GEICO
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most.
We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here.
Position Summary
Join a team that's rewriting the rules of insurance technology through AI-driven innovation. You'll be at the forefront of our digital transformation, working with cutting-edge artificial intelligence, machine learning, and modern technologies while helping establish GEICO as a leader in insurance innovation. Position Description
Our Software Engineer is a key member of the engineering staff working across the organization to provide friction-less experiences to our customers while maintaining the highest standards of protection and availability. The ideal candidate has solid Java development skills, understanding of distributed systems concepts, and experience or strong interest in learning modern backend technologies including Apache Kafka, Apache Spark, microservices, Kubernetes, and PostgreSQL optimization. Position Responsibilities
Scope, design, and build scalable, resilient distributed systems with guidance from senior team members Build product definition and leverage your technical skills to drive towards the right solution Engage in cross-functional collaboration throughout the entire software lifecycle Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization Define, create, and support reusable application and database components/patterns from a business and technology perspective Utilize programming languages like Java, Python, JavaScript, TypeScript, Python, and Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services across the software development life cycle Work with ML technologies including TensorFlow, PyTorch, and Scikit-learn to integrate machine learning models into production Java applications Develop and maintain Agentic AI systems that automate business processes and enhance customer experiences Implement data pipelines using Apache Kafka and Spark for ML model inference and training Mentor junior engineers and contribute to knowledge sharing initiatives Qualifications
Fluency and specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design Proven understanding of micro-services architecture and extensible REST APIs Advanced understanding of DevOps Concepts and Cloud Architecture Experience building the architecture and design of new and current systems Experience with PostgreSQL database design, implementation, and administration Experience with application monitoring tools and performance assessments Experience of Kubernetes, continuous delivery, and infrastructure as code Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn and understanding of machine learning model integration Exposure to Agentic AI systems and autonomous decision-making frameworks is a plus Experience
4+ years of professional software development experience within Java frameworks with distributed systems 3+ years of experience with system architecture, design patterns, and scalable backend development 3+ years of experience with AWS, GCP, Azure, or another cloud service, preferably with AI/ML services 2+ years of experience with big data technologies, real-time processing, or machine learning frameworks 1+ years of experience with Apache Kafka, Spark, or similar distributed data processing technologies Education
Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience Additional coursework or certification in AI/ML, data engineering, or distributed systems Annual Salary
$100,000.00 - $215,000.00 The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law.
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Join a team that's rewriting the rules of insurance technology through AI-driven innovation. You'll be at the forefront of our digital transformation, working with cutting-edge artificial intelligence, machine learning, and modern technologies while helping establish GEICO as a leader in insurance innovation. Position Description
Our Software Engineer is a key member of the engineering staff working across the organization to provide friction-less experiences to our customers while maintaining the highest standards of protection and availability. The ideal candidate has solid Java development skills, understanding of distributed systems concepts, and experience or strong interest in learning modern backend technologies including Apache Kafka, Apache Spark, microservices, Kubernetes, and PostgreSQL optimization. Position Responsibilities
Scope, design, and build scalable, resilient distributed systems with guidance from senior team members Build product definition and leverage your technical skills to drive towards the right solution Engage in cross-functional collaboration throughout the entire software lifecycle Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization Define, create, and support reusable application and database components/patterns from a business and technology perspective Utilize programming languages like Java, Python, JavaScript, TypeScript, Python, and Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services across the software development life cycle Work with ML technologies including TensorFlow, PyTorch, and Scikit-learn to integrate machine learning models into production Java applications Develop and maintain Agentic AI systems that automate business processes and enhance customer experiences Implement data pipelines using Apache Kafka and Spark for ML model inference and training Mentor junior engineers and contribute to knowledge sharing initiatives Qualifications
Fluency and specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design Proven understanding of micro-services architecture and extensible REST APIs Advanced understanding of DevOps Concepts and Cloud Architecture Experience building the architecture and design of new and current systems Experience with PostgreSQL database design, implementation, and administration Experience with application monitoring tools and performance assessments Experience of Kubernetes, continuous delivery, and infrastructure as code Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn and understanding of machine learning model integration Exposure to Agentic AI systems and autonomous decision-making frameworks is a plus Experience
4+ years of professional software development experience within Java frameworks with distributed systems 3+ years of experience with system architecture, design patterns, and scalable backend development 3+ years of experience with AWS, GCP, Azure, or another cloud service, preferably with AI/ML services 2+ years of experience with big data technologies, real-time processing, or machine learning frameworks 1+ years of experience with Apache Kafka, Spark, or similar distributed data processing technologies Education
Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience Additional coursework or certification in AI/ML, data engineering, or distributed systems Annual Salary
$100,000.00 - $215,000.00 The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law.
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