Top Tech Jobs & Startup Jobs

Designs and implements AWS cloud, site reliability, observability, disaster recovery, and resilience solutions for customers. The role includes infrastructure automation, Infrastructure-as-Code, monitoring, dashboards, alerting, GameDay and chaos testing, technical documentation, customer guidance, knowledge transfer, and thought leadership. Consultants use Python, Bash, Terraform, Docker, Kubernetes, and numerous AWS services to deliver scalable and reliable cloud environments.

Build and maintain user-facing Android features in Kotlin, using Jetpack Compose and modern MVI/Clean architecture. Integrate RESTful APIs with OkHttp, write unit and integration tests, conduct code reviews, troubleshoot issues, and collaborate with product, design, backend, and QA teams through structured GitLab release cycles.

Own end-to-end mechanical design of outdoor radar sensor nodes, including array panels, enclosures, thermal systems, ruggedization, and manufacturing readiness. Lead thermal and structural analysis, qualification testing, tooling, fixtures, vendor management, and cost reduction. Collaborate with RF, antenna, electronics, and systems engineers to define interfaces and deliver designs from concept through production.

Leads industrial design for vehicle seating programs, translating customer and brand requirements into ergonomic, manufacturable concepts and production-intent designs. Creates sketches, renderings, CAD models, prototypes, and design documentation while collaborating with engineering, manufacturing, quality, purchasing, sales, and program management. Supports validation, cost optimization, production release, launches, customer reviews, and competitive research. Manages multiple programs and may mentor junior designers, with occasional domestic and Mexico travel.

Build and operate PEMCO’s end-to-end AI platform, including GPU infrastructure, model serving, AI gateways, retrieval systems, agent orchestration, observability, evaluation, cost telemetry, security, and governance. Lead production deployment, monitoring, incident response, lifecycle management, and architecture standards for AI systems. Optimize model routing, costs, performance, and reliability across Azure and potential on-premises environments while influencing organization-wide AI platform and governance decisions.

Coordinate end-to-end digital, direct response, email, direct mail, and multi-channel marketing campaigns. Manage timelines, approvals, vendors, creative assets, documentation, and partner communications. Compile campaign analytics, support A/B testing and segmentation strategy, and report performance insights. Coordinate webinars, conference materials, exhibit shipments, event logistics, marketing inventory, printed materials, and fulfillment while ensuring accurate, timely campaign delivery.

Develop and enhance scalable web applications using .NET, C#, MVC, AngularJS, Web API, WCF, and enterprise design patterns. Design application architectures, write technical specifications, provide technology recommendations, implement application code, and maintain expertise in emerging technologies. Collaborate cross-functionally with global teams in a Scrum environment.

Provides administrative and operational support to the sales team by processing orders, preparing quotes and reports, maintaining customer records, coordinating internal and customer communications, tracking order status, and assisting with proposals, onboarding, and sales documentation.

Designs, develops, and maintains manufacturing tools, fixtures, molds, and machining processes. Uses CAD/CAM and CNC expertise to support production and prototyping, optimize efficiency and quality, troubleshoot machinery, oversee fabrication, and establish preventive maintenance programs. Collaborates with production, engineering, quality, facilities, and vendors to validate tooling, reduce downtime and waste, and bring new products and processes to market. Applies Lean, Six Sigma, DFM, DFA, DOE, FMEA, and value engineering practices.

Architect and build a multi-cloud ML training platform for decentralized large-model training and inference across consumer devices and cloud instances. Responsibilities include infrastructure orchestration, distributed compute, GPU workloads, checkpointing, data streaming, network-condition simulation, node-churn management, observability, reliability, and resilient job execution. The role requires strong Python, infrastructure-as-code, Kubernetes, distributed systems, decentralized networking, and SRE experience.