Top Tech Jobs & Startup Jobs

Own end-to-end product design for complex back-office tools supporting trading, risk, operations, and data teams. Work directly with internal users to understand workflows, simplify data-heavy experiences, validate solutions, and iterate. Build and evolve a scalable design system using existing component libraries and frameworks while partnering closely with product and engineering.

Build and deliver end-to-end backend features within a high-scale Go microservices platform. Design solutions within existing architecture, address concurrency and distributed-systems challenges, operate production services, and maintain tests and observability. Review peer code, mentor junior engineers, estimate work, and collaborate autonomously in an Agile startup environment. Use AI coding assistants responsibly while validating correctness, security, performance, and licensing.

Monitor real-time betting flow and market exposure, detect suspicious player behavior, set and adjust limits, stop or restrict markets to prevent losses, respond to incidents, and analyze risk metrics to optimize strategies and reporting.

Research and develop world models to simulate and generate sports/eSports video matches. Design, implement, and optimize generative computer-vision and autoregressive architectures; build large-scale video-action data cleaning and preprocessing pipelines; define validation strategies and custom evaluation metrics; collaborate across teams and track relevant CV/ML literature.

Serve as a strategic HR advisor for multiple business units, managing employee relations, workforce planning, performance cycles, engagement (eNPS), HR metrics analysis, manager coaching, and resolution of complex people issues in a fast-paced, hybrid environment.

Develop and maintain Kotlin backend services, design internal and public APIs (REST/gRPC/GraphQL), deploy to cloud or data center, improve reliability and performance, and collaborate with cross-functional teams to implement features end-to-end.

Design, build, and operate real-time ingestion and transformation pipelines (dbt, SQL, Python). Create dimensional models and semantic layers for analytics, ensure data quality and observability, optimize warehouse performance, support dashboards and client reports, and collaborate with analysts and stakeholders to deliver trusted BI insights.

Operate the trading platform to watch and analyze sports simulators (EA FC 24, NBA 2K, Cricket 22, etc.), create and adjust betting odds in real time, perform post-match analysis, collaborate with mathematicians to improve models, and support new esports simulator projects. Requires quick decision-making, reliability, and time flexibility including night shifts.

Develop Python-based microservices and APIs for real-time video, audio, and data streams. Translate research into high-performance, low-latency production services, implement model deployment practices, optimize GPU/hardware performance, and maintain code quality while collaborating with AI researchers.

Lead two ML teams across esports verticals, owning end-to-end ML lifecycle, roadmap, delivery, and MLOps. Act as technical bridge to product and infra, unblock teams, drive hiring and performance, introduce AI tooling, and ensure scalable, validated production deployments while managing cross-team dependencies and agile execution.