Top Tech Jobs & Startup Jobs

Build, deploy, and maintain ML models for real-time pricing in a two-sided digital manufacturing marketplace. Develop demand/supply, cost-estimation, forecasting, and routing probability models; design training and inference pipelines on AWS; run offline experiments and monitor production models. Collaborate cross-functionally, feature-engineer geometric and historical data, and mentor mid/junior engineers to improve pricing automation and performance.

Support and scale internal and external applications by provisioning, configuring, operating, and maintaining CI/CD, version control, build pipelines, high-availability systems, load balancers, and automation. Mentor teammates, promote SRE practices, participate in on-call rotations, and improve deployment stability through automation.

Lead design and delivery of production-grade GenAI systems (LLMs, RAG, embeddings, vector search). Architect cloud-native AI solutions, drive MLOps, CI/CD, deployment, monitoring, and collaborate with product and engineering teams in Agile delivery.

Lead design, development, and ownership of scalable test automation frameworks. Implement and maintain automated tests for web, API, and backend services, integrate with CI/CD pipelines, analyze results and defects, mentor junior QA engineers, standardize tooling and coverage, and leverage LLMs to improve test generation, debugging, and self-healing automation.

Lead the end-to-end performance engineering lifecycle: define strategy, execute large-scale load tests, analyze results, and deliver actionable reporting and analytics. Drive performance scripting and automation, leverage modern AI/LLM tools to boost productivity in test design and result analysis, and collaborate within the Software Quality Center of Excellence.

Build and support ML/DL systems end-to-end for manufacturing use cases: problem framing, experimentation, and production deployment. Work on domain-specific problems like manufacturability analysis, predictive maintenance, and automated part routing to ship solutions running in live production.

Lead testing efforts for Corporate Systems: create test cases, perform manual testing, execute automated tests, and own quality for large features end-to-end, collaborating with product managers, developers, and other QA engineers.

Design, develop, test, and deploy scalable Salesforce solutions for GTM using Apex, LWC, Flow Builder and integrations. Partner with product and platform teams, participate in code reviews, troubleshoot complex issues, support governance, CI/CD, and drive automation and platform improvements across global teams.

Design, develop, enhance, and support enterprise applications with primary focus on the company ERP platform. Manage, maintain, and extend Microsoft Dynamics AX solutions, deliver business enhancements, resolve operational issues, and ensure reliability and scalability while collaborating with stakeholders, functional analysts, and engineers.

Build and operate infrastructure and tooling for GenAI/ML across the full lifecycle: data ingestion, model training, deployment, and ongoing reliability, observability, and scalability. Collaborate with ML, backend, and platform teams to deliver self-hosted AI platform capabilities.