SPC DevOps Engineer

The DevOps will be responsible for:

• 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.
• Upliftment of environment management, automation in deployment, version upgrades etc.
• Upliftment of automation testing using e2e-tests BDD framework and time cursor + actual environment test
• Understand CI/CD pipeline, deployment process
• Understand business requirements and convert that into Thought machine designs
• Understand business flow in Core banking and can discuss with Business on Finance, Credit card, Ops requirements
• Support business features during development, UAT testing and Production. Able to triage issues in TM environment (kubernetes, kafka), schedules issues, incorrect interest calculation etc.

We'll expect you to have:

• Thought machine operators, AWS, Kubernetes, Helm chart, Kafka, RDS, Prometheus, Grafana
• 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