google cloud platform
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.