Full-stack Engineer

• Provide technical leadership across the OnePACS platform and related imaging workflows.
• Design, develop, maintain, and modernize Java-based platform services and applications.
• Lead architecture and design discussions for scalability, reliability, security, interoperability, compliance, and maintainability.
• Support modernization of legacy platform components while maintaining production stability.
• Partner with Engineering, Product, QA, DevOps, Implementation, and Support to improve platform reliability and operational readiness.
• Troubleshoot complex production issues involving application behavior, DICOM workflows, HL7 interfaces, routing, configuration, and customer-specific scenarios.
• Mentor engineers through technical design, code reviews, troubleshooting, and knowledge sharing.
• Improve documentation, runbooks, diagnostics, and repeatable support patterns.
• Help reduce technical risk by making critical system knowledge more durable, visible, and broadly shared.
• Contribute to strategic product initiatives involving imaging workflow automation, reporting, AI integrations, DICOM router modernization, viewer modernization, and interoperability improvements.
• Work within Agile/Scrum delivery practices to support predictable planning, execution, and continuous improvement.

Staff Software Engineer – PACS

• Install, configure, and maintain IBM z/VM systems
• Manage lifecycle of virtual machines (guests): Provisioning, Scaling, Decommissioning
• Administer z/VM components such as: DirMaint, VMSES/E, RACF for z/VM security
• Apply system maintenance: RSUs, PTFs, APARs, and service updates
• Perform system IPLs and hardware configuration updates via HMC
• Install, configure, and maintain Linux distributions on IBM Z: RHEL, SUSE, Ubuntu
• Support deployment and management of Linux workloads on z/VM
• Ensure system stability, performance, and security compliance
• Perform patching, upgrades, and vulnerability remediation
• Manage file systems, storage, and network configurations
• Monitor system performance and availability: CPU, memory, I/O utilization
• Troubleshoot and resolve system issues: Performance bottlenecks, VM failures, Linux system errors
• Analyze logs and system metrics to ensure operational stability
• Provide L2/L3 support for production environments
• Automate provisioning and operational tasks using: REXX, Shell scripting, Python (preferred)
• Support DevOps and integration initiatives: CI/CD pipelines, Container platforms (Docker, Kubernetes - optional)

Mainframe z/VM, Linux

• Provide technical guidance across multiple teams and initiatives.
• Influence architectural decisions through collaboration, design reviews, and technical coaching.
• Partner with Architecture to establish and evolve technical standards, patterns, and reference implementations.
• Help teams navigate complex technical tradeoffs involving scalability, reliability, maintainability, security, and performance.
• Facilitate technical alignment across teams without becoming a delivery bottleneck.
• Lead adoption of AI-assisted engineering practices and workflows.
• Evaluate emerging AI development tools and identify opportunities to improve productivity and quality.
• Establish best practices for responsible AI-assisted development.
• Help engineering teams leverage AI capabilities while maintaining security, compliance, quality, and maintainability standards.
• Drive experimentation and learning around agentic workflows and AI-enabled software delivery.
• Identify opportunities to reduce technical debt and improve platform sustainability.
• Contribute to modernization initiatives across legacy and modern technology stacks.
• Improve architectural consistency through reusable patterns and shared services.
• Partner with platform and infrastructure teams to improve developer experience and operational effectiveness.
• Promote scalable, cloud-native design principles and modern engineering practices.
• Champion software craftsmanship, code quality, automated testing, observability, and operational excellence.
• Participate in architecture reviews, technical design sessions, and solution evaluations.
• Drive continuous improvement through metrics, feedback, and engineering best practices.
• Help teams improve delivery speed without sacrificing quality.
• Mentor senior engineers and technical leads.
• Help engineers grow their technical depth, decision-making capabilities, and business understanding.
• Share knowledge through design reviews, technical presentations, documentation, and coaching.
• Partner with Product, Delivery, QA, Architecture, Security, and DevOps teams.
• Translate business objectives into technical strategies and actionable plans.
• Help identify technical risks early and drive mitigation strategies.
• Support strategic initiatives that span multiple teams or domains.

Staff Engineer

• Design, develop, troubleshoot, and debug mission critical software source code using modern software development languages and tools.
• Participate in the full software development lifecycle, working within broadly defined parameters.
• Use Agile development tools such as Jira, Confluence, and Bitbucket/Git to manage work and collaborate with your teams.
• Support creation and updating of all relevant documentation and specifications for design, development and testing.
• Identify potential roadblocks and develop around them.
• Develop maintainable code that matches specification.
• Develop automated tests leveraging a continuous integration process.

Software Engineer

• Design, develop, troubleshoot, and debug mission critical software source code using modern software development languages and tools, such as Java.
• Participate in the full software development lifecycle, working within broadly defined parameters.
• Use Agile development tools such as Jira, Confluence, and Bitbucket/Git to manage work and collaborate with teams.
• Support creation and updating of all relevant documentation and specifications for design, development, and testing.
• Identify potential roadblocks and develop around them.
• Plan and estimate development tasks and work to improve performance metrics.
• Develop maintainable code that matches specification.
• Develop automated tests leveraging a continuous integration process.
• Own delivery of small parts of a system or application.
• Work closely with other engineers to develop the best technical design and approach for new product development.
• Build software solutions where the solution is not always well defined but always considers the customer first.

Senior Software Engineer

• Own the backend services that deliver EDD predictions to merchants and internal consumers — APIs, caching, contracts, and reliability under production load.
• Build Python services suited to high-throughput, low-latency workload.
• Lead API design, service decomposition, and cross-team technical reviews for data product surfaces spanning rules automation, ML-based recommendations, analytics, and configuration systems.
• Own reliability and observability across the services you build—instrumentation, alerting, runbooks, and incident response.
• Partner with data science to bring model outputs into production—owning the API layer, serving infrastructure, and operational reliability of ML-powered features.
• Build and maintain feature pipelines that bridge offline training and online inference, with an emphasis on consistency and data quality.
• Establish MLOps foundations for the team: model deployment patterns, versioning, rollback procedures, A/B test infrastructure, and experiment tracking integrations.
• Instrument ML systems for observability—latency, throughput, drift signals, and prediction quality—so issues surface before they reach merchants.
• Evaluate frameworks, tooling, and architectural patterns for ML serving and make pragmatic recommendations grounded in production experience.
• Set the technical direction for backend and ML systems on the Data Products team—proposing and driving architectural decisions that balance velocity with long-term maintainability.
• Lead design reviews, raise the bar in code reviews, and establish engineering practices the team can follow.
• Mentor other engineers on Software or ML engineering.
• Apply AI tooling to your own workflow and share learnings with the team.

Senior Software Engineer, Data Product

• Build and maintain Python (FastAPI) services with async patterns suited to high-throughput, low-latency workloads.
• Design and implement event-driven integrations (Kafka) to keep data products synchronized with upstream business events.
• Architect PostgreSQL data models that balance query performance with auditability and long-term maintainability.
• Develop APIs that power customer-facing data products—spanning business rules automation, ML-based recommendations, analytics, and configuration systems.
• Build and own React UI surfaces for customer-facing data product features—including management interfaces, dashboards, and configuration tools.
• Collaborate with design and product to translate requirements into polished, accessible interfaces.

Software Engineer III, Data Product

• Responsible for Full-stack development, testing, and maintenance of CBO web applications and backend services
• Builds features across ReactJS front-end and Python/FastAPI backend; manages PostgreSQL data models/migrations; containerizes with Docker and deploys to AWS (ECS/EKS, EC2, S3, RDS, CloudWatch, IAM, VPC)
• Operates in CBO trunk-based development (short-lived branches, feature flags, frequent merge)
• Participates in sprint ceremonies and peer code review
• Writes automated tests (pytest, Jest/RTL)
• Resolves defects/tech debt
• Maintains technical documentation (API docs, ADRs, setup guides)
• Section 508-compliant UI.

Full Stack Software Developer

• Research and identify technology upgrades which will enhance the ability to deliver robust solutions
• Ensure the new projects and enhancements to legacy solutions (where possible) work towards an enterprise architecture as opposed to a proliferation of point solutions
• Work with other technical teams to define and identify cross-functional solutions for integration with new or existing technologies
• Lead application and system architecture design working in conjunction with partners in the areas of architecture and infrastructure
• Lead the effort for design, development and implementation to deliver solutions which are easily maintainable and scalable
• Direct or indirect involvement in the development of policies, standards, and guidelines that direct the selection, development, implementation and use of Information Technology within the enterprise
• Provide coaching and guidance to colleagues to ensure applications, services, and processes are developed in a way that complies with architectural guidelines and established methodologies
• Informs management and provides recommendations for mitigation of potential bottlenecks or single-points of failure within the environment that may affect system performance or availability
• Estimate effort required for the design, development and implementation of technical solutions
• Other duties as assigned

Full-stack Engineer jobs in West Virginia

See all jobs on JobTailor

Staff Software Engineer – PACS

Mainframe z/VM, Linux

Staff Engineer

Software Engineer

Senior Software Engineer

Senior Software Engineer, Data Product

Software Engineer III, Data Product

Full Stack Software Developer

Senior Software Engineer