DevOps Engineer

  Understanding and knowledge on Implementing automated testing platforms, unit tests, and CICD
•    Understanding and knowledge on code versioning tools, such as Git, Bitbucket, Azure devops
•    Understanding and knowledge on Security tools Sonarqube, Aqua, Nexus lifecycle.
•    Understanding of container platform, such as Docker and Kubernetes
•    Familiar and working experience with Ansible, Jenkins, Terraform, ADO
•    Understanding and experience in working on Relation and non-Relation DBs (Postgres, Oracle, MongoDB)
•    An in depth understanding of Public/Private/Hybrid Cloud solutions and experienced in integrating public cloud into traditional hosting/delivery models with a specific focus on AWS
•    Understanding and experience on developing cloud native microservices using frameworks such as Python, Nodejs
•    Understanding and knowledge of Databricks, Delta Lake/Lakehouse patterns, and cloud-based data pipelines for scalable data engineering and MLOps workloads.
•    Build and maintain insights through Data Analytics applications. 

•    Established technology infrastructure career in engineering and delivery with relevant experience
•    Strong development background and understanding of how applications are built
•    AWS Hands-on experience – certified (Preferred)
•    Experience on both public and private cloud platforms
•    Experience using containers like docker and Kubernetes
•    Experience of infrastructure as code using Terraform or similar
•    Experience in Ansible or similar
•    Experience on Splunk, ELK stack
•    Exposure to automate build and deployment pipelines
•    Banking experience, it’s important the candidate has been exposed to the security and compliance restrictions which banks have to deal with or at least worked in an environment which is regulated
•    Azure cloud experience is an advantage
•    Experience with rule and advanced logic creation within SPLUNK is an advantage
•    A solid understanding of DevOps and Infrastructure as code, must be hands on with DevOps tools and can automate deployments to AWS
•    Use of DevOps tools to build infrastructure and manage configurations
•    Databricks Workflows, MLflow and security based on Unity Catalog.