Sr. DevSecOps Engineer

Accountabilities:

• Design, build, and maintain automation pipelines for workload packaging, validation, testing, deployment, and monitoring across AWS environments.
• Collaborate with data engineers and other engineering teams to operationalize workloads within the data lakehouse ecosystem.
• Develop and maintain integrations connecting data ingestion, storage, and downstream service repositories.
• Build reusable, composable, version-controlled infrastructure-as-code constructs and modules using Terraform, AWS CDK, or CloudFormation.
• Establish versioning, reproducibility, and lineage tracking for pipeline artifacts and configurations.
• Define and automate monitoring, alerting, and remediation strategies for deployed services and infrastructure.

Requirements:

• 6+ years of professional experience in software engineering, data engineering, or a related technical discipline.
• 3+ years of hands-on experience implementing and maintaining production pipelines and infrastructure.
• Strong proficiency in Python and solid software engineering fundamentals, including testing, code review, and version control.
• Hands-on experience with AWS services such as Step Functions, Lambda, ECR, S3, Glue, IAM, and CloudWatch.
• Strong understanding of CI/CD and containerization technologies, particularly Docker, with experience building pipelines using tools such as Jenkins or GitHub Actions.

Benefits:

• Annual salary range of USD $124,750 – $178,215.
• Fully remote work arrangement.
• Opportunity to work within a distributed Agile environment.
• Hands-on involvement with AWS, DevSecOps, data lakehouse infrastructure, automation, and modern software delivery practices.
• Opportunity to contribute to platform standards, security, governance, observability, and continuous improvement initiatives.
• Opportunities to mentor junior engineers and collaborate with multidisciplinary engineering teams.