Software Engineer - Law & Reg

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

• For this opportunity, the business can hire at Consultant or Sr Consultant level depending on qualifications & interview evaluation.

Law & Regulation delivers expert legal services that protect Allstate and its customers, while ensuring compliance with evolving regulatory and ethical standards. We provide comprehensive support in claims litigation, complex corporate transactions, and enterprise-wide compliance programs, helping the business confidently navigate today's legal landscape.

By leveraging innovative legal strategies and technology, we enable seamless collaboration, proactive risk management, and effective problem-solving across the organization. We demonstrate our core values through integrity, accountability, collaboration, and excellence. We are trusted legal advisors who put the needs of our customers and business partners at the heart of everything we do. We value each other, seek feedback, and take meaningful action to continuously improve.

The Software Engineer Sr Consultant I / II is a hands-on, full-stack developer responsible for the design, development, and delivery of features within our AI-enabled digital products. Reporting directly to the Engineering Manager, you will implement the strategic vision and architecture for our Generative AI and cloud-native solutions. Your primary focus will be translating user stories and high-level designs into robust, tested, and scalable code across the full stack-from the React frontend to the Python / Java backend microservices and the Azure AI integration layer. You will contribute directly to the successful operation, monitoring, and continuous improvement of our applications in a fast-paced, agile environment.

Key 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 Python (for AI) and Java / Spring Boot (for core APIs), integrating them with messaging queues (Kafka / Azure Service Bus).

Implement and optimize application code for integrating Large Language Models (LLMs) via the Azure OpenAI Service, focusing on prompt engineering, performance tuning, and maintaining security standards.

Build and maintain the data retrieval components, including data processing pipelines, vector embeddings, and indexing in vector databases.

Implement modern, responsive user interfaces using React to expose LLM-powered features to users.

Work within established MLOps and CI / CD pipelines (Azure DevOps, Kubernetes) to ensure fast, reliable, and automated deployment and monitoring of code and AI models in production.

Participate in agile ceremonies (standups, planning, retrospectives), provide technical input to product managers, and collaborate closely with data science and engineering teams.

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

Key Qualifications

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

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

Experience with modern frontend development using React, including state management and integrating with RESTful APIs.

Solid understanding of cloud-native development, and microservices architecture.

Experience with containerization using Docker and Kubernetes.

Experience integrating with Azure AI services, such as Azure OpenAI Service and Azure AI Search, is recommended..

Working knowledge of Large Language Model (LLM) integration concepts, including Prompt Engineering, Vector indexing, and model serving pipelines, is preferred.

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

Familiarity with distributed messaging systems such as Kafka or Azure Event Hubs.

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

Hands-on Microservice Development Experience using RESTful APIs.

Experience with Microsoft Fabric for data ingestion and reporting workflows is a plus.

4-year Bachelor's degree preferred.

#LI-JJ1

Skills

Agile Methodology, Containerization, Full Stack Development, Java, Large Language Models (LLMs), Microsoft Azure Cloud Services, Microsoft Azure Data and AI, Python (Programming Language), RESTful APIs, Spring Boot

Compensation

Compensation offered for this role is $78,600.00 - 142,275.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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To view the "EEO is the Law" poster click " here ". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click " here ". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.