[Remote] Senior Software Engineer – AI-Native Platform Engineering
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.
Responsibilities
- Strong software development experience in Python, Java, Go (Golang), or similar languages
- Strong hands-on system design experience with the ability to architect and build large-scale distributed systems
- Demonstrated expertise writing high-quality, maintainable, testable, and production-grade code
- Strong understanding of software architecture, design patterns, and engineering best practices
- Experience developing cloud-native applications, microservices, and platform services
- Experience leading technical design discussions, architecture reviews, and complex engineering initiatives
- Experience building highly available, fault-tolerant distributed systems at scale
- Strong understanding of scalability, concurrency, resiliency, performance optimization, and reliability patterns
- Experience developing platform services, shared frameworks, developer tooling, and self-service platforms
- Knowledge of event-driven architectures, service-oriented systems, and asynchronous processing patterns
- Hands-on experience building solutions using Generative AI, Agentic AI, Large Language Models (LLMs), and intelligent automation technologies
- Experience integrating frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI, or equivalent AI platforms
- Experience building AI-powered automation for: Incident investigation and root cause analysis, Operational intelligence and observability, Infrastructure lifecycle management, Engineering productivity and developer experience
- Experience designing APIs, services, and platforms that incorporate AI capabilities
- Experience building AI-assisted operational tooling, autonomous remediation systems, or intelligent platform services is highly desirable
- Strong experience with OCI, AWS, Azure, or multi-cloud environments
- Experience building cloud-native services using Kubernetes, Docker, and container orchestration platforms
- Strong understanding of cloud architecture, networking, security, compliance, and cost optimization
- Deep experience with Infrastructure as Code (IaC) using Terraform, Ansible, and related automation frameworks
- Experience building infrastructure automation, deployment tooling, and platform engineering solutions
- Experience building data-intensive applications and analytics platforms
- Knowledge of ETL pipelines and large-scale data processing frameworks
- Familiarity with data warehouse technologies such as Snowflake, Vertica, or equivalent platforms
- Understanding of distributed storage systems, columnar databases, and large-scale analytics architectures
- Strong understanding of SRE principles and operational excellence practices
- Experience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar technologies
- Experience analyzing production issues and implementing durable engineering solutions
- Knowledge of monitoring, alerting, reliability engineering, performance tuning, and self-healing systems
- Proven experience delivering production software in cloud-native environments
- Strong track record of leading complex technical initiatives from architecture and design through deployment and operations
- Experience building platform services, developer tooling, infrastructure automation frameworks, or large-scale analytics platforms
- Large-scale distributed systems architecture and hands-on system design
- Software engineering with strong coding proficiency in Python, Java, and/or Go
- Cloud-native application development and microservices architecture
- Infrastructure as Code (Terraform, Ansible) and automation engineering
- Platform engineering and developer productivity tooling
- Large-scale data processing and analytics systems
- Performance optimization, scalability, resiliency, and reliability engineering
- AI-powered platforms, intelligent automation, and agent-based system development
- Experience building AI-powered software products, engineering platforms, or operational tooling
- Experience integrating LLMs, agent frameworks, RAG architectures, and intelligent automation systems into production environments
- Understanding of emerging AI engineering patterns and practical applications within software engineering, infrastructure, and operations
Skills
- 3 to 5+ years of software engineering experience
- U.S. citizenship is required for this position
- Strong software development experience in Python, Java, Go (Golang), or similar languages
- Strong hands-on system design experience with the ability to architect and build large-scale distributed systems
- Demonstrated expertise writing high-quality, maintainable, testable, and production-grade code
- Strong understanding of software architecture, design patterns, and engineering best practices
- Experience developing cloud-native applications, microservices, and platform services
- Experience leading technical design discussions, architecture reviews, and complex engineering initiatives
- Experience building highly available, fault-tolerant distributed systems at scale
- Strong understanding of scalability, concurrency, resiliency, performance optimization, and reliability patterns
- Experience developing platform services, shared frameworks, developer tooling, and self-service platforms
- Knowledge of event-driven architectures, service-oriented systems, and asynchronous processing patterns
- Hands-on experience building solutions using Generative AI, Agentic AI, Large Language Models (LLMs), and intelligent automation technologies
- Experience integrating frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI, or equivalent AI platforms
- Experience building AI-powered automation for incident investigation and root cause analysis
- Experience building AI-powered automation for operational intelligence and observability
- Experience building AI-powered automation for infrastructure lifecycle management
- Experience building AI-powered automation for engineering productivity and developer experience
- Experience designing APIs, services, and platforms that incorporate AI capabilities
- Strong experience with OCI, AWS, Azure, or multi-cloud environments
- Experience building cloud-native services using Kubernetes, Docker, and container orchestration platforms
- Strong understanding of cloud architecture, networking, security, compliance, and cost optimization
- Deep experience with Infrastructure as Code (IaC) using Terraform, Ansible, and related automation frameworks
- Experience building infrastructure automation, deployment tooling, and platform engineering solutions
- Experience building data-intensive applications and analytics platforms
- Knowledge of ETL pipelines and large-scale data processing frameworks
- Familiarity with data warehouse technologies such as Snowflake, Vertica, or equivalent platforms
- Understanding of distributed storage systems, columnar databases, and large-scale analytics architectures
- Strong understanding of SRE principles and operational excellence practices
- Experience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar technologies
- Experience analyzing production issues and implementing durable engineering solutions
- Knowledge of monitoring, alerting, reliability engineering, performance tuning, and self-healing systems
- 10+ years of hands-on software engineering experience designing, building, and operating large-scale distributed systems
- Proven experience delivering production software in cloud-native environments
- Strong track record of leading complex technical initiatives from architecture and design through deployment and operations
- Experience building platform services, developer tooling, infrastructure automation frameworks, or large-scale analytics platforms
- Large-scale distributed systems architecture and hands-on system design
- Software engineering with strong coding proficiency in Python, Java, and/or Go
- Cloud-native application development and microservices architecture
- Infrastructure as Code (Terraform, Ansible) and automation engineering
- Platform engineering and developer productivity tooling
- Large-scale data processing and analytics systems
- Performance optimization, scalability, resiliency, and reliability engineering
- AI-powered platforms, intelligent automation, and agent-based system development
- Experience building AI-powered software products, engineering platforms, or operational tooling
- Experience integrating LLMs, agent frameworks, RAG architectures, and intelligent automation systems into production environments
- Understanding of emerging AI engineering patterns and practical applications within software engineering, infrastructure, and operations
- Technical 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 platforms
Benefits
- May be eligible for bonus and equity.
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- 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.
- 11 paid holidays
- 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.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
Company Overview