• Analyze technical requirements and follow established software designs for development, debugging, documentation, and testing • Modify, develop, and implement software programming applications • Support and maintain existing software applications • Participate in the testing process to ensure software quality and performance • Perform maintenance, feature development, quality assurance, documentation, and infrastructure or performance-related work across the application stack • Participate in the establishment and enforcement of development best practices and technical standards • Complete additional requests, projects, and tasks as assigned

Role Description - Full-Stack Application Delivery: Architect and develop end-to-end cloud-native applications on SAP BTP, using the Cloud Application Programming (CAP) Model (Node.js or Java) for scalable backend services and SAPUI5/Fiori for intuitive frontends. - Domain-Driven Data Modeling: Design complex data models and service definitions using Core Data Services (CDS), ensuring seamless persistence in SAP HANA Cloud and efficient OData (V2/V4) service exposure. - Metadata-Driven UI Development: Build responsive user interfaces using Fiori Elements for standardized layouts and Freestyle UI5 for highly customized business requirements, ensuring consistent and high-performance user experience. - Secure Cloud Integration: Implement enterprise-grade security using XSUAA (Identity & Access Management) and integrate services with SAP S/4HANA or third-party platforms via BTP Destinations, Connectivity, and Event Mesh. - Modern DevOps & Optimization: Manage the full application lifecycle using SAP Business Application Studio (BAS), Git-based version control, and CI/CD pipelines, while continuously optimizing code for performance and scalability. Company Description We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.

• Technical Leadership (40%) • Set technical direction and standards for ML projects • Make architectural decisions for ML systems • Review and approve technical designs • Identify and address technical debt • Champion best practices in ML engineering • Troubleshoot complex technical challenges • Evaluate and introduce new technologies and tools • Mentorship & Team Development (35%) • Mentor junior and mid-level ML engineers (2-5 engineers) • Conduct technical code reviews • Provide guidance on technical problem-solving • Help engineers debug complex issues • Create learning opportunities and growth paths • Share knowledge through workshops and documentation • Build technical competency across the team • Hands-On Technical Work (25%) • Contribute code to critical or complex components • Build proof-of-concepts for new approaches • Tackle highest-risk technical challenges • Develop reusable ML accelerators and frameworks • Maintain technical credibility through active coding

• Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). • Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack. • Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. • Improve performance, reliability, and observability of metric query execution at scale. • Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements. • Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships. • Mentor other engineers through code review, pairing, and technical guidance.