Kemper

Account Executive

• Influencing Agent Behavior: Implements and executes sales strategies to achieve financial and sales goals.
• Collaborates with internal partners to achieve intended outcomes.
• Utilizes the appropriate sales tools to influence behavior, and drive results.
• Agency Diagnostics and Cross Selling: Identifies opportunities to cross-sell Kemper Auto products and identified agencies needs aligned with Kemper Auto offerings.
• Agency Management and Support: Responsible for managing and developing a territory of independent agents.
• Provides an outstanding experience for agents through consultative selling.
• Develops and maintains strong relationships with agents at all levels within the agency.
• Drives new business growth, mix of business, retention, and profitability within assigned territory.
• Stays current on product and pricing trends to drive intended outcomes.
• Collaboration and Mentoring: Actively participates in regional strategy meetings to develop and lead execution of business goals.
• Assist in the implementation of new production launches.

Sales Executive

Backend Engineer

• Design, develop, and modernize enterprise applications using VB/.Net, ASP, and C#, Angular migrating legacy codebases to modern architectures.
• Work with PL/SQL and PostgreSQL for data access, transformation, and performance tuning.
• Architect and build secure, scalable applications within the AWS cloud environment.
• Develop reusable code libraries and frameworks to standardize components across teams.
• Build and maintain robust CI/CD pipelines and enforce code quality using SonarQube.
• Create and manage PowerShell scripts and other automation tools for deployment and environment management.
• Integrate emerging technologies including Python and GenAI to support automation, smart decision-making, and user experience enhancements.
• Collaborate with enterprise architects, product owners, QA, and DevOps teams to ensure high-performance, secure, and compliant solutions.
• Provide mentorship to junior developers and contribute to coding best practices and technical governance.

Senior Full Stack Developer – .NET, Cloud

Software Engineer

• Lead the design, development, and deployment of applications using Innoveo and other low-code/no-code platforms.
• Translate complex business requirements into scalable, maintainable, and secure application components.
• Develop and maintain reusable components, templates, and libraries to streamline Innoveo implementations.
• Build dashboards and reports using Power BI for actionable business insights.
• Leverage AWS cloud services (e.g., Lambda, S3, RDS, EC2, CloudFormation) for solution integration and deployment.
• Create and manage CI/CD pipelines to automate build, test, and release cycles.
• Apply SonarQube for code quality and maintainability across platforms.
• Develop and manage automation scripts for system monitoring, deployment, and configuration.
• Incorporate Python scripting and GenAI capabilities into workflows to enhance automation and user experience.
• Collaborate with cross-functional teams including business analysts, QA, DevOps, and solution architects.
• Ensure alignment with enterprise architecture, security, and regulatory standards.

Senior Developer

• Lead end-to-end design, development, and deployment of solutions built using IBM BAW.
• Collaborate with cross-functional teams to define solution architecture and technical roadmap.
• Develop robust, scalable backend services primarily using Java.
• Leverage AWS cloud services (Lambda, S3, ECS, DynamoDB, etc.) to build secure and cloud-native applications.
• Provide technical leadership on automation and workflow optimization initiatives.
• Participate in the modernization of legacy systems using modern tech stacks and architectural best practices.
• Explore and integrate GenAI capabilities to drive intelligent process automation and data-driven decision-making.
• Write clean, maintainable, and well-documented code; conduct code reviews and mentor junior developers.
• Stay up-to-date with industry trends and recommend new tools, frameworks, or approaches.

Senior Developer – BAW Specialist

• Design, develop, and maintain full-stack applications using Java (Spring Boot, Spring Batch) and modern JavaScript frameworks (React).
• Lead and implement solutions using a wide spectrum of Java technologies and development frameworks.
• Create reusable libraries, frameworks, and templates to drive standardization and code reusability.
• Collaborate with front-end and back-end teams to build scalable, secure, and responsive web applications.
• Integrate and manage data pipelines using Informatica for ETL and transformation tasks.
• Apply Python and GenAI where applicable to drive automation and intelligent feature sets.
• Build and maintain CI/CD pipelines for seamless deployment and automated testing.
• Ensure code quality and maintainability using tools like SonarQube and static code analysis practices.
• Develop and manage automation scripts using PowerShell and other scripting tools for deployment and environment management.
• Deploy and operate solutions on AWS cloud infrastructure including EC2, Lambda, RDS, S3, ECS, etc.
• Participate in solution architecture, peer reviews, and technical strategy discussions.
• Mentor junior developers and foster a collaborative engineering culture focused on continuous improvement and innovation.

Senior Full Stack Developer – Java/Cloud

Manager

• Manages a district agency channel responsible for revenue generation and new business achievement
• Hires and develops sales managers to engage a network of agents
• Achieves financial and product targets through planning and execution
• Recruits and supervises sales managers and agents/agencies
• Implements sales strategies based on agency needs and performance

District Manager

Machine Learning Engineer

• Work unsupervised either individually or as part of a team to build, deploy, and support real-time and batch analytics/data science applications
• Work unsupervised either individually or as part of a team to build, deploy, and support ML/AI tools for internal users
• Contribute to the improvement of internal analytics capabilities, processes and infrastructure
• Collaborate with the business, IT, Model Risk Management, and Enterprise Data Office to responsibly and efficiently support analytics and data science