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Principal Platform Software Engineer

Oracle

Principal Platform Software Engineer

full-timePosted: Aug 14, 2026Updated: Aug 27, 2026United States

Job Description

Join Oracle's Health Data Intelligence (HDI) team as a Software Engineer 4, where you will design and build the next generation of cloud-native platforms, distributed systems, and intelligent automation solutions that power large-scale healthcare analytics. This role is ideal for engineers who enjoy solving complex software engineering challenges at scale. You will develop highly available services, reliability platforms, observability systems, automation frameworks, and AI-powered operational tooling that enable mission-critical analytics workloads across Oracle Cloud Infrastructure and multi-cloud environments. You will partner with product, platform, data, and reliability teams to build scalable software systems that process massive datasets, improve developer productivity, automate operational workflows, and enhance platform resilience. As Oracle continues investing in AI-native infrastructure, you will help drive the adoption of Generative AI and agent-based technologies to build intelligent operational platforms, self-service infrastructure solutions, and autonomous reliability capabilities. U.S. citizenship is required for this position, as the successful candidate will be required to obtain and maintain a U.S. government security clearance after hire. Software EngineeringStrong software development experience in Java, Python, Go, or similar languagesExperience designing, building, and maintaining large-scale distributed systemsStrong understanding of software architecture, design patterns, and system design principlesExperience developing cloud-native applications and microservicesAbility to write high-quality, maintainable, and testable production code Distributed Systems & Platform EngineeringExperience building highly available, fault-tolerant systemsStrong understanding of scalability, performance optimization, concurrency, and resiliency patternsExperience developing platform services, shared frameworks, or developer toolingKnowledge of event-driven architectures and service-oriented systems AI-Native EngineeringExperience building software solutions leveraging Generative AI, Agentic AI, or LLM technologiesExperience integrating frameworks such as LangChain, AutoGen, CrewAI, or custom AI agentsAbility to develop AI-powered automation for:Incident analysisOperational workflowsInfrastructure lifecycle managementIntelligent observabilityExperience designing APIs and services that incorporate AI capabilities Cloud & Platform TechnologiesStrong experience with OCI, AWS, Azure, or multi-cloud environmentsExperience building cloud-native services using Kubernetes and container technologiesKnowledge of cloud architecture, networking, security, and resource optimizationExperience with Infrastructure as Code using Terraform or similar technologies Data EngineeringExperience building data-intensive applications and analytics platformsKnowledge of ETL pipelines and large-scale data processing frameworksFamiliarity with data warehouse technologies such as Snowflake, Vertica, or equivalent platforms Understanding of distributed storage and columnar database architecturesReliability EngineeringUnderstanding of SRE principles and operational excellence practicesExperience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar toolsExperience analyzing production issues and implementing durable software fixesKnowledge of reliability patterns, monitoring, alerting, and performance engineering ResponsibilitiesDesign & Develop Software PlatformsDesign, develop, and maintain cloud-native software services supporting Oracle HDI analytics platformsBuild scalable distributed systems capable of processing and analyzing large healthcare datasetsDevelop reusable frameworks, APIs, libraries, and platform capabilities that improve developer productivity and system reliabilityContribute across the full software development lifecycle from architecture through production deployment Build Intelligent Automation SystemsDevelop AI-powered tools and platforms that automate operational and engineering workflowsBuild agent-based systems for:Incident investigationRoot cause analysisInfrastructure automationOperational intelligenceDesign software that enables self-service infrastructure and autonomous platform operations Platform Reliability & ScalabilityDesign software solutions that improve availability, scalability, performance, and resilienceBuild observability platforms and reliability tooling used across engineering teamsDevelop automated remediation and self-healing capabilitiesDrive engineering improvements through metrics, automation, and performance optimization Cloud & Infrastructure EngineeringDevelop software solutions that support OCI and multi-cloud deploymentsBuild infrastructure automation frameworks and deployment toolingImprove platform efficiency, security, compliance, and operational scalability Data Platform DevelopmentDesign and optimize large-scale data processing and analytics systemsDevelop and enhance data pipelines, processing frameworks, and warehouse integrationsImprove throughput, reliability, and efficiency of data-intensive workloads Engineering ExcellenceParticipate in architecture reviews, design discussions, and code reviewsMentor engineers and contribute to engineering best practicesCollaborate across software, platform, data, and infrastructure teamsChampion software quality, automation, testing, and operational excellence What You Bring10+ years of software engineering experience building large-scale distributed systemsStrong track record of delivering production software in cloud environmentsExperience developing cloud-native services, platforms, or infrastructure softwareProven ability to lead complex technical initiatives from design through deployment Core Technical ExpertiseDistributed systems designCloud-native application developmentPlatform engineering and developer toolingLarge-scale data processing systemsPerformance optimization and scalability AI-Native ExperienceExperience building AI-powered software products or developer platformsExperience integrating LLMs, agent frameworks, or intelligent automation systems into production environmentsUnderstanding of emerging AI engineering patterns and operational applications Technical SkillsJava, Go, Python, or similar languagesKubernetes, DockerTerraformCI/CD platformsPrometheus, Grafana, OpenTelemetryCloud platforms (OCI preferred) Disclaimer:Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $104,500 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Oracle US offers a comprehensive benefits package which includes the following:1. Medical, dental, and vision insurance, including expert medical opinion2. Short term disability and long term disability3. Life insurance and AD&D4. Supplemental life insurance (Employee/Spouse/Child)5. Health care and dependent care Flexible Spending Accounts6. Pre-tax commuter and parking benefits7. 401(k) Savings and Investment Plan with company match8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.9. 11 paid holidays10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.11. Paid parental leave12. Adoption assistance13. Employee Stock Purchase Plan14. Financial planning and group legal15. Voluntary benefits including auto, homeowner and pet insuranceThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.Career Level - IC4

Locations

  • United States

Salary

104,500 - 234,600 USD / yearly

Skills Required

  • large-scale distributed systemsintermediate
  • AI-powered software productsintermediate

Required Qualifications

  • 10+ years of software engineering experience building large-scale distributed systems (experience, 10 years)
  • Strong track record of delivering production software in cloud environments (experience)
  • Experience developing cloud-native services, platforms, or infrastructure software (experience)
  • Proven ability to lead complex technical initiatives from design through deployment (experience)
  • Core Technical Expertise (experience)
  • Distributed systems design (experience)
  • Cloud-native application development (experience)
  • Platform engineering and developer tooling (experience)
  • Large-scale data processing systems (experience)
  • Performance optimization and scalability (experience)
  • AI-Native Experience (experience)
  • Experience building AI-powered software products or developer platforms (experience)
  • Experience integrating LLMs, agent frameworks, or intelligent automation systems into production environments (experience)
  • Understanding of emerging AI engineering patterns and operational applications (experience)
  • Technical Skills (experience)
  • Java, Go, Python, or similar languages (experience)
  • Kubernetes, Docker (experience)
  • Terraform (experience)
  • CI/CD platforms (experience)
  • Prometheus, Grafana, OpenTelemetry (experience)
  • Cloud platforms (OCI preferred) (experience)

Responsibilities

  • Design & Develop Software Platforms
  • Design, develop, and maintain cloud-native software services supporting Oracle HDI analytics platforms
  • Build scalable distributed systems capable of processing and analyzing large healthcare datasets
  • Develop reusable frameworks, APIs, libraries, and platform capabilities that improve developer productivity and system reliability
  • Contribute across the full software development lifecycle from architecture through production deployment
  • Build Intelligent Automation Systems
  • Develop AI-powered tools and platforms that automate operational and engineering workflows
  • Build agent-based systems for:Incident investigationRoot cause analysisInfrastructure automationOperational intelligence
  • Design software that enables self-service infrastructure and autonomous platform operations
  • Platform Reliability & Scalability
  • Design software solutions that improve availability, scalability, performance, and resilience
  • Build observability platforms and reliability tooling used across engineering teams
  • Develop automated remediation and self-healing capabilities
  • Drive engineering improvements through metrics, automation, and performance optimization
  • Cloud & Infrastructure Engineering
  • Develop software solutions that support OCI and multi-cloud deployments
  • Build infrastructure automation frameworks and deployment tooling
  • Improve platform efficiency, security, compliance, and operational scalability
  • Data Platform Development
  • Design and optimize large-scale data processing and analytics systems
  • Develop and enhance data pipelines, processing frameworks, and warehouse integrations
  • Improve throughput, reliability, and efficiency of data-intensive workloads
  • Engineering Excellence
  • Participate in architecture reviews, design discussions, and code reviews
  • Mentor engineers and contribute to engineering best practices
  • Collaborate across software, platform, data, and infrastructure teams
  • Champion software quality, automation, testing, and operational excellence

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