GEICO

Backend Engineer

• Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise
• Collaborate across team members and across the tech organization to solve our toughest problems
• Deliver High-Quality services and software for a variety of domains
• Accountable for the quality, usability, and performance of the solutions
• Utilize your expertise in designing and developing API’s and microservices using graphQL , gRPC , Java, Python, Kafka, with a deep understanding of API first design
• Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and NoSQL databases.
• Deploy applications in a hybrid cloud environment utilizing Kubernetes, various data stores, and a variety of cloud native tools and services
• Work on End-to-End solutions that may span front-end through API tiers and Back-End domain services.
• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.
• Influence and educate executives

Staff Engineer – Java, Microservices

Full-stack Engineer

• Scope, design, and build scalable, resilient distributed systems
• 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
• Utilize programming languages like Java, Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
• Consistently share best practices and improve processes within and across teams
• Build product definition and leverage your technical skills to drive towards the right solution

Software Engineer II

• Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
• Develop and execute technical software development strategy for the IaaS domain, while optimizing for performance and efficiency
• Own accountability for the quality, usability, and performance of the solutions
• Consistently share best practices and improve processes within and across teams
• Take on-call and operational support

Senior Engineer – IaaS, Cryptography, Data Protection

Machine Learning Engineer

• Design and implement machine learning models & components that solve real-world business problems in close collaboration with the Product, Business units & Data Science teams.
• Write production-grade code for ML models as services and APIs
• Collaborate with cross-functional teams, including data engineering and software development, to integrate machine learning models into production systems.
• Build and maintain scalable data processing workflows and model deployment infrastructure.
• Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.
• Keep up with the latest ML tooling and communities
• Lead the design and implementation of complex machine learning models across various business units.
• Architect and develop scalable infrastructure for automated model training, hyperparameter tuning, and deployment.
• Mentor and guide junior engineers, collaborating closely with machine learning engineers to optimize and refine models.
• Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance.

Senior Machine Learning Engineer – Document Intelligence

• Use document management tools to create and maintain GEICO’s enterprise document library
• Coordinate and collaborate with product managers, engineering team members and product team to solve complex problems
• Monitor data platform performance, analyze metrics, and iterate on features to optimize user experience and business outcomes
• Manage business initiatives across functional teams through the entire product lifecycle
• Always push for engineering excellence; Consistently share best practices and improve processes within and across teams
• Provide ‘on-call’ support for Production systems, servers, and applications

Senior Engineer – OpenText, ECM

• Build and manage a team of engineers focused on delivering enterprise-wide products
• Work with senior leadership on project dependencies and delivery timelines
• Manage a team in cryptography and data protection
• Own end-to-end delivery and strategy execution
• Cultivate a motivating team culture and support performance evaluation

Manager, Staff Engineering – Cryptography

General Counsel

• Provide legal advice related to business units
• Draft and review policy documents
• Coordinate support from other legal department parts
• Use legal knowledge to identify business risks and opportunities

Counsel, Specialty Lines

• Support business lines in developing new products and refining their work
• Provide legal advice related to business unit objectives
• Draft and review policy documents
• Coordinate support for assigned business units from other parts of the legal department
• Identify implications of business choices related to legal matters such as compliance and consumer-protection laws.

Senior Counsel, Insurance Products

• Manage strategy for high-profile litigation matters
• Collaborate with and manage outside counsel
• Advise internal stakeholders on litigation strategy
• Coordinate internal discovery activities
• Manage legal risks and resolve disputes
• Facilitate complex matter escalations to stakeholders
• Conduct research for relevant advice
• Monitor legislation, regulations, and trends in insurance

Claim Litigation Counsel

Product Manager

• Define and own the product strategy for Next Best Action use cases across the Service Experience
• Translate complex analytical, decisioning capabilities into intuitive, scalable product features that deliver business impact
• Coordinate plans across the Service product team for testing/uptake into the Service Experience
• Define measurement frameworks to quantify the performance and value of NBA initiatives/features
• Partner with enterprise data, AI/ML platform, and analytics teams to improve data accessibility, quality, and readiness for the Service Experience product team
• Lead by example ensuring product decisions are grounded in data, measurable outcomes, and customer value

Principal Product Manager – Service Intelligence Products

• Provide legal advice to the claims organization on insurance coverage issues, bad faith and extra-contractual allegations against the Companies.
• Perform factual and legal research and analysis.
• Review documents at the request of Legal Department management.
• Develop and conduct in-house presentations on research projects.

Insurance Coverage Counsel

Paralegal

• Maintain litigation files from inception to resolution
• Conduct legal research and identify relevant laws, regulations, statutes, and court options
• Review, organize, and analyze evidence
• Maintain and monitor calendars for key deadlines and court dates
• Identify and collect documents for production requests
• Perform research and analysis of courts and jurisdictions, including trends
• Review deposition transcripts and draft summaries
• Prepare for mediation by creating event timelines, compiling supporting documents, and preparing file summaries
• Organize and label documents and exhibits for use in legal proceedings, hearings, and trials

Paralegal, Enterprise Litigation & Investigations

• Work cross-functionally to guide complex products from conception to launch by connecting the product vision and specific solutions needed to solve business and customer problems.
• Partner with engineering, operations, sales, design and other product teams to reimagine and build GEICO’s Digital Experience.
• Drive end-to-end experience across mobile app/web/desktop platforms, across all business lines that are platform agnostic.
• Be part of a growing Product Organization working in cross-functional teams to implement cutting edge technologies, foster a culture of innovation, and ensure seamless integration of digital solutions.

Principal Product Manager, Conversational Chatbot

Analyst

• Manage the administration of base salary compensation, job evaluations, market pricing, and salary structure.
• Support the administration of year-end compensation.
• Develop and present summary reports of job analysis and compensation analysis information.
• Prepare survey submissions and gather data from market-based compensation surveys; use spreadsheet and data analysis techniques to assess results and market trends.
• Support Compensation Business Partner for corporate functions to serve the business for job evaluations, external candidate offers, salary structure reviews, and other business needs.
• Act as project planner for scheduled and ad hoc initiatives such as salary schedule reviews.

Senior Compensation Analyst

• Lead technical execution at the team level, overseeing data modeling architecture and design to ensure schemas are aligned with Business, AI, and Product analytical requirements.
• Scope, design, and build scalable, resilient distributed systems.
• Develop data pipelines and transform data.
• Leverage your passion for data exploration to produce high quality reports with tools such as Power BI, Apache Superset, and React, empowering outstanding business decisions.
• Apply your technical expertise to shape product definitions and drive towards optimal solutions.
• Lead design sessions and code reviews with peers to elevate the quality of engineering across the organization.
• Spearhead new feature use and innovate within existing tooling.
• Engage in cross-functional collaboration throughout the entire development lifecycle.
• Manage data pipelines, ensuring consistent data availability.
• Mentor other engineers.
• Consistently share best practices and improve processes within and across teams.