Top Tech Jobs & Startup Jobs

Design and ship applied ML systems from research to production: prototype and evaluate models across NLP, vision, recommendation; build training/inference pipelines; implement rigorous experiments; optimize for accuracy, latency and cost; ensure observability, safety, fairness, and ongoing data quality; mentor engineers and influence AI roadmap.

Design and build Windchill Java customizations (services, listeners, processors, validators), extend data model via TAM, create JSP/HTML UI extensions, implement async queues and workflows, optimize performance, lead upgrade and migration efforts, provide post-go-live support, maintain documentation, and mentor junior engineers.

Build low-latency, high-reliability trading, pricing, and risk systems for fintech. Translate quant prototypes into production code, ingest and normalize tick market data, implement pricing and risk engines, profile and optimize performance, develop backtesting and simulation infrastructure, ensure observability and compliance reporting, lead incident response, document systems, and mentor junior engineers.

Design, develop, and maintain scalable Java/Spring Boot microservices and responsive front-end applications (React). Implement RESTful APIs, CI/CD, cloud deployments, automated tests, and observability while collaborating in Agile teams to deliver secure, performant enterprise software.

Design and implement low-latency trading, pricing, and risk systems; translate quant models into production code; build market data pipelines, pricing libraries, risk engines, backtesting infrastructure; optimize performance; ensure observability, compliance reporting, documentation, incident response, and mentor junior engineers.

Design, train, and deploy reinforcement learning systems for sequential decision problems. Build and maintain simulation environments, implement modern RL algorithms (policy gradient, actor-critic, off-policy, offline), engineer reward functions, and create scalable distributed training infrastructure. Apply RLHF/DPO for LLM fine-tuning when relevant, ensure safety and evaluation (OOD/adversarial tests), monitor production policies, and collaborate with product teams to translate research into production-ready solutions.

Design, build, and maintain production-grade Salesforce solutions using Apex, LWC, Flow, and integrations. Implement data models, security, CI/CD, automation, and async patterns; troubleshoot production issues and collaborate with admins and product owners to deliver scalable, maintainable enterprise functionality.

Design, build, and maintain ServiceNow solutions across ITSM, ITOM, HRSD, CSM and custom apps. Develop flows, scripts, integrations, portals, CMDB work, reports, and Performance Analytics. Support upgrades, regression testing, troubleshoot platform issues, and collaborate with stakeholders to document standards and deliver scalable, upgrade-safe implementations.

Design and implement advanced Windchill Java customizations (services, listeners, processors, JSP/HTML, TAM types). Optimize performance, support upgrades, migrate legacy customizations, provide post-go-live support, document systems, and mentor junior engineers.

Design, build, and operate side-by-side extensions and standalone applications on SAP BTP using CAP (Node.js/Java), SAP Fiori/UI5, OData services, Cloud Foundry/Kyma runtimes, and BTP services. Implement authentication (XSUAA/IAS/IPS), CI/CD, event-driven integrations, multi-tenant SaaS patterns, and BTP-based AI use cases. Collaborate with architects and consultants, provide post-go-live support, and maintain comprehensive documentation and runbooks.