Sr. DevOps Engineer
INDEX ANALYTICS LLC
- Location
- Remote (Baltimore, MD)
- Compensation
- $150k - $190k/yr
- Level
- Senior Level
Posted 1 day ago
About the role
Index Analytics LLC supports mission-critical federal health programs by optimizing operations through data analytics, digital transformation, and AI-driven automation. The company aims to improve efficiencies and save millions for the government while impacting over 100 million Americans.
Skills
DevSecOps
AWS
CI/CD Pipelines
Infrastructure as Code
Terraform
CloudFormation
Python
Bash
PowerShell
Linux Administration
Kubernetes
Security Engineering
Vulnerability Management
Agile
Scrum
Test-Driven Development
Perks
- Remote Work
Full job details
Job Details: Level: Senior, Job Location: Remote - Baltimore, MD, Education Level: 4 Year Degree, Salary Range: $150000.00 - $190000.00Salary/year, POSITION OVERVIEW
The Senior DevOps Engineer will provide DevOps implementation and support for AWS cloud environments, integrating continuous security monitoring as well as Test-Driven Development and Test Automation throughout the development and operations lifecycles.
RESPONSIBILITIES
· Design, develop, implement, and manage DevSecOps CI/CD pipelines using open-source and commercial off-the-shelf (COTS) solutions.
· Establish, maintain, and continuously improve DevSecOps processes, including Infrastructure as Code (IaC), test automation, CI/CD pipelines, and configuration management.
· Design and support infrastructure that enables Test-Driven Development (TDD) and automated testing practices.
· Provide operational support and maintenance for AWS cloud infrastructure and platform services.
· Serve as a subject matter expert, providing security engineering guidance to development and operations teams.
· Implement security controls, compliance initiatives, and risk mitigation strategies in support of program and product objectives.
· Lead and support security reviews, vulnerability assessments, security scans, and penetration testing activities.
· Ensure deliverables meet established quality standards and user acceptance criteria.
· Manage priorities and execute assignments independently with minimal supervision.
· Meet project timelines and commitments while delivering high-quality solutions and documentation.
· Act as a trusted advisor for DevSecOps automation and tooling initiatives by providing practical recommendations and technical leadership.
· Recommend, implement, and promote industry best practices, standards, and emerging technologies.
Qualifications: QUALIFICATIONS
Minimum:
· U.S. Citizen or authorized to work in the United States and have resided in the U.S. for at least three (3) of the last five (5) years. Must be eligible to obtain a U.S. Federal Government Public Trust clearance.
· Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. Equivalent experience may be considered.
· 10+ years of IT experience, including at least 6 years of hands-on experience implementing DevSecOps practices in AWS cloud environments.
· Experience with Infrastructure as Code (IaC) tools, including Terraform and/or AWS CloudFormation.
· Demonstrated ability to design, implement and maintain CI/CD pipelines using tools such as GitLab, Jenkins, GitHub, or similar platforms.
· Experience supporting AWS cloud infrastructure, including cloud-native services, networking, security, monitoring, and automation.
· Expertise in integrating security controls, automated testing, vulnerability management, and compliance requirements into the software development lifecycle.
· Proficiency with Linux administration, scripting (Python, Bash, PowerShell, or similar), version control systems, and Agile/Scrum methodologies.
Preferred:
· Previous CMS or federal government contracting experience.
· AWS certification(s), such as AWS Certified DevOps Engineer Professional, Solutions Architect Professional, or Security Specialty.
· Experience with Kubernetes, Amazon EKS, OpenShift, or similar container orchestration platforms.
· Knowledge of federal security frameworks, including NIST, FedRAMP, FISMA, or STIG requirements.
· Experience supporting MLOps or machine learning engineering environments.