Senior Java Engineer: Build AI-Driven Distributed Systems

GEICO; Palo Alto (CA); On-site; USD 105,000 - 215,000; Full time

Job summary

GEICO in the United States is seeking a Software Engineer to join our AI-driven insurance technology team. You will work across Java-based systems, distributed architectures, and modern backend technologies to enhance customer experiences and claims processing.

The role emphasizes scalable design, collaboration with cross-functional teams, and applying ML tools like TensorFlow and SparkML to production Java applications, with opportunities to mentor peers and shape our technology strategy.

Qualifications

• Proficient in at least two modern languages with OO design (e.g., Java, Python, C++).
• Strong understanding of micro-services and REST APIs.
• Experience with PostgreSQL design and administration.
• Familiarity with cloud platforms and DevOps concepts.

Responsibilities

• Scope, design, and build scalable distributed systems.
• Drive towards correct solutions with technical leadership.
• Collaborate across the software lifecycle with teams.
• Participate in design reviews to raise engineering quality.
• Develop reusable components for apps and databases.
• Utilize Java, Python, JavaScript/TypeScript, Docker, Kubernetes, Azure tools.
• Exposure to ML tools and AI integration in production.
• Mentor junior engineers and share knowledge.

Skills

Java

Python

C++

C#

JavaScript

Education

Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience.

Tools

Kubernetes

Docker

PostgreSQL

Apache Kafka

Spark

TensorFlow

PyTorch

ReactJS

Flutter

Job description

GEICO in the United States is seeking a Software Engineer to join our AI-driven insurance technology team. You will work across Java-based systems, distributed architectures, and modern backend technologies to enhance customer experiences and claims processing.

The role emphasizes scalable design, collaboration with cross-functional teams, and applying ML tools like TensorFlow and SparkML to production Java applications, with opportunities to mentor peers and shape our technology strategy.