Top Engineering Jobs

Design, deploy, and scale cloud infrastructure supporting AI and generative AI workloads. Build Kubernetes and container orchestration platforms, infrastructure-as-code, observability systems, security controls, CI/CD workflows, and resilient production environments. Optimize GPU and compute-intensive workloads for cost, performance, and reliability. Collaborate across Product, Engineering, and Security, define SLOs, improve incident response, and mentor infrastructure engineers.

Maintain and optimize enterprise network infrastructure across multiple locations. Configure and manage Cisco routers, switches, firewalls, wireless, LAN/WAN, and SD-WAN environments. Monitor performance, troubleshoot connectivity issues, administer network security, apply updates, support disaster recovery and telephony systems, and ensure compliance with internal and external standards. Collaborate with senior administrators and IT teams while maintaining documentation and supporting evolving business needs.

Designs and implements productivity, quality, cost, and profitability improvements at a manufacturing facility. Responsibilities include data collection and analysis, predictive modeling, plant layout and material-flow development, equipment installation support, process documentation, lean problem solving, training materials, and project management. The role also supports sales, estimating, production strategy, and continuous improvement initiatives.

Design, develop, and execute systematic and automated tests for networking software. Debug and document defects, analyze results, recommend fixes, and collaborate with developers to ensure product quality.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Provides senior-level traffic engineering and forensic consulting for roadway design, traffic operations, safety, and accident investigations. Reviews plans, traffic controls, signals, roadway conditions, and compliance with DOT, MUTCD, and local standards. Prepares technical reports and expert opinions, supports litigation and expert testimony, manages projects and client relationships, and mentors junior engineers. Requires extensive traffic and forensic experience, active PE and applicable TE licenses, traffic analysis software proficiency, and strong communication skills.

Leads and performs aircraft structural maintenance, repairs, inspections, modifications, fabrication, corrosion repair, and documentation. Supervises structures personnel, plans labor and materials, coordinates with engineering and quality teams, interprets approved technical data, supports return-to-service signoffs, and communicates work-scope status and risks to leadership. Provides remote and field operational support, including troubleshooting and repair planning, while ensuring safe, compliant, cost-effective work during urgent operational requirements.

Design and validate complex engineering simulation problems for training and evaluating AI models and coding agents. Develop Python-based simulation workflows, automated tests, reference solutions, and grading systems across electrical, mechanical, and aerospace domains. Analyze AI execution logs and failure modes, validate physical plausibility and numerical convergence, refine benchmarks, and collaborate with engineering and AI research teams. This remote contractor role requires approximately 40 hours weekly, Pacific Time overlap, and weekend on-call availability.

Own and evolve CluePoints’ Azure and Kubernetes platform, including infrastructure, networking, GitOps delivery, observability, managed databases, security controls, disaster recovery, and cost optimization. Lead incident response, on-call operations, technical initiatives, audit preparation, and cross-team platform adoption. Mentor engineers and improve the reliability, security, and efficiency of business-critical SaaS systems supporting clinical-trial software.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.