3 of 3 Deployment Automation Jobs in Worcester

CI/CD pipelines, automating infrastructure deployments, and enabling continuous delivery across our Microsoft Azure environment. If you're passionate about cloud-native development, automation, and working in a collaborative DevOps culture we want to hear from you! Key Responsibilities Design, develop, and maintain Azure DevOps pipelines for build … test, and deployment automation Manage and evolve our Infrastructure as Code using ARM templates, Bicep, or Terraform Work closely with developers and infrastructure teams to support agile delivery and scalable environments Monitor and improve system performance, reliability, and security in Azure Collaborate on cloud migration and modernization efforts … strategies and branching models using Git Implement and enforce DevOps best practices including automated testing, version control, and configuration management Troubleshoot and resolve build, deployment, and environment issues Contribute to technical documentation and internal knowledge sharing Key Skills & Experience Hands-on experience with Azure DevOps Services (Repos, Pipelines, Artifacts More ❯

This role offers the chance to lead DevOps strategy and implementation in a fast-paced environment, collaborating with stakeholders to ensure a robust, scalable deployment pipeline. Key Responsibilities: Take ownership of the Azure DevOps strategy, ensuring best practices across CI/CD, automation, and infrastructure-as-code. Design … maintain Azure DevOps pipelines (.yml files) for automated deployments. Implement and manage Bicep files for infrastructure provisioning. Write and maintain Bash scripts to support automation and configuration management. Set up and configure site-to-site VPNs to ensure secure connectivity. Collaborate closely with development teams and business stakeholders to More ❯

Work within a .NET environment, integrating AI solutions with existing Microsoft-based infrastructure and applications. Develop AI pipelines and APIs to facilitate smooth AI deployment and integration. Stay up to date with emerging AI regulations, ethical considerations, and industry standards. Conduct risk assessments for AI deployments, ensuring compliance with … governance policies. Essential Skills & Experience AI Development & Deployment: Strong hands-on experience developing and deploying AI/ML models. RAG Expertise: Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP: Experience working with LLMs (OpenAI, Anthropic, Hugging Face, etc.), including model tuning … REST APIs, GraphQL, and microservices architectures. Good knowledge of common ML algorithms. Version Control & CI/CD: Familiarity with Git, DevOps pipelines, and automated deployment workflows Working knowledge of nVidia tech stack. Desirable Skills Experience in AI for finance, healthcare, legal, or other highly regulated industries. Familiarity with AI More ❯