Top Tech Jobs & Startup Jobs

Design and implement scalable, secure, high-performance system architectures. Lead architectural reviews, define technical requirements with stakeholders, recommend technologies, mentor teams, mitigate technical risks, and drive best practices and innovation.

Design, build, and deploy production-grade Generative AI applications: multi-agent systems, advanced RAG pipelines, LLM integration and swapping, model fine-tuning and quantization, scalable FastAPI backends, containerized deployment, and monitoring/optimization for latency, cost, and reliability.

Lead the technical team by defining project requirements, schedules, and delegating tasks. Liaise with stakeholders, identify risks and contingencies, troubleshoot issues, run trainings, write progress reports, and present updates. Motivate staff, promote transparency, and stay current with industry trends to drive project success.

Design and evolve data-rich UI and dashboards for wealth products. Translate research into wireframes, high-fidelity UI, and prototypes. Own visual identity, design systems, and UI libraries. Create pixel-perfect typography, iconography, illustrations, and micro-interactions for self-service and advisor-supported workflows.

Lead and develop JavaScript/TypeScript-based automated test frameworks and scripts using Playwright/Cypress; build API and end-to-end automation, maintain frameworks, and apply BDD (Cucumber) for QA delivery.

Lead architecture and implementation of scalable, secure software systems. Mentor engineers, translate product requirements into technical specs, drive SDLC and CI/CD, perform code reviews, solve complex engineering problems, and optimize processes for reliable production delivery.

Lead systems analyst within an agile data squad to gather requirements, perform data analysis and mapping, modernize data platforms, validate data using SQL/Python, support ETL initiatives, and produce technical specifications and documentation for database projects.

Lead architecture, design, and delivery of Generative AI and ML solutions. Build scalable ML pipelines, LLM and RAG-based applications, vector DB integrations, and agent workflows. Drive MLOps, CI/CD, observability, security, and enterprise model orchestration. Provide technical leadership, mentor engineers, run Agile development, and shape AI strategy through POCs and platform innovation.

Design, build, and productionize generative AI solutions: advanced Python development, LLM prompt engineering and fine-tuning, agent frameworks, RAG pipelines with vector DBs, API and cloud deployment, MLOps/LLMOps, model evaluation and Responsible AI practices, and translate business needs into scalable AI applications.

Senior systems analyst responsible for analyzing end-to-end trading workflows, translating business needs into requirements, performing data mapping and UAT, and bridging mainframe and distributed systems. Deeply analyzes COBOL/JCL/DB2/VSAM/CICS applications, integrations (REST/SOAP/JSON/XML), and system interactions to ensure data integrity and drive solutions with product and engineering teams.