{"id":2533087,"url":"https://alion.io/job/unisys-devops-engineer-azure-databricks-azure-cloud-operations","title":"DevOps Engineer - Azure Databricks & Azure Cloud Operations","company":{"id":6839,"name":"Unisys","domain":"unisys.com","url":"https://alion.io/company/unisys","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":73,"ghost_share":0,"stale_share":0.863,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-15T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"API Gateway","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"OCR","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"Computer Vision","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-14T13:26:39Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T02:39:58Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"What success looks like in this role:\nDesign and provision a secure Azure AI Foundry ML architecture for OCR-based billing data extraction, taking models from validation through production deployment to resolve revenue-impacting invoice processing delays. • Build and operate an end-to-end AI pipeline - ingestion, model inference, and REST API integration - Azure Container Apps, API Gateway • Containerized Python/FastAPI microservices with Docker, publish images to Azure Container Registry, and deploy to Azure Container Apps, enabling scalable HTTP-based model serving. • Build CI/CD pipelines (Azure DevOps) automating deployment and version control for ML-enabled infrastructure and application services. • Implement pipeline monitoring and observability (Azure Application Insights, centralized logging) to track model and service performance in production.\nDesigning and managing environments that combine on-premises infrastructure with cloud services. • Integrating AI-driven automation to streamline tasks like resource provisioning and security enforcement, enhancing efficiency and adaptability. • Researching new technologies related to the development of distributed applications on the Cloud platform\n#LI-LS1\nYou will be successful in this role if you have:\nBE degree with 2+ years relevant experience\nExperience in DevOps and Cloud Operations.\nStrong knowledge of Microsoft Azure services.\nExperience with Azure Databricks (ADB).\nCI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions.\nScripting experience in Python, PowerShell, or Shell scripting.\nKnowledge of Infrastructure as Code (Terraform, ARM templates, etc.).\nExperience with monitoring and incident management.\nPreferred Skills:\nExperience supporting data platforms and analytics environments.\nKnowledge of containers (Docker/Kubernetes).\nUnderstanding of cloud security and governance.\nAI/ML technical writer from the perspective of a perpetual learn\nDistilled intricate topics into digestible content, catering to both novice learners and seasoned professionals in the field\nDemystify the intricacies of computer vision, machine learning frameworks, and advanced neural network architectures\nUnisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.\nLocal employment practices and rights may vary by jurisdiction and are subject to applicable local laws. 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