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Staff Engineer - Platform
Remote / Online - Candidates ideally in
Chevy Chase, Montgomery County, Maryland, 20815, USA
Listed on 2025-12-01
Chevy Chase, Montgomery County, Maryland, 20815, USA
Listing for:
GEICO
Full Time, Remote/Work from Home
position Listed on 2025-12-01
Job specializations:
-
IT/Tech
Data Engineer, Systems Engineer
Job Description & How to Apply Below
GEICO .
For more information, please .## Staff Engineer - Payment Platform( Hybrid Role)
** 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.
** At GEICO, we’re redefining insurance through innovative technology, delivering trusted, seamless experiences to millions of customers. Our payment platform is at the core of this mission, powering secure, scalable, and efficient transactions.
As a Staff Engineer, you’ll lead the design and development of our next-generation payment platform, leveraging data expertise to drive fraud detection, optimize transaction flows, and enhance real-time analytics. You’ll collaborate with cross-functional teams, champion engineering excellence, and foster a culture of collaboration and innovation.
* Exceptional leadership and communication to drive payment-focused projects and engage with clients, executives, and cross-functional teams.
* Analytical mindset with expertise in quantitative data analysis for payment optimization and fraud mitigation.
* Deep knowledge of in computer architectures, algorithms, and developer tooling across the SDLC.
* Ability to excel in a fast-paced environment, balancing rapid development with operational stability for payment systems.
With our GEICO Pledge—Great Company, Great Culture, Great Rewards, Great Careers—you’ll thrive in an environment where your contributions shape the future of insurance payments.
What You’ll Do
* Lead Payment Platform
Innovation: Architect and build scalable, secure payment systems, integrating real-time fraud detection, tokenization, and batch processing capabilities.
* Harness Data for Impact:
Design data pipelines and analytics frameworks to monitor transaction health, detect fraud patterns, and optimize payment performance.
* Drive Strategy:
Partner with product managers, data scientists, and engineers to define and execute a technical roadmap for payment modernization and analytics.
* Ensure Reliability:
Own the performance, security, and usability of payment platforms, ensuring 99.9% uptime and compliance with industry standards.
* Mentor & Inspire:
Coach engineers, share best practices, and influence stakeholders to elevate payment and data engineering expertise.
* Support Operations:
Provide on-call support for payment systems, troubleshoot issues, and champion CI/CD and Infrastructure-as-Code practices.
What We’re Looking For Technical Expertise
* Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design
* Fluency in Dev Ops Concepts, Cloud Architecture, and Azure Dev Ops Operational Framework
* 6+ years of experience designing complex systems, data pipelines, and architectures, with expertise in scaling, performance tuning, and containerization (Docker, Kubernetes)
* Deep expertise in SQL & open-source databases (MySQL, Postgre
SQL) and No
SQL databases (Mongo
DB, Cassandra, Elasticsearch, etc.) for transaction and analytics use cases
Nice to have:
* Cloud & Automation: 3+ years working with Azure, AWS, or hybrid data centers.
* Dev Ops & Analytics:
Hands-on experience with CI/CD pipelines (Git, Jenkins, Circle
CI) and monitoring tools like Grafana and Open Telemetry for transaction observability.
* Big Data Expertise:
Familiarity with latest data architecture, streaming data pipelines (e.g., Apache Spark, Kafka), and AI/ML frameworks for fraud detection and analytics.
Experience
* 10+ years in software development, platform architecture, or infrastructure management, ideally with payment or fintech systems.
* 4+ years working with open-source frameworks.
* 3+ years in system architecture and design, preferably for payment or data platforms.
Ed…
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