Jobs at Workiy

Develop, administer, integrate, and support IBM Datacap enterprise document-processing solutions. Responsibilities include building rulesets, workflows, actions, OCR and extraction processes; managing Datacap and Rulerunner environments; troubleshooting production issues; developing REST, SOAP, database, and FileNet integrations; supporting testing, releases, DevSecOps, security controls, and Agile product development.

Supports technology modernization and digital service-delivery initiatives in a public-sector correctional environment. Gathers and translates business requirements into technical specifications, facilitates process improvement and re-engineering, develops integrated system designs, analyzes complex problems, and coordinates with stakeholders, vendors, technical teams, and project leadership to improve secure infrastructure and video visitation services.

Leads business analysis for healthcare interoperability and digital health initiatives. Elicits and documents requirements, analyzes healthcare data mappings and workflows, facilitates stakeholder workshops, and supports integration, system, and UAT testing. Coordinates issue resolution, implementation, deployment, go-live, change management, and technology evaluation while monitoring risks and dependencies across complex multi-stakeholder projects.

Design scalable, secure healthcare data solutions on Google Cloud. Responsibilities require deep FHIR and healthcare interoperability expertise, including HL7 FHIR standards, healthcare APIs, legacy healthcare formats, integration engines, data modeling, analytics, and GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Run, and IAM. The role requires extensive cloud architecture experience and preferably a GCP Professional Cloud Architect or Professional Data Engineer certification.

Lead a university-wide total compensation modernization for up to 550 roles. Responsibilities include developing total rewards philosophy, market benchmarking, pay structures, financial models, salary policies, merit and performance frameworks, governance, stakeholder communications, and implementation roadmaps aligned with a parallel job architecture initiative. The consultant will also support executive engagement, change management, pay equity, EDIA integration, and optional HRIS implementation.

Develop responsive, production-ready front-end applications for a modern document authoring platform. Translate UX/UI and Figma designs into accessible interfaces, build authoring workflows, integrate RESTful APIs and backend services, and support AWS-hosted environments. The role includes front-end architecture, component-based development, state management, troubleshooting, performance optimization, code reviews, and cross-functional collaboration while delivering a scalable MVP in an Agile environment.

Lead Salesforce DevOps and enterprise release management across multiple environments and business teams. Design and maintain Copado-based CI/CD pipelines, manage deployments across Development, QA, UAT, and Production, and enforce Git, branching, and environment-management practices. Coordinate cross-functional release activities, troubleshoot deployment issues, support governance, rollback planning, release validation, and post-deployment processes, and improve deployment automation and release efficiency.

Lead backend architecture for an internal reporting and business intelligence platform. Own technical roadmaps, make cross-service architectural decisions, establish engineering standards, review designs and code, solve complex technical problems, coordinate dependencies, manage technical debt, partner across teams, mentor engineers, and contribute hands-on code for high-risk work.

Lead the architecture, development, and implementation of an enterprise-grade agentic AI orchestration platform. Build reusable AI components and intelligent agents using Claude, LangGraph, RAG, vector databases, MCP, prompt engineering, and multi-agent workflows. Develop scalable FastAPI APIs, ensure AI security and responsible AI practices, support enterprise or regulated data environments, and provide technical leadership across architecture and engineering efforts.

Develops, tests, debugs, deploys, and supports enterprise mainframe applications using COBOL, JCL, DB2, VSAM, and CICS. Responsibilities include production troubleshooting, defect resolution, UAT support, implementation, post-deployment stabilization, stakeholder collaboration, and mentoring offshore development teams. The role also contributes to application modernization and continuous improvement initiatives. Healthcare application and claims adjudication experience is preferred.

Own CI/CD pipeline architecture, Salesforce sandbox and branching strategies, release governance, automated testing, and deployment processes across Salesforce environments. Introduce AI-assisted development and delivery tools to improve testing, code review, and deployment risk detection. Troubleshoot Salesforce deployment failures and manage metadata-heavy repositories using Git, Salesforce CLI, and DevOps platforms.

Design, develop, test, and deploy scalable full-stack applications. Build Python backends, TypeScript frontends (Angular/React), REST APIs and microservices, integrate databases, use AWS for deployment, contribute to CI/CD, troubleshoot production issues, and follow best practices and testing processes.

Design, develop, integrate, and maintain scalable web applications and backend services using .NET Core and Python. Build RESTful APIs and microservices, optimize database queries, implement security and authentication, support CI/CD and cloud deployments, participate in Agile/Scrum, perform testing and performance tuning, and produce technical documentation.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.

Design, build, and deploy cloud-native frontend and backend applications integrating Generative AI and LLMs. Develop APIs/microservices on AWS, implement data engineering with Databricks/PySpark, and use containerization and CI/CD for scalable, secure solutions. Collaborate with product and engineering teams and drive best practices in AI and cloud architecture.

Design, develop, test, and maintain scalable web applications using Java, Spring Boot, microservices, and Angular. Build REST APIs, work with SQL databases, and collaborate with cross-functional teams following Agile/Scrum practices.