Jobs at ShyftLabs

Responsible for managing HR initiatives, ensuring compliance, overseeing talent acquisition, and developing employee performance systems while fostering a positive work culture.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

Design, develop, and maintain Java microservices for order processing and inventory updates; build RESTful and message-driven integrations (Kafka/ActiveMQ/JMS); ensure HA, scalability, and security; support CI/CD and containerized deployments (Docker/Kubernetes); troubleshoot production issues and collaborate with product, architecture, and operations teams.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

Design, build, and maintain scalable batch and real-time ETL/ELT pipelines on GCP, manage BigQuery data warehouse, implement data models and transformations in SQL/Python, enforce data quality and governance, optimize infrastructure for performance and cost, and collaborate with analysts and data scientists to enable BI consumption.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

The Senior Manager, Business Operations will lead contract management, support financial operations, ensure compliance, and optimize internal processes while enhancing client relations and business strategy execution.

Lead a team of engineers to develop AI applications, drive architectural decisions, mentor staff, and implement agile practices for innovative AI products.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

The Senior Workday Integration Developer designs and develops integration solutions across HCM, Payroll, Benefits, and Recruiting modules using various Workday tools, while also handling testing and production support.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

Develop and maintain ETL pipelines, manage data streaming solutions, optimize performance, and translate business requirements into scalable data systems.

The MDM Platform Engineer is responsible for end-to-end data modeling for MDM, ensuring data quality, governance, and integration from various sources while developing and delivering software solutions.

The DevOps Engineer will optimize cloud computing solutions, enhance infrastructure performance, ensure high availability, and manage CI/CD tools while collaborating with development teams.

The Operations Manager will oversee administrative operations, support talent acquisition, manage vendor relationships, and ensure efficient office functioning while aligning with company goals.

The Database Developer will design, implement, and maintain database systems, optimize performance, ensure security, and collaborate with teams for effective solutions.

The Senior Software Engineer will lead complex technical initiatives, build scalable applications using Python and React Native, and ensure system reliability and performance while guiding teams and driving improvements across multiple platforms.

The Data Architect will lead the design of a Customer Data Mart, ensuring scalable solutions, implementing data architectures, and mentoring teams. Responsibilities include defining data modeling standards and contributing to data governance initiatives.

The Tech Lead/Solution Architect will design and deliver cloud solutions, lead architecture reviews, coordinate teams, and engage with clients to execute data and application projects.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.