Top Tech Jobs & Startup Jobs

Designs and builds software tooling, firmware, automation, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. Partners with hardware and EDA teams, develops low-level software and data pipelines, supports cloud and HPC environments, troubleshoots complex issues, and mentors junior engineers. The role requires strong C, C++, and Python skills plus experience with semiconductor workflows, hardware-software interaction, and scalable compute infrastructure.

Designs and builds end-to-end Industrial IoT systems connecting factory-floor devices to cloud platforms. Responsibilities include edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, operational dashboards, OT/IT integration, troubleshooting, documentation, code and design reviews, and mentoring engineers. The role requires industrial protocol, edge runtime, cloud IoT, streaming analytics, and industrial cybersecurity experience, with preferred exposure to digital twins, predictive maintenance, time-series databases, and Unified Namespace patterns.

Lead prompt design strategy, agentic workflows, LLM application architectures, reusable design patterns, evaluation frameworks, and developer tooling. Ship production LLM products, design responsible AI solutions, build retrieval and evaluation systems, mentor engineers, and influence technical direction across teams.

Designs and operationalizes large language model fine-tuning workflows using supervised, preference-based, and reinforcement learning. Responsibilities include dataset construction, evaluation methodology, distributed training, GPU cluster operations, failure recovery, and production deployment. The engineer collaborates cross-functionally, contributes to design and code reviews, mentors junior engineers, and ships impactful LLM solutions.

Designs, builds, and operates reliable, high-performance machine learning inference platforms at scale. Responsibilities include request routing, batching, caching, autoscaling, GPU utilization, observability, performance engineering, capacity planning, and incident response. The role requires distributed systems expertise, production experience with high-throughput services, LLM inference frameworks, Kubernetes, cloud platforms, and GPU architecture. Preferred experience includes open-source serving infrastructure, globally distributed AI systems, model optimization, FinOps, and external-facing AI APIs.

Design, develop, deploy, monitor, and support enterprise integrations using Dell Boomi AtomSphere. Partner with application teams, architects, integration partners, and business stakeholders to translate requirements into scalable solutions. Apply API management, security, event-driven integration, SaaS connectivity, and CI/CD practices. Conduct code and design reviews, troubleshoot production issues, document solutions, and mentor junior engineers.

Administer and develop enterprise PeopleSoft environments, including PeopleTools upgrades, PUM image applications, security, search services, application and process scheduler servers, integrations, and cloud or middleware operations. The role requires Oracle, Linux/Unix, WebLogic, Tuxedo, Elasticsearch/OpenSearch, high availability and disaster recovery expertise, plus DevOps automation. The developer will also contribute to architecture, troubleshooting, code and design reviews, documentation, stakeholder collaboration, and mentoring.

The Application Security Engineer embeds security throughout the software development lifecycle. Responsibilities include secure system design, vulnerability identification, code review, SAST/DAST/SCA implementation, cloud security, authentication and authorization reviews, security automation, and collaboration with engineering teams. The role also involves offensive and defensive security activities, risk reduction, and communicating security recommendations to technical and non-technical stakeholders.

Designs, operates, and improves observability platforms covering metrics, logs, traces, dashboards, alerting, and telemetry pipelines. The role requires hands-on expertise with Prometheus, Grafana, commercial observability tools, OpenTelemetry, distributed tracing, high-throughput pipelines, SLOs, and SRE practices. The engineer will integrate observability with CI/CD and incident management, support scalable infrastructure, optimize costs, and translate telemetry into actionable insights.

Designs, builds, and operates SAP BTP extensions, side-by-side applications, and integration scenarios for SAP S/4HANA and other SAP applications. The role uses CAP, Node.js or Java, Fiori/UI5, OData, BTP runtimes and services, CI/CD tooling, and clean-core principles. Responsibilities include developing multi-tenant SaaS solutions, applying SAP integration best practices, and supporting cloud, data, analytics, and AI capabilities.