Software Engineer Lead Consultant

Allstate

18h

About The Position

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. For more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs, from advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. The Product Engineer, Lead Consultant contributes to the development of full‑stack applications using modern, AI-augmented engineering practices. This role works collaboratively within an XP agile product team to deliver high‑quality software, support technical decisions, and maintain a stable, scalable codebase. This position does not include supervisory responsibilities.

Requirements

5+ years of professional software engineering experience (Preferred)
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

Nice To Haves

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)

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.