Contractor: DevOps Engineer

About Abacus Insights At Abacus Insights, we believe the right information, in the right hands, at the right time, improves health. And that for too long, health payer data has been disconnected and unusable. As data is now health plans’ most strategic asset, Abacus Insights’ AI data platform for payer intelligence quickly transforms their messy, disconnected data into a reliable, AI-ready infrastructure. A data infrastructure that powers business-critical analytics, agents, and real-world workflows. Building this infrastructure in-house takes long implementation cycles and highly skilled teams. Our clients skip that work, instead getting a proven platform, 150+ pre-built connectors, and deep payer expertise, backed by 35 customers and 65 million covered lives. Working with Abacus lets payers transform their business and power better health.

Abacus Insights

The AI Data Platform for Payer Intelligence

Data ManagementAnalyticsHealthcare Data TransformationHealthcare Data ManagementRisk AdjustmentCMS InteroperabilityClinical DataPayment IntegrityAIand HEDIS/Stars Quality Improvement

A

abacusinsights.com

201-500 employees

Software Development

Boston, Massachusetts

2017

Privately Held

14k LinkedIn followers

Raised $94.5M

• Build and maintain secure, scalable, HIPAA- and HITRUST-compliant infrastructure on multiple cloud platforms (AWS and Azure)
• Design, implement, and manage scalable, secure, and highly available cloud infrastructure
• Contribute to DevOps architecture best practices and help shape our approach to CI/CD and infrastructure as code (IaC)
• Collaborate with engineering, product, and security teams to design robust infrastructure solutions
• Develop and maintain CI/CD pipelines using Python-based scripts to automate testing, validation, and deployment workflows
• Build and manage containerized environments using Docker and Kubernetes (EKS, AKS, and self-hosted)
• Implement monitoring and observability using tools like Prometheus, Grafana, and Splunk
• Support the design, implementation, and adoption of our custom Python- and Cloud-based deployment platform with an eye toward continuous delivery
• Promote best practices both within the team and within the larger organization

• 4+ years of development experience, including work on complex systems
• Strong cloud experience, AWS preferred
• Solid understanding of Linux systems administration and networking
• Experience implementing a CI/CD system using an industry-standard platform such as GitLab, Jenkins, or Travis
• Knowledge of containerization, specifically Docker and Kubernetes
• Fluent command of the tools of the trade, including Bash, Python, or Terraform
• Knowledge of best practices as related to designing and building efficient, maintainable, testable, portable applications
• Keen attention to detail
• Excellent communication skills, both written and verbal
• A team-first attitude, always looking to improve yourself and those around you
• Bachelor's Degree in Computer Engineering or other relevant field
• At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
• To protect the integrity of our hiring process, all interviews are conducted by live video with your camera on. Virtual or blurred backgrounds and headsets are not permitted absent an approved accommodation, and you should be in a well-lit, private space where your face and surroundings are clearly visible. Candidates who advance may also be asked to complete identity and location verification, which may include verifying your identity, work history, and confirming that you are located where your application states. Applications containing knowingly false or materially misrepresented information, including identity, location, or credentials, may be disqualified, and any offer may be rescinded if a material misrepresentation is discovered at any point in the process.
• If you need an accommodation for any part of the interview process, please let your recruiter know in advance.