Lead Software Engineer/Software Engineer - Marketing

State Farm•Dunwoody, GA

3d•Hybrid

About The Position

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. We're moving with urgency to become a Next Gen Good Neighbor, with technology that strengthens human connections and enhances the customer experience. As an employee, you'll spend less time navigating systems and more time applying judgment, empathy, and expertise in the moments that matter most. Are you interested in building new marketing capabilities that help deliver more targeted, relevant, and impactful communications to customers? The Campaign Operations team in the Marketing Technology Suite is seeking a Software Engineer to help build and evolve the platforms that enable, orchestrate, and fulfill marketing campaigns. As an engineer on our team, you will design, develop, test, deploy, and support cloud-based applications, event-driven services, and data pipelines that power critical marketing operations. You will collaborate with engineers, analysts, architects, and business partners to understand problems, shape practical solutions, and improve the speed, quality, reliability, and cost efficiency of marketing operations. HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment. Hybrid work arrangement for Enterprise Technology is defined as residing with a 180-mile radius of the Hubs and Corporate. HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity. Grow Your Skills, Grow Your Potential

Requirements

Software development experience using Python and/or Java.
Experience designing, developing, testing, deploying, or supporting enterprise applications and data-processing solutions.
Experience building cloud-native and event-driven applications using AWS services such as Lambda, S3, SQS, SNS, EventBridge, DynamoDB, SES, or AWS Glue.
Experience with container platforms such as Red Hat OpenShift Service on AWS, OpenShift, or Kubernetes.
Experience with automated testing, code quality, version control, security, and CI/CD practices.
Strong analytical, problem-solving, communication, and collaboration skills.
Experience working in Agile and DevOps delivery environments.
Experience leading the design and delivery of complex software solutions.
Advanced experience with AWS and event-driven architecture.
Ability to translate ambiguous problems into practical technical solutions.
Experience providing technical direction through design and code reviews.
Demonstrated ability to mentor engineers and improve team practices.
Ability to communicate architecture decisions, risks, and trade-offs across technical and business teams.

Nice To Haves

Experience building ETL, batch-processing, or data-processing workflows is beneficial.
Experience with GitLab and GitLab CI/CD is beneficial.
Familiarity with AI-assisted development tools such as GitHub Copilot or Codex is beneficial.

Responsibilities

Design, develop, test, deploy, and support enterprise applications and data-processing solutions for marketing campaign platforms.
Build cloud-native applications, event-driven services, and ETL or batch-processing workflows using AWS technologies.
Develop software using Python and/or Java.
Develop and support containerized applications on Red Hat OpenShift Service on AWS or similar platforms.
Apply automated testing, code quality, security, and CI/CD practices.
Collaborate with engineers, analysts, architects, and business partners to translate business needs into maintainable technical solutions.
Investigate technical issues and implement durable solutions.
Participate in design reviews, code reviews, deployments, and production-readiness activities.
Communicate progress, risks, dependencies, and technical trade-offs.
At the Lead level, provide technical direction, mentor engineers, and help improve engineering practices.