[Remote] DevOps Engineer
Note: The job is a remote job and is open to candidates in USA. NTT DATA is a business and technology services company providing cloud, security, data, and application services. The DevOps Engineer will build and operate production AWS environments, develop IaC and CI/CD automation, implement observability and security controls, and support cloud application and data workflows. The role also involves architecture review, performance optimization, documentation, and mentoring junior engineers.
Responsibilities
- Design, build, and maintain AWS infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform, OpenTofu, CloudFormation, or CDK
- Develop and optimize CI/CD pipelines supporting automated testing, secure deployments, and environment consistency
- Implement and maintain logging, monitoring, and alerting for cloud systems using CloudWatch, OpenSearch, Splunk Prometheus, or similar tools
- Support deployment and operational lifecycle of cloud applications using services such as Lambda, API Gateway, ECS/EKS, S3, Step Functions, SQD, SNS, EventBridge, and Fargate
- 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 closely with cybersecurity teams, software engineers, and data teams to ensure secure, reliable cloud operations
- Review system architectures, reduce operational complexity, and ensure alignment with secure development and cloud best practices
- Generate automated operational dashboards, documentation, and reporting to support system visibility and readiness
- Mentor junior engineers, lead knowledge-sharing sessions, and contribute to continuous improvement efforts
- Drive improvements across automation, observability, and performance optimization
Skills
- * Minimum 5 years of experience supporting production environments as a DevOps, Cloud, or SRE engineer
- * Minimum 5 years of experience with AWS services and cloud-native architectures
- * Minimum 3 years of experience designing, deploying, and maintaining CI/CD pipelines (e.g., GitHub Actions, GitHub runners, GitLab CI, Jenkins)
- * Minimum 3 years of experience with Infrastructure-as-Code (Terraform, OpenTofu, CloudFormation, or CDK)
- * Minimum 3 years of experience with containerization and container orchestration (Docker, ECS, EKS, or Fargate)
- * Minimum 3 years of experience with scripting languages such as Python, Bash or Ansible for automation tasks
- * Minimum 2 years of experience implementing automated testing, static analysis, and security scanning within pipelines
- * Minimum 2 years of experience integrating APIs, ingesting data, and supporting cloud-based data workflows
- * Minimum 2 years of experience troubleshooting complex cloud environments and optimizing system performance
- * Minimum 2 years of experience creating system documentation, runbooks, and operational workflows
- * Ability to obtain a Public Trust Clearance
- * Undergraduate degree/bachelors degree
- * Experience supporting modern front-end teams by managing API infrastructure and backend data delivery
- * Strong analytical skills and familiarity working with large data feeds or distributed systems
- * Familiarity with DevSecOps practices, compliance automation, and secure cloud design
- * Experience with AWS networking (VPC, Transit Gateway, Route 53, security groups, NACLs)
- * Experience with Linux/Unix administration and command-line tooling
- * Background with monitoring and observability tools (Datadog, Splunk, Prometheus, OpenTelemetry)
- * Experience with AI/ML or data processing pipelines is a plus
- * 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 (C, C++) is a plus but not required
- * Experience with Python for automation, scripting, or tooling in cloud environments
- * Experience with SQL databases (PostgreSQL, MySQL, MSSQL) for querying and operational support
- * Experience with NoSQL databases (DynamoDB, MongoDB, Elasticsearch/OpenSearch) for distributed or high-volume data workloads
- * Experience designing or optimizing data ingestion pipelines involving mixed SQL/NoSQL storage layers
Benefits
- Incentive compensation based on individual and/or company performance
- Medical, dental, and 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
- Participation in a 401k program with company match
- Additional voluntary or legally-required benefits
- Remote work option
Company Overview
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