Top Tech Jobs & Startup Jobs

Design, build, and operate petabyte-scale data systems and pipelines to supply high-throughput, versioned, and lineage-tracked datasets to ML training and evaluation jobs. Ensure data quality, reproducibility, and efficient delivery for accelerator-based training while collaborating across teams and following strong software engineering practices.

Embed security across the SDLC by partnering with engineering teams to design secure systems, perform code reviews, run SAST/DAST/SCA tooling, identify and remediate vulnerabilities, and automate security controls in cloud and CI/CD environments. Balance offensive and defensive work while communicating risks to technical and non-technical stakeholders.

Design and govern enterprise-scale Salesforce implementations across Sales, Service, Experience, Marketing, and Industry Clouds. Define security, integration, and customization standards; drive technical strategy; partner with stakeholders and engineering teams; lead complex multi-org programs and deliver scalable, maintainable solutions.

Lead architecture and strategic direction for an enterprise data platform across ingestion, storage, processing, governance, and consumption. Define standards for modeling, lifecycle management, and data governance; collaborate with engineering, analytics, ML, and business stakeholders to deliver scalable, secure data foundations and lead large cross-team platform initiatives.

Design and govern scalable integrations between Salesforce and enterprise systems. Define API strategy, select middleware, implement event-driven patterns, ensure integration security and data synchronization with ERPs, lead design/code reviews, mentor engineers, and collaborate with product, engineering, and business stakeholders to deliver production-grade solutions.

Design, develop, and maintain Workday integrations using EIB, Studio, Core Connectors, Cloud Connect, and Workday APIs. Ensure reliability, security, and data quality; troubleshoot issues; collaborate with cross-functional teams; perform code and design reviews and mentor junior engineers.

Design, operate, and improve observability platforms including metrics, logging, tracing, and alerting. Build collection pipelines, dashboards, and alerting workflows; ensure signal quality, SLOs, error budgets, CI/CD integration, and operational ROI for engineering teams.

Design, install, configure, tune, and operate complex SAP landscapes (on‑prem, hybrid, cloud). Administer HANA databases, manage S/4HANA/ECC/BW systems, perform migrations, upgrades, HA/DR, system copies, and partner with infrastructure, security, and functional teams to ensure availability, performance, security, and compliance.

Design, execute, and support end-to-end data migration into SAP S/4HANA: extraction, transformation, validation, reconciliation, and cutover. Use LTMC/SLT/LVM and SQL to migrate and validate master and transactional data, collaborate with functional teams, troubleshoot issues, and document migration processes.

Design, build, and optimize HANA-native data models and analytical objects for S/4HANA, BW/4HANA, and standalone HANA. Translate business requirements into performant calculation views, CDS views, AMDPs and SQLScript. Diagnose and resolve HANA performance issues, use replication tools (SLT/SDI/SDA), enforce HANA security, and support migrations, tuning, and documentation.