Sr. DevOps Engineer

Please find the job description for the position of Senior DevOps Engineer below, and kindly let me know if you are interested or would like to proceed further.

Sr. DevOps Engineer

Hybrid (Boston, MA)

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 ofxxxxxxxxxxxxxxxyears of experience in DevOps engineering
• Git version control
• Minimum ofxxxxxxxxxxxxxxxyears of experience with GitHub Actions
• Minimum ofxxxxxxxxxxxxxxxyears of experience with Terraform
• Minimum ofxxxxxxxxxxxxxxxyears 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

Thanks & Regards,

Tushar Chauhan

(xxxxxxxxxxxxxxxExt. 1079

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