Principal Platform Software Engineer☆

What You’ll Do

• Design, develop, test, deploy, and operate cloud-native services and platform components for AI, data, and enterprise-cloud use cases.

• Work closely with product management and customer stakeholders to understand requirements, validate assumptions, and rapidly iterate on customer-facing capabilities.

• Build customer-focused functionality that can be generalized into reusable, configurable OCI platform services.

• Develop scalable distributed systems, APIs, data pipelines, service integrations, and automation.

• Contribute to architecture and design decisions for reliability, performance, availability, security, and operational readiness.

• Implement observability through telemetry, metrics, dashboards, alerts, logging, and health checks.

• Design and execute unit, integration, performance, load, and resilience tests.

• Diagnose and resolve production issues; participate in incident response, root-cause analysis, and on-call support as needed.

• Automate service provisioning, deployment, configuration, upgrades, rollback, and operational workflows through CI/CD and infrastructure-as-code practices.

• Apply secure engineering practices, including least-privilege access, encryption, secure data handling, and multi-tenant isolation.

• Collaborate effectively across product, engineering, operations, security, and customer teams.

• Contribute to design reviews, code reviews, engineering standards, documentation, and mentoring of less-experienced engineers.

What You’ll Bring

• 6+ years of professional software-development experience building and operating production services or platform capabilities.

• Strong programming experience in one or more languages such as Java, Go, Python, C++, C#, or similar.

• Experience building distributed systems, backend services, cloud-native applications, or large-scale data-processing systems.

• Ability to independently own moderately complex components or features from technical design through production operation.

• Ability to work effectively in a fast-moving environment, manage shifting priorities, and make sound engineering decisions with incomplete information.

• Strong collaboration and communication skills, including experience working closely with product managers, customers, or partner engineering teams.

• Hands-on experience in at least one of the following areas:

• Data platforms or data engineering, including ingestion, storage, processing, streaming, orchestration, or governance

• IoT platforms, device connectivity, edge-to-cloud systems, telemetry, or fleet-scale operations

• AI/ML platforms, model training, model evaluation or harnesses, model serving, RAG, AI agents, or Model Context Protocol (MCP)

• Familiarity with cloud infrastructure, APIs, containers, CI/CD, infrastructure-as-code, observability, and service operations.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.

Responsibilities

Software Development & System Design

• Implement well-designed, maintainable, and performant software components for cloud and AI platform services.

• Contribute to designs for scalable and resilient distributed systems.

• Build services that support elasticity, high throughput, fault tolerance, and secure handling of customer data.

• Participate in design reviews and propose practical solutions to technical and operational challenges.

Customer-Focused Delivery

• Work with product management and customer-facing teams to understand workflows, technical needs, and feedback.

• Translate customer scenarios into implementable technical requirements and high-quality product capabilities.

• Help rapidly assess feedback and contribute recommendations for feature refinement, prioritization, and next steps.

• Maintain focus on both immediate customer outcomes and reusable platform design.