Remote Senior DevSecOps Engineer for AWS Data Lakehouse

EBSCO

United States

Remote

USD 125,000 - 178,000

Full time

14 days+
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Job summary

EBSCO Information Services invites a Senior DevSecOps Engineer to design, build, and maintain production-grade data pipelines and infrastructure in a predominantly AWS-based data lakehouse environment.

You will collaborate with data engineers and other teams to operationalize workloads, implement CI/CD, and ensure security, reliability, and scalable platform lifecycle across the data ecosystem. You will mentor junior engineers and help standardize delivery practices across teams.

Qualifications

  • 6+ years in software or data engineering.
  • 3+ years building production pipelines and infrastructure.
  • Strong Python and software engineering fundamentals.
  • Hands-on AWS services experience (Step Functions, Lambda, S3, Glue, IAM, CloudWatch).
  • Experience building testable infrastructure-as-code with Terraform, AWS CDK, or CloudFormation.

Responsibilities

  • Design, build, and maintain automation pipelines across AWS environments.
  • Implement CI/CD automation for packaging, testing, deployment, and monitoring.
  • Collaborate with data engineers to operationalize workloads in the data lakehouse.
  • Develop integrations between data ingestion, storage, and downstream repos.
  • Apply infrastructure-as-code to reusable, version-controlled constructs with tests.
  • Define monitoring, alerting, and remediation for deployed services.
  • Ensure security, compliance, and governance standards.
  • Participate in code reviews and documentation of DevSecOps practices.
  • Mentor junior engineers and share best practices across teams.

Skills

Python
CI/CD
Version control
Software engineering fundamentals
Communication

Tools

Terraform
AWS CDK
CloudFormation
Docker
Jenkins
GitHub Actions

Job description

EBSCO Information Services invites a Senior DevSecOps Engineer to design, build, and maintain production-grade data pipelines and infrastructure in a predominantly AWS-based data lakehouse environment.

You will collaborate with data engineers and other teams to operationalize workloads, implement CI/CD, and ensure security, reliability, and scalable platform lifecycle across the data ecosystem. You will mentor junior engineers and help standardize delivery practices across teams.

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