Product Engineer
About The Position
Join a product engineering team within Allstate that builds and operates mission-critical internal platforms. Our team develops full-stack applications that power deployment orchestration, compliance automation, secrets management, and security scanning across the enterprise. We operate using Extreme Programming (XP) agile practices, embrace AI-augmented engineering workflows, and are committed to engineering excellence, security, and continuous improvement. As a Product Engineer (Mid-Level), you will contribute to the design, development, and maintenance of full-stack applications using modern, AI-augmented engineering practices. You will work within a collaborative XP agile product team to deliver high-quality software, participate in architectural decisions, and support a stable, scalable codebase. This is an individual contributor (IC) role with no supervisory responsibilities. The ideal candidate combines strong software engineering fundamentals with fluency in AI-assisted development tools to deliver features with velocity and precision.
Requirements
- Languages & Frameworks Proficiency in Java and Spring Boot
- Experience with React and modern frontend development practices
- Frontend fundamentals: HTML5, CSS3, JavaScript/TypeScript
- Data & APIs Strong SQL experience with MSSQL, Oracle, or equivalent (queries, stored procedures, schema design)
- Experience building and consuming RESTful APIs
- Engineering Fundamentals Solid understanding of object-oriented programming, SOLID design principles, and Twelve-Factor App methodology
- Understanding of secure coding practices (e.g., OWASP Top 10, input validation, authentication/authorization patterns) and the ability to critically evaluate AI-generated code for security and correctness
- Ability to independently architect and deliver working features end-to-end with velocity
- Tools & Practices Version control using Git
- Unit and integration testing (e.g., JUnit, Mockito, Jest, React Testing Library)
- Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions)
- Familiarity with Docker or containerized environments
- Understanding of cloud environments (Kubernetes, AWS)
- Proficiency with AI-assisted development tools (e.g., GitHub Copilot, AI code assistants) for accelerating development workflows
Nice To Haves
- ORM experience (e.g., Hibernate/JPA)
- Experience with frontend state management tools (e.g., Redux)
- Experience working in a microservices or distributed system environment
- Experience leveraging generative AI and LLMs to enhance development productivity, automate workflows, or build intelligent features
- Secrets management (e.g., HashiCorp Vault) and database migration tooling (e.g., Flyway)
- Familiarity with event-driven architecture and messaging systems (e.g., Apache Kafka)
- Experience with OAuth2/JWT authentication and Spring Security
- Basic performance monitoring and optimization
- Serverless Functions (Azure Functions, AWS Lambda, or similar)
- GitHub Actions (advanced workflows, automation, environment strategies)
- GitOps principles or tooling (e.g., Argo CD, Flux)
- Experience with observability and APM tooling (e.g., DataDog, Prometheus)
Responsibilities
- Design, develop, and enhance full-stack features in alignment with established architecture and design guidelines.
- Implement backend services using Java and Spring Boot, and frontend components using React.
- Write, review, and maintain high-quality, testable code using TDD, pair programming, and code review practices.
- Leverage AI-assisted development tools (e.g., GitHub Copilot) to accelerate delivery, improve code quality, and enhance productivity.
- Critically evaluate AI-generated code for security vulnerabilities, correctness, and adherence to SOLID principles.
- Contribute to CI/CD pipelines and support reliable, automated deployment practices.
- Collaborate with product managers, designers, and engineering peers to clarify requirements and contribute technical input.
- Troubleshoot and resolve technical issues across the full application stack.
- Participate in daily standups, backlog refinement, iteration planning, and retrospectives.
- Support documentation and knowledge-sharing activities across the team.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
