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, Google Cloud Platform) 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.
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 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90922487
- Position Id: 24922675
- Posted 1 day ago
