Senior Engineer - Java [Hybrid]

GEICO•Bethesda, MD

1d•$105,000 - $215,000•Hybrid

About The Position

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. Leverage the power of AI to build intelligent systems that transform how customers interact with insurance, how claims are processed, and how risks are assessed in real-time. 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. Our team thrives in delivering high-quality Java-based technology products and services in a hyper-growth environment where priorities shift quickly. 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. Exposure to learn AI technologies like SparkML, TensorFlow, and AI agents is highly valued.

Requirements

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 (architecture, design patterns, reliability, and scaling) 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
Experience of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
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 with Flutter for cross-platform mobile development is an advantage
Knowledge of ReactJS and modern frontend frameworks for web application development is beneficial
Knowledge of security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth
In-depth knowledge of CS data structures and algorithms
Advanced SQL scripting skills
Strong problem-solving ability
Ability to excel in a fast-paced, startup-like environment
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.

Nice To Haves

Experience with AI/ML model integration in production environments (preferred)
Additional coursework or certification in AI/ML, data engineering, or distributed systems (preferred)

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 (task management, source code, building, deployment, operations, real-time communication) to perform Java application design and PostgreSQL database design, implementation, and maintenance
Exposure to Flutter and ReactJS development is an advantage for cross-platform mobile and web application development
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