Jobs at Workiy

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 multiple enterprise IT projects involving AI, Microsoft 365, cloud services, messaging modernization, and infrastructure. Responsibilities include planning, scheduling, budgeting, resource and vendor management, risk mitigation, requirements gathering, stakeholder coordination, executive reporting, solution delivery, UAT support, governance, change management, and continuous improvement. The role requires alignment with enterprise architecture, policies, standards, and business objectives.

Leads comprehensive testing for a consumer-facing digital solution, including UAT, functional, regression, integration, data validation, end-to-end testing, defect management, and acceptance-criteria validation. Develops training and business-readiness materials, facilitates user walkthroughs and knowledge transfer, and supports deployment, go-live, and stabilization. Collaborates with product, business, technical, and stakeholder teams in Agile environments while applying and validating AI-generated testing and documentation outputs.

Perform software verification and validation across enterprise applications and digital solutions. Develop, execute, and maintain test cases; conduct regression, integration, and release validation testing; identify, document, track, retest, and close defects; and collaborate with technical and business stakeholders in Agile and DevOps environments.

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.

Build and maintain scalable cross-platform mobile applications using React Native for iOS and Android. Design mobile architecture, integrate REST APIs, implement state management, optimize performance, debug and test applications, and collaborate in Agile/Scrum environments.

Design, develop, and maintain scalable web applications using the MERN stack. Build responsive front-ends with React, backend services with Node and Express, and manage MongoDB databases. Develop and consume RESTful APIs, integrate third-party services, implement authentication (JWT/OAuth), optimize performance, participate in Agile ceremonies and code reviews, and troubleshoot production issues.

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.

The role involves designing and integrating intelligent translation workflows using machine translation, generative AI, and prompt engineering, ensuring compliance and performance optimization.

Support a major client project by automating CI/CD pipelines, managing cloud infrastructure, writing Terraform infrastructure code, and operating containerized environments (Docker, Kubernetes) to streamline software delivery and SRE/DevOps operations.

Design, develop, test, and maintain scalable web applications using Java, Spring Boot, and Angular. Build RESTful APIs and microservices, create responsive front-end interfaces, perform unit testing and debugging, participate in code reviews and Agile ceremonies, and optimize performance, security, and reliability.

Design, implement, administer, and optimize enterprise backup and recovery solutions across hybrid environments. Serve as L3 escalation for backup/storage issues, lead DR planning/testing, ensure ransomware protection, automate backup workflows, tune performance, and collaborate with infrastructure and security teams to maintain high availability and data integrity.

Lead end-to-end IT separation projects within the Quality function: plan, execute, monitor, and close projects using SDLC and Waterfall. Manage stakeholders, governance, risks, quality metrics, testing, deployments, change readiness, and cross-team coordination in a fast-paced, low-structure environment.

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.

Lead design, development, and delivery of scalable .NET enterprise applications. Provide technical leadership, mentor teams, design architectures, enforce best practices, conduct code reviews, and collaborate with stakeholders to implement cloud-native, CI/CD-driven solutions using C#, ASP.NET, .NET Core/6, SQL Server, Entity Framework, and Azure.