{"id":3938057,"url":"https://alion.io/job/oracle-senior-platform-software-engineer-141","title":"Senior Platform Software Engineer","company":{"id":53,"name":"Oracle","domain":"oracle.com","url":"https://alion.io/company/oracle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":367,"ghost_share":0,"stale_share":0.627,"repost_share":0.008,"time_to_fill_p50_days":10,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reading, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-11-06T19:53:34Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T10:27:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"You will develop production-quality components while building depth in cloud platforms, distributed data systems, scientific workflows, and AI-enabled services. You will combine strong software engineering skills with a practical understanding of bioinformatics or computational science across areas such as genomics, plant biology, or generative biology.\nYou are expected to work at Oracle’s London or Reading offices 4 days a week for this role. The role will also require you to frequently travel to Oxford.\nWhat You’ll Do \nDesign, develop, test, and maintain software components for cloud platform services.\n\nImplement backend services, APIs, data-ingestion and processing components, workflow integrations, automation, and operational tooling.\n\nWork with other engineers and product managers to understand requirements and translate customer scenarios into well-defined software features.\n\nContribute to rapid iteration by investigating customer feedback, troubleshooting issues, and improving product functionality.\n\nWrite clean, maintainable, secure, and well-tested code using established OCI engineering practices.\n\nBuild unit, integration, and functional tests; participate in performance and resilience testing.\n\nAdd logging, metrics, telemetry, health checks, and alerts to improve service observability.\n\nHelp investigate, debug, and resolve service issues in development and production environments.\n\nParticipate in code reviews, design discussions, documentation, and engineering-planning activities.\n\nAutomate repeatable tasks related to deployment, configuration, testing, and service operations.\n\nWhat You’ll Bring \n3+ years of professional software development experience, including experience delivering production software or services.\n\nDomain awareness of bioinformatics or computational life sciences, such as genetics, genomics, plant biology, or generative biology.\n\nUnderstanding of scientific computing workflows and the challenges associated with large datasets, reproducibility, metadata, provenance, and compute resource requirements\n\nStrong programming skills in one or more languages such as Java, Go, or Python.\n\nExperience developing backend applications, cloud-native services, distributed-system components, data-processing applications, or workflow systems.\n\nAbility to independently deliver well-scoped features and components, with guidance on broader technical design and prioritization.\n\nExperience working collaboratively in an Agile or iterative software-development environment.\n\nCuriosity and willingness to learn rapidly from customers, product managers, applied scientists, and senior engineers.\n\nFamiliarity with REST APIs, source control, code review, automated testing, CI/CD, containers, and cloud services.\n\nBachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.\n\nResponsibilities \nSoftware Development\nImplement features and services from defined requirements and technical designs.\n\nDevelop maintainable code, APIs, data-processing components, integrations, and automated tests.\n\nDebug defects and improve the performance, reliability, and usability of owned components.\n\nParticipate in code reviews and apply feedback to improve technical quality.\n\nCustomer-Focused Delivery\nSupport the team in understanding customer workflows, technical requirements, and feedback.\n\nHelp translate feedback into actionable engineering tasks and product improvements.\n\nContribute to fast, iterative delivery while maintaining engineering discipline and quality.\n\nLearn the scientific and technical domain and identify opportunities to make solutions reusable across customers.\n\nReliability, Security, and Operations\nSupport production services as part of an on-call rotation assuring 24x7 response to service incidents.\n\nAdd monitoring, logging, and telemetry to owned components.\n\nAssist with service troubleshooting, incident investigation, and root-cause analysis.\n\nFollow secure-development practices and OCI standards for reliability, availability, privacy, and operational readiness.\n\nContribute to runbooks, support documentation, and automation for deployments, testing, and routine operations.\n\nPreferred Qualifications\nKnowledge of high-performance computing, Linux environments, batch scheduling, and resource management, particularly Slurm.\n\nExperience supporting scientific pipelines that use CPU or GPU compute, shared or parallel storage, and large-scale data movement.\n\nExperience with Nextflowand the Seqeraplatform, or other established scientific workflow systems such as Snakemake, Cromwell/WDL, or CWL-based platforms\n\nFamiliarity with common biological data formats, analysis pipelines, and the operational needs of research users.\n\nExperience with OCI, AWS, Azure, Google Cloud, or another cloud platform.\n\nExperience with Kubernetes, Docker, microservices, distributed data systems, event-driven architectures, or workflow orchestration.\n\nExposure to data engineering, data platforms, scientific data, data pipelines, metadata management, or data governance.\n\nExposure to AI/ML platforms, model training, model-serving systems, RAG, evaluation harnesses, AI agents, MCP, or enterprise AI integrations.\n\nExperience supporting scientific, research, life-sciences, or enterprise platform 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