Top Tech Jobs & Startup Jobs

Design, build, and optimize scalable batch and real-time data pipelines; develop ETL/ELT workflows; manage and tune cloud data warehouses; automate infrastructure with Airflow and IaC tools; deploy with containerization and orchestration; collaborate with data scientists and analysts; monitor, troubleshoot, and enforce data governance and security.

Design, build, test, deploy, and debug scalable backend API services and data pipelines. Troubleshoot live systems, write clear tested code, review designs, and contribute to infrastructure supporting large-scale web data ingestion.

Design, implement, test, deploy, and maintain backend services and infrastructure for large-scale web data ingestion and processing; debug live systems, review designs and code, and contribute to distributed crawler and backend tooling.

Design, build, and operate large-scale distributed web crawlers and data pipelines. Handle anti-bot systems and dynamic/JS-heavy sites, perform cleaning, deduplication, filtering, and normalization, and maintain datasets for model training while optimizing for cost, latency, and reliability.

Lead development and optimization of web scraping pipelines to extract, clean, and store large-scale web data. Handle dynamic content, pagination, distributed scraping, database design with NoSQL, deploy jobs to cloud, and monitor systems for reliability and data quality. Support ML-based data cleaning and categorization.

Design, deploy, and maintain data center networks and physical infrastructure. Configure servers, switches, routers, firewalls, VPNs, and virtualization. Build automation with IaC, integrate cloud networking, manage high-performance storage (MinIO), containerize workloads with Docker/Kubernetes, and monitor systems with Prometheus/Grafana/ELK to ensure scalability, security, and reliability.

Design, build, and optimize scalable real-time and batch data pipeline infrastructure. Develop backend features focused on reliability and performance, write well-tested code, review technical designs, and contribute to infrastructure across mobile, desktop, and server systems.

Develop, fine-tune, and deploy LLMs for NLP tasks; design and maintain large-scale data pipelines; analyze time-series data; implement data-driven models and OCR systems; ensure data quality; collaborate cross-functionally; and research and apply best practices to improve internal data processing tools and infrastructure.

Lead growth and communications by owning copy across channels, running acquisition and paid campaigns, building creator/community partnerships, tracking KPIs, shaping brand narrative, and creating multi-format educational and promotional content to drive user acquisition, activation, and engagement.

Own and evolve a custom Chromium fork: design architecture, manage upstream merges, triage crashes, build CI/CD and QA for a large C++ codebase, and optimize browser engine performance across platforms.