Sr. DevSecOps Engineer

EBSCO; United States; Remote; USD 125,000 - 178,000; Full time

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 (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models. As an AI-enabled service leader, we thrive on innovation, forward-thinking strategies, and the dedication of our exceptional team. At EBSCO, we’re driven to inspire, empower and support research. Our mission is to transform lives by providing reliable and relevant information — when, where and how people need it. We’re seeking dynamic, creative individuals whose diverse perspectives will help us achieve this global, inclusive mission. Join us to help make an impact.

Your Opportunity

As a Senior DevSecOps Engineer, you will play a key role in designing, building, and maintaining production-grade data and platform pipelines and infrastructure within our AWS-based data lakehouse ecosystem. Working alongside data engineers and other engineering teams, you will operationalize workloads and ensure the reliability, security, and scalability of the platform lifecycle, from data ingestion through deployment and monitoring.

You will help shape our DevSecOps framework, contribute to automation that accelerates delivery, and ensure alignment with established platform Non-Functional Requirements (NFRs). This is a highly collaborative, hands‑on engineering role requiring a deep understanding of AWS services, automation, and workflow orchestration, along with a strong commitment to software development best practices.

This position is remote and operates within a distributed agile environment.

What You’ll Do

• Design, build, and maintain automation pipelines supporting workload packaging, validation, and deployment across AWS environments.
• Implement automation for packaging, testing, deployment, and monitoring using CI/CD best practices.
• Collaborate with data engineers and other engineering teams to operationalize workloads within the data lakehouse ecosystem.
• Develop and maintain integrations between data ingestion, storage, and downstream service repositories.
• Apply infrastructure-as-code (Terraform, AWS CDK, CloudFormation) to build reusable, composable constructs and modules that are version‑controlled and validated through automated tests, rather than one‑off scripts glued together.
• Implement and manage versioning, reproducibility, and lineage tracking for pipeline artifacts and configurations.
• Define and automate monitoring, alerting, and remediation strategies for deployed services.
• Ensure all infrastructure and pipelines meet enterprise security, compliance, and governance standards.
• Participate in code reviews, knowledge sharing, and continuous improvement of DevSecOps practices.
• Mentor junior engineers and contribute to documentation, standards, and best practices for software delivery across teams.

Your Team

This role is part of the Data & AI organization, focusing on the operationalization of pipelines and platform infrastructure within AWS. Areas of specialty include:

• Pipeline automation and orchestration
• Versioning, governance, and observability
• Testable, modular infrastructure‑as‑code practices
• Secure, compliant, and scalable platform infrastructure
• Continuous improvement of lifecycle automation

About You

• 6+ years of professional experience in software or data engineering.
• 3+ years of direct experience implementing and maintaining production pipelines and infrastructure.
• Strong proficiency in Python and solid software engineering fundamentals (testing, code review, version control).
• Hands‑on experience with AWS services (Step Functions, Lambda, ECR, S3, Glue, IAM, CloudWatch).
• Solid understanding of CI/CD, containerization (Docker)
• Experience with building CI/CD pipelines (Jenkins, Github Actions, etc.).
• Experience building reusable, composable infrastructure‑as‑code (Terraform, AWS CDK, or CloudFormation) as true, testable constructs, not just automation scripts.
• Strong understanding of data pipelines, ETL/ELT concepts, and data modeling in a lakehouse environment.
• Proven ability to apply software engineering best practices, including version control, automated testing, and code review, to infrastructure and data workflows.
• Strong communication and collaboration skills across multidisciplinary teams.

What sets you apart

• Experience with AWS CDK.
• Experience with Github Actions.
• Experience with data catalogs and metadata management.
• Familiarity with data governance and compliance frameworks.
• Experience with observability and monitoring tooling (CloudWatch, or custom solutions).
• Understanding of data lakehouse technologies such as Apache Iceberg or Delta Lake.
• Contributions to open‑source DevOps tooling.
• Experience in Agile development environments and cross‑functional collaboration.

Pay Range

USD $124,750.00 - USD $178,215.00 /Yr.