Principal Platform Software Engineer

Oracle is a leading company in AI and cloud solutions, and they are seeking a Principal Platform Software Engineer to join their Health Data Intelligence team. In this role, you will design and build cloud-native platforms and intelligent automation solutions for large-scale healthcare analytics, collaborating with various teams to enhance system resilience and developer productivity.

Responsibilities:

• 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
• Develop AI-powered tools and platforms that automate operational and engineering workflows
• Build agent-based systems for:
• Incident investigation
• Root cause analysis
• Infrastructure automation
• Operational intelligence
• Design software that enables self-service infrastructure and autonomous platform operations
• 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
• 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
• 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
• 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

Requirements:

• 10+ years of software engineering experience building large-scale distributed systems
• Strong track record of delivering production software in cloud environments
• Experience developing cloud-native services, platforms, or infrastructure software
• Proven ability to lead complex technical initiatives from design through deployment
• Strong software development experience in Java, Python, Go, or similar languages
• Experience designing, building, and maintaining large-scale distributed systems
• Strong understanding of software architecture, design patterns, and system design principles
• Experience developing cloud-native applications and microservices
• Ability to write high-quality, maintainable, and testable production code
• Experience building highly available, fault-tolerant systems
• Strong understanding of scalability, performance optimization, concurrency, and resiliency patterns
• Experience developing platform services, shared frameworks, or developer tooling
• Knowledge of event-driven architectures and service-oriented systems
• Experience building software solutions leveraging Generative AI, Agentic AI, or LLM technologies
• Experience integrating frameworks such as LangChain, AutoGen, CrewAI, or custom AI agents
• Ability to develop AI-powered automation for: Incident analysis, Operational workflows, Infrastructure lifecycle management, Intelligent observability
• Experience designing APIs and services that incorporate AI capabilities
• Strong experience with OCI, AWS, Azure, or multi-cloud environments
• Experience building cloud-native services using Kubernetes and container technologies
• Knowledge of cloud architecture, networking, security, and resource optimization
• Experience with Infrastructure as Code using Terraform or similar technologies
• 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 and columnar database architectures
• Understanding of SRE principles and operational excellence practices
• Experience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar tools
• Experience analyzing production issues and implementing durable software fixes
• Knowledge of reliability patterns, monitoring, alerting, and performance engineering
• 11 years of experience in software development OR Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 7 years of experience in software development OR Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 7 years of experience in software development OR Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 year of experience in software development
• Data Analysis: Demonstrated ability to analyze and interpret data to produce actionable business insights
• Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery
• Automation: Demonstrated ability in or knowledge of automation, including designing, implementing, and managing automated tools, processes, or systems to streamline operations
• Compliance: Demonstrated knowledge of and adherence to regulatory, legal, and organizational compliance requirements
• Quality Assurance: Demonstrated ability in or knowledge of quality assurance, including ensuring adherence to standards and implementing quality control measures
• Scripting Languages: Demonstrated ability in or knowledge of scripting languages, including writing and maintaining scripts to improve system efficiency
• Software Test Plans: Demonstrated ability to develop and execute effective software test plans to validate product quality
• User Experience Development: Demonstrated ability in or knowledge of user experience development, including designing intuitive and effective user interfaces and content
• Code Review: Demonstrated ability to conduct in-depth code reviews for software quality assurance
• Embedded Systems: Demonstrated ability to develop embedded systems, balancing hardware and software for optimal performance
• Software Estimation: Demonstrated ability to provide accurate software effort and complexity estimates for project planning and scheduling
• 6 years of experience with programming and/or scripting languages (e.g., SQL, C/C++, JavaScript)
• 4 years of experience with databases
• 1 year of experience working with operating budgets and/or project financials
• 3 years of experience with cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud)