Principal Platform Software Engineer
Oracle
Principal Platform Software Engineer
Job Description
Oracle Cloud Infrastructure (OCI) delivers mission-critical cloud services for leading enterprises around the world. OCI provides hyper-scale, multi-tenant services across a global cloud footprint and continues to expand across dedicated, hybrid, multicloud, edge, data, and AI capabilities.We are seeking a Software Developer 4 to build and operate AI and cloud platform capabilities that support a strategic enterprise customer engagement. This role will work in a fast-paced environment where an initial solution is shaped around a large customer’s requirements and then evolved into a reusable OCI platform capability.You will partner closely with product management, customer engineering teams, and OCI engineers to translate evolving requirements into secure, scalable, and reliable software. The successful candidate is comfortable working through ambiguity, iterating quickly based on customer feedback, and balancing immediate delivery needs with long-term platform quality. What You’ll DoDesign, 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 Bring6+ 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 governanceIoT platforms, device connectivity, edge-to-cloud systems, telemetry, or fleet-scale operationsAI/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.ResponsibilitiesSoftware Development & System DesignImplement 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 DeliveryWork 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.Reliability & OperationsBuild telemetry, monitoring, alerting, and diagnostics for owned services.Investigate production issues, contribute to incident response, and implement corrective actions.Improve service reliability through testing, automation, capacity planning, and operational runbooks.Participate in operational support rotations as required.Security & AutomationImplement security controls appropriate for cloud and multi-tenant services.Build and maintain deployment, configuration, and operational automation.Follow established change-management, release, and rollback practices.Preferred QualificationsExperience with OCI or another major public-cloud platform.Experience with Kubernetes, microservices, event-driven systems, distributed data stores, or streaming platforms.Experience with generative AI, RAG, model evaluation, AI agents, MCP, or enterprise AI integrations.Experience with scientific, research, laboratory, IoT, or complex enterprise technology environments.Experience supporting mission-critical services with defined availability, reliability, and performance objectives. Career Level - IC4
Locations
- United Kingdom
Skills Required
- and operating production servicesintermediate
- oneintermediate
- distributed systemsintermediate
- at least one of the following areasintermediate
- cloud infrastructureintermediate
- OCIintermediate
- Kubernetesintermediate
- generative AIintermediate
- scientificintermediate
Required Qualifications
- 6+ years of professional software-development experience building and operating production services or platform capabilities. (experience, 6 years)
- 6+ years of professional software-development experience building and operating production services or platform capabilities. (experience, 6 years)
- Strong programming experience in one or more languages such as Java, Go, Python, C++, C#, or similar. (experience)
- Strong programming experience in one or more languages such as Java, Go, Python, C++, C#, or similar. (experience)
- Experience building distributed systems, backend services, cloud-native applications, or large-scale data-processing systems. (experience)
- Experience building distributed systems, backend services, cloud-native applications, or large-scale data-processing systems. (experience)
- Ability to independently own moderately complex components or features from technical design through production operation. (experience)
- Ability to independently own moderately complex components or features from technical design through production operation. (experience)
- Ability to work effectively in a fast-moving environment, manage shifting priorities, and make sound engineering decisions with incomplete information. (experience)
- Ability to work effectively in a fast-moving environment, manage shifting priorities, and make sound engineering decisions with incomplete information. (experience)
- Strong collaboration and communication skills, including experience working closely with product managers, customers, or partner engineering teams. (experience)
- Strong collaboration and communication skills, including experience working closely with product managers, customers, or partner engineering teams. (experience)
- Hands-on experience in at least one of the following areas: (experience)
- Hands-on experience in at least one of the following areas: (experience)
- Data platforms or data engineering, including ingestion, storage, processing, streaming, orchestration, or governance (experience)
- Data platforms or data engineering, including ingestion, storage, processing, streaming, orchestration, or governance (experience)
- IoT platforms, device connectivity, edge-to-cloud systems, telemetry, or fleet-scale operations (experience)
- IoT platforms, device connectivity, edge-to-cloud systems, telemetry, or fleet-scale operations (experience)
- AI/ML platforms, model training, model evaluation or harnesses, model serving, RAG, AI agents, or Model Context Protocol (MCP) (experience)
- AI/ML platforms, model training, model evaluation or harnesses, model serving, RAG, AI agents, or Model Context Protocol (MCP) (experience)
- Familiarity with cloud infrastructure, APIs, containers, CI/CD, infrastructure-as-code, observability, and service operations. (experience)
- Familiarity with cloud infrastructure, APIs, containers, CI/CD, infrastructure-as-code, observability, and service operations. (experience)
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. (experience)
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. (experience)
Preferred Qualifications
- Experience with OCI or another major public-cloud platform. (experience)
- Experience with OCI or another major public-cloud platform. (experience)
- Experience with Kubernetes, microservices, event-driven systems, distributed data stores, or streaming platforms. (experience)
- Experience with Kubernetes, microservices, event-driven systems, distributed data stores, or streaming platforms. (experience)
- Experience with generative AI, RAG, model evaluation, AI agents, MCP, or enterprise AI integrations. (experience)
- Experience with generative AI, RAG, model evaluation, AI agents, MCP, or enterprise AI integrations. (experience)
- Experience with scientific, research, laboratory, IoT, or complex enterprise technology environments. (experience)
- Experience with scientific, research, laboratory, IoT, or complex enterprise technology environments. (experience)
- Experience supporting mission-critical services with defined availability, reliability, and performance objectives. (experience)
- Experience supporting mission-critical services with defined availability, reliability, and performance objectives. (experience)
Responsibilities
- Design, develop, test, deploy, and operate cloud-native services and platform components for AI, data, and enterprise-cloud use cases.
- 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.
- 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.
- 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.
- 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.
- 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.
- Implement observability through telemetry, metrics, dashboards, alerts, logging, and health checks.
- Design and execute unit, integration, performance, load, and resilience tests.
- 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.
- 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.
- 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.
- 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.
- 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.
- Contribute to design reviews, code reviews, engineering standards, documentation, and mentoring of less-experienced engineers.
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