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Tech Lead – AI Engineering
FCamara Consulting & Training. Drive platform architecture decisions and document the rationale behind them .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack software development with a focus on Java and React, alongside strong capabilities in containerization, Azure deployment, and AI-assisted development tools. Proven ability to lead technical squads, mentor team members, and effectively communicate technical decisions to stakeholders.
Highest-signal resume keywords
Full-Stack DevelopmentJava Backend DevelopmentReact Frontend DevelopmentAzure DeploymentContainerization with Docker
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentRelational Database ManagementNon-Relational Database KnowledgeAsynchronous ProcessingAPI IntegrationAI-Assisted Development ToolsTechnical DocumentationCode ReviewInfrastructure as CodeAnti-Corruption Layer Design
Soft Skills
Mature Communication SkillsAutonomyPragmatismJudgmentComfort with Ambiguity
Tools & Technologies
DockerRabbitMQSQSSNSKafkaClaude CodeCopilotCursorAzureAWS
Industry Keywords
Healthcare ProjectsSensitive DataBrazil’s LGPDMVP-Stage ProductsLegacy ProductsMonoliths
Tech Stack
Tools & technologiesAWSAzureDockerJavaKafkaRabbitMQReact
About the role
Key responsibilities & impact- Drive platform architecture decisions and document the rationale behind them
- Technically lead the squad by defining standards, conducting code reviews, and ensuring delivery quality and momentum
- Write code and build alongside the team
- Define tools and practices for AI-assisted development, including output review and usage boundaries
- Serve as the technical liaison with an external integration partner, anticipating and managing dependency risks
- Define the strategy for containerization, deployment, observability, and infrastructure as code in Azure
- Translate technical constraints into product decisions with the Product Owner and design team, and vice versa
- Develop the team through mentoring, pairing, and context sharing
Requirements
What you’ll need- Proven experience in software development, with hands-on experience leading technical squads
- Full-stack experience with Java on the backend and React on the frontend
- Experience with Docker and containerization
- Experience deploying and operating applications on Azure
- In-depth knowledge of relational databases, including modeling, performance, and migrations
- Knowledge of non-relational databases and the ability to justify when to use each type
- Experience with asynchronous processing using RabbitMQ, SQS, SNS, or Kafka
- Daily use of Claude Code, Copilot, Cursor, or equivalent tools for AI-assisted development
- Sound judgment regarding where AI tools accelerate development and where they hinder it
- Experience integrating third-party APIs
- Knowledge of designing an anti-corruption layer for unstable contracts
- Mature communication skills to confidently support technical decisions in front of clients
- Autonomy and a strong sense of ownership
- Comfortable working with ambiguity and evolving requirements
- Ability to say no and present alternatives
- Pragmatism in choosing solutions appropriate to the timeline without compromising the future
- Nice to have: Experience with healthcare projects involving sensitive data and Brazil’s LGPD; MVP-stage products; legacy products and monoliths; Azure and AWS
Benefits
Comp & perks- Autonomy, collaboration, and continuous innovation
- Active participation in technical and architectural decisions
- Strategic projects with a real impact on the business
- Professional development through mentoring, pairing, and context sharing
- Remote work