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DevOps Engineer (CI / CD, AWS, Snowflake)

DevOps Engineer (CI / CD, AWS, Snowflake)

Purple DriveMinneapolis, MN, United States
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DevOps Engineer (CI / CD, AWS, Snowflake)

Location : Minneapolis, MN ( Onsite - Local Candidates Only )

Type : Contract - Onsite

Role Overview

We are seeking an experienced DevOps Engineer with strong expertise in CI / CD pipeline design, AWS, IAM, Jenkins automation, and service re-design . The role also requires a good understanding of Snowflake for cloud data integration. The ideal candidate will have a proven track record of implementing scalable DevOps practices and ensuring seamless delivery in enterprise environments.

Key Responsibilities

  • Design, implement, and manage CI / CD pipelines for application and infrastructure deployments.
  • Automate builds, tests, and deployments using Jenkins and other DevOps tools .
  • Manage and configure AWS cloud infrastructure with a focus on IAM, networking, and security best practices .
  • Redesign and optimize existing services for scalability, performance, and security.
  • Collaborate with development, cloud, and data teams to integrate solutions into production.
  • Support Snowflake integration within DevOps workflows.
  • Monitor infrastructure, troubleshoot issues, and optimize deployments.
  • Ensure compliance with organizational security and governance standards.

Essential Skills

  • Strong experience as a DevOps Engineer in enterprise environments.
  • Proficiency in CI / CD pipelines , Jenkins automations , and infrastructure as code (Terraform / CloudFormation).
  • Solid understanding of AWS services including IAM, EC2, VPC, S3, Lambda, CloudWatch, and security configurations.
  • Hands-on experience with service re-design and modernization projects .
  • Familiarity with Snowflake (integration, automation, data pipeline support).
  • Strong scripting skills (Python, Shell, or Groovy).
  • Excellent troubleshooting, communication, and collaboration skills.
  • Nice to Have

  • Experience with Kubernetes, Docker, and container orchestration .
  • Exposure to monitoring and observability tools (Grafana, Prometheus, Splunk).
  • Prior work in financial services or enterprise data platforms .
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