AWS Python Lead Developer

Responsibilities

• Contribute to the design, development, and deployment of the firm’s central data marketplace platform, ensuring scalability, performance, reliability, and security to serve enterprise-wide business needs.
• Architect and build modern, user-friendly, and highly responsive full-stack applications that enable seamless discovery, access, and governance of data assets across the organization.
• Architect and build event-driven processes such as data subscriptions and distribution.
• Integrate advanced AI and agentic capabilities (OpenAI, LangChain, LangGraph, etc.) into the platform to power intelligent search, recommendation, automation, and operational intelligence features.
• Collaborate with the Lead Technologist II to ensure the platform aligns with the firm’s strategic data management vision and technical architecture.
• Drive the evaluation and implementation of emerging technologies, frameworks, and cloud services to ensure the product remains at the forefront of innovation and delivers differentiated value.
• Champion software engineering best practices, including CI/CD, automated testing, code reviews, and agile development methodologies.
• Mentor junior engineers and actively contribute to architectural decisions, technical standards, and continuous improvement initiatives.

Requirements

• Minimum of 7+ years of hands-on software engineering experience, with a strong track record of delivering complex, scalable, and high-impact products.
• Bachelor’s degree required; Master’s or equivalent experience in Computer Science, Engineering, or related field preferred.
• Deep expertise in full-stack development, including frontend technologies (React, Angular, Vue, or equivalent), backend technologies (Python, Java, Node.js, etc.), and RESTful API design.
• Proven ability to design and deliver modern software products leveraging distributed systems, microservices, and event-driven architectures.
• Experience leveraging modern data and workflow tools such as Airflow, Kafka, Spark, DuckDB, DBT, Dremio, and Postgres.
• Experience integrating advanced AI/ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph, MCP, etc.
• Solid understanding of enterprise data management concepts, including data discovery, governance, access control, and security.
• Excellent communication skills, able to engage effectively with technical and non-technical stakeholders.
• Highly collaborative, proactive, and comfortable working in fast-paced, dynamic environments.
• Strong problem-solving skills, with a passion for leveraging new technologies to drive product innovation and operational excellence.