Top Tech Jobs & Startup Jobs

Design, build, and operate enterprise integrations on MuleSoft Anypoint Platform. Responsibilities include API design, flow development, runtime configuration, security, event-driven integrations, CI/CD, monitoring, legacy migrations, documentation, and mentoring junior engineers.

Design, build, and optimize HANA-native data models (calculation views, CDS, AMDP, SQLScript); tune performance; manage replication, tiering, security, capacity planning; collaborate with Basis/ABAP/analytics teams; produce documentation and mentor juniors.

Develop and maintain enterprise AEM solutions (Sites, Assets, Cloud Service): build components, templates, OSGi services, Sling models, workflows, and front-end experiences. Implement headless/hybrid delivery, integrate Adobe Experience Cloud products, optimize performance and Dispatcher, create CI/CD pipelines, troubleshoot production issues, and collaborate with authors, designers, and product owners.

Design and ship applied ML solutions across language, vision, recommendation, and structured data. Own research-to-production lifecycle: experimentation, training, distributed and mixed-precision pipelines, deployment, monitoring, and optimization. Ensure evaluation rigor, safety/fairness, and mentor engineers while influencing the AI roadmap.

Design, execute, and productionize fine-tuning workflows for large language models (supervised, DPO, RLHF). Lead dataset curation, build scalable distributed training pipelines, optimize training throughput, implement parameter-efficient tuning (LoRA/QLoRA/adapters), design evaluation and safety suites, operate GPU cluster training, manage model artifacts, and mentor engineers while translating research into production-ready solutions.

Design, build, and maintain SAP Fiori/UI5 applications across devices. Develop and consume OData services, implement custom controls and Launchpad configurations, optimize performance, integrate with SAP BTP and ABAP backends, ensure security and accessibility, perform testing and post-go-live support, and maintain technical documentation.

Design, execute, and operationalize fine-tuning workflows for LLMs (supervised, DPO, RLHF). Lead dataset curation, build scalable distributed training pipelines, tune hyperparameters and stability, implement parameter-efficient methods (LoRA/QLoRA), design evaluation suites (automated and human), operate GPU cluster training, ensure reproducibility and model lineage, and mentor engineers while translating research into production-ready solutions.

Manage architecture, installation, configuration, performance, and operations of SAP landscapes (S/4HANA, ECC, BW/4HANA, Solution Manager). Administer SAP HANA, lead upgrades/migrations, implement HA/DR, run system copies, manage transports/ChaRM, automate with scripting/Ansible, provide 24x7 support, document operations, and mentor junior engineers.

Design, build, and operate high-performance inference platforms for LLMs, vision, and recommendation models. Optimize latency and throughput (batching, caching, GPU tuning), implement multi-tenant routing, autoscaling, observability, deployment workflows, incident response, and security controls while collaborating with ML and product teams.

Develop and maintain .NET applications (VB.NET, ADO.NET, ASP.NET) with extensive Wonderware/SCADA integration. Implement advanced T-SQL, PLC data acquisition via Kepware, support classic ASP and Zebra handhelds, own projects end-to-end, and collaborate across teams.