Enterprise Software Developer Expert

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And 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. 

Job Description

Enterprise Software Developer Expert

Allstate Insurance Company – Northbrook, Illinois
This position is 100% remote and can be performed from anywhere in the United States.

• Architect and design digital products using modern tools, software technologies, frameworks, and systems, including Java and Python Machine Learning, and generative Artificial Intelligence (AI) applications unique to the insurance industry.
• Build and configure dev-ops and cloud based tools including Jenkins, Azure, AI Foundry, AI Search, AWS, AWS Bedrock, and Amazon Connect.
• Apply a systematic application of scientific and technological knowledge, methods, and experience to the design, implementation, testing, and documentation of software to automate and enhance insurance processes with generative AI and machine learning capabilities, using patterns such as RAG.
• Build and maintain traditional, non-AI microservice applications specific to the insurance industry.
• Own and manage running applications in production including the successful launch of digital products by achieving specific Key Performance Indicators (KPIs) -- AI based key performance indicators including how precise AI output is compared to the human equivalent and time saved.
• Participate in product scoping, discovery and framing, and inceptions providing technical input and helps translate user features into system design of client facing portals, AI insights and service, backend business critical insurance applications.
• Use retrieval augmented generation, client-server architecture, pub-sub architecture (Kafka), microservices architecture, and REST.
• Lead daily site, cross-site, and product team standups, and shape the architecture and design of the product.
• Collaborate and align strategy across product portfolios (cross-product) in partnership with product managers, peers. and stakeholders.
• Serves as a subject matter expert on multiple technology stacks.
• Coach the team and lead daily practices of using paired programming and test-driven development in writing software and building products.
• Establish continuous integration, continuous delivery, and continuous deployment pipelines and practices using Jenkins, Git, linters, Kubernetes, and other CICD enablement tools.

Requirements

• Master's degree in Computer Science, Computer Engineering or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Enterprise Software Developer Expert or related occupation architecting, designing, and implementing software applications using RAG, Java, Python, Spring, vector databases, SQL databases, NoSql databases, Javascript, Typescript, React, React Native, Node.js, REST, Kubernetes, containers, AWS, Azure, Jenkins, and Git
• or, alternatively, a Bachelor’s degree in Computer Science, Computer Engineering or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Enterprise Software Developer Expert or related occupation architecting, designing, and implementing software applications using RAG, Java, Python, Spring, vector databases, SQL databases, NoSql databases, Javascript, Typescript, React, React Native, Node.js, REST, Kubernetes, containers, AWS, Azure, Jenkins, and Git.

Specific skills/other requirements - Experience must include (quantitative experience requirements not applicable to this section):

• Architect and design digital products using modern tools, software technologies, frameworks, and systems, including: Java, Python, Spring, and Spring Boot frameworks for microservice development.
• Apply a systematic application of scientific and technological knowledge, methods, and experience to the design, implementation, testing, and documentation of software to automate and enhance insurance processes, including AI-powered claims adjudication, underwriting workflows, and risk scoring engines.
• Participate in product scoping, discovery, and framing, and inceptions by providing technical input to translate user features into system designs for system design using retrieval augmented generation (RAG) for dynamic insurance knowledge retrieval.
• Establish continuous integration, continuous delivery, and continuous deployment pipelines and practices using Jenkins, GIT and GITHub, Linters and Kubernetes.

This position is 100