Job Overview:
We are seeking a proactive and skilled DevOps Engineer with a strong understanding of Git branch/merge/deployment strategies, Terraform, and Azure DevOps (ADO) pipelines to support, monitor, and continuously improve our deployment processes across cloud environments. You'll play a key role in implementing and refining DevOps practices, from pipeline scripting to containerization, ensuring our environments are secure, efficient, and highly available.
Key Responsibilities:
Develop, maintain, and optimize Git branch, merge, and deployment strategies to streamline version control and code integration.
Design, implement, and manage Infrastructure as Code (IaC) using Terraform, automating environment setups and configurations.
Create, configure, and manage ADO build and deployment pipelines using YAML scripting, ensuring reliable and scalable CI/CD practices.
Establish monitoring and alerting systems for Azure, AWS, and GCP environments to preemptively address issues and ensure high availability.
Support containerization initiatives, designing and deploying solutions that enhance portability, security, and scalability of applications.
Collaborate with cross-functional teams to evaluate, recommend, and implement DevOps best practices tailored to our infrastructure and business needs.
Proactively identify and implement process improvements to enhance deployment efficiency, reduce risk, and optimize resource utilization.
Troubleshoot, analyze, and resolve issues related to infrastructure and deployments, leveraging root cause analysis to prevent recurrence.
Qualifications:
5 years relevant experience
Proven experience with Git branch and merge strategies, deployment workflows, and pipeline automation.
Proficient in Terraform, with hands-on experience in deploying and managing resources on cloud platforms.
Advanced skills in Azure DevOps (ADO), particularly in building and scripting YAML-based CI/CD pipelines.
Knowledge of monitoring and alerting tools specific to Azure, AWS, and GCP, with a strong understanding of multi-cloud deployments.
Experience with containerization technologies such as Docker, Kubernetes, or similar.
Strong analytical skills, with the ability to anticipate issues, understand root causes, and implement proactive solutions.
Self-starter, inquisitive mindset, and a continuous learner with the ability to identify areas of improvement and recommend solutions.
Excellent communication skills and a collaborative attitude to work effectively across teams.
Preferred Skills:
Certification in Azure, AWS, or GCP.
Familiarity with scripting languages like Python, Bash, or PowerShell for automation.
Experience with logging and monitoring tools like Prometheus, Grafana, or CloudWatch.