Head of Engineering

Worldwide | May 30, 2026

Report as Closed

Company: BNamericas

Salary: $0 - $0

Type: Remote

Employment: Full-time

Description: Join our team and be part of the leading Business Intelligence company in Latam!

BNamericas is the main business intelligence platform focused on Latin America.Through our SaaS model we deliver news, data and strategic analysis in key sectors such as energy, mining, infrastructure, telecommunications and financial services. 
We are strengthening our commercial team and are looking for a highly disciplined and results-oriented SDR to support the generation of new business opportunities.We are looking for a profile with a modern mindset and oriented towards efficiency, capable of using artificial intelligence tools to optimize prospecting, personalize messages and improve their commercial productivity.

• 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-coachcapacity.
• 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.

• Java Springboot, Full Stack Development
• Python using Django and/or FastAPI with ORM-based development
• PostgreSQL
• Containerization using Docker and DockerCompose
• 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 tohiring, 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.

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