Software Engineer Lead Consultant

Allstate is a company dedicated to protecting families and their belongings from life's uncertainties. The Software Engineer Lead Consultant will contribute to the development of full-stack applications and work collaboratively within an agile product team to deliver high-quality software and maintain a stable codebase.

Responsibilities:

• 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
• Participate in daily standups, backlog refinement, iteration planning, and retrospectives
• Collaborate with product managers, designers, and engineering peers to clarify requirements and contribute technical input
• Contribute to CI/CD pipelines and support reliable deployment practices
• Write, review, and maintain high‑quality, testable code using TDD, pair programming, and code review practices
• Troubleshoot and resolve technical issues across the application stack
• Support documentation and knowledge‑sharing activities across the team
• Participate in discussions that influence technical direction and best practices within the team
• Leverage AI-assisted development tools to accelerate delivery, improve code quality, and enhance productivity

Requirements:

• Proficiency in Java, Spring Boot with React and modern front-end development practices
• Strong SQL experience with MSSQL, ORACLE, or equivalent (queries, stored procedures, schema design)
• Experience building and consuming RESTful APIs
• Solid understanding of object-oriented programming, design principles (SOLID), and Twelve-factor app
• 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
• Proven use of paired programming and TDD
• 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)
• Frontend fundamentals: HTML5, CSS3, JavaScript/TypeScript
• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, AI code assistants) for accelerating development workflows
• Familiarity with event-driven architecture and messaging systems (e.g., Apache Kafka)
• Ability to independently architect and deliver working features end-to-end with velocity
• ORM experience (e.g., Hibernate/JPA)
• Experience with frontend state management tools
• Basic performance monitoring and optimization
• 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)
• Serverless Functions (Azure Functions, AWS Lambda, or similar)
• GitHub Actions (advanced workflows, automation, environment strategies)
• GitOps principles or tooling (e.g., Argo CD, Flux)