waypointjobs

TalentOla

Sr. DevOps Engineer

boston, MA

Check who can apply and the requirements below before continuing.

About this opportunity

TalentOla lists this Sr. DevOps Engineer opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Description: 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 DevOps 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 GitHub Actions.

Implement and deploy GitHub 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 DevOps engineering

Minimum of 5 years of experience with GitHub 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 PowerShell

Experience with use of advanced features of AI tools: ChatGPT, custom GPTs, and/or other models such as Claude Sonnet

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Worksite address

boston, MA, 02298, US

Who can apply

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