Sr. DevOps Engineer at Supplier.io automating software and data delivery lifecycle. Managing CI/CD pipelines and collaborating with development, data, and operations teams in a hybrid environment.
Responsibilities
Design, build, and maintain automated CI/CD pipelines using tools such as Azure DevOps
Implement Infrastructure as Code (IaC) using Terraform and Ansible to provision and manage environments consistently
Collaborate with software development teams to ensure consistency across development, staging, and production environments, leveraging containers and Kubernetes
Partner with CloudOps, AI, Data, and Platform Engineering to design and maintain resilient, scalable infrastructure that supports application, AI, and data delivery
Implement CI/CD for data workflows using orchestration frameworks (e.g., Airflow, dbt Cloud, Cloud Composer, or Dagster)
Ensure data pipelines are observable, version-controlled, and deployable using the same DevOps principles applied to software systems
Automate application build, test, and deployment workflows to accelerate delivery and reduce human error
Manage and optimize deployment strategies, including blue/green, canary, and rolling releases
Implement and maintain monitoring, logging, and alerting solutions
Evaluate and integrate emerging DevOps tools and practices to improve delivery efficiency, scalability, and reliability
Mentor and guide developers and operations staff on DevOps best practices and CI/CD processes
Foster a culture of proper code and configuration promotion through well-defined pre-production and production environments
Support container management from a release and delivery perspective
Requirements
7+ years of experience in DevOps, Cloud Engineering, or related field
Proven experience designing and managing CI/CD pipelines in Azure DevOps, Jenkins, GitLab CI, or similar platforms
Strong proficiency in Infrastructure as Code tools such as Terraform, Ansible, and Helm
Deep understanding of containerization and orchestration technologies, including Docker and Kubernetes
Solid experience with cloud platforms (AWS, Azure, or GCP) and related services for compute, storage, and networking
Strong knowledge of monitoring and observability stacks
Proficiency in scripting languages (e.g. Bash, Python, PowerShell, or Go) for automation and integration
Excellent collaboration and communication skills with a track record of working effectively across development, operations, and infrastructure teams
Ability to mentor junior engineers and advocate for DevOps principles across teams
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