Senior DevOps Engineer - remote

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.

• 5-7 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).
• Understands 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).
• Knowledge in cloud infrastructure support and troubleshooting of web-servers, load balancers, traffic routing, and shaping. Solid experience with GCP is preferred, AWS and Azure is a plus.
• Extensive knowledge of infrastructure configuration automation and concepts of IAC (Infrastructure As a Code), Terraform is preferred.
• Advanced knowledge of CI/CD pipelines.
• Strong knowledge in Python is preferred.
• Solid knowledge of git and git-based structures (branching, approvals), Github is preferred.