About Avandra Imaging

Avandra Imaging's mission is to organize the world's medical images in order to accelerate innovation and unlock patient access to the best care in the world. Avandra is poised to revolutionize healthcare research and innovation by creating the largest indexed data cloud of medical imaging. This platform will unlock unprecedented access to real-world imaging data, essential for biopharma research, medical device innovation, AI model training, and improved patient care. Leveraging its strategic acquisitions, Avandra aims to aggregate and de-identify vast amounts of imaging data, providing frictionless access to this invaluable resource. Avandra has a national footprint of over 5,000 customer integrations and a market share of approximately 70% -- this robust infrastructure supports our core business, ensuring continued growth and cash flow to fuel our innovative data cloud platform.   

Under the leadership of Founder and CEO Ryan Tarzy, Avandra's experienced team is well-equipped to capitalize on this opportunity. Avandra’s business model centers on generating recurring subscription revenue from its cloud platform, offering indexed, cleansed, and enhanced imaging data to health systems, AI companies, and biopharma firms. The go-to-market strategy focuses initially on data marketplaces to drive near-term sales, with plans to expand direct sales efforts targeting AI/ML companies, medical device firms, and biopharma companies. This strategic approach positions Avandra as a leading player in the competitive landscape, with the potential for substantial growth and international expansion in the coming years.

About the Job

As a Part-Time System Engineer at Avandra Imaging, you will be an early-career technical generalist supporting the stability, reliability, and performance of our systems. This role bridges frontline technical support, quality assurance, and systems automation, enabling Engineering teams to move quickly and confidently.

This is a hands-on, growth-oriented role designed for candidates early in their technical careers who are eager to build strong foundations in systems engineering, automation, and troubleshooting in a real-world production environment.

What You’ll Do:

Technical Support & Systems Troubleshooting

• Diagnose and resolve software, system, and infrastructure issues across Avandra’s products and internal tooling
• Act as a technical point of contact for escalated or ambiguous issues impacting reliability, performance, or accessibility
• Support deployment, configuration, and maintenance of software, hardware, and internal systems

Quality Assurance

• Contribute to the quality and reliability of Avandra’s software through structured QA processes
• Write and maintain automated test suites (integration, regression, smoke tests)
• Participate in release testing and validation efforts
• Ensure appropriate test coverage for new features and critical infrastructure

System Automation

• Write scripts and tools for deployment, monitoring, and troubleshooting
• Support infrastructure provisioning and configuration using automation tools (e.g., Terraform, Ansible)
• Improve system observability through logging, alerting, and dashboards
• Identify repetitive tasks and build automated solutions to reduce manual effort

What You’ll Need:

• Experience in a technical role (support, QA, IT operations, help desk) or relevant academic, bootcamp, or project experience
• Basic proficiency with Linux/Unix or macOS command-line environments
• Familiarity with at least one scripting language (Python, Bash, JavaScript, Go, etc.)
• Understanding of APIs, client/server concepts, and modern web applications
• Ability to read and interpret logs, error messages, and system metrics at a foundational level
• Basic experience with databases (queries, connections, or schema concepts)

What You’ll Bring to the Table:

• Problem-Solving Mindset: Ability to break down ambiguous technical problems into clear, actionable steps
• Curiosity & Learning Agility: Strong desire to learn new systems, tools, and technologies quickly
• Automation Orientation: Interest in reducing manual work through scripting, tooling, and process improvement
• Collaboration & Communication: Ability to work cross-functionally with Engineering, Product, and Support teams
• Ownership & Initiative: Willingness to take responsibility, ask questions, and escalate issues appropriately

Benefits & Perks:

• Impact: Work on systems that support one of the largest medical imaging data platforms in the world
• Growth: Structured exposure to systems engineering, QA, automation, and cloud infrastructure
• Culture: Collaborative, engineering-driven environment focused on learning and continuous improvement
• Equity: Opportunity to participate in a high-growth, equity-driven company

Hourly Rate / Compensation:

• $20.00 per hour

What Impact You'll Have:

Join GRVTY’s mission-focused team as a DevSecOps Engineer, where you’ll have the opportunity to enable secure, automated, and scalable deployment of advanced data analytics tools. You’ll help bridge the gap between development and operations – ensuring that AI/ML and analytic software runs reliably and securely in mission environments.

What You'll Be Owning:

• Design, deploy, and maintain containerized environments for analytic software (Docker, Kubernetes).
• Implement CI/CD pipelines to automate build, test, and deployment processes.
• Integrate cybersecurity best practices into all development activities.
• Collaborate with engineers and analysts to optimize system performance and uptime.
• Support data ingestion, workflow automation, and system monitoring.

What You Must Have:

• You must have a TS/SCI Security Clearance with the ability to obtain a CI/Poly
• Bachelor’s degree in Computer Engineering, Information Systems, or related field.
• Experience with DevOps tools (GitLab CI, Jenkins, Ansible, Terraform, etc.).
• Strong knowledge of Linux systems administration and network security fundamentals.
• Familiarity with Python scripting and automation.

What Would Be Nice to Have: 

• Experience with DoD cybersecurity frameworks (RMF, STIG, or NIST 800-53).
• Understanding of cloud-native architectures or hybrid deployments.
• Background in AI/ML infrastructure support or data pipeline optimization.

This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.