Senior DevSecOps Engineer - AWS Data Lakehouse (Remote)

EBSCO Information Services, Inc.; Jackson (MS); Remote; USD 125,000 - 178,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Retirement Plan

Parental Leave

PTO & Holidays

Mentoring program

Job summary

EBSCO Information Services seeks a Senior DevSecOps Engineer to design, build, and maintain production-grade data pipelines and platform infrastructure in an AWS-based data lakehouse. You will work with data engineers to operationalize workloads, ensuring reliability, security, and scalability across the lifecycle from ingestion to deployment.

This remote, distributed role emphasizes automation, platform NFRs, and collaboration, with experience in Terraform, AWS CDK, and CI/CD best practices

Qualifications

• 6+ years of professional software or data engineering experience.

Responsibilities

• Design, build, and maintain automation pipelines for packaging, validation, and deployment across AWS environments.
• Implement automation for packaging, testing, deployment, and monitoring using CI/CD best practices.
• Collaborate with data engineers to operationalize workloads within the data lakehouse ecosystem.
• Develop and maintain integrations between data ingestion, storage, and downstream repositories.
• Apply infrastructure-as-code (Terraform, AWS CDK, CloudFormation) to build reusable constructs that are versioned and tested.
• Automate monitoring, alerting, and remediation strategies for deployed services.
• Ensure infrastructure and pipelines meet security, compliance, and governance standards.
• Participate in code reviews, share knowledge, and improve DevSecOps practices.

Skills

Python

CI/CD

Docker

AWS

Data pipelines

Tools

Terraform

AWS CDK

CloudFormation

Jenkins

Github Actions

Job description

EBSCO Information Services seeks a Senior DevSecOps Engineer to design, build, and maintain production-grade data pipelines and platform infrastructure in an AWS-based data lakehouse. You will work with data engineers to operationalize workloads, ensuring reliability, security, and scalability across the lifecycle from ingestion to deployment.

This remote, distributed role emphasizes automation, platform NFRs, and collaboration, with experience in Terraform, AWS CDK, and CI/CD best practices