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


















