Azure DevOps Engineer - Kubernetes Services (4-10 yrs)

Job Responsibilities :

- Manage and maintain Azure Kubernetes Service, Azure Databricks environments and data lake platform.

- Establish, deploy, and maintain CI/CD pipelines to automate the build, test, and deployment processes.

- Investigate and resolve issues related to the application infrastructure, continuous integration, and deployment pipelines.

Key Responsibilities :

- Implement and maintain infrastructure-as-code (IaC) using tools such as Terraform.

- Utilize containerization technologies like Azure Kubernetes to orchestrate and manage containerized applications in a production environment.

- Manage and maintain the lifecycle of core application suite that provide common capabilities such as continuous deployment, observability, and Kafka streaming.

- Monitor and troubleshoot infrastructure and application issues using monitoring tools.

- Collaborate with infra teams to provision and manage infra resources required by FO IT development teams in Azure cloud.

- Establish, deploy, and maintain CI/CD pipelines to automate the build, test, and deployment processes.

- Investigate and resolve issues related to the application infrastructure, continuous integration, and deployment pipelines.

- Identify areas that benefit from automation and build automated processes wherever possible.

- Design and develop application health dashboards, alerting and notification delivery systems to help with observability of application stack in Azure cloud.

- Collaborate with development, testing, and operations teams to gather, understand, and analyze functional requirements.

- Implement and enforce security best practices throughout the infrastructure, including identity and access management (RBAC), encryption, and secure network configurations.

Desired Skills and Experience :

- 4 to 7 years of experience in a DevOps role preferably in Investment Banking.

- Experience in managing and working with Kubernetes environments and observability tools.

- Strong knowledge of containerization and orchestration of microservices.

- Experience with Docker/Podman, Helm, ArgoCD GitOps tool, Terraform.

- Experience with Azure Kubernetes Service, Azure Storage, Azure Redis, and other Azure cloud related technologies.

- Experience with Prometheus, Grafana, Loki, Tempo, Grafana Agent, Azure Monitor logging and observability tools.

- Good exposure to Bamboo CI/CD tools, Bitbucket, GIT.

- Automation scripting (Bash, Powershell, Python).

- Be able to demonstrate a high level of professionalism, organisation, self-motivation, and a desire for self-improvement.

- Ability to plan, schedule and manage a demanding workload.

Nice to have skills :

- Implement backup and disaster recovery strategies and participate in annual DR tests and assist with executing the DR test plan

- Develop and utilize cost tracking tools and methodologies to provide transparent and accurate financial reporting for all projects.

- Identify areas where cloud spend can be optimized to reduce wastage and costs.

- Good knowledge of scheduling jobs via Apache Airflow.

- Good knowledge of Azure Landing zone, Azure networking concepts such as private links.

- Good knowledge or experience in deploying and maintaining Azure Databricks infra.

- Good Java, NodeJs skills.

- Good understanding of Kafka streaming and MongoDB.

- Knowledge of DevSecOps practices.