Staff Engineer [Hybrid]

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. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

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. 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.

Position Description

Our Staff Engineer is a senior technical leader working across the organization to drive innovative solutions that 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 deep Java expertise, advanced distributed systems knowledge, and proven experience with modern backend technologies including Apache Kafka, Apache Spark, microservices, Kubernetes, and PostgreSQL optimization. Strong experience with AI technologies like SparkML, TensorFlow, and AI agents is highly valued as you'll help shape our technical strategy and AI integration roadmap.

Position Responsibilities

As a Staff Engineer, you will:

• Lead the design, architecture, and implementation of complex, scalable, resilient distributed systems· Drive technical strategy and product definition, leveraging your expertise to influence organizational technical direction

• Lead cross-functional initiatives throughout the entire software lifecycle and mentor engineering teams· Lead and facilitate design sessions, architecture reviews, and code reviews to elevate engineering excellence across the organization

• Define technical standards, create enterprise-level reusable application and database components/patterns from both business and technology perspectives· Master programming languages including Java, Python, JavaScript, TypeScript, and Container Orchestration services including Docker and Kubernetes, and Azure tools and services across the software development life cycle to architect advanced Java applications and high-performance PostgreSQL solutions

• Drive technical decisions for Flutter and ReactJS development initiatives for cross-platform mobile and web application development

• Lead ML technology initiatives including TensorFlow, PyTorch, and Scikit-learn to architect machine learning model integration into production Java applications

• Design and architect Agentic AI systems that automate business processes and enhance customer experiences· Lead the implementation of enterprise-scale data pipelines using Apache Kafka and Spark for ML model inference and training

• Mentor senior and junior engineers, drive knowledge sharing initiatives, and establish technical best practices· Drive continuous improvement in engineering processes and technical excellence across multiple teams

Qualifications

• Expert-level fluency and specialization with Java and at least two other modern languages such as Java, Python, C++or C# including advanced object-oriented design

• Proven expertise in micro-services architecture, extensible REST APIs, and enterprise-scale distributed systems

• Advanced understanding of DevOps Concepts, Cloud Architecture, and infrastructure automation

• Extensive experience leading the architecture and design (architecture, design patterns, reliability, and scaling) of complex enterprise systems

• Advanced PostgreSQL expertise including database design, implementation, administration, and performance optimization

• Proven experience with application monitoring tools, performance assessments, and system optimization

• Strong experience with Kubernetes, continuous delivery, and infrastructure as code· Advanced knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn and expertise in machine learning model integration

• Experience with Agentic AI systems and autonomous decision-making frameworks

• Knowledge of Flutter and ReactJS initiatives for cross-platform mobile and enterprise web application development

• Deep knowledge of security protocols and products: Active Directory, Windows Authentication, SAML, OAuth, and enterprise security practices

• Expert-level knowledge of CS data structures, algorithms, and system design principles· Advanced SQL scripting skills and database optimization expertise

• Exceptional problem-solving ability and technical leadership skills

• Proven ability to excel and lead in fast-paced, high-growth environments

Experience

• 6+ years of professional software development experience with Java frameworks and enterprise distributed systems

• 4+ years of experience leading system architecture, design patterns, and scalable backend development

• 4+ years of experience with AWS, GCP, Azure, or another cloud service, with proven AI/ML services expertise

• 3+ years of experience with big data technologies, real-time processing, and machine learning frameworks

• 2+ years of experience leading Apache Kafka, Spark, or similar distributed data processing technology initiatives· Proven experience with AI/ML model integration in production environments and leading ML initiatives

• Experience mentoring engineering teams and driving technical excellence

Education

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

• Advanced coursework or certification in AI/ML, data engineering, or distributed systems (preferred)· Technical leadership certification or advanced degree (preferred)

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Annual Salary

$115,000.00 - $230,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.

We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

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. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.