Senior Staff Engineer, Software Engineering; HYBRID

Position: Senior Staff Engineer, Software Engineering (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.

Senior Staff Engineer, Software Engineering

Position Description

We are seeking a highly accomplished Senior Staff Engineer to join our

engineering organization and drive technical excellence across our platform.

This is a pivotal role for a seasoned engineer who combines deep hands-on expertise with the ability to influence technical direction at the organizational level.

As a Senior Staff Engineer, you will be architecting scalable infrastructure,

mentoring engineering teams, and applying cutting-edge AI solutions to solve

complex, business-critical problems. You will work at the intersection of

infrastructure, data systems, and applied artificial intelligence, ensuring our

technology stack is robust, efficient, and positioned for future growth.

Position Responsibilities

As a Senior Staff Engineer, you will:

* Define and drive the technical vision for infrastructure and AI-powered systems across the organization

* Design, architect, and implement highly scalable, fault-tolerant distributed systems

* Lead technical decision-making on critical projects, balancing short-term needs with long-term sustainability

* Establish and champion engineering best practices, design patterns, and coding standards

* Architect and optimize compute infrastructure for performance, reliability, and cost efficiency

* Design and implement database solutions (relational and No

SQL) that scale to meet business demands

* Drive cloud infrastructure strategy, including containerization, orchestration, and serverless architectures

* Ensure system reliability, observability, and operational excellence across all platform components

* Identify and prioritize opportunities to apply AI/ML to solve high-impact business problems

* Stay current with emerging AI technologies and evaluate their applicability to business challenges

* Mentor and grow senior engineers, fostering a culture of technical excellence and continuous learning

* Conduct design reviews and provide constructive feedback on technical proposals

* Collaborate cross-functionally with product, design, and business stakeholders

* Lead complex, ambiguous projects from conception through delivery

* Drive pragmatic trade-offs between technical debt, velocity, and quality

* Contribute hands-on to critical codebases when needed

* Champion operational excellence and incident management best practices

Qualifications

* Deep expertise in infrastructure systems, including compute platforms (Kubernetes, Docker, cloud services), networking, and storage

* Strong database experience across relational databases (Postgre

SQL, MySQL) and No

SQL solutions (Mongo

DB, Cassandra, Redis, Dynamo

DB)

* Demonstrated experience applying AI to solve real-world problems in production environments

* Expert-level proficiency in at least two programming languages (e.g., Python, Java, Go, Rust)

* Experience designing and building distributed systems at scale

* Strong understanding of cloud platforms (Azure OR AWS) and infrastructure-as-code practices

* Hands-on experience with CI/CD pipelines, build systems, and deployment automation (e.g., Git Hub Actions, Jenkins, Azure Dev Ops, ArgoCD)

* Background in building real-time data processing systems (Kafka, Flink, Spark)

* Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences

* Experience working in a platform engineering team, building internal developer platforms or shared infrastructure services

Experience

* 10+ years of professional software development experience, with a proven track record of increasing technical scope and impact

* 6+ years of experience in open-source frameworks

* 5+ years of development in a large-scale, mission-critical environment

* Hands-on work experience coaching and mentor personnel in a technical environment

* 5+ years of experience with one of the public clouds - AWS, GCP, Azure, or another cloud service

* 5+ years of experience working in a platform engineering team, building internal developer platforms or shared infrastructure services

Education

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

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Annual Salary

$ - $

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…