Senior Platform Software Engineer

Summary

Oracle provides cloud infrastructure and AI capabilities for enterprises through Oracle Cloud Infrastructure (OCI). The Senior Platform Software Engineer will build and operate AI and cloud platform services, including backend components, APIs, data-processing systems, automation, testing, observability, and operational tooling. The role also involves translating customer needs into reusable platform features and supporting reliability, security, and iterative product delivery.

Responsibilities

• Design, develop, test, and maintain software components for AI and cloud platform services
• Implement backend services, APIs, integrations, automation, data-processing components, and operational tooling
• Work with engineers and product managers to understand requirements and translate customer scenarios into software features
• Contribute to rapid iteration by investigating customer feedback, troubleshooting issues, and improving product functionality
• Write clean, maintainable, secure, and well-tested code following established engineering practices
• Build unit, integration, and functional tests; participate in performance and resilience testing
• Add logging, metrics, telemetry, health checks, and alerts to improve service observability
• Help investigate, debug, and resolve service issues in development and production environments
• Participate in code reviews, design discussions, documentation, and engineering-planning activities
• Automate repeatable operational tasks, deployment workflows, configuration, and testing
• Learn and apply OCI standards for reliability, security, availability, and operational readiness
• Implement features and services from defined technical requirements and designs
• Develop maintainable code, APIs, integrations, and automated tests
• Debug defects and improve performance, reliability, and usability of owned components
• Participate in code reviews and apply feedback to improve technical quality
• Support the team in understanding customer workflows and technical requirements
• Help turn customer feedback into actionable engineering tasks and product improvements
• Contribute to fast, iterative delivery while maintaining quality and engineering discipline
• Learn the domain and help identify opportunities to make solutions more reusable across customers
• Add monitoring, logging, and telemetry to owned components
• Assist with service troubleshooting, incident investigation, and root-cause analysis
• Follow operational procedures and contribute to runbooks and support documentation
• Help improve automation for deployments, testing, and routine operational tasks
• Follow secure-development practices and OCI engineering standards
• Work effectively with engineers, product managers, operations, security, and customer-facing teams
• Communicate progress, risks, and technical questions clearly and promptly
• Pursue ongoing learning in cloud, data, IoT, and AI technologies

Skills

• Applicants are required to read, write, and speak the following languages: English
• 3+ years of professional software-development experience, including experience delivering production software or services
• Strong programming skills in one or more languages such as Java, Go, Python, C++, C#, or similar
• Experience developing backend applications, distributed-system components, cloud-native services, or data-processing applications
• Ability to independently deliver well-scoped features and components, with guidance on broader technical design and prioritization
• Experience working collaboratively in an Agile or iterative software-development environment
• Curiosity and willingness to learn rapidly from customers, product managers, and senior engineers
• Exposure to one or more of the following areas:
• Data engineering or data platforms, including ingestion, processing, storage, or pipelines
• IoT, device connectivity, telemetry, or edge-to-cloud systems
• AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP
• Familiarity with REST APIs, source control, code review, automated testing, CI/CD, containers, or cloud services
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
• Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform
• Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures
• Exposure to generative AI, RAG, AI agents, MCP, or enterprise AI integrations
• Experience supporting enterprise applications, scientific/research workloads, IoT systems, or internal platform services

Qualifications

Must Haves

• Applicants are required to read, write, and speak the following languages: English
• 3+ years of professional software-development experience, including experience delivering production software or services
• Strong programming skills in one or more languages such as Java, Go, Python, C++, C#, or similar
• Experience developing backend applications, distributed-system components, cloud-native services, or data-processing applications
• Ability to independently deliver well-scoped features and components, with guidance on broader technical design and prioritization
• Experience working collaboratively in an Agile or iterative software-development environment
• Curiosity and willingness to learn rapidly from customers, product managers, and senior engineers
• Exposure to one or more of the following areas:
• Data engineering or data platforms, including ingestion, processing, storage, or pipelines
• IoT, device connectivity, telemetry, or edge-to-cloud systems
• AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP
• Familiarity with REST APIs, source control, code review, automated testing, CI/CD, containers, or cloud services
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience

Nice to Haves

• Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform
• Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures
• Exposure to generative AI, RAG, AI agents, MCP, or enterprise AI integrations
• Experience supporting enterprise applications, scientific/research workloads, IoT systems, or internal platform services

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
• Volunteer programs