• Lead and develop the Controls Engineering Team • Lead, mentor, and grow a team of controls engineers and software developers • Responsible for microgrid control code and documentation • Set clear technical direction, review designs and code, and support career development across the team • Establish and enforce development best practices including version control, pull requests, coding standards, and unit testing • Own Microgrid Controls Architecture and Roadmap • Define the technical approach and long-term roadmap for the supervisory microgrid controller, equipment control interfaces, and SCADA integration • Translate system-level requirements into scalable, maintainable control software architectures • Partner with internal teams to align controls strategy with system performance, reliability, and operational goals • Enable Equipment Integration and Grid Compliance • Coordinate with equipment suppliers across PV, wind, battery storage, and thermal generation to define control interfaces and qualification requirements • Define and tune key parameters such as droop control, dispatch logic, and ride-through behavior • Ensure grid-connected operation complies with utility interconnection agreements and applicable ancillary market requirements • Validate, Test, and Improve System Performance • Lead validation planning across Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), vendor testing, and site-level validation • Oversee modeling and analysis of economic tradeoffs including fuel efficiency, cycling, curtailment, and interconnection constraints • Assist with post-event root cause analysis, reviewing telemetry and event logs to improve reliability and performance • Support Operations and Continuous Improvement • Partner with operations teams to diagnose unexpected control behavior and drive timely resolution • Document issues clearly and coordinate corrective actions across internal and external stakeholders • Use operational learnings to continuously improve control strategies and development processes

• Estamos em busca de uma pessoa Senior Software Engineer, que irá atuar como referência técnica e bem mão na massa no time de Aquisições (Martech). • Atuar em parceria diária com Marketing/Growth para aquisição de novos clientes, dados e risco para evoluir a plataforma e os fluxos de aquisição (landing → cadastro → KYC → ativação). • Desenhar e operar infraestrutura de experimentação (feature flags, A/B), tracking/atribuição end-to-end (UTM, MMP, Sinais) e ferramentas internas para o time de marketing. • Otimizar performance e confiabilidade do funil (Core Web Vitals, latência, SLOs), com foco em privacidade e conformidade (LGPD/consentimento). • Objetivo: aumentar conversão, reduzir CAC/CPA, acelerar o ciclo de experimentos e diminuir drop-offs nas etapas críticas.

• Work as part of an agile scrum team, participating in all agile ceremonies • Complete user stories during two-week sprints which will enhance React and Ruby on Rails based web applications • Collaborate with your scrum team to refine requirements and propose solutions to complex problems • Continuously improve the team's approach in order to increase efficiency and quality of delivery

• Implement Agentic AI and LLM-powered workflows using tools like Tines, and models such as AWS Bedrock, ChatGPT, Gemini. • Deploy automation to cloud infra with Infrastructure as Code (IaC) (i.e. Terraform) • Build and maintain automation workflows across key enterprise platforms (i.e. Atlassian, Okta, Google Workspace, Slack, Zoom, knowledge management systems), cybersecurity systems (i.e. SIEM, GRC platforms, Data Security Platforms, etc.), and cloud environments (AWS, GCP). • Build AI-driven chatbots or intelligent agents that automate tasks, support conversational workflows, and integrate with enterprise applications. • Partner with IT, Security, GRC, Procurement, and business teams to automate operational tasks and processes to reduce toil and improve efficiency. • Develop integrations using REST APIs, JSON, webhooks, and scripting languages (JavaScript, Python). • Follow established automation and AI standards for quality, security, and governance; provide improvements where appropriate. • Troubleshoot, maintain, and optimize existing workflows to improve stability and performance. • Document designs, workflows, configurations, and operational procedures. • Participate in code reviews, technical discussions, and team-based learning to uplift engineering quality and consistency. • Work with various tooling in Security, IT, and Production Engineering