Head of Engineering

Experience implementing AI-driven solutions in production environments. Experience managing platform integrations (e.g., Appian) and broader system interoperability. Experience with data workflows, pipelines, or data acquisition. Familiarity with DevOps practices, observability, and cloud infrastructure (e.g., AWS). Proven experience leading engineering teams in a hands-on / player-coach capacity. Strong track record of delivering complex technical projects with clear ownership and accountability. Solid architectural and technical judgment in building scalable systems. Experience working cross-functionally with product and business stakeholders. Experience with Infrastructure cost optimization strategies. Ability to balance hands-on involvement with leadership responsibilities. Fluent English is required; Spanish and/or Portuguese are a plus. Entrepreneurial mindset with a focus on execution, impact, and continuous improvement. Technical skills: Java Springboot, Full Stack Development Python using Django and/or FastAPI with ORM-based development PostgreSQL Containerisation using Docker and Docker Compose AWS, DevOps, CI/CD, infrastructure automation Unit testing and software quality practices QA automation frameworks such as Playwright AI-powered pipeline hosting and orchestration strategies - AWS Step Function, AWS ECS Task Processors, AWS Serverless, S3, Secret Managers, ECS Services, Lambda, API Gateway, etc. Generative AI, Agentic AI, MCP, LangGraph, VertexAI, and LangChain Modern AI coding tools such as Cursor, Windsurf, Claude Code, Roo Code, AntiGravity, or similar Lead and develop a small engineering team, fostering a culture of accountability, ownership, and continuous improvement. Drive delivery discipline, ensuring clear prioritization, execution, and timely delivery of key initiatives. Provide sound architectural guidance and technical decision-making to ensure scalability, reliability, and maintainability of the platform. Partner closely with product, content, and business stakeholders to align engineering priorities with company goals. Contribute to hiring, coaching, and developing engineering talent as the team evolves. Guide the adoption of AI-enabled solutions to improve workflows, data processes, and product capabilities. Actively contribute to the codebase and technical problem-solving, maintaining a hands-on role in development and supporting the team in critical implementations.