Top Tech Jobs & Startup Jobs

Design and govern cloud-native solutions across compute, networking, data, identity, and security on major cloud platforms. Partner with stakeholders to translate business objectives into scalable, cost-effective architectures; lead architecture reviews, produce formal artifacts, and influence engineering direction for migrations, modernization, and platform consolidation.

Design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms across on-prem and cloud. Own cluster provisioning, hardening, workload onboarding, developer enablement, CI/CD integration, monitoring, and ongoing platform operations while partnering with application, security, and infrastructure teams.

Design, build, and operate secure, highly available AWS cloud platforms. Implement infrastructure-as-code, CI/CD, container orchestration (EKS/ECS), observability, and cloud security. Partner with application, security, and SRE teams to deliver resilient, cost-aware, production-grade solutions and continuous operational improvements.

Senior software engineer responsible for technical leadership across teams: shaping architecture, designing large-scale distributed/cloud/data systems, driving reliability and observability, mentoring engineers, and delivering production-grade solutions in collaboration with product, design, and operations.

Design and build end-to-end IIoT solutions from edge data acquisition to cloud ingestion and real-time analytics. Architect secure connectivity, edge runtimes, and operational dashboards; translate ambiguous requirements into production-grade systems; perform code and design reviews, troubleshooting, and mentor junior engineers.

Lead strategy and tooling for prompt design, agentic workflows, and LLM-based architectures. Build reusable prompt patterns, evaluation frameworks, and developer tooling. Ship LLM products to production, ensure responsible AI practices, and mentor engineers.

Design, execute, and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. Build and operate distributed training pipelines, construct datasets, run rigorous evaluations, and collaborate with cross-functional teams to deliver production-grade LLM solutions while mentoring junior engineers.

Lead enterprise architecture and long-term technology strategy to design and deliver highly scalable, resilient distributed systems. Serve as technical authority across teams, drive enterprise-scale architectural decisions, mentor senior engineers, and improve system performance, reliability, and cross-team engineering practices.

Design, train, evaluate, and deploy reinforcement learning systems for production decision-making. Build and scale RL training pipelines, design reward functions, work with simulation environments and GPU clusters, and ensure stability, safety, and ongoing improvement of RL policies.

Design and build software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. Partner with hardware and EDA teams to accelerate silicon development, improve yield and performance, and deliver scalable compute, automation, and data-pipeline solutions. Mentor junior engineers and drive code and design quality.