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Senior DevOps Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Ness Group
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer
  • Engineering
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Location:

Boston, MA, United States
Date Created:
Jan 6, 2026
Requisition

The Data Platform Engineering team supports CI/CD and infrastructure for our integrated Data Fabric platform. This Data Fabric is a strategic core asset underpinning the operational success of our Firm.

The Data Platform Engineer will design and implement efficient procedures and pipelines for software development and infrastructure deployment, manage and deploy various key data systems and services.

The Data Platform Engineer will work with cloud engineers, data engineers, system administrators, data administrators and architects to find opportunities to leverage Dev Ops technologies to process large volumes of data.

The Data Platform Engineer will implement CI/CD workflows for Infrastructure as Code (IaC) and automated deployments. This role requires a motivated individual with strong technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.

Responsibilities
  • Implement continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline) for data infrastructure using Terraform and Git Hub Actions.
  • Implement and deploy Git Hub Actions tools and workflows.
  • Implement various development, testing, automation, and data infrastructure tools
Qualifications
  • Bachelor’s degree in computer science or engineering
  • Minimum of 10 years of experience in Dev Ops engineering
  • Minimum of 5 years of experience with Git Hub Actions
  • Minimum of 5 years of experience with Terraform
  • Minimum of 5 years of AWS Cloud experience that includes:
    Lambda, EC2, and VPC
  • Experience with big data platforms such as Amazon Redshift, Snowflake, Apache Iceberg, Apache Spark, AWS Glue, RDS
  • Experience with containers:
    Docker, Amazon ECS, and/or Kubernetes
  • Experience with data engineering, data analysis, and/or ETL
  • Experience with programming languages such as Python
  • Experience with OS-level scripting languages such as Bash and Power Shell
  • Experience with use of advanced features of AI tools:
    ChatGPT, custom GPTs, and/or other models such as Claude Sonnet

Work from GAFG / KKR Boston office - 4 days a week.

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Position Requirements
10+ Years work experience
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