DevOps Lead

We are looking for experienced and talented DevOps / Cloud Engineers to join our global engineering teams (Architect, Product, Development, Platform/SRE) developing and operating our flagship product (Digital Bank platform).

The DevOps/ Cloud Engineer tasks will include design and implementation of automatic infrastructure provisioning based on public cloud services, automatic software release as well as the design of release processes, design and building the architecture that supports disposable environments, establishing automatic software quality assurance tools and practices, setting up and managing the automatic build environment, database setup, and migration support, managing the Continuous Delivery end-2-end.

We'll expect you to have:

• Commercial advanced experience with AWS Platform, AWS networking, Terraform (IaaC)
• Advanced experience with containerization-based technologies (Docker/Kubernetes preferable) with Service Mesh (i.e.: Istio, Linkerd, Maesh) implementation
• Experience with Helm charts and template language
• Good knowledge of infrastructure provisioning and configuration, ability to manage day-to-day cloud-based infrastructure (i.e: Terraform, Ansible, Cloud Formation, etc.)
• Experience with micro-services observability, log analysis, and monitoring tools (Prometheus, Grafana, ELK, Splunk)
• Experience with GIT, Hashicorp Vault, Apache Kafka, Artifactory
• Advanced knowledge of UNIX/Linux operating system including troubleshooting and system hardening
• Good understanding of cloud infrastructure design covering in-depth networking setup and security, understanding TCP/IP protocol stack, building, and managing clusters
• Commercial experience of continuous integration, continuous delivery, software release, advanced deployment strategies, disposable environments, virtualization
• Scrum Methodology knowledge
• Strong messaging systems knowledge, preferably Kafka, alternatively Solace/RabbitMQ/AWS Kinesis.
• Hands-on usage of Kubernetes and Docker to schedule and run microservices.
• Practical knowledge of Git flow, Trunk, and GitHub flow branching strategies.
• Familiar with DevOps toolchain experience: GitHub, CircleCI, Artifactory, SonarQube, et al.
• Familiar with data lake concepts, NoSQL databases such as DynamoDB, Cassandra and machine learning technologies