Tech Lead – AI Engineering

Accountabilities •

Technical Architecture: Lead architectural decisions across the platform, document the rationale behind key choices, and ensure solutions remain scalable, maintainable, and aligned with business objectives.

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Engineering Leadership: Guide the development squad by establishing coding standards, conducting code reviews, maintaining quality expectations, and supporting a consistent delivery pace.

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Hands-On Development: Actively contribute to implementation, working alongside the team to develop, review, troubleshoot, and improve production-quality software.

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AI-Assisted Engineering Strategy: Define how the team uses AI development tools, including tool selection, review practices for AI-generated code, quality controls, and guidelines for situations where AI assistance is unsuitable.

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Cloud Infrastructure and Deployment: Define strategies for containerization, deployment, observability, and infrastructure as code within Microsoft Azure.

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Integration Management: Serve as the primary technical counterpart for external integration partners, anticipate dependency risks, and design resilient integration layers that protect the platform from unstable third-party contracts.

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Asynchronous Processing: Design and guide reliable event-driven and asynchronous workflows using messaging and queueing technologies.

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Product and Technical Alignment: Collaborate with product owners and designers to translate technical constraints into informed product decisions and turn product needs into feasible engineering solutions.

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Data Architecture: Guide relational and non-relational database design, ensuring the appropriate technologies are selected based on performance, scalability, and application requirements.

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Team Mentorship: Support the professional growth of engineers through mentoring, pair programming, knowledge sharing, and the communication of architectural and business context.

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Risk and Quality Management: Balance delivery timelines with long-term technical sustainability, proactively identifying risks and proposing practical alternatives when trade-offs are necessary.

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Continuous Improvement: Encourage experimentation, modern engineering practices, and continuous improvement across the development lifecycle.

Requirements

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Software Engineering Experience: Extensive experience in software development, including demonstrated responsibility for technically leading development squads and guiding engineering decisions.

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Full Stack Development: Strong hands-on experience with Java on the backend and React on the frontend, with the ability to contribute meaningfully across the full application stack.

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Cloud and Containerization: Practical experience with Docker, containerized applications, deployment processes, and operating workloads in Microsoft Azure.

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Relational Databases: Deep understanding of relational database modeling, performance optimization, migrations, and data integrity.

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Non-Relational Databases: Experience with non-relational databases and the ability to evaluate when relational or non-relational approaches are most appropriate.

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Asynchronous Messaging: Experience with messaging and event-driven technologies such as RabbitMQ, Amazon SQS, Amazon SNS, or Kafka.

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AI-Assisted Development: Regular, practical use of AI-powered software development tools such as Claude Code, GitHub Copilot, Cursor, or equivalent solutions. You should understand where these tools accelerate delivery and where human judgment, review, and conventional engineering practices are essential.

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Third-Party Integrations: Experience integrating external APIs and designing anti-corruption layers or similar architectural patterns to isolate systems from unstable external interfaces and changing contracts.

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Technical Communication: Ability to explain and defend technical decisions clearly with clients and stakeholders, including communicating trade-offs, risks, and alternative approaches.

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Ownership and Autonomy: A proactive mindset, strong accountability, and the ability to lead technical initiatives independently from design through implementation.

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Adaptability: Comfort working with ambiguity, evolving requirements, and changing priorities while maintaining focus on delivery and technical quality.

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Pragmatic Decision-Making: Ability to make sensible trade-offs, deliver within realistic timelines, and avoid compromising long-term maintainability unnecessarily.

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Additional Advantage — Healthcare Technology: Experience with healthcare-related projects, sensitive data, and Brazil’s General Data Protection Law (LGPD).

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Additional Advantage — Early-Stage Products: Experience developing minimum viable products (MVPs) and helping teams make architectural decisions under uncertainty.

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Additional Advantage — Legacy Modernization: Experience working with legacy applications, monolithic architectures, and gradual modernization initiatives.

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Additional Advantage — Multi-Cloud: Experience working across both Microsoft Azure and Amazon Web Services (AWS).

Benefits

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Remote Work: Fully remote working model, offering flexibility in how you organize your work.

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Technical Autonomy: Significant influence over architecture, engineering standards, technical strategy, and development practices.

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Hands-On Leadership: The opportunity to combine technical leadership with direct coding and problem-solving.

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AI Engineering Innovation: A working environment where AI-assisted development is an integral part of engineering workflows and continuous improvement.

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Professional Development: Opportunities to strengthen expertise in cloud architecture, full stack engineering, AI-powered development, and technical leadership.

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Mentorship and Knowledge Sharing: A collaborative culture that encourages pair programming, technical learning, and the development of engineering talent.

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Strategic Project Exposure: The chance to work on technically challenging initiatives with direct influence on product direction and business outcomes.

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Learning Community: Access to a broader culture of knowledge sharing, professional development initiatives, and technical communities.

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Inclusive Environment: A commitment to diversity, respect, ethics, and equal opportunity, welcoming professionals from different backgrounds and experiences.

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Accessibility and Inclusion: The opportunity is also open to people with disabilities (PwD). How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1