{"id":331998,"url":"https://alion.io/job/amgen-senior-manufacturing-digital-technology-engineer","title":"Senior Manufacturing Digital Technology Engineer","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":334,"ghost_share":0,"stale_share":0.668,"repost_share":0.015,"time_to_fill_p50_days":43,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Matter","optional":false},{"name":"Agile","optional":true},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"MQTT","optional":true},{"name":"OPC UA","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-11-09T10:49:07Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"Career Category\nInformation SystemsJob Description\nLet’s do this. Let’s change the world. In this vital role you will help design, implement, integrate and support manufacturing technologies across Amgen’s global network of manufacturing sites.\nYou will work across manufacturing automation, information systems, data platforms and emerging technologies, collaborating with Architects, Engineers, Development Teams, Automation teams, Business Owners, Subject Matter Experts and other stakeholders to deliver secure, reliable and scalable solutions.\nThe successful candidate will bring a strong technical foundation, curiosity, and an interest in applying new technologies, including AI, to solve real manufacturing challenges.\nKey Responsibilities\nDesign, implement and support technology solutions used within manufacturing environments.\nWork across manufacturing automation systems, manufacturing applications, data platforms and systems integrations.\nSupport integration between systems such as PLC/DCS/SCADA, MES, data historians, manufacturing applications, databases and enterprise/cloud platforms.\nUnderstand manufacturing processes and translate operational and technical needs into practical technology solutions.\nTroubleshoot complex issues spanning applications, infrastructure, automation, interfaces and data flows.\nCollaborate with Automation, Engineering, Manufacturing, Quality, Cybersecurity and DTI teams to develop robust and supportable solutions.\nEvaluate new technologies and identify opportunities to apply digital technologies, analytics and AI to manufacturing use cases.\nDevelop prototypes and proofs of concept to evaluate emerging technologies and demonstrate potential business value.\nSupport the implementation and expansion of technologies across Amgen’s global manufacturing network.\nEnsure solutions align with Amgen architecture, cybersecurity, compliance and operational standards.\nDevelop appropriate technical documentation and support knowledge transfer to operations and support teams.\nIdentify technical risks and contribute to solution architecture, design decisions and continuous improvement.\nCollaborate effectively with geographically dispersed teams, including teams in the US and other international locations.\nPreferred Qualifications\nExperience working with technology in pharmaceutical, biotechnology or other regulated manufacturing environments.\nExperience with manufacturing systems such as MES, data historians, OEE, manufacturing intelligence or other shop-floor applications.\nExperience integrating manufacturing systems using technologies such as OPC/OPC UA, APIs, databases, message brokers or other industrial and enterprise integration technologies.\nUnderstanding of manufacturing data architectures and the movement of data from equipment and control systems through manufacturing and enterprise platforms.\nExperience troubleshooting technical issues across multiple systems and technology layers.\nFamiliarity with databases and data platforms, including SQL and technologies such as Databricks.\nProgramming or scripting experience using technologies such as Python, PowerShell or similar would be advantageous.\nExperience with cloud, on-premises and hybrid architectures, including AWS and/or Azure.\nUnderstanding of cybersecurity principles within manufacturing or operational technology environments.\nExperience in regulated/GxP environments and an understanding of computerized system lifecycle and compliance expectations.\nExperience evaluating, prototyping or applying emerging technologies including AI, machine learning, advanced analytics or industrial IoT.\nDemonstrated interest in continually learning new technologies and applying them to manufacturing problems.\nMust-Have Skills\nExperience with manufacturing automation and control systems such as PLC, DCS, SCADA or industrial control networks.\nStrong technical problem-solving and troubleshooting capability.\nGood understanding of manufacturing technology, automation systems, applications, data and system integration.\nAbility to understand how multiple technology layers interact, from manufacturing equipment and control systems through applications, data platforms and enterprise systems.\nAbility to work with technical SMEs across Automation, Engineering, Infrastructure, Applications, Data and Cybersecurity.\nAbility to rapidly learn unfamiliar technologies and investigate complex technical problems.\nStrong curiosity and ongoing interest in emerging technologies, particularly AI, advanced analytics and manufacturing digitalization.\nAbility to translate manufacturing problems into clear technical requirements and potential solution approaches.\nStrong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.\nAbility to work independently while collaborating effectively within global, cross-functional teams.\nGood-to-Have Skills\nFamiliarity with generative AI, AI agents, machine learning or AI-enabled development tools.\nExperience with one or more industrial automation platforms such as Rockwell, Siemens, Emerson DeltaV, B&R or similar.\nFamiliarity with industrial communication technologies and protocols.\nExperience with OPC UA, MQTT, REST APIs or other integration technologies.\nExperience with PI System or other industrial data historians.\nExperience with MES platforms or integration between MES and process automation systems.\nExperience with Databricks, SQL, Python or similar data and analytics technologies.\nExposure to containerization, Kubernetes or modern application architectures.\nExperience developing proofs of concept or rapidly evaluating new technology.\nExperience working in Agile delivery 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