Top Tech Jobs & Startup Jobs

Develop and customize PTC Windchill using Java, PTC APIs, services, listeners, processors, and client-side technologies. Work with Windchill data models, workflows, lifecycles, TAM, SQL databases, upgrades, performance engineering, troubleshooting, documentation, code reviews, and design reviews. Collaborate with cross-functional stakeholders, translate ambiguous requirements into solutions, and mentor junior engineers. Preferred experience includes ThingWorx, Windchill RV&S, CI/CD, certifications, and cloud operations.

Administer and optimize SAP landscapes across on-premises and cloud environments. Responsibilities include SAP installation and configuration, HANA database administration, upgrades, migrations, transport management, performance tuning, monitoring, security patching, high availability and disaster recovery. The role also involves scripting automation, production troubleshooting, documentation, and mentoring junior engineers.

Design, develop, deploy, and operate enterprise integrations using the MuleSoft Anypoint Platform. Responsibilities include API-led connectivity, DataWeave transformations, API security, event-driven integrations, runtime management, CI/CD, performance optimization, monitoring, legacy middleware migration, documentation, and mentoring junior developers. The role collaborates with architects, application teams, security, business stakeholders, and integration partners to deliver reliable, reusable, production-ready solutions.

Designs, builds, and optimizes SAP HANA-native data models and analytical objects for S/4HANA, BW/4HANA, and standalone HANA platforms. Translates business requirements into performant models using calculation views, CDS views, AMDPs, and SQLScript. Diagnoses and resolves HANA performance issues, applies tuning methodologies, supports replication and security models, and contributes to analytics modeling, migrations, and upgrades.

Lead enterprise ServiceNow architecture, governance, platform evolution, and multi-year roadmaps across ITSM, ITOM, HRSD, CSM, SecOps, and custom applications. Establish standards for data, integrations, security, and customization; design CMDB, discovery, and service mapping solutions; guide upgrades and release planning; and influence engineering, business, and executive stakeholders.

Designs and governs enterprise application architectures across cloud platforms, integration ecosystems, data domains, and business application portfolios. Partners with stakeholders, product owners, and engineering leaders to translate strategy into scalable solutions. Leads architecture reviews, creates formal architecture artifacts, presents recommendations to senior leadership, and guides decisions involving integration, APIs, security, data governance, cost optimization, scalability, and resilience.

Design, build, and integrate software for autonomous robots across perception, sensor integration, localization, motion planning, control, and behavioral systems. Develop real-time and concurrent software using robotics frameworks, simulation environments, and sensor-fusion techniques. Support field testing and hardware integration, collaborate with cross-functional teams, conduct code and design reviews, document solutions, and mentor junior engineers.

Design, train, evaluate, and deploy reinforcement learning systems for complex decision-making problems. Responsibilities include developing RL algorithms and reward functions, building simulation environments, collecting experience at scale, training neural network policies on GPU clusters, and transitioning research solutions into stable, safe production systems. The role also involves policy evaluation, ongoing improvement, technical communication, and potentially work involving RLHF, multi-agent or hierarchical RL, robotics, control systems, or autonomous driving.

Designs, deploys, secures, and operates enterprise Red Hat OpenShift and Kubernetes platforms across on-premises and cloud environments. Responsibilities include cluster provisioning and hardening, workload onboarding, developer enablement, platform lifecycle management, CI/CD implementation, infrastructure automation, monitoring, troubleshooting, documentation, and continuous improvement. The engineer partners with application, security, and infrastructure teams to deliver reliable container platforms.

Define and lead organizational strategies, patterns, and tooling for prompts, agentic workflows, and LLM application architectures. Build reusable design patterns, evaluation frameworks, and developer tools for scalable LLM use cases. Ship production LLM-powered products, apply responsible AI principles, mentor engineers, and influence technical direction. The role requires expertise in LLM APIs, agent frameworks, retrieval-augmented generation, embeddings, vector databases, evaluation pipelines, and Python.