Job Description

Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today?s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. The Opportunity The Sr. DevOps Engineer will serve as a key contributor in automating and optimizing the software and data delivery lifecycle. This role bridges the gap between development, data engineering and operations by designing, building, and maintaining robust CI/CD pipelines, fostering a culture of automation, observability, and accountability. The ideal candidate is passionate about enabling faster, safer, and more reliable software delivery and data reliability, while partnering cross-functionally to enhance scalability, resilience, and operational excellence. What You Will Do 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. What You Will Need To Succeed 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. Expertise in deployment methodologies such as blue/green, canary, and rolling updates. Strong knowledge of monitoring and observability stacks. Proficiency in scripting languages (e.g. Bash, Python, PowerShell, or Go) for automation and integration. Experience with version control and Git-based workflows. 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. A continuous improvement mindset focused on speed, safety, and reliability in software delivery. Experience automating and orchestrating data ingestion and transformation pipelines across databases, APIs, and data warehouses (e.g., Snowflake, BigQuery, Postgres) using CI/CD principles Understanding of data pipeline observability, data quality validation, and versioning practices (e.g., dbt tests, schema migration automation, or metadata tracking). Preferred Qualifications 7+ years of experience in DevOps, Cloud Engineering, or a related field with progressive responsibility. Mastery of the Google Cloud Platform Experience w/MLOps to deploy and manage AI technologies such as Ollama, FastAPI, Vector Systems as well as building CI/CD for data pipelines and integrating ML model deployment workflows. Experience managing containers from a CI/CD and release management perspective. Background in security automation, compliance, and policy-as-code frameworks. Experience with automated testing and quality gates within CI/CD pipelines. Familiarity with agile methodologies and modern software delivery practices. Supplier.io participates in E-Verify. For more information, click here. We will provide the Social Security Administration and, if necessary, the Department of Homeland Security, with information from each new employee?s Form I-9 to confirm work authorization. Supplier.io is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. If you require reasonable accommodation to complete the application or interview process, please contact the Human Resources department at [email protected] or 978-843-5747.