{"id":3567037,"url":"https://alion.io/job/oracle-senior-software-developer-oracle-health","title":"Senior Software Developer -Oracle Health","company":{"id":53,"name":"Oracle","domain":"oracle.com","url":"https://alion.io/company/oracle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":346,"ghost_share":0,"stale_share":0.627,"repost_share":0.006,"time_to_fill_p50_days":9,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":71000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1665},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"FHIR","optional":false},{"name":"GCP","optional":false},{"name":"HL7","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Self-Healing","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T14:58:07Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-04T17:52:03Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"This role involves leveraging cloud technologies, microservices architecture on Kubernetes, modern UI frameworks, and innovative Conversational and Generative AI capabilities. As an experienced technical expert, you will play a pivotal role in designing and implementing robust, scalable, and high-quality solutions while collaborating with a team of engineers across the globe.\nArchitect, design, and implement end-to-end AI-based automation solutions for cloud based EHR products.\nDevelop and scale AIOps systems leveraging machine learning for anomaly detection, root cause analysis, predictive maintenance, and self-healing of EHR environments.\n4+ years of relevant experience in software development, automation engineering, or related fields, including substantial experience with AI/ML frameworks in any of cloud platforms OCI, AWS, Azure, GCP.\nProven expertise implementing AI/ML solutions in production, preferably focused on AI operations (AIOps), automation, observability.\nThis position offers a unique opportunity to contribute hands-on to the development of cloud-centric applications from the ground up, influencing both technical and business strategies. You will work closely with cross-functional teams, driving technical excellence and innovation in product development.\nKey Responsibilities:\nDesign, develop, and implement advanced EHR solutions using cloud-native technologies, microservices, and Kubernetes.\nCollaborate with engineering teams to architect scalable and maintainable systems.\nDrive the adoption of modern UI frameworks and AI technologies to enhance product capabilities.\nEnsure high-quality engineering standards through code reviews, testing, and best practices.\nProvide technical guidance and mentorship to team members, fostering a culture of innovation and excellence.\nWhat We Offer:\nAutonomy and ownership over impactful projects that shape the future of EHR products.\nA diverse, inclusive, and creative work environment that encourages innovation.\nOpportunities to grow in a dynamic organization that values technical excellence and collaboration.\nRESPONSIBILITIES:\nServe as an expert escalation point by triaging complex customer-reported issues that require in-depth technical analysis beyond Tier 1 and Tier 2 support.\nPerform thorough root cause analysis of critical incidents, utilizing advanced diagnostic tools and collaborating with development, engineering, and product teams as needed.\nDocument findings, recommend solutions or workarounds, and drive effective resolution of issues to minimize impact on customers.\nContinuously contribute to knowledge sharing and process improvements to enhance the efficiency of the support function.\nBeing hands-on is a critical requirement for this role.\nExperience in Solution Design: Proven experience in designing solutions for customer engagements, specifically in the EHR and Healthcare Integration space.\nProgramming Expertise: Proficient in Java, with experience in scripting languages such as Python and Shell for automating and optimizing workflows in clinical applications.\nMicroservices and Kubernetes: In-depth understanding of microservices architecture and Kubernetes for scalable, cloud-native EHR applications.\nProvide 24X7 on call support for our customers.\nDatabase Proficiency: Strong knowledge of database query languages such as SQL, with experience in managing healthcare data securely and efficiently.\nData Standards and APIs: Solid understanding of XML, JSON, REST APIs, and HL7/FHIR standards for interoperability between healthcare systems.\nRisk Management and Resolution: Ability to identify potential risks and problem areas in EHR integrations, and develop procedures for effective workarounds and resolutions tailored to healthcare workflows.\nIntegration Ecosystem Expertise: Broad knowledge across integration processes associated with EHR systems, such as connecting healthcare-specific SaaS, partner products/services and third-party 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