Senior Software Engineer - IaaS Cluster Management (REMOTE)

Position Summary

GEICO is seeking an experienced senior Engineer with a passion for building high performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

Position Description

Our Senior Engineer works with our Distinguished Engineer and Principal 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. The Cluster Management team is dedicated to realizing a secure, reliable, scalable, and highly efficient next-generation container cluster management and orchestration platform on Kubernetes. We seek an ideal candidate with strong technical expertise in software engineering, containers, and upstream Kubernetes, along with proficiency in the OpenStack IaaS platform.

Position Responsibilities

As a Senior Engineer, you will:

Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
Execute a strategic software development plan for IaaS, encompassing containers, cluster management, Kubernetes, and OpenStack.
Prioritize security, optimization for performance and efficiency across the entire development lifecycle.
Own accountability for the quality, usability, and performance of the solutions
Consistently share best practices and improve processes within and across teams
Fulfill on-call responsibilities and offer operational support.

Qualifications

Strong software engineering and system architecture background.
Experience with REST APIs, Microservices, and containers.
Proficient in Kubernetes (K8s) with hands-on experience in cluster provisioning and management.
Practical knowledge and experience in Linux operating systems, internals, and command-line utilities.
Comprehensive understanding of containerization technologies like Docker, Podman, and Rancher.
Familiarity with technologies such as ArgoCD, KubeVirt, and Cluster API (CAPI).
Expertise in automation tools (e.g., Ansible, Terraform) for streamlined infrastructure provisioning.
Proficient in Python, Go, or Shell scripting.
Solid foundations in software engineering, experience in system design, implementation best practices, and testing methodologies.
Knowledgeable in security best practices for secure configurations and data protection.
Proven in optimizing CI/CD for efficient Kubernetes deployment and configuration using GitOps and ArgoCD.
Familiarity with security protocols and products, including Active Directory, Windows Authentication, SAML, and OAuth.
In-depth knowledge of computer science data structures and algorithms, coupled with strong problem-solving abilities.
Familiarity with OpenStack IaaS for Kubernetes cluster provisioning is highly desired.