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Allstate · 1 week ago

Software Engineer Lead Consultant - Allstate Financial Services

United States

Full-time

Remote

Senior Level

$96K/yr - $171K/yr

5+ years exp

Allstate is a company dedicated to protecting families and their belongings from life's uncertainties. The Software Engineer Lead Consultant is a hands-on, full-stack developer responsible for designing, developing, and delivering features within AI-enabled digital products, ensuring their success through achieving KPIs.

BankingFinanceFinancial ServicesInsuranceInsurTechVenture Capital

No H1B

Responsibilities

Full Stack Feature Delivery: Design, develop, test, and deploy features across the entire application stack, ensuring a high-quality user experience and robust, high-performance APIs

Develop and maintain scalable, cloud-native microservices primarily using Java/Spring Boot (for core APIs), integrating them with messaging queues (Kafka/Azure Service Bus) and Python (for AI)

Establishes continuous integration, continuous delivery, and continuous deployment pipelines and practices

Participate in product scoping, discovery and framing, and inceptions providing technical input and helps translate user features into system design

Ensure code integrity through unit, integration, and performance testing, rigorous code reviews, and adherence to security best practices

Qualification

Java/Spring BootCloud-native developmentMicroservices architectureREST APIsDockerKubernetesLarge Language Models (LLMs)MLOps conceptsAgile MethodologyCode ReviewsSoftware Development

Required

5+ years of hands-on experience as a Full Stack Developer in an agile environment

Proficiency in Java/Spring Boot for developing highly scalable backend microservices

Solid understanding of cloud-native development, microservices architecture, 12-factor application principles, REST principles and security best practices

Experience and knowledge in developing REST APIs including tooling for documentation (swagger, REST-docs, open-air spec), versioning, service discovery/registration, testing and management; experience using API gateways a plus

Experience with containerization using Docker and Kubernetes

Experience in backend development design and implementation; database (relational, caching), messaging (Kafka) and Kubernetes development, implementation, and optimization

Experience with relational (MS SQL Server) and/or NoSQL databases (MongoDB/Document DB)

Working knowledge of LLM integration concepts like Prompt Engineering, RAG or model serving pipelines

Familiarity with MLOps concepts, CI/CD, and production monitoring in a cloud environment AWS or Azure