Top Tech Jobs & Startup Jobs

Design, build, and operate large-scale Hadoop-based data pipelines and analytics platforms. Ingest, transform, and analyze structured and unstructured data to support enterprise analytics, ML, and reporting. Ensure reliability, performance, and cost-effectiveness in production, and troubleshoot, document, and optimize data workflows.

Design and govern end-to-end enterprise solution architectures across application, integration, data, security, and infrastructure layers. Partner with stakeholders to define requirements and reference architectures, lead architecture reviews, guide cloud migrations and integrations, produce architecture artifacts, support proofs-of-concept, mentor engineering teams, and ensure compliance, cost optimization, resilience, and reusable patterns across delivery 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 design and evolution of large-scale microservices ecosystems on container platforms. Drive service decomposition, DDD, distributed data strategies, resilience, observability, security, and cross-team architecture initiatives for cloud-native transformations.

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.