Engineer II - Object Storage PaaS (REMOTE)

Position Description 

Our Engineer II works with our senior engineers to innovate and build new systems, improve, and enhance existing systems as well as identify new opportunities to apply your knowledge to solve critical problems. You will assist in the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has knowledge in the Open-Source Object Storage platform domain.  

This team’s mission is strengthening GEICO's storage platform ecosystem by implementing open source, cloud native and cloud agnostic Object Storage for Datalakes/AI/ML workloads. We are looking for building a robust, automated, and scalable storage infrastructure to provide reliable and efficient storage services, empowering GEICO to deliver exceptional customer experiences and cheaper insurance using cutting edge technology stack.

Position Responsibilities 

As an Engineer II, you will: 

• 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 Platform Engineering domain 
• Own accountability for the quality, usability & performance of the solutions 
• Participate in system design and storage and data pipeline and architectures, scale and performance, tuning, with familiarity of Docker and Kubernetes 
• Participate in sharing best practices and improve processes within and across teams 
• Take on-call and operational support 

Qualifications: 

• Knowledge of at least two OOP languages Go (preferred), C++, Java, Python, etc.
• Familiarity with two of the following languages: C, PHP, Perl, Ruby, JavaScript, shell script, SQL, etc.
• Understand open-source object storage & databases like MySQL, PostgreSQL, etc., familiar with CEPH, MinIO, No-SQL databases like Cassandra, MongoDB, Elasticsearch 
• Experience partnering with engineering teams and transferring research to production 
• Experience with continuous delivery (CI/CD) and infrastructure as code 
• In-depth knowledge of CS data structures and algorithms 
• Experience solving analytical problems with quantitative approaches 
• Ability to excel in a fast-paced, startup-like environment 
• Willing to work on both fast development and operation environment  
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, test automation and related tools, operations, real-time communication) 
• Experience on open-source database platforms with emphasis on building enterprise scale RDMS and NoSQL platforms, a plus
• Knowledge in big data and streaming data and storage pipeline architecture (Lambda/Kappa) and K8 cluster, a plus
• Experience in open-source tools like GIT/Jenkin/CircleCI, and knowledge in Terraform/Ansible, a big plus 

Experience: 

• 2+ years of professional (non academic) experience

Education 

• Bachelor’s degree in …