Top Tech Jobs & Startup Jobs

Design, build, and scale production-grade AI/GenAI applications, RAG pipelines, and intelligent workflows. Develop backend services, APIs, integrations, and evaluation frameworks. Prototype rapidly, ensure security, observability, and governance, and collaborate across business and IT to deliver scalable enterprise AI solutions.

Design, build, and scale production-grade AI/GenAI solutions (RAG, LLMs, knowledge assistants) including backend services, APIs, integrations, workflow orchestration, evaluation, observability, and governance while collaborating cross-functionally to deliver secure, scalable deployments.

Lead the development of a scalable application for asset management, mentor engineers, and own the delivery of complex projects involving Big Data solutions.

The Senior Product Marketing Manager will lead product marketing for the US Public Sector, collaborating with teams to develop go-to-market strategies, create collateral, and understand buyer personas.

The Associate Product Manager will define product features for Enterprise TruRisk Management, collaborating with teams to reduce cybersecurity risk and enhance product outcomes.

Lead and scale the product design function across multiple product lines, define UX vision and AI-first strategy, build and mentor design teams, establish design systems and accessibility standards, collaborate cross-functionally with engineering and product, and drive measurable customer and business impact through user-centered design.

Monitor and analyze customer vulnerability and asset risk data using Qualys TruRisk; research threats and exploits; produce reports and briefings; track remediation; onboard environments; escalate high-risk findings; improve playbooks and processes.

Design, develop, and maintain distributed, containerized microservice applications. Build performance testing frameworks, ensure application stability, troubleshoot production issues, provide hot fixes and patches, and collaborate with SRE/support teams to meet SLAs.

Design, build, and operate high-throughput data platform components and pipelines using Spark and Kafka. Debug, tune, and optimize jobs for massive transaction volumes, collaborate on architecture and standards, and mentor junior engineers.

Design, build, test, and operate scalable backend services, middleware, and cloud-native SaaS systems. Own features across the SDLC, implement automated tests and CI/CD, troubleshoot distributed systems, improve scalability and reliability, and mentor teammates.