Engineering Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Lead based in United States.

This role offers the opportunity to lead the technical direction of a global Workforce Management technology track. You will architect and implement end-to-end solutions using UKG ProWFM and modern integration technologies across enterprise systems. The position combines engineering leadership, cloud architecture, API integration, automation, and emerging AI capabilities. You will serve as a technical subject matter expert while guiding implementation teams and external partners through complex transformation initiatives. Your work will help improve workforce processes, connectivity, reliability, scalability, and user experience across multiple markets. This is a remote, full-time opportunity suited to an experienced technology leader who enjoys solving complex challenges and driving innovation.

Accountabilities

• Lead the design, architecture, and implementation of end-to-end Workforce Management solutions using UKG ProWFM , including timekeeping, absence management, scheduling, forecasting, SWP, Datahub, and related capabilities.
• Act as the technical subject matter expert for WFM implementations, upgrades, enhancements, and large-scale deployment initiatives.
• Architect and govern integrations between workforce management platforms and enterprise systems such as HRIS, payroll, ERP, reporting, and time-tracking solutions.
• Design scalable, secure, and reliable integration solutions using platforms such as Boomi, MuleSoft, BTP , and related technologies, with a focus on data accuracy, connectivity, and low latency.
• Analyze business requirements and technical environments to develop practical application designs, support product discovery, and translate complex requirements into scalable technical solutions.
• Establish and improve implementation processes, milestones, connectivity, reliability, and delivery practices to ensure projects meet targeted timelines.
• Identify opportunities to apply AI, automation, data pipelines, and agentic processes to enhance workforce management workflows and user experiences.
• Develop and maintain technical documentation, including architecture and design specifications, process documentation, user guides, and training materials.
• Ensure solutions comply with applicable security, data governance, privacy, and regulatory requirements across different markets and geographies.
• Guide technical teams and partners, lead other engineers, coordinate multiple deliverables, and support training and knowledge-sharing initiatives.
• Promote Agile delivery practices, including Scrum or Kanban, while collaborating effectively with product, engineering, business, and external partner teams.

Requirements

• 8+ years of overall technology experience , including at least 3 years of hands-on UKG/Kronos ProWFM implementation experience .
• Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or a related discipline, or equivalent relevant experience.
• Strong experience designing and deploying cloud-based applications, preferably within Google Cloud Platform (GCP) environments.
• Knowledge of applying AI to business and engineering workflows , including familiarity with LLMs, RPA, machine learning platforms, and related OpenAI concepts.
• Strong programming knowledge in languages such as Java and Python , combined with experience designing APIs and event-driven systems.
• Extensive integration experience covering REST APIs, web services, synchronous and asynchronous communication, API management, versioning, documentation, monitoring, and observability.
• Proficiency with Boomi AtomSphere , including custom connectors, APIs, process flows, and enterprise integration patterns.
• Experience with event-driven architecture and data-streaming technologies such as Kafka, IBM MQ, or GCP Pub/Sub .
• Strong DevOps and CI/CD knowledge, including hands-on experience with Jenkins, GitHub, and GitHub Actions .
• Experience with Kubernetes, Docker, serverless architectures , and cloud-based integration techniques.
• Strong testing discipline, including test-driven development and automated testing for web services, APIs, and distributed architectures.
• Hands-on database experience with SQL/RDBMS, NoSQL, PostgreSQL, BigQuery, and Looker Studio .
• Knowledge of cloud and microservices security, authentication, encryption, data protection, and GDPR compliance .
• Ability to coordinate multiple concurrent deliverables across internal teams and external partners while maintaining strong attention to quality and deadlines.
• Excellent communication, collaboration, problem-solving, and leadership skills, with a willingness to work flexibly across global teams and project schedules.
• An open-minded, continuous-learning mindset and enthusiasm for adopting emerging technologies, particularly in AI, data engineering, and automation .

Benefits

• $150,000–$180,000 annual starting salary , with actual compensation depending on factors such as location, qualifications, education, performance, and business needs.
• Incentive and rewards programs.
• 401(k) matching to support long-term financial planning.
• Health insurance and other healthcare benefits.
• Paid leave.
• Product discounts.
• Remote work environment.
• Opportunities to work on global technology initiatives involving cloud, AI, automation, data engineering, and enterprise integration.
• Supportive environment that values diverse backgrounds, perspectives, and experiences.
• Benefits and incentive compensation may vary depending on the specifics of the role.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.