Top Tech Jobs & Startup Jobs

Design, build, and maintain cloud-native AI platforms and infrastructure; develop, deploy, and optimize AI agents and agentic runtimes; enable teams with AI-assisted development and automation; collaborate with engineers and AI specialists to deliver scalable, secure, production-ready AI solutions.

Lead SEO and product analytics to measure organic growth, build dashboards and automated reports, run and evaluate SEO experiments, quantify business impact of search opportunities, and translate insights into product recommendations to support roadmap decisions.

Design and deploy production-grade AI solutions to improve automotive inventory discoverability, generate scalable vehicle content, cluster search intent, optimize ranking signals, identify high-potential inventory combinations, measure impact via experimentation, and collaborate with product and engineering teams to operationalize SEO and GEO initiatives.

Develop, maintain, and modernize Ruby on Rails applications within mainly monolithic architectures. Implement backend features, integrations, and business logic; write RSpec/Minitest tests; support CI/CD, deployments, and DevOps automation; collaborate with product, QA, and frontend teams; troubleshoot performance and production issues; apply Event-Driven and Domain-Driven design principles.

Design, implement and maintain test automation frameworks and backend tests using Playwright and TypeScript/JavaScript. Integrate automated tests into CI/CD pipelines (Azure DevOps), design test scenarios, mentor junior testers, apply contract testing, and leverage AI assistants to improve productivity and quality.

Lead architecture and hands-on development of an AI-native underwriting platform. Design scalable backend services in Python, integrate with React/TypeScript frontends, promote engineering standards, implement observability and security, and use AI-assisted development tools to improve productivity while mentoring the team and driving the platform from MVP to production.

Design and implement production-grade machine learning components for a next-generation bidder engine in AdTech. Collaborate with software engineers and architects to integrate ML into real-time bidding systems, replace rule-based logic with ML-driven decisioning, optimize performance, support deployment and monitoring, participate in architecture and design reviews, and mentor peers while driving operational excellence.

Lead design and delivery of backend features using Java and Spring Boot, mentor engineers, improve engineering practices, and collaborate with teams for scalable solutions.

Design, build, and maintain scalable data pipelines and ELT/ETL processes on GCP (BigQuery). Handle ingestion, transformation, orchestration, monitoring, performance tuning, and delivery of production-grade data products. Collaborate with analytics engineers, architects, and stakeholders to ensure migration success and long-term platform sustainability.

Design, develop, and enhance Scala backend services for large-scale applications. Optimize performance, troubleshoot production issues, collaborate with cross-functional teams, mentor engineers, and improve engineering practices and code quality.