Ontrac Solutions

Project Manager

• Lead and coach Scrum teams on self-organization, cross-functionality, and goal achievement
• Facilitate sprint planning, daily scrum, sprint review, and sprint retrospective ceremonies
• Identify and remove impediments hindering team progress
• Coach development teams, Product Owners, and stakeholders on Agile principles and practices
• Foster communication and collaboration within and between Scrum teams and stakeholders
• Support Product Owners with product backlog management and user-story refinement
• Promote Agile adoption and continuous improvement across the organization
• Track and communicate team progress, velocity, and other metrics
• Mediate and resolve conflicts within Scrum teams and with external stakeholders
• Contribute to scaling Agile practices across multiple teams
• Drive continuous improvement through retrospectives and follow-through on agreed actions
• Provide Scrum and Agile training and guidance
• Communicate with delivery and customer stakeholders at all organizational levels
• Collaborate with the PMO on status updates, issues, risks, decisions, and change requests
• Lead and motivate project teams and oversee engineers and architects across infrastructure modernization, data engineering, and application development
• Help the PMO Center of Excellence evolve and implement lasting organizational change
• Work regularly with customers on opportunity qualification, project kickoff, progress updates, and project close

Senior Project Manager

Scrum Master

• Lead and coach Scrum teams on self-organization, cross-functionality, and goal achievement
• Facilitate sprint planning, daily scrum, sprint review, and sprint retrospective ceremonies
• Identify and remove impediments hindering team progress
• Coach development teams, Product Owners, and stakeholders on Agile principles and practices
• Foster communication and collaboration within and between Scrum teams and stakeholders
• Support Product Owners with product backlog management and user-story refinement
• Promote Agile adoption and continuous improvement across the organization
• Track and communicate team progress, velocity, and other metrics
• Mediate and resolve conflicts within Scrum teams and with external stakeholders
• Contribute to scaling Agile practices across multiple teams
• Provide Scrum and Agile training and guidance
• Communicate with delivery-side and customer-side stakeholders at all organizational levels
• Collaborate with PMO peers and leadership on status updates, issues, risks, decisions, and change requests
• Lead and motivate project teams and oversee engineers and architects across infrastructure modernization, data engineering, and application development
• Help the PMO Center of Excellence implement lasting organizational change
• Work regularly with customers on opportunity qualification, project kickoff, progress updates, and project close

Senior Project Manager / Scrum Master

Full-stack Engineer

• Own features end to end across the React frontend, Node.js service layer, and PostgreSQL data model
• Design and implement application features spanning the React frontend, Spring Boot backend, and PostgreSQL schema
• Build React components and views from Figma mockups provided by the design team
• Design and evolve the PostgreSQL data model, including authoring SQL and writing schema migrations
• Build and maintain the REST API layer between the frontend and Spring Boot services
• Develop and maintain supporting Node.js services and their integration with the Spring Boot backend
• Write unit tests for new and modified code as part of the standard development workflow
• Deploy and configure application components on Google Cloud Platform, including runtime services, the managed database, and object storage
• Set up and maintain CI/CD pipelines covering build, test, and deployment for Java and Node.js components
• Participate in working sessions with the engagement team and customer stakeholders to define requirements and technical approach
• Produce technical documentation covering architecture, API contracts, and the data model
• Work closely with the Engagement Lead, Program Manager, and customer stakeholders from initial definition through final delivery

Senior Full-Stack Software Engineer

• Build REST API integrations between customer and partner systems and the Databricks platform
• Build ingestion and transformation of HL7 messages and CDA / C-CDA documents into Databricks, orchestrated through Azure Data Factory
• Develop integration services in Python and C# / .NET against Databricks and Azure SQL Managed Instance
• Work from the technical design set by the Lead Software Engineer, and contribute to design discussions for assigned integrations
• Deliver work to the customer's technical standards, following its code review, testing, and deployment practices
• Onboard rapidly and begin contributing to integration work early in the engagement
• Communicate progress, risks, and blockers promptly to the Lead Software Engineer and delivery stakeholders
• Work closely with the Lead Software Engineer, delivery team, and customer stakeholders from initial definition through final delivery

Senior Software Engineer

Data Engineer

• Own architecture and technical delivery for a healthcare and pharmacy benefit management data platform expansion
• Architect ingestion pipelines for X12 EDI (835, 837, 832, 810) and MTF files using Azure Data Factory and Databricks
• Design FHIR-based ingestion patterns with incremental sync, throttling, and retry handling
• Define canonical data models for referral, clinical document, and provider-administered drug data
• Extend the metadata-driven ingestion framework to support new payload types without platform redesign
• Architect HL7 ADT / SIU linkage supporting 340B eligibility determination
• Design clinical document storage, indexing, and retrieval architecture for CCD / C-CDA
• Establish trading partner onboarding and configuration patterns
• Guide reporting and analytics data model design for BI consumption
• Partner with client stakeholders and vendor teams on integration points
• Work with client stakeholders and distributed delivery teams from initial definition through final delivery

Data Architect

Platform Engineer

• Support day-to-day backend integration work and policy platform use cases for the customer, delivering changes in Golang against MongoDB, Snowflake, and AWS-hosted services
• Implement assigned integrations and platform features from definition through delivery under the direction of the customer tech lead and the Staff Security Platform Engineer (IC5)
• Deliver work to the customer's technical standards, following the code review, testing, and deployment practices established by the customer's team
• Onboard rapidly and begin contributing to integration work early in the engagement
• Communicate progress, risks, and blockers promptly to the Staff engineer, the customer tech lead, and delivery stakeholders
• Work closely with the delivery team, the Staff Security Platform Engineer (IC5), and customer stakeholders from initial definition through final delivery

Senior Security Platform Engineer – IC4

• Support day-to-day backend integration work and policy platform use cases for the customer, delivering changes in Golang against MongoDB, Snowflake, and AWS-hosted services
• Own technical design for assigned integrations from definition through delivery, and document design decisions for the customer tech lead and delivery stakeholders
• Deliver work to the customer's technical standards, following the code review, testing, and deployment practices established by the customer's team
• Provide technical direction and code review for the Senior Security Platform Engineer (IC4) staffed on the same engagement
• Onboard rapidly and begin contributing to integration work early in the engagement
• Communicate progress, risks, and blockers promptly to the customer tech lead and delivery stakeholders

Staff Security Platform Engineer – IC5

• Maintain and improve the software quality of genomics pipelines running in the customer's on-premise HPC environment
• Tune pipeline performance in the HPC environment
• Automate pipeline operations and recurring engineering tasks
• Provide operational support, troubleshoot failures, and resolve issues in the movement and delivery of genomic data
• Implement and maintain integrations between pipelines, laboratory systems, and sequencing instruments
• Implement and maintain technical infrastructure enabling the movement, analysis, and delivery of genomic data alongside the customer's bioinformatics team
• Support additional pipeline workload arising from the LIS transition from Soft to Epic Beaker
• Participate as a full member of an agile pipeline team throughout the engagement
• Collaborate with the delivery team and customer stakeholders from initial definition through final delivery

Software Engineer – Bioinformatics Pipelines

Application Engineer

• Build and maintain Python and FastAPI backend services and PostgreSQL data models
• Implement agent and multi-agent workflows using Vertex AI, Gemini models, and ADK
• Implement retrieval and grounding through Vertex AI Search where required
• Develop the React and TypeScript front end
• Package and deploy services to Cloud Run
• Manage application data and artifacts in Cloud Storage
• Write and maintain automated tests using pytest and Playwright
• Participate in working sessions with the delivery team and customer stakeholders to refine requirements, resolve technical questions, and demonstrate progress
• Produce technical documentation to support handover at the close of the engagement
• Own features end to end from data model through user interface
• Work closely with the delivery lead, Program Manager, and customer stakeholders from initial definition through final delivery

Full-Stack AI Application Engineer

• Set and communicate product vision and roadmap
• Own the product backlog, write user stories, define acceptance criteria, and refine work
• Prioritize scope, budget, timeframe, customer value, goals, and defect resolution
• Plan product releases and schedule benchmarks and upgrades around customer approval processes
• Lead and coach Scrum teams toward self-organization and cross-functionality
• Facilitate sprint planning, daily stand-ups, sprint reviews, and retrospectives
• Identify and remove impediments to sprint and release goals
• Coach development teams and stakeholders on Agile principles and practices
• Serve as primary contact between delivery teams and stakeholders
• Track and report progress, velocity, and other relevant metrics
• Contribute to scaling Agile practices across the program
• Drive continuous improvement through retrospectives and follow-through on agreed actions
• Lead delivery teams across infrastructure modernization, data engineering, and application development
• Collaborate with PMO peers and leadership on status, issues, risks, decisions, and change requests
• Work regularly with customer stakeholders from engineers and technical project managers to executives
• Participate in onboarding, compliance training, learning assignments, and meetings