Staff DevOps Engineer
Client is in Fintech
As a Staff DevOps Engineer at The Company, you will be joining a diverse team of mixed background technologists. Our mandate as a team is to provide flexible and stable platform solutions that empower our feature development teams to create the highest quality services for our customers. Day to day, we spend our time developing, testing, and deploying reliability and resiliency features on our Kubernetes-based architecture, adding new functionality, providing production-level support, maintaining and improving existing hardware and software configurations, and removing friction points in system level processes. At larger scales, we make significant upgrades to the capabilities of what The Company can achieve as an emerging leader in the payments industry.
Specifically, this role requires an advanced level of knowledge in architecting AWS and Kubernetes. You will be leading the expansion of The Company’s system across the globe, in a multi-regional configuration. This role also requires strong communication skills, and a proactive mindset, such that the needs of the organization as a whole are met. From time to time, there will be a need to provide infrastructure support outside business hours.
Bachelor’s degree in computer science, systems analysis or a related study, or equivalent experience
6+ years of experience spanning at least two IT disciplines, including technical architecture, network management, application development, middleware, database management or operations
Experience as a team lead preferred
Proficiency in Unix Shell scripting, and some proficiency in Python preferred
Strong understanding of network architecture and application development methodologies
Experience working in and setting up multi-regional AWS configurations and deployments.
An understanding of common traps and pitfalls that can occur in a globally distributed infrastructure.
Experience working with a data warehousing solution such as AWS Redshift, DMS and Lambda tasks, to ensure business intelligence needs are met in a global environment.
Very strong, foundational Kubernetes knowledge. Examples of admission controllers or operators that were authored are highly desirable, but not expected.