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AWS DevOps Engineer

Job in Lexington, Middlesex County, Massachusetts, 02173, USA
Listing for: Data Pro Software
Full Time position
Listed on 2026-08-14
Job specializations:
  • IT/Tech
    AWS
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced AWS Dev Ops Engineer to design, deploy, and maintain scalable, secure, and automated cloud infrastructure. The ideal candidate has strong experience with serverless systems, high-volume event streaming, and CI/CD for microservices in production environments.

Key Responsibilities

  • Architect and maintain cloud infrastructure using AWS best practices
  • Develop and manage Infrastructure as Code (Terraform or Cloud Formation)
  • Build and optimize CI/CD pipelines for multiple microservices
  • Implement and monitor real-time event streaming systems
  • Manage identity, access control, and secrets management
  • Deploy and maintain distributed logging, tracing, and monitoring solutions
  • Automate operational processes and support continuous delivery
  • Work with internal teams to ensure scalable deployments and stable environments
  • Implement cost optimization, security hardening, and compliance requirements

Core Technologies

You should have hands-on experience with most of the following:

  • AWS Services
  • Lambda
  • API Gateway
  • Kinesis
  • DynamoDB
  • Cloud Watch / X-Ray
  • IAM / KMS
  • S3
  • VPC / Networking
  • Secrets Manager
  • ECS or EKS (nice to have)
  • Dev Ops Tooling
  • Terraform or Cloud Formation (required)
  • CI/CD with Git Hub Actions, Code Pipeline, or similar
  • Docker
  • Monitoring and alerting systems

Preferred Experience

  • Building serverless or microservice architectures
  • Working with high-throughput event pipelines
  • Distributed tracing and observability
  • Security best practices and least-privilege IAM design
  • Automated testing and deployment workflows
  • Production support and on-call rotation experience

Nice to Have

  • ML model deployment on managed services
  • API security and rate limiting
  • Large-scale No

    SQL performance tuning

Soft Skills

  • Strong communication and documentation skills
  • Ability to troubleshoot complex distributed systems
  • Proactive approach to automation and reliability
  • Comfortable working in fast-paced and evolving environments
  • Ownership mentality — build, monitor, improve, repeat

How to Apply

Please submit:

  • Your resume or Linked In profile
  • Examples of cloud infrastructure or deployment work (preferred)
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