[Remote] Senior Software Engineer – AI-Native Platform Engineering

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Oracle is a leading company in AI and cloud solutions, and they are seeking a Principal Software Engineer to join their Health Data Intelligence team. The role involves designing and building cloud-native platforms and distributed systems to enhance healthcare analytics through intelligent automation solutions.ResponsibilitiesStrong software development experience in Python, Java, Go (Golang), or similar languagesStrong hands-on system design experience with the ability to architect and build large-scale distributed systemsDemonstrated expertise writing high-quality, maintainable, testable, and production-grade codeStrong understanding of software architecture, design patterns, and engineering best practicesExperience developing cloud-native applications, microservices, and platform servicesExperience leading technical design discussions, architecture reviews, and complex engineering initiativesExperience building highly available, fault-tolerant distributed systems at scaleStrong understanding of scalability, concurrency, resiliency, performance optimization, and reliability patternsExperience developing platform services, shared frameworks, developer tooling, and self-service platformsKnowledge of event-driven architectures, service-oriented systems, and asynchronous processing patternsHands-on experience building solutions using Generative AI, Agentic AI, Large Language Models (LLMs), and intelligent automation technologiesExperience integrating frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI, or equivalent AI platformsExperience building AI-powered automation for: Incident investigation and root cause analysis, Operational intelligence and observability, Infrastructure lifecycle management, Engineering productivity and developer experienceExperience designing APIs, services, and platforms that incorporate AI capabilitiesExperience building AI-assisted operational tooling, autonomous remediation systems, or intelligent platform services is highly desirableStrong experience with OCI, AWS, Azure, or multi-cloud environmentsExperience building cloud-native services using Kubernetes, Docker, and container orchestration platformsStrong understanding of cloud architecture, networking, security, compliance, and cost optimizationDeep experience with Infrastructure as Code (IaC) using Terraform, Ansible, and related automation frameworksExperience building infrastructure automation, deployment tooling, and platform engineering solutionsExperience 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 platformsUnderstanding of distributed storage systems, columnar databases, and large-scale analytics architecturesStrong understanding of SRE principles and operational excellence practicesExperience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar technologiesExperience analyzing production issues and implementing durable engineering solutionsKnowledge of monitoring, alerting, reliability engineering, performance tuning, and self-healing systemsProven experience delivering production software in cloud-native environmentsStrong track record of leading complex technical initiatives from architecture and design through deployment and operationsExperience building platform services, developer tooling, infrastructure automation frameworks, or large-scale analytics platformsLarge-scale distributed systems architecture and hands-on system designSoftware engineering with strong coding proficiency in Python, Java, and/or GoCloud-native application development and microservices architectureInfrastructure as Code (Terraform, Ansible) and automation engineeringPlatform engineering and developer productivity toolingLarge-scale data processing and analytics systemsPerformance optimization, scalability, resiliency, and reliability engineeringAI-powered platforms, intelligent automation, and agent-based system developmentExperience building AI-powered software products, engineering platforms, or operational toolingExperience integrating LLMs, agent frameworks, RAG architectures, and intelligent automation systems into production environmentsUnderstanding of emerging AI engineering patterns and practical applications within software engineering, infrastructure, and operationsSkills3 to 5+ years of software engineering experienceU.S. citizenship is required for this positionStrong software development experience in Python, Java, Go (Golang), or similar languagesStrong hands-on system design experience with the ability to architect and build large-scale distributed systemsDemonstrated expertise writing high-quality, maintainable, testable, and production-grade codeStrong understanding of software architecture, design patterns, and engineering best practicesExperience developing cloud-native applications, microservices, and platform servicesExperience leading technical design discussions, architecture reviews, and complex engineering initiativesExperience building highly available, fault-tolerant distributed systems at scaleStrong understanding of scalability, concurrency, resiliency, performance optimization, and reliability patternsExperience developing platform services, shared frameworks, developer tooling, and self-service platformsKnowledge of event-driven architectures, service-oriented systems, and asynchronous processing patternsHands-on experience building solutions using Generative AI, Agentic AI, Large Language Models (LLMs), and intelligent automation technologiesExperience integrating frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI, or equivalent AI platformsExperience building AI-powered automation for incident investigation and root cause analysisExperience building AI-powered automation for operational intelligence and observabilityExperience building AI-powered automation for infrastructure lifecycle managementExperience building AI-powered automation for engineering productivity and developer experienceExperience designing APIs, services, and platforms that incorporate AI capabilitiesStrong experience with OCI, AWS, Azure, or multi-cloud environmentsExperience building cloud-native services using Kubernetes, Docker, and container orchestration platformsStrong understanding of cloud architecture, networking, security, compliance, and cost optimizationDeep experience with Infrastructure as Code (IaC) using Terraform, Ansible, and related automation frameworksExperience building infrastructure automation, deployment tooling, and platform engineering solutionsExperience 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 platformsUnderstanding of distributed storage systems, columnar databases, and large-scale analytics architecturesStrong understanding of SRE principles and operational excellence practicesExperience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar technologiesExperience analyzing production issues and implementing durable engineering solutionsKnowledge of monitoring, alerting, reliability engineering, performance tuning, and self-healing systems10+ years of hands-on software engineering experience designing, building, and operating large-scale distributed systemsProven experience delivering production software in cloud-native environmentsStrong track record of leading complex technical initiatives from architecture and design through deployment and operationsExperience building platform services, developer tooling, infrastructure automation frameworks, or large-scale analytics platformsLarge-scale distributed systems architecture and hands-on system designSoftware engineering with strong coding proficiency in Python, Java, and/or GoCloud-native application development and microservices architectureInfrastructure as Code (Terraform, Ansible) and automation engineeringPlatform engineering and developer productivity toolingLarge-scale data processing and analytics systemsPerformance optimization, scalability, resiliency, and reliability engineeringAI-powered platforms, intelligent automation, and agent-based system developmentExperience building AI-powered software products, engineering platforms, or operational toolingExperience integrating LLMs, agent frameworks, RAG architectures, and intelligent automation systems into production environmentsUnderstanding of emerging AI engineering patterns and practical applications within software engineering, infrastructure, and operationsTechnical Skills: Python, Java, Go (Golang), Terraform, Ansible, Infrastructure as Code (IaC), Kubernetes, Docker, CI/CD and DevOps platforms, Prometheus, Grafana, OpenTelemetry, Cloud platforms (OCI preferred), Generative AI, Agentic AI, LLM frameworks, and AI-powered automation platformsBenefitsMay be eligible for bonus and equity.Medical, dental, and vision insurance, including expert medical opinionShort term disability and long term disabilityLife insurance and AD&DSupplemental life insurance (Employee/Spouse/Child)Health care and dependent care Flexible Spending AccountsPre-tax commuter and parking benefits401(k) Savings and Investment Plan with company matchPaid 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.11 paid holidaysPaid 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.Paid parental leaveAdoption assistanceEmployee Stock Purchase PlanFinancial planning and group legalVoluntary benefits including auto, homeowner and pet insuranceCompany OverviewOracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions. It was founded in 1977, and is headquartered in Austin, Texas, USA, with a workforce of 10001+ employees. Its website is https://www.oracle.com/.

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