Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)

Allstate Insurance Company; Northern (KY); Hybrid; USD 120,000 - 194,000; Full time

Job summary

Allstate Insurance Company in the United States is seeking a Machine Learning Software Engineer Senior Consultant II who will own the full stack, apply 12-factor principles, and drive CI/CD and testing practices across the product. The role requires strong Java 17+ with Spring Boot 4.x+, proficiency in Python, and experience deploying GenAI/ML systems to production while guiding junior engineers.

You will collaborate to design features, troubleshoot production issues, uphold security standards,

Qualifications

• 3+ years of professional software engineering experience.
• Strong Java 17+ and Spring Boot 4.x+ expertise.
• Python proficiency.
• Experience deploying GenAI/ML systems to production.
• Experience building/maintaining CI/CD pipelines (Jenkins, GitHub Actions).
• Experience with MongoDB schema design and performance tuning.
• Experience implementing authentication (OAuth, OIDC, SSO).
• Familiarity with cloud services (AWS, Azure, GCP).

Responsibilities

• Architect and design features across UI, APIs, backend, and infrastructure.
• Develop and maintain features end-to-end across the product platform.
• Practice test-driven development and daily paired programming.
• Expand test coverage and CI/CD pipelines and deployment readiness.
• Lead standups and participate in retrospectives across sites and teams.
• Troubleshoot production issues and perform root-cause analysis.

Skills

Java 17+

Spring Boot

Python

Data Science

Machine Learning

API

Tools

MongoDB

Jenkins

GitHub Actions

AWS

Azure

GCP

Job description

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

Machine Learning Software Engineer Senior Consultant II implements applications following 12-factor principles to build out the product and iterative enhancements. They own the full stack of software products and backend services. They leverage test driven development and continuous integration to ensure agility and quality of products. They actively participate in the decision‑making process of the team ensuring that the simplest appropriate technology and design is chosen to meet user needs.
This is a software engineering‑first role. Strong Java/Spring Boot development experience is required. Experience deploying Machine Learning and Generative AI solutions into production is highly desirable.

• Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
• Designs, develops, and maintains features across the product platform, including UI, APIs, backend services, and supporting infrastructure
• Practices daily paired programming and test-driven development in writing software and building product
• Expands test coverage and ensures adherence to test-driven development practices
• Participates in executing the strategy, keeping the customer needs and wants in mind
• Serves as an expert on a specific business domain and demonstrates leadership and accountability on at least one technology stack
• Coaches more junior team members around different technologies and XP practices
• Establishes continuous integration, continuous delivery, and continuous deployment pipelines and practices
• Reviews deployment readiness through automated and manual verification activities
• Troubleshoot production issues and perform root cause analysis during service disruptions
• Provides support for software products in user environments
• Addresses security findings, vulnerability remediation, and compliance requirements
• Leads and participates in daily site, cross‑site, and product team standups
• Participates in retrospectives to gather feedback and derive actionable items to improve the team and the product
• Participates in iteration planning meetings ensuring that the team has a common understanding of each story and chores in a team’s backlog

Experience

• 3 or more years of experience
• Strong proficiency in Java 17+ and Spring Boot 4.x+
• Proficiency in Python
• Experience deploying GenAI and/or machine learning systems into production. Experience building GenAI systems is preferred but not required.
• Prior experience building and/or supporting CI/CD pipelines (Jenkins, GitHub Actions, or equivalent).
• Prior experience working with MongoDB, including schema design, indexing, and performance optimization
• Demonstrated experience supporting production applications, monitoring, and incident response
• Prior experience implementing authentication (OAuth, OIDC, SSO)
• Familiarity with observability platforms, logging, and application monitoring
• Prior experience using cloud services (AWS, Azure, GCP) is a plus

Supervisory Responsibilities

• This job does not have supervisory duties.

Skills

Application Programming Interface (API), Data Science, Java (Programming Language), Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Spring Boot

Compensation

Compensation offered for this role is 120,000.00 - 193,725.00 annually and is based on experience and qualifications.

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

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.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.

For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO Know Your Rights” 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.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.

Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.