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Sr. Software Developer

MCKESSON

Irving, Texas

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Multiple Positions Available

COMPANY: McKesson Corporation

POSITION: Sr. Software Developer

LOCATION: 6555 State Highway 161, Irving, TX 75039

JOB DUTIES: Lead architecting, development, and deployment for internal-facing web-based applications and data access points to provide a wide array of services supporting strategic US Oncology Network goals. Understand core operations and functionality of a strategic data and analytics team and combine that with best practices around securing PHI and other sensitive data on public cloud infrastructure to provide an internal service and connection points to other interfaces. Engineer and implement internal facing applications for managing team data, models, and operations by analyzing functional or technical requirements. Integrate with multiple data assets and the data and analytics platform to make content available following best practices and strict PHI requirements. Integrate with security frameworks, content management databases, and other internal McKesson systems. Be a technical and innovation leader to drive change in how data and analytics are used to meet business objectives by using technical and industry knowledge. Establish strong working relationships with senior management and internal stakeholders to understand business needs and prioritize work streams for the platform and data access strategic roadmap. Lead deployment schedule and communications for the webbased application and analytics platform. Proactively and independently learns and utilizes new technology, concepts and procedures as appropriate to project requirements. Maintains current knowledge of industry technology trends. Telecommuting allowed from a home office anywhere in the U.S.

REQUIREMENTS: Bachelor’s Degree in Computer Science, or related field of study and Four (4) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation. Employer will also accept Master’s Degree in Computer Science, or related field of study and Two (2) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation in lieu of the Bachelor’s Degree in and Four (4) years of experience.

Experience must include 2 years in the following skills:

Back-end web development;
Development SQL database software;
Ruby on Rails;
VueJS;
MSSQL;
PostgreSQL;
Git;
Sidekiq;
Docker;
RSpec.

OFFERED WAGE: $134,971-189,600/year

CONTACT: To apply, please send resumes to . Reference #: 001770

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: .

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Principal, Front End Developer (Angular, Python)

+1

Job Description:

The Role

As a Principal Front End/Full Stack Developer in a Quantitative Development team, you will play a key role as a technical leader responsible for designing, implementing and deploying complex end-to-end web applications used by investment professionals and senior management executives. You will work closely with quantitative analysts as well as peer technology teams in a dynamic and fast-paced environment to architect robust technology solutions in areas such as portfolio construction, risk management, and alpha research.

Your Responsibilities

Lead the design, development and deployment of complex full-stack applications through the entire software development lifecycle
Define and own the technical architecture for new and existing web applications, ensuring they are scalable, reliable and maintainable
Provide technical leadership and mentorship to junior and senior teammates, establishing and enforcing coding standards through code reviews
Collaborate closely with Quantitative Analysts and other business users to translate business requirements into robust and intuitive technical solutions

The Expertise and Skills You Bring

Bachelor’s degree or equivalent experience in computer science, engineering, or a related field.
8+ years of hands-on experience designing, developing and deploying complex, scalable, end-to-end web applications
A proven track record of leading complex projects through the full software development lifecycle(SDLC) from requirements gathering and system design to production deployment and post-launch maintenance
Expertise in modern front-end development, particularly with Angular and its ecosystem. Experience with other UI frameworks (like React, Vue.js) is a plus
Strong Proficiency in back-end development with a main focus on Python and its web frameworks (eg Django, Flask).
Extensive experience designing, implementing and optimizing relational databases(e.g. Oracle, PostgreSQL, SQL Server). Strong SQL skills are a must
Experience with object-oriented design and development, and standard software design patterns.
Demonstrable ability to effectively communicate and collaborate with multiple collaborators, including product managers, UX/UI designers and other technology partners
Experience with data visualization libraries and UI component libraries
Solid background in financial services with an understanding of investment risk. Progress towards FRM or CFA Charter would be a strong plus

The Team

The Asset Management Embedded Quantitative Development team is part of Asset Management’s Quantitative Research & Investment Technology group that partners with the investment teams in Fidelity Asset Management Solutions on various projects including portfolio construction, risk management, and alpha research. We create high quality, robust, and efficient high-responsive solutions that are used to enhance Fidelity productivity and decision-making processes.

The base salary range for this position is $107,000-216,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:

Information Technology

Senior Software Engineer

+11

About Us

AgData Services sits at the intersection of modern cloud engineering and next-generation agricultural technology.

At CNH Industrial, our “connected” machines don’t just plant and harvest - they generate vast amounts of data in real time across millions of acres worldwide. That data travels over cellular networks into the Azure cloud, where our team ingests, transforms, and serves it to power customer experiences, research, analytics, and precision agriculture solutions.

AgData Services is composed of two tightly aligned teams:

Data Ingestion - responsible for normalizing, validating, enriching, and structuring agronomic data from diverse formats and generations of equipment (including third-party platforms).
API & Infrastructure - responsible for exposing this data through low-latency, highly scalable, cloud-native APIs used by front-end applications, internal engineering teams, and third party partners.

We operate at significant scale using cutting-edge technology:

High-throughput, event-driven data pipelines
Millions of API requests per day
Cloud-native systems running in Microsoft Azure
Modern .NET (including .NET 8 and newer)
Containerized workloads with Docker and Kubernetes
CI/CD pipelines and code management in GitLab
Observability and monitoring through tools like Azure App Insights and Datadog

We follow agile development practices with short feedback loops, iterative delivery, and a strong culture of ownership. Engineers participate in backlog refinement, sprint planning, architectural discussions, and retrospectives - with real influence over technical direction and prioritization.

We intentionally leverage AI-powered tools and automation to enhance engineering productivity, improve code quality, strengthen observability, and accelerate delivery. We continuously evaluate how AI can enhance both our development workflows and the intelligent capabilities of the platforms we build.

We own our architecture end-to-end - from design to deployment to production operations. This is a team for engineers who want real technical ownership, real scale, and real-world impact.

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Job Purpose

As a Senior Software Engineer on the Data Ingestion team, you will design and build the high-throughput, resilient data pipelines that transform raw machine telemetry into trusted, structured, and analytics-ready data for the entire AgData platform.

This role goes beyond implementing ingestion logic. You will:

Architect and evolve scalable ingestion frameworks that process data from diverse equipment generations, file formats, and third-party platforms
Define data normalization, validation, and enrichment strategies that ensure consistency, accuracy, and long-term usability across downstream systems
Design distributed, fault-tolerant workflows that reliably handle seasonal surges when millions of acres of equipment transmit data simultaneously
Drive technical direction for cloud-native, event-driven ingestion services in Azure
Own ingestion services end-to-end - from design and deployment to observability, reprocessing strategies, and production operations
Establish scalable data contracts that serve APIs, analytics, research, and customer-facing applications
Mentor engineers while raising the bar for performance, reliability, and operational maturity

You will play a critical role in ensuring that every downstream experience - from real-time customer insights to advanced analytics and precision agriculture - is powered by complete, correct, and timely data.

Key Responsibilities

Architecture & Ingestion Framework Design

Design and implement scalable, event-driven ingestion services using C# and modern .NET
Define and evolve ingestion frameworks that support multiple data sources, file formats, and equipment generations
Establish data normalization, validation, and enrichment patterns that ensure consistency and long-term usability across downstream systems
Design efficient and scalable data modeling and storage strategies across relational, NoSQL, and object storage platforms
Define clear, versioned data contracts and schema evolution strategies that support backward compatibility and safe reprocessing

Distributed Processing & Cloud Ownership

Build and operate high-throughput ingestion pipelines in Microsoft Azure using cloud-native and messaging-based patterns
Implement resilient, fault-tolerant workflows that handle intermittent connectivity, out-of-order delivery, and duplicate data
Design and maintain CI/CD pipelines in GitLab for ingestion services and supporting infrastructure
Develop scalable reprocessing and remediation strategies for historical and backfill scenarios
Optimize infrastructure for performance, cost efficiency, and horizontal scalability

Performance, Data Quality & Observability

Ensure ingestion pipelines perform reliably under seasonal surges when large volumes of machine data arrive in short time windows
Implement end-to-end observability with structured logging, distributed tracing, and actionable metrics using tools such as Azure App Insights and Datadog
Define and monitor data quality indicators including completeness, accuracy, timeliness, and schema conformance
Participate in production support, incident response, and root-cause analysis for ingestion and data integrity issues
Continuously improve operational maturity, deployment safety, and recovery time

Engineering Excellence & Technical Leadership

Write clean, maintainable, and well-tested ingestion and transformation logic
Conduct thoughtful code reviews and mentor engineers on distributed systems, data modeling, and cloud-native patterns
Lead or influence technical initiatives that improve ingestion scalability, resiliency, and developer productivity
Contribute to platform-wide architectural standards for data contracts, schema evolution, and processing patterns
Improve engineering workflows, deployment safety, and delivery predictability across ingestion services

Experience Required

Experienced engineer with 5+ years of career experience, with Bachelor’s degree. 3+ years experience with Master’s degree.
Or equivalent combination of education and experience.
Demonstrated leadership abilities.
Capable of defining appropriate approaches and solutions.
Furthers knowledge of profession through continued education and/or seeking or providing mentorship.

Preferred Qualifications

Strong experience with C#, ASP.NET Core, and modern .NET
Experience building cloud-native applications (preferably in Microsoft Azure or AWS)
Experience with Git-based version control systems (GitLab, Azure DevOps, or similar)
Experience with relational databases (preferably SQL Server) and data modeling
Experience designing and consuming RESTful APIs
Experience with CI/CD pipelines and DevOps practices
Experience with unit testing frameworks (NUnit, xUnit, MSTest, or similar)
Experience working in an Agile team environment
Familiarity with agricultural technology, telemetry systems, or data-intensive platforms is a plus

Pay Transparency

The annual salary for this role is $105,750 - $141,000 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)

What We Offer

At CNH, our people are at the heart of everything we do. That’s why we offer a comprehensive benefits program designed to support your health, well-being, and long-term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered-both personally and professionally. We believe that when you’re given the tools to thrive, you can drive meaningful impact. At CNH, you’ll not only find the resources to succeed today-you’ll find the foundation to grow a career and build a future.

Click here to learn more about our benefits offerings! (US only)

US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal “Know Your Rights” poster here . CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here .

Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability . click apply for full job details

Senior Software Engineer (IBM ODM)

Mastercard

O'Fallon, MO, United States

Remote or hybrid

Senior

$115,000/hour - $184,000/hour

RECENTLY POSTED

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer (IBM ODM)Overview
Mastercard is seeking a Senior Software Engineer (Business Rule Author) to join the AI & Decisioning Platform Enablement (AI & DPE) team. In this role, you will be part of the Business Rules Engineering & Strategy team, focused on designing and delivering robust IBM Operational Decision Manager (ODM) rule solutions that power real-time, transaction-level decisioning, alerting, and notifications… Business Rules embed intelligence into the transactional cycle by leveraging scoring models, cohesive rule strategies and behavioral data, and when combined with our agile rule development & deployment capabilities, results in a competitive advantage for all stakeholders, in the entire payment ecosystem.
Role
• List Provide technical expertise for fraud prediction applications, which include mission critical, high volume transaction processing systems
• Analyze customer requests for Fraud Rule changes and provide feedback on capabilities and effectiveness of solutions
• Design effective rule strategies to identify and provide solutions for customers
• Develop and implement rule changes in an agile environment
• Validate rule changes against transactions data and ensure quality is enforcedAll About You
The ideal candidate for this position should:
• Have a bachelor’s degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent work experience.
• Have IBM Operational Decision Manager software experience
• Have current experience in delivering technical solutions and capabilities to meet business and product strategies, including a focused relationship with technical and business providers. Financial Services or Payments experience a plus.
• Direct experience with the development of custom software applications and services across a variety of technology selections and frameworks.
• Experience with software engineering concepts and methodologies, including agile lifecycles, testing automation, and behavior-driven development.
• Strong background in object-oriented architecture, design, and development. Direct Java experience preferred. Experience with multiple OO languages and SQL a plus.
• High-energy and detail-oriented, with the ability to function under pressure in an independent environment with a high degree of initiative and self-motivation to drive results; good at organizing and planning for several concurrent initiatives with conflicting needs.
• Interested in building solutions that help recognize and prevent payment fraud?
• Strong sense of curiosity, analytical problem solving and is passionate about the customer experience journey
• Flexible work style with the ability to quickly pivot to new priorities.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

O’Fallon, Missouri: $115,000 - $184,000 USD

Temporary Recruiter - 6 Month Contract

100% REMOTE

This Jobot Job is hosted by: Katherine Krull
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $160,000 - $180,000 per year

A bit about us:

Come join a growing direct-to-consumer e-commerce company in the lawn care industry, utilizing cutting-edge data analysis!

Job Title: Staff Software Engineer
Job Location: 100% REMOTE, but you must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
Pay Rate: $160k-$180k/yr. + Comprehensive Benefits
Must have:

5+ yrs of Frontend Development experience, building & engineering user interfaces
Expertise with React
Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members
Python, Django, and FastAPI
Prior startup experience

Preferred Qualifications:

Kubernetes, Argo, and Google Cloud Platform
Experience building full-stack applications from scratch
Infrastructure as code and DevOps experience

Why join us?

A mission-driven company focused on sustainability and innovation.
? A remote-first culture with flexibility and autonomy.
? A collaborative and supportive team environment.
? Competitive salary, equity, and benefits.

If you’re passionate about building great software and want to work on products that make a positive environmental impact, we’d love to hear from you

Job Details

We are seeking a talented and experienced Staff-level Full Stack Engineer with a strong emphasis on frontend development to help shape the future of our digital products. This is an opportunity to have a major impact on our technology stack, user experience, and engineering culture as we continue to scale. You will work closely with a cross-functional team of designers, product managers, and backend engineers to build high-quality, performant, and scalable web applications.

REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.

What You’ll Do
? Lead Development: Drive the development of new product features from concept to launch, ensuring high-quality implementation and user experience.
? Design & Architect: Build scalable, high-performance frontend architectures that seamlessly integrate with backend APIs.
? Technical Decision-Making: Evaluate trade-offs between different solutions and make informed technical choices that align with business and user needs.
? Mentorship: Support other engineers through code reviews, pair programming, and technical guidance.
? Collaboration: Work closely with Product, Design, and Backend teams to deliver cohesive and intuitive user experiences.
? Process Improvement: Contribute to enhancing development processes, best practices, data driven decisions, and engineering culture.

Must have:

5+ yrs of Frontend Development experience, building & engineering user interfaces
Expertise with React
Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members
Python, Django, and FastAPI

Preferred Qualifications:

Kubernetes, Argo, and Google Cloud Platform
Experience building full-stack applications from scratch
Infrastructure as code and DevOps experience

Interested in hearing more? Easy Apply now by clicking the “Apply” button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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Software Engineer Lead Consultant

Allstate

Columbia, South Carolina

+18

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

The Product Engineer, Lead Consultant contributes to the development of full‑stack applications using modern, AI-augmented engineering practices. This role works collaboratively within a XP agile product team to deliver high‑quality software, support technical decisions, and maintain a stable, scalable codebase. This position does not include supervisory responsibilities.

Key Responsibilities

Develop and enhance full‑stack features in alignment with established architecture and design guidelines.
Implement backend services using Java and Spring Boot, and frontend components using React.
Participate in daily standups, backlog refinement, iteration planning, and retrospectives.
Collaborate with product managers, designers, and engineering peers to clarify requirements and contribute technical input.
Contribute to CI/CD pipelines and support reliable deployment practices.
Write, review, and maintain high‑quality, testable code using TDD, pair programming, and code review practices.
Troubleshoot and resolve technical issues across the application stack.
Support documentation and knowledge‑sharing activities across the team.
Participate in discussions that influence technical direction and best practices within the team.
Leverage AI-assisted development tools to accelerate delivery, improve code quality, and enhance productivity.

Essential Skills

5+ years of professional software engineering experience (Preferred)
Proficiency in Java, Spring Boot with React and modern front‑end development practices
Strong SQL experience with MSSQL, ORACLE, or equivalent (queries, stored procedures, schema design)
Experience building and consuming RESTful APIs
Solid understanding of object‑oriented programming, design principles (SOLID), and Twelve-factor app
Understanding of secure coding practices (e.g., OWASP Top 10, input validation, authentication/authorization patterns) and the ability to critically evaluate AI-generated code for security and correctness
Proven use of paired programming and TDD
Version control using Git
Unit and integration testing (e.g., JUnit, Mockito, Jest, React Testing Library)
Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions)
Familiarity with Docker or containerized environments
Understanding of cloud environments (Kubernetes, AWS,)
Frontend fundamentals: HTML5, CSS3, JavaScript/TypeScript
Proficiency with AI-assisted development tools (e.g., GitHub Copilot, AI code assistants) for accelerating development workflows
Familiarity with event-driven architecture and messaging systems (e.g., Apache Kafka)
Ability to independently architect and deliver working features end-to-end with velocity

Desired Skills

ORM experience (e.g., Hibernate/JPA)
Experience with frontend state management tools
Basic performance monitoring and optimization
Experience working in a microservices or distributed system environment
Experience leveraging generative AI and LLMs to enhance development productivity, automate workflows, or build intelligent features
Secrets management (e.g., HashiCorp Vault) and database migration tooling (e.g., Flyway)
Serverless Functions (Azure Functions, AWS Lambda, or similar)
GitHub Actions (advanced workflows, automation, environment strategies)
GitOps principles or tooling (e.g., Argo CD, Flux)

Supervisory Responsibilities

No supervisory responsibilities. This role is an individual contributor (IC).

Skills

AWS Lambda, AWS Lambda, Back-End Development, Codebase, Code Reviews, Coding Practices, CSS3, Data Query, Design Principles, Docker (Software), Engineering Practices, Git, GitHub Actions, HashiCorp Vault, Hibernate ORM, HTML5, Java, Java Persistence API (JPA), JavaScript, JUnit Testing Framework, Kubernetes, Microservices Architecture, Microsoft SQL Server, Mockito, OWASP Top 10 {+ 14 more}

Compensation

Compensation offered for this role is 100,000.00 - 170,500.00 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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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.

Machine Learning Platform - Lead Engineer

Allstate

Illinois, IL, United States

+2

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

The Allstate’s Data & Analytics Technology organization is seeking a Machine Learning Platform Lead Engineer to architect, build, and scale the core platforms that power enterprise-wide machine learning solutions. In this role, you will provide deep technical leadership across ML infrastructure, MLOps automation, model deployment systems, and cloud-native engineering.

You will influence platform strategy, guide architectural decisions, and collaborate closely with data science, engineering, security, and product teams to enable reliable, scalable, and responsible ML adoption across the enterprise.

This role is ideal for a senior technologist who thrives in hands-on engineering, technical leadership, and building high-impact ML platform capabilities.

Key Responsibilities

Serve as the technical lead for ML platform architecture, guiding system design, scalability, performance, and reliability across platform components.
Architect and build core ML platform services, including training and compute infrastructure, feature stores, model registries, inference runtimes, and data pipelines.
Drive architectural decisions for distributed systems, cloud‑native frameworks, and automated MLOps workflows that support enterprise-scale machine learning.
Evaluate and integrate emerging ML platform technologies, tools, and best practices to continuously strengthen platform capabilities.
Design and implement robust MLOps pipelines for experiment tracking, data and model versioning, CI/CD for ML, automated retraining, and model governance.
Develop automated workflows that ensure reproducible model training, validation, deployment, and lifecycle management across multiple environments.
Implement monitoring and observability systems for model performance, data quality, drift detection, and inference reliability.
Build and optimize cloud-based ML infrastructure on Azure, AWS, or GCP using Kubernetes, containerization, and infrastructure‑as‑code.
Develop scalable batch and streaming data pipelines using modern data engineering tools and frameworks.
Embed security, compliance, responsible AI principles, and cost optimization best practices within ML platform architecture and operations.
Collaborate with data scientists to translate modeling needs into scalable, reusable, and self-service platform capabilities.
Work closely with security, compliance, and governance teams to ensure safe and compliant deployment of AI/ML solutions.
Partner with application engineering teams to accelerate adoption of ML services and enable consistent, high-quality production deployments.
Provide technical mentorship, set engineering standards, and contribute to documentation, best practices, and ongoing platform improvements.

Required Qualifications

Extensive experience in ML engineering, platform engineering, or large-scale distributed systems.
Deep hands-on expertise with MLOps tools, ML frameworks, model deployment techniques, and ML lifecycle automation.
Strong proficiency in Python and backend development for machine learning systems.
Experience with cloud platforms and ML services, including Azure ML Studio, AWS SageMaker, and/or Google Vertex AI.
Exposure to cloud storage/data such as Azure Fabric/OneLake, AWS S3, and Google Cloud Storage (GCS).
Experience with cloud-native scanning and security tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, GCP Security Command Center, or equivalent services.
Strong understanding of technologies such as Kubernetes, Docker, CI/CD, Terraform/Infrastructure-as-Code, etc.
Solid knowledge of system design, APIs, data pipelines, and scalable ML infrastructure patterns.
Proven ability to lead technical initiatives and influence cross‑team engineering decisions.
6+ years of related experience (preferred).

Experience

• 6 or more years of experience (Preferred)

Supervisory Responsibilities

• This job does not have supervisory duties.

Skills

Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Azure Machine Learning Studio, Cloud Computing, Cloud Engineering, Cloud Management, Cloud Software, Cloud Technology, DevOps, Google Cloud Platform (GCP), Google Cloud Storage, Google Cloud Vertex AI Search, Lead Engineering, Machine Learning (ML), Machine Learning Methods, Machine Learning Operations, Microservice Framework, Microsoft Azure, ML Frameworks, Python (Programming Language), Python Software Development, Terraform, Terraform (Software), Vertex AI

Compensation

Base compensation offered for this role is $110,000.00 - $160,000.00 annually and is based on experience and qualifications.

*** Total compensation for this role is comprised of several factors, including the base compensation outlined above, plus incentive pay (i.e., commission, bonus, etc.) as applicable for the role.