Design, configure, and enhance SAP CPQ solutions while leveraging AI assisted development tools and copilots to accelerate requirement analysis, configuration, testing, documentation, and issue resolution.
Responsibilities
Configure and enhance SAP CPQ processes
Integrate SAP CPQ with CRM, ERP, and eCommerce systems
Use AI copilots to accelerate rule writing, documentation, testing
Support full lifecycle from requirements to deployment and hypercare
Ensure compliance with pricing governance and audit guidelines
Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead efforts to identify and implement process improvements that enhance team productivity and software quality
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Configure and enhance core SAP FI components including General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, Banking, Tax, and Financial Closing
Translate business requirements into scalable SAP configurations using AI copilots
Support end to end delivery across requirements gathering, solution design, configuration, testing, deployment, and hypercare
Integrate SAP FI with other SAP modules (MM, SD, CO, AA) and external systems through standard integration patterns/APIs
Use AI copilots for drafting functional specifications, validating configuration, generating test scripts, impact analysis, and documentation
Lead full‑stack software development for ground systems of autonomous underwater vehicles, owning architecture, implementation, testing, and field support.
Responsibilities
Serve as the Responsible Engineer for the ground software stack
Develop greenfield ground software from initial requirements through field‑tested production
Build frontend and backend software for mission planning, operator workflows, vehicle supervision, telemetry visualization, data review, post‑mission analysis, and remote mission‑control workflows
Design and implement operator‑facing interfaces
Build backend services, APIs, data models, and application logic
Lead Full Stack Developer responsible for guiding a team in designing, developing, and maintaining full‑stack solutions across cloud and on‑prem environments.
Compensation
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
Responsibilities
Provides technical guidance to team members
Coordinates daily activities of a Scrum team
Designs and develops cross‑functional, multi‑platform application systems
Writes high‑quality code with automated testing
Performs performance tuning, monitoring, deployment and production support
Develops, implements, and maintains testing activities for custom and off-the-shelf applications, including test plans, cases, and scripts, and supports UAT and performance testing.
Responsibilities
Responsible for functional application testing, including development of system test plans, cases, test data, and expected/actual results.
Develops and implements regression test plans and strategies.
Develops and implements test cases designed to test XML interfaces as well as system testing.
Supports internal User Acceptance Testing with clinical analysts.
Supports external UAT and performance testing with customers and partners.
The AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth.
Responsibilities
Design and implementation of the environment that deploys scalable AI/ML solutions, including predictive models, large language model use cases, and agentic workflows that support clinical, operational, and business objectives.
Develops and maintains end-to-end machine learning and RAG pipelines supporting data ingestion, application feature engineering, training, evaluation, deployment, and lifecycle management.
Architects and supports production-grade DevOps practices, including CI/CD, model versioning, automated testing, monitoring, alerting, retraining, and rollback strategies.
Deploys and manages AI/ML applications in cloud environments, ensuring solutions are secure, reliable, performant, and operationally supportable.
Implements observability and performance evaluation practices to manage compute resource utilization, performance, and cost efficiency.
Lead technical architect and engineer for customer financial execution products, driving design, integration, and delivery of scalable, reliable services across SAP and modern cloud platforms.
Compensation
United States: 171,000 - 198,000 USD
Responsibilities
Lead technical direction and architecture for product team
Design and build scalable, maintainable services and APIs
Integrate SAP and other enterprise platforms
Mentor and coach engineering staff
Drive quality through CI/CD, testing, and observability
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
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