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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Platform Software Engineer - **Company:** Oracle - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Code Review, Computer Programming, Continuous Integration, Customer Data Management, Information Engineering, Data Security, Distributed Data Store, Distributed Systems, Fault Tolerance, Python (Programming Language), Azure Machine Learning, Software Engineering, Data Streaming, System Software, Data Logging, Cloud Platform System, Spring Cloud, Model Validation, Generative AI, Backend, Event Driven Architecture, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Management, Machine Learning Operations, Oracle Cloud Infrastructure, Data Pipelines, Serverless Computing, Golang, Microservices - **Published:** August 24, 2026 - **Apply:** https://eeho.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/requisitions/preview/343489 ## About the Role * 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., * Experience 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. ## Description * 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., 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. Reliability & Operations * Build 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 & Automation * Implement 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Platform Engineering vs. DevOps Why not both?](https://www.wearedevelopers.com/videos/885-platform-engineering-vs-devops-why-not-both) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)