Senior Software Engineer
GEICOAbout the role
Position Description
Our Senior Software Engineer works with our Distinguished Engineer and Staff 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 lead 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 deep technical expertise in the Open-Source platform domain.
Position Responsibilities
As a Senior Software Engineer, 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 organization including self-service, business continuity, backup/restores, incident response and paging platforms
Accountable for the quality, usability, and performance of the solutions
Lead projects from the front and interact with clients and sponsors on a regular basis
Consistently share best practices and improve processes within and across teams
Take on-call and operational support
Qualifications
Advance knowledge of at least one modern OOP language such as Python or Go (preferred)
Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes
Strong Test-Driven Development practices (e.g., unit, functional, integration, load, etc.)
In-depth knowledge of CS data structures and algorithms
Understanding of security best practices (e.g., certificates, encryption)
Understand open-source databases like MySQL, PostgreSQL, etc.
Familiar with No-SQL databases like Cassandra, MongoDB, etc.
Experience in architecting, designing, building automation, workflows, and distributed applications
Strong understanding of service integrations / communication standards (e.g., GRPC / REST)
Experience partnering with engineering teams and transferring research to production
Experience with continuous delivery (CI/CD) and Infrastructure as Code
Experience solving analytical problems with quantitative approaches
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)
Knowledge of Kubernetes, containers, and best practices on a K8s environment (including K8s operators)
Experience in open-source tools like GIT/Jenkin/CircleCI, and knowledge in Pulumi/Terraform/Ansible is a plus
Excellent communication skills
Ability to excel in a fast-paced, startup-like environment<
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