Azure Devops Engineer

Duration: Long Term Contract on W2 Only

Objectives of this role

• Deliver Consultancy and implementation strategies around Azure infrastructure (IaaS | PaaS | SaaS).
• Understanding the needs of stakeholders and conveying them to required teams.
• Working on ways to automate and improve development and release processes.
• Ensuring that systems are safe and secure against cybersecurity threats.
• Identifying technical problems and delivering fixes while adhering to Incident SLA s
• Monitoring System availability and take informed decisions.

Responsibilities

• Provide Level 3 technical support.
• Build intelligence to reduce occurrence of errors and improve customer experience.
• Perform root cause analysis of production errors and resolve technical issues.
• Design procedures for system troubleshooting and maintenance.
• Collaborate with cross functional teams including Engineering, Networking, Security, application, and program management.
• Can train or cross-train and mentor team members.

Required Technical skills and qualifications.

• Proficient in creating and maintaining CI/CD pipelines using Azure DevOps
• Proficiency with Git and GitHub workflows
• Hands-on experience with any automation-centric scripting and/or tooling such as Ansible, Terraform and Code repositories Azure DevOps
• Responsible for writing / developing / maintaining Helm Charts for Kubernetes based deployments.
• Hands-on experience working on Unix/Linux operating systems, shell scripting and SQL Database.
• Good knowledge of Ruby or Python
• Hands-on experience working on PowerShell, should be able to create/debug PowerShell scripts.
• Should have experience on different logging tools Elasticsearch(preferable), Prometheus, Grafana
• Experience working with AKS/Kubernetes, Docker, and Cloud Technologies such as Azure, app service plan and other services.
• Should have hands-on Experience and good understanding on Azure Networking, Load Balancing and PAAS services like AKS/Kubernetes, Docker, key vaults, Azure Policies, APIM, APGW, WAF, Azure app service plan, Logic Apps
• Should have a good understanding of data pipelines, ADF (Azure Data Factory) and Azure Data Bricks, preferred experience with Stream sets.
• Work in an environment to manage and operationalize Confluent Kafka components (zookeepers, brokers, Control Centre, Rest proxies, Connect, replicators) in a multi data centre (on-premises and public cloud) environment.
• Problem-solving attitude and Collaborative team spirit

Preferred skills and qualifications

• Bachelor of science degree (or equivalent) in computer science, engineering, or relevant field
• Microsoft Certified DevOps Engineer Expert certification is a must.
• Microsoft Azure Data Engineer (Preferred)
• Automating Administration with PowerShell AZ040 (Preferred)