About the Role

We are seeking a Software Engineer with solid backend experience to design and deliver production-grade features end-to-end. You will operate with meaningful autonomy on moderately complex problems, take ownership of quality, and begin shaping technical decisions within your squad — including how AI tools are used responsibly across the team.

Responsibilities

- Design and implement backend services and APIs using both Java (Spring Boot / Quarkus) and Python (FastAPI), selecting the appropriate language and framework for the problem at hand
- Apply object-oriented design with confidence: design class hierarchies, favor composition over inheritance, apply SOLID principles, and refactor code that violates them
- Select and apply design patterns appropriately — Adapter, Repository, Observer, Decorator, Template Method, and others — and articulate the trade-offs of each choice in code reviews
- Design and document RESTful APIs: resource modeling, versioning strategies, pagination, error schemas, and authentication via OAuth 2.0 / JWT
- Write intermediate to advanced SQL Server queries: window functions, CTEs, stored procedures, index strategies, and execution plan analysis for optimization
- Implement Kafka producers and consumers in production services: manage consumer groups, handle offset commits, design for idempotency, and deal with deserialization errors
- Deploy and configure Azure services: Azure Kubernetes Service (AKS), Azure Key Vault, and Azure AppInsights; understand how these map to cloud-native patterns
- Manage Git workflows at the team level: enforce branching conventions, conduct meaningful code reviews, resolve complex merge conflicts,



and use rebase and cherry-pick confidently
- Integrate AI development tools (Claude Code) into daily workflows — using them for design exploration, test generation, code review assistance, and documentation — while enforcing quality gates on all AI-generated output
- Mentor junior developers through pair programming, structured feedback, and design walkthroughs
- Deliver accurate estimates, communicate risks proactively, and own feature quality end-to-end

Qualifications

Required Skills & Experience

- 2–5 years of professional backend software development experience
- Proficiency in both Java (Spring Boot / Quarkus) and Python (FastAPI)
- Solid command of OOP design and SOLID principles with demonstrable application
- Practical knowledge of common design patterns and the ability to recognize and correct anti-patterns
- Strong RESTful API design skills including versioning, error handling, and security
- Intermediate SQL Server skills: query optimization, indexing, transactions, and schema design
- Production experience with Kafka: consumers, producers, consumer groups, and offset management
- Hands-on experience deploying to Azure (AKS, Azure Key Vault, Azure AppInsights, or equivalent)
- Fluent in team Git workflows including branching models (GitFlow or trunk-based) and pull request best practices
- Demonstrated use of AI coding assistants to improve productivity without compromising code quality

Nice to Have

- Experience with Azure DevOps pipelines for CI/CD
- Knowledge of Kafka Streams or schema registry
- Exposure to API gateway patterns
- Contributions to internal libraries or shared tooling
- Experience authoring AI tool usage guidelines for a team

📌 Senior Software Engineer (San Pedro Garza García)
🏢 Chubb
📍 San Pedro Garza García