{"id":21457,"url":"https://alion.io/job/rapidai-lead-technical-support-engineer-dicom","title":"Lead Technical Support Engineer, DICOM","company":{"id":16081,"name":"RapidAI","domain":"rapidai.com","url":"https://alion.io/company/rapidai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Support","role_family":"Support","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","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":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"DICOM","optional":false},{"name":"HL7","optional":false},{"name":"Tcpdump","optional":false},{"name":"Terraform","optional":false},{"name":"Wireshark","optional":false}],"status":"live","first_seen_at":"2025-09-19T13:56:26Z","employer_posted_date":"2025-09-19","last_verified_at":"2026-10-22T22:54:12Z","board_verified":true,"closed_at":null,"days_open":398,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":397},"description":"What you will do:\nProvide subject matter expertise in DICOM viewer technologies and standards. \n Lead the debugging, validation, and enhancement of features tied to DICOM tags, SOP classes, and modalities.\n Analyze and interpret DICOM file structures, including: o Tags (e.g., StudyInstanceUID, SOPInstanceUID, Modality) o Transfer syntaxes (Explicit/Implicit VR, Little/Big Endian) o Differentiation between image metadata and pixel data \nUtilize tools such as dcmdump, DCMTK, GDCM, RadiAnt, and 3D Slicer for advanced DICOM analysis and debugging. Oversee and troubleshoot DICOM network services including C-FIND, C-MOVE, C-STORE, and C\u0002ECHO. \nInvestigate and resolve issues such as DICOM timeouts, association rejections, and PACS misconfigurations. \nUse Wireshark and TCPDump to monitor and analyze DICOM and HL7 network traffic. \nCollaborate with engineering to evaluate, reproduce, and resolve viewer-related issues, including root cause analysis and validation of fixes. \nProvide insight into radiology workflows and ensure solutions align with user needs across imaging modalities.\nWork with support teams to ensure readiness for new module releases, including viewer updates, on both cloud and on-prem platforms.\nEmbrace new technologies including AI-based troubleshooting, and contribute to internal tooling and training programs to scale support capabilities. \nMentor and lead a team of specialists, fostering a customer-obsessed mindset and building a scalable, knowledge-driven support model.\nWhat you will bring:\n10+ years of experience working with PACS, DICOM, and radiology workflows.\n In-depth knowledge of DICOM standards, file structures, and transfer syntaxes. \nProficient with DICOM viewers and diagnostic tools for file and network-level troubleshooting. \nSolid understanding of HL7, medical imaging systems, and radiology data flows. \nExperience debugging DICOM Query/Retrieve workflows and PACS integrations.\n Comfortable using packet capture and network tools such as Wireshark and TCPDump.\nFamiliar with AWS, including CloudWatch, Lambda, and infrastructure-as-code tools like Terraform. \nProven ability to collaborate with cross-functional teams and provide leadership across engineering, support, and product. \n5+ years of experience mentoring and managing team members in a technical or support 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