Senior DevOps Engineer

Posted 1hrs ago

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Job Description

Senior DevOps Engineer modernizing a U.S. life-insurance provider’s infrastructure on AWS. Automating cloud migration, CI/CD, Terraform, serverless deployments, and platform monitoring.

Responsibilities:

  • Design, implement, and manage scalable cloud infrastructure on AWS.
  • Lead and support the migration of on-premises systems to a cloud-native, serverless architecture.
  • Build and maintain CI/CD pipelines using Bitbucket Pipelines and automate deployment processes.
  • Provision and manage cloud resources with Terraform, keeping infrastructure versioned, reproducible, and consistent across environments.
  • Help drive the shift from traditional DevOps practices toward platform engineering, building internal tools that support the development teams.
  • Set up monitoring to keep systems reliable, and find and resolve performance bottlenecks.
  • Work alongside development, security, and operations teams, keeping communication clear and timely.
  • Apply security best practices, run regular security audits and vulnerability assessments, and help keep the platform compliant with industry standards.
  • Keep documentation of infrastructure, processes, and tools up to date.
  • Share knowledge and mentor junior team members.

Requirements:

  • Bachelor's degree in Computer Engineering or a related field, or equivalent hands-on DevOps experience.
  • 5+ years of experience in a DevOps role within software organizations.
  • Proven experience with AWS services and cloud migration projects.
  • Extensive experience with CI/CD tools, particularly Bitbucket Pipelines.
  • Strong proficiency in Terraform for Infrastructure as Code.
  • Solid knowledge of containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with Atlassian tools (Jira, Confluence, Bitbucket).
  • Excellent communication skills and the availability to respond quickly and stay connected with the team throughout the workday.
  • The ability to write clear, easy-to-follow documentation.
  • Strong problem-solving and analytical skills, and the drive to work with minimal direction.
  • Willingness to learn and adapt to new technologies.
  • Nice to have: experience with MLOps or DataOps, such as ML or data pipelines, model deployment, or data platform automation.
  • Nice to have: AWS certifications, such as AWS Certified DevOps Engineer – Professional, AWS Certified Security – Specialty, or AWS Certified SysOps Administrator – Associate.

Benefits:

  • Salary in USD
  • 100% Remote