Top Tech Jobs & Startup Jobs

Design visually compelling digital interfaces and marketing-driven user experiences. Produce wireframes, high-fidelity mockups, and interactive prototypes. Apply and extend design systems, collaborate with creative, marketing, product, and development teams, present design rationale, and iterate quickly in fast-paced marketing cycles.

Perform hands-on data governance: identify root causes using information management tools and data sources, collaborate with data owners and architects, define governance rules and values, embed governance tests into ETL, engage vendors and stakeholders, and establish/report on data governance metrics and continuous improvements.

Design, build, and deploy production-grade ML and AI systems end-to-end, combining classical ML, deep learning, and LLM/agentic integrations. Implement MLOps, monitoring, CI/CD, model serving, vector search/RAG pipelines, and scalable APIs; mentor engineers and drive engineering best practices.

Design, build, test, and maintain high-performance Python data applications and backend services. Lead technical design, review code, mentor junior engineers, integrate with databases and cloud services, optimize performance, and ensure security, scalability, and reliability.

Design, build, and execute automated tests for native mobile and WebView user journeys, APIs, and integrations. Perform performance and reliability testing for critical APIs and transactions, run tests on cloud device farms, analyze failures across devices/OS versions, participate in sprint planning, test design, defect triage, and collaborate with developers to resolve quality issues early.

Lead architecture, design, and delivery of large-scale microservices systems. Define standards, mentor teams, drive cloud, containerization, CI/CD, observability, data strategies, and risk mitigation while aligning technology with business goals.

Design, build, and scale production Generative AI applications including multi-agent systems, advanced RAG pipelines, and local/frontier LLM deployments. Implement high-performance backends with FastAPI and async Python, fine-tune and quantize models, integrate vector databases and retrieval systems, and deploy/monitor containerized AI services for reliability, latency, and cost optimization.

Develop and customize SS&C Geneva and GWI solutions including reporting and Geneva Accelerator tools. Design APIs and multi-layer Java/J2EE (Spring) architectures. Apply private markets accounting expertise, communicate with technical and non-technical stakeholders, and work independently to deliver solutions.

Lead cross-functional programs from planning through delivery, manage budgets and stakeholders, ensure quality and customer satisfaction, maintain program status reporting, and follow SDLC and project management best practices.

Translate ambiguous business problems into AI-native product opportunities. Develop future-state, prompt-driven experiences, hyper-personalized journeys, and strategic narratives. Lead cross-functional teams, benchmark AI product trends, and present executive-ready transformation roadmaps.