Top Tech Jobs & Startup Jobs

Develop and customize PTC Windchill using Java, PTC APIs, and customization frameworks. Build services, listeners, processors, and client-side customizations while maintaining upgrade-friendly code. Troubleshoot performance and production issues, support Windchill upgrades, collaborate with cross-functional stakeholders, conduct code and design reviews, document solutions, and mentor junior engineers. Work includes Windchill data models, workflows, lifecycle management, TAM, SQL, and database integrations.

Design, build, and integrate software for autonomous robots across sensor integration, motion planning, perception, localization, control, and behavioral systems. Develop production robotics software using ROS/ROS 2, simulation environments, real-time systems, and sensor fusion. Collaborate with cross-functional stakeholders, support field tests and hardware integration, conduct code and design reviews, mentor junior engineers, and deliver reliable production-ready solutions.

Leads development and operation of high-throughput backend platforms and shared services, including request routing, traffic management, caching, asynchronous jobs, and durable event processing. Designs distributed systems for scalability, consistency, availability, and predictable latency. Leads multi-quarter cross-team initiatives, makes technical decisions, writes design documents, mentors engineers, and improves developer experience. Preferred experience includes Kubernetes platforms, open-source infrastructure, service meshes, workflow orchestration, backward-compatible APIs, and technical community contributions.

Lead enterprise ServiceNow architecture, governance, platform security, integrations, data modeling, CMDB, discovery, service mapping, upgrades, and release planning. Develop multi-year roadmaps across ITSM, ITOM, HRSD, CSM, SecOps, and custom applications. Establish scalable platform standards and influence engineering, business, and executive stakeholders. Support complex SaaS integrations and multi-instance deployments while evaluating AI-enabled ServiceNow capabilities.

Designs, develops, deploys, monitors, and supports enterprise integrations using Dell Boomi AtomSphere. Partners with application teams, architects, integration partners, and business stakeholders to translate requirements into scalable solutions. Responsibilities include API management, event-driven integrations, SaaS platform connectivity, troubleshooting, documentation, code and design reviews, production support, and mentoring junior engineers.

Designs, develops, deploys, operates, and optimizes enterprise integrations using the MuleSoft Anypoint Platform. Responsibilities include API design, DataWeave flow development, deployment, observability, API security, troubleshooting, documentation, and CI/CD. The engineer partners with architects, application teams, and business stakeholders, integrates SaaS platforms and event-driven systems, participates in code and design reviews, and mentors junior engineers.

Architects, deploys, and operates large-scale Apache Kafka and Confluent environments for mission-critical streaming workloads. Owns cluster sizing, configuration, security, automation, observability, high availability, disaster recovery, and developer enablement. Partners with application and cross-functional teams to build reliable streaming solutions, troubleshoot production issues, conduct design and code reviews, document systems, and mentor junior engineers.

Designs and improves test automation frameworks, writes production-quality test code, and embeds quality engineering throughout the software development lifecycle. Responsibilities include unit, integration, end-to-end, performance, security, API, and database testing across distributed systems. The role partners with cross-functional teams, translates requirements into solutions, conducts code and design reviews, mentors junior engineers, and supports CI/CD automation in Agile/Scrum environments.

Build low-latency trading, risk, and analytics systems for fintech applications. Translate quantitative models into production software, collaborate with quants and traders, implement market data and FIX systems, optimize performance and concurrency, and contribute to code reviews, design reviews, debugging, documentation, and mentoring.

Design and optimize high-performance CUDA kernels, GPU libraries, and ML operators for AI and high-performance computing workloads. Profile GPU code, tune memory and execution efficiency, optimize distributed multi-GPU training with NCCL and RDMA, and integrate custom kernels into PyTorch, JAX, or Triton. Develop benchmarks, regression tests, compiler-level optimizations, mixed-precision paths, and technical documentation while mentoring engineers and evaluating new GPU architectures.