Top Tech Jobs & Startup Jobs

Lead organization-wide strategy for prompts, agentic workflows, LLM application architectures, reusable design patterns, evaluation frameworks, and developer tooling. Ship production LLM products, guide responsible AI adoption, build evaluation pipelines for nondeterministic systems, mentor engineers, and influence technical direction. The role requires strong Python skills, expertise in LLM APIs, agent frameworks, retrieval-augmented generation, embeddings, vector databases, and enterprise software integration.

Designs, develops, and maintains automated testing frameworks for enterprise web applications, APIs, and distributed systems. Expands test coverage, integrates automation into CI/CD pipelines, validates data with SQL, and partners with development teams to improve software quality and delivery confidence. The role requires extensive QA automation experience and familiarity with Agile/Scrum, with preferred knowledge of performance testing, containers, cloud testing, behavior-driven development, and security testing.

Design, develop, and operate PTC Windchill integrations with ERP, CAD, MES, MOM, and quality systems. Build REST, SOAP, Java, middleware, message-based, and event-driven integrations; optimize performance; modernize legacy interfaces; and support migrations and production operations. The role also includes documentation, troubleshooting, stakeholder collaboration, technical reviews, and mentoring junior engineers.

Design and maintain scalable automated testing frameworks for web, API, mobile, and microservice applications. Develop production-quality test code, CI/CD pipelines, contract and performance tests, and security checks. Partner with engineering and product teams on risk-based testing, debugging, root-cause analysis, and shift-left quality practices. Improve test coverage and reliability, document results, contribute to reusable testing tools, and mentor junior QA engineers.

Develop low-latency trading, pricing, risk management, and market data systems for fintech applications. Build backtesting frameworks, trading tools, risk and P&L analytics, and scalable production platforms. Optimize latency, throughput, performance, and concurrency while collaborating with quants, traders, and engineering teams. Troubleshoot production issues and maintain system reliability.

Lead the end-to-end quality engineering lifecycle, including test strategy, planning, execution, automation framework development, CI/CD integration, defect management, and release readiness. Coordinate SIT and UAT across distributed teams, track quality metrics, mitigate testing risks, and communicate status to stakeholders. Serve as a hands-on QE contributor during deployments by executing smoke and regression testing and making go/no-go assessments. Champion shift-left testing, automation efficiency, and AI-assisted testing practices.

Develop and maintain automated test frameworks for web, API, mobile, and microservices applications. Automate UI, API, and end-to-end testing; build CI/CD test pipelines; perform performance testing; troubleshoot defects; create regression tests; collaborate with developers on quality risks and coverage; and mentor junior QA engineers.

Architects, deploys, secures, and manages enterprise Apache Kafka and Confluent platforms for real-time event streaming. Responsibilities include cluster design, performance optimization, Kafka security, Connect, Schema Registry, Streams, ksqlDB, infrastructure automation, high availability, disaster recovery, observability, Kubernetes deployments, troubleshooting, governance, architecture reviews, and mentoring engineering teams.

Designs, develops, and integrates software for autonomous robots across perception, localization, mapping, motion planning, control, behavioral systems, and sensor integration. Builds real-time robotics systems using C++, Python, ROS, and simulation platforms; implements safety-critical functions; supports field testing and hardware integration; documents system architecture and operations; evaluates emerging technologies; and mentors junior engineers.

Design, develop, and support enterprise-grade Python applications, distributed systems, data-processing services, and automation platforms. Responsibilities include architecture, coding, database optimization, testing, CI/CD, troubleshooting, incident response, performance tuning, monitoring, and secure software development. The architect collaborates with product, data, infrastructure, and business teams, contributes to engineering standards, reviews code, participates in Agile delivery, and mentors less-experienced engineers.