Senior Staff Software Engineer - Search PaaS

A Senior Staff Software Engineer works with Geico engineering teams to innovate and build new systems, improve, and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will help lead the strategy and execution of a technical roadmap to deliver on a ‘best in-class' Search platform. The ideal candidate has technical understanding in distributed software systems, open-source software, running large-scale systems and domain knowledge in search and data engine technologies like relational and non-relational data engines.

 
  
Position Responsibilities  
  
As a Senior Staff Engineer, you will:  

• 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

• Develop and execute technical software development strategy

• Accountable for the quality, usability, and performance of the solutions

• Write and test product or system development code.

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

• Utilize Java, Go, Python along with domain specific languages such as SQL/NoSQL and search database technologies, Container Orchestration services including Docker and Kubernetes 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

• Consistently share best practices and improve processes within and across teams

• Analyze cost and forecast, incorporating them into business plans

• Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning

• Experience operating at scale with data search engines like OpenSearch, Solr, etc.  

Qualifications  

• Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap  

• Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap

• Experience partnering with engineering teams and transferring research to production

• Fluency in search and relational/nonrelation data engines

• Deep hands-on experience in building complex PaaS systems in large scale business focused systems

• Fluency in coding, debugging and tooling using the Java language

• Experience with Golang

• Strong knowledge of CS data structures and algorithms

• Ability to excel in a fast-paced, startup-like environment

• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

• Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems

• Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework

• Experience in existing Operational tools available on platforms such as Azure, AWS or GCP

• Experience with application monitoring tools and performance assessments

• Experience with OpenSearch or Sol

Experience  

• Minimum 10 years of experience developing backend applications

• 8+ years of experience with architecture and design

• Proficiency with coding, debugging and tooling using Java language and experience with Go language

• Minimum 6 years of experience developing large-scale applications or distributed systems

• Strong data structures and algorithms knowledge

• Minimum 1