legally required benefits.
Potential eligibility for incentive compensation based on individual or company performance.