What will your destination look like at Flyr:

As a Senior DevOps Engineer you will work collaboratively with other DevOps professionals, members of R&D, and PM teams, to contribute to the discussion, planning, and implementation phases of team projects.

Participate in a joint effort to provide support and constant improvements to cloud-based production environments for the cutting edge AI (Artificial Intelligence) platform.
Be engaged in the development and implementation of various infrastructure management utilities to advance all aspects of SAAS platform support.
Exercise change control management standards to provide stability of the environment and establish a smooth path of code promotion and environment updates.
Be engaged in troubleshooting and RCA (Root Cause Analysis) efforts, utilizing logs aggregation (from numerous systems and applications of the environment) and logs analysis with command-line automation scripts and parsing tools.
Support and maintain all layers of Dev and Staging environments for a feature and integration testing of the code.
Will be responsible for a team effort to support the GCP cloud infrastructure platform and various services such as Airflow, BigQuery, Kafka
Support development teams in the delivery of product feature utilizing CI/CD, manage Docker container build processes for Dev, Staging, and Prod environments.
Be the technical expert on several keys components of the SAAS platform and will be responsible for tasks for performance improvement.
Take a lead on research and POC (Proof Of Concept) planning and execution for new technologies implementation.
Be responsible for building documentation collection for features of internal tools and DevOps processes.

What you can bring to this trip:

Bachelor's degree in Computer Science, equivalent experience, or related field required.
5+ years of experience working as DevOps Engineer with a focus on deployment and support of cloud-native applications services in cloud-based virtualized infrastructure, GCP (Google Cloud Platform) preferred.
5+ years of experience in container virtualization technologies and container orchestration tools and mechanisms (Kubernetes preferred).
Expert in virtualization of dynamic microservices-based applications and infrastructure components deployment processes (Docker, Helm, Spinnaker).
Deep knowledge of infrastructure in Linux-based environments (systems, networking, storage, and services concepts).Fluent in scripting aspects of system administration (Linux command-line tools, bash, python).
Expert in cloud infrastructure support and troubleshooting of web-servers, load balancers, traffic routing, and shaping. Solid experience with GCP is preferred, AWS and Azure are a plus.
Extensive knowledge of infrastructure configuration automation and concepts of IAC (Infrastructure As a Code), Terraform is preferred.
Hands-on experience in software tools development with a strong understanding of CI/CD practices implementation in a cloud-based infrastructure.
Advanced knowledge of CI/CD in the Kubernetes environment for microservice-based implemented applications, CircleCI is preferred.
Fluent in python with strong knowledge of the python environment setup and management, with extensive experience in TDD-based automation tools development.
Expert understanding of git-based SCM (Source Code Management) processes (branching, approvals, and promotions). Github is preferred.
Solid knowledge of git and git-based structures (branching, approvals, ...).Experience in support and administration of Postgres DB in cloud environments.
Solid experience and commitment to exercise and enforce security best practices in production and development environments, logging, and monitoring.
Strong writing and oral communication skills.

Summary
Flyr Inc
Senior DevOps Engineer at Flyr Inc (San Francisco, CA) (allows remote)

Tags: python, kubernetes, terraform, linux, gcp