Senior Full Stack Java Engineer – Workforce Management

Posted 5 days ago

This is a fully remote position, open to applicants in Texas.

πŸ“‹ Description

β€’ Design and develop capabilities for workforce planning, forecasting, scheduling, and optimization utilizing Java, Spring Boot, and domain-driven design methodologies.

β€’ Create microservices for forecasting, staffing calculations, schedule creation, shift management, adherence, exceptions, and operational reporting.

β€’ Build responsive workforce applications using TypeScript and React tailored for planners, supervisors, and employees.

β€’ Design and consume REST APIs following an API-first methodology.

β€’ Define and uphold OpenAPI/Swagger contracts and versioning standards.

β€’ Implement event-driven workflows for schedule modifications, agent states, queue metrics, forecasts, and adherence events.

β€’ Integrate workforce management capabilities with CX platforms, ACD and routing systems, HR systems, payroll, identity services, and enterprise data platforms.

β€’ Model workforce and operational data in PostgreSQL and other relational databases.

β€’ Containerize services and engage in cloud-native deployment patterns, configuration management, and maintaining environment consistency.

β€’ Construct and manage CI/CD pipelines, including Jenkins, automated testing, quality gates, and repeatable deployment processes.

β€’ Diagnose production issues and enhance performance, batch processing, concurrency, scalability, and reliability.

β€’ Participate in code reviews, technical design discussions, architecture meetings, sprint planning, and continuous improvement initiatives.

β€’ Collaborate with Product, Operations Research, QA, DevOps, UX, and other stakeholders to transform needs into actionable solutions.


⛳️ Requirements

β€’ Over 8 years of experience in full-stack software development, including management of production applications.

β€’ Strong grasp of workforce management principles, such as forecasting, staffing, scheduling, adherence, intraday management, shrinkage, occupancy, and service level management.

β€’ Experience with intricate business rules engines, optimization logic, scheduling algorithms, or workforce planning processes.

β€’ Robust hands-on experience with Java and Spring technologies, especially Spring Boot, REST services, security, and data persistence.

β€’ Solid frontend development expertise with Angular or React, TypeScript, component-based design, state management, and contemporary testing practices.

β€’ Familiarity with Node.js for integrations, lightweight services, build tools, or supporting components.

β€’ Experience in integrating workforce management with ACD, routing, HR, payroll, CRM, or data warehouse platforms.

β€’ Proven track record in designing REST APIs, microservices, and event-driven services within distributed environments.

β€’ Strong SQL capabilities with experience in crafting efficient data models in PostgreSQL or similar relational databases.

β€’ Experience in developing, deploying, or supporting cloud-based and containerized applications.

β€’ Excellent communication skills, including the ability to create clear technical documentation and facilitate client-facing workshops.

β€’ Experience with AWS services and Amazon Connect is preferred.

β€’ Familiarity with building configurable rule engines for labor policies, scheduling constraints, or workforce optimization scenarios is a plus.

β€’ Exposure to workforce forecasting models, simulation techniques, optimization algorithms, or machine learning applications in workforce planning is desirable.

β€’ Experience with real-time operational data processing and event-driven architectures that support workforce adherence and performance management is advantageous.

β€’ Familiarity with Kafka, RabbitMQ, or similar messaging and event-streaming technologies is beneficial.

β€’ Exposure to workforce analytics, optimization techniques, or operational research concepts is a plus.

β€’ Familiarity with Jenkins, Kubernetes, cloud platforms, observability tools, and secure software delivery practices is advantageous.

β€’ Practical experience with AI-assisted software development or AI-enabled solutions, including tools such as Claude or GitHub Copilot, is a plus.


🏝️ Benefits

β€’ Comprehensive compensation and benefits package.

β€’ Health insurance.

β€’ Language courses.

β€’ Relocation program.

β€’ Opportunities for professional development.

β€’ Certification programs.

β€’ Mentorship and talent investment initiatives.

β€’ Internal mobility opportunities.

β€’ Internship opportunities.

β€’ Collaboration on impactful projects for leading global clients.

β€’ An inclusive and supportive work environment.

β€’ Regular team-building social events.

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