Tech Lead – Automation

Role Overview

• Guide and validate the team's technical decisions, ensuring quality, architectural consistency and adherence to Inmetrics standards.
• Conduct or supervise code reviews, providing constructive feedback and raising the technical quality of deliveries.
• Support the team in resolving complex technical issues, acting as a hands-on reference and not just as a manager.
• Ensure the adoption of engineering best practices: automated testing, CI/CD, documentation, observability and security.
• Monitor and influence the technical evolution of the product and project, identifying technical debt, risks and improvement opportunities.
• Hold regular 1:1s with team members to provide a space for listening, feedback and continuous development.
• Define and follow up on IDPs (Individual Development Plans) for each person under your leadership, in partnership with HR.
• Conduct periodic performance evaluations, offering structured, fair and growth-oriented feedback.
• Identify training needs and propose learning paths aligned with the team's and organization's objectives.
• Actively work on talent retention by recognizing contributions, managing career expectations and signaling promotions and salary progression.
• Promote a psychologically safe, inclusive, collaborative and high-performance work environment.
• Actively participate in agile ceremonies (Planning, Daily, Review, Retrospective), ensuring technical clarity, focus and delivery cadence.
• Collaborate with the Product Owner in backlog prioritization and refinement, translating business requirements into viable technical tasks.
• Track the team's progress in terms of velocity, quality and predictability, identifying bottlenecks and process improvement opportunities.
• Provide visibility of the technical status of projects to internal and external stakeholders, communicating risks and action plans.
• Remove technical and organizational impediments, coordinating with other areas when necessary.
• Foster a culture of continuous learning within the team through knowledge sharing, tech talks, pair programming and encouragement of experimentation.
• Contribute to the organization's knowledge base with technical documentation, architectural decisions and lessons learned.
• Encourage the adoption of Artificial Intelligence in development practices, aligning the team with Inmetrics' AI Engineered strategies.
• Serve as the technical interface with clients, participating in meetings, solution presentations and scope alignments when needed.
• Support the Pre-Sales team with technical proposals, estimates and solution definition for new opportunities.
• Maintain a consultative relationship with internal (Delivery, CSM, PO, Pre-Sales) and external (clients) stakeholders, managing expectations with clarity and professionalism.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems or related fields.
• Postgraduate degree, MBA or advanced certifications in technology or people management (desirable).
• Minimum of 7 years of software development experience, with at least 3 years in technical leadership roles (Tech Lead, Squad Lead or similar).
• Proven experience in direct people management: 1:1s, IDPs, feedback, performance evaluations and career development.
• Experience in agile environments (Scrum, Kanban, SAFe) with multidisciplinary teams.
• Track record in medium to large complexity projects, preferably in digital transformation, systems modernization or Cloud contexts.
• Experience in GenAI applied to process automation.
• Strong knowledge of RPA routines, with sufficient depth to guide and review the team's work.
• Solid understanding of modern architectures: microservices, REST/GraphQL APIs, event-driven and cloud-native systems.
• Knowledge of observability, monitoring and application security.
• Familiarity with AI tools applied to software development (Copilots, LLMs, test automation) is a relevant advantage.
• Experience with remote/distributed squads or teams.
• Experience in initiatives for modernizing legacy systems.
• Applied knowledge of Artificial Intelligence in software engineering contexts.

Tech Stack

• Cloud
• GraphQL
• RPA

Benefits

• Bradesco Health Plan (30% co-payment)
• Bradesco Dental (no employee contribution)
• Life Insurance
• Wellhub (Gympass)
• Childcare allowance
• Special-needs child allowance
• Payroll-deductible loans
• Private pension plan
• Pet benefit
• SESC benefits
• Conexa Telemedicine
• Financial assistance
• Meal / Food allowance
• Multi-benefit card
• Medical plan upgrade
• We are a Caring Company: extended maternity and paternity leave
• INMaterna Program: support program for pregnant employees
• Newborn care package and the book "Acontecia quando eu nascia"
• Professional development: courses available through the internal university
• 100% remote or hybrid, depending on project applicability.