Principal Platform Software Engineer

hackajob is collaborating with Oracle to connect them with exceptional professionals for this role.

Description

Join Oracles 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.

Responsibilities

Software Engineering

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

Distributed Systems & Platform Engineering

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

AI-Native Engineering

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

Cloud & Platform Technologies

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

Data Engineering

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

Reliability Engineering

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

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 investigation

Root cause analysis

Infrastructure automation

Operational 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

What You Bring

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

Core Technical Expertise

Distributed systems design

Cloud-native application development

Platform engineering and developer tooling

Large-scale data processing systems

Performance optimization and scalability

AI-Native Experience

Experience building AI-powered software products or developer platforms

Experience integrating LLMs, agent frameworks, or intelligent automation systems into production environments

Understanding of emerging AI engineering patterns and operational applications

Technical Skills

Java, Go, Python, or similar languages

Kubernetes, Docker

Terraform

CI/CD platforms

Prometheus, Grafana, OpenTelemetry

Cloud platforms (OCI preferred)

Qualifications

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 only

US: 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 Oracles 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 opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. 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 holidays

10. 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 leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The 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