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They combine strong hands-on software expertise with effective cross-functional\ncollaboration, leading and mentoring engineers to deliver high-quality outcomes.\nResponsibilities:\n1. Set technical objectives and priorities aligned with company goals and roadmap.\n2. Partner with Product, Design, and stakeholders to define requirements, timelines, and\ndeliverables.\n3. Own architecture and implementation to ensure scalability, reliability, and performance.\n4. Run code reviews and enforce engineering best practices.\n5. Reduce technical debt and improve development processes.\n6. Track industry trends and recommend adoption where relevant.\n7. Build a culture of collaboration, innovation, and continuous learning.\n8. Communicate technical concepts clearly to non-technical stakeholders.\nTech stack: Go, Python, TypeScript, Node.js, PostgreSQL, ORMs, Redis, Elasticsearch, S3/object storage,\nREST APIs, gRPC, AWS/GCP, Docker, Kubernetes.\nMinimum Education Required: Bachelor’s degree in Software Development, Computer Science,\nSoftware Engineering, a closely related field, or a foreign degree equivalent.\nMinimum Employment Experience Required: 5 years of experience in the job offered, or similar\nsoftware engineering position owning AI data workflows from raw ingestion through production-level\nmodels.\nSkillset requirements: 5 years owning AI data workflows from raw data ingestion through production-\nlevel models, including building and managing data-heavy systems used for AI or advanced analytics,\nmust also include the following:\n1. 4 years of experience at fintech startups within the investment space.\n2. 3 years of experience leading teams to build core software products while staying technical,\nincluding buy-side or market data platforms.\n3. 1 year with AI coding assistants (Cursor, Claude Code, or similar)\n4. Experience with Golang or Python\n5. 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