{"id":3938166,"url":"https://alion.io/job/oracle-lead-principal-platform-software-engineer-74","title":"Lead Principal 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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Nashville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":113600,"max":306400,"currency":"USD","period":"year","gross":null,"usd_annual":306400},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LIMS","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"MQTT","optional":true},{"name":"OPC UA","optional":true},{"name":"RAG","optional":true},{"name":"ROS","optional":true}],"status":"live","first_seen_at":"2026-10-29T20:39:26Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-08T15:26:59Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Join Oracle’s AI and Robotics team to define and build software platforms that bring together scientific workflows, AI, robotics, and laboratory automation in support of the Ellison Institute of Technology (EIT).\nWithin Oracle Cloud Infrastructure (OCI), we are developing shared cloud services, integration frameworks, execution infrastructure, and developer tools for AI-enabled life sciences laboratories. These capabilities help scientists and application teams develop and operate automated workflows across diverse robots, scientific instruments, and laboratory equipment.\nWe are seeking a Lead Principal Software Engineer to set long-term technical direction for the Robotics Automation Platform. You will lead architecture and technical delivery across services and teams, translating emerging customer requirements into reusable platform capabilities.\nThis is a hands-on individual contributor role combining architectural leadership with substantial implementation responsibility. You will guide principal and senior engineers, personally build foundational capabilities, and resolve complex issues across distributed services, AI infrastructure, and equipment integration.\nBased in Nashville, you will collaborate closely with engineering teams in the United Kingdom and India Development Centre (IDC). UK-based colleagues will support physical equipment integration and laboratory validation, working with you on platform interfaces, simulation, diagnostics, and system verification.\nWe welcome experience across cloud platforms, distributed systems, AI infrastructure, robotics, industrial automation, and scientific software. Previous laboratory automation experience is valuable but is not essential.\nWhat You’ll Do\nDefine platform architecture and service boundaries across laboratory workflow orchestration, resource management, robotic fleet coordination, device integration, and local execution.\nLead technical delivery of foundational cloud services, APIs, SDKs, integration frameworks, and developer tools.\n\nEstablish reusable equipment capability models, adapter contracts, and secure interfaces between cloud services and laboratory systems.\n\nArchitect shared execution infrastructure covering state management, asynchronous operations, persistence, retries, idempotency, and recovery from partial failures.\n\nDefine infrastructure for agentic capabilities, including tool execution, context management, orchestration, evaluation, and human oversight.\n\nEstablish clear boundaries between AI-driven decisions, deterministic execution, equipment control, and independent physical safety systems.\n\nPersonally design, implement, test, and deploy critical platform components and reference implementations.\n\nPartner with product leaders, scientists, customers, and engineers to sequence investments and balance immediate customer needs with long-term platform reuse.\n\nResolve architectural dependencies and guide technical delivery across Nashville, UK, and IDC teams.\n\nMentor principal and senior engineers and establish consistent engineering practices across the platform.\n\nWhat You’ll Bring\n8+ years of professional software engineering experience, including sustained technical leadership for complex production platforms or distributed systems.\n\nDemonstrated architectural ownership across multiple services and teams, from ambiguous requirements through deployment and ongoing operation.\n\nDeep expertise in cloud-native distributed systems, service design, APIs, and integration frameworks.\n\nStrong, current programming skills in Python, Go, Java, C++, or similar languages, with evidence of personally delivering substantial production software.\n\nExperience building infrastructure for agentic systems, including tool integration, context and state management, orchestration, evaluation, human review, and failure recovery.\n\nStrong understanding of concurrency, asynchronous execution, message delivery, persistence, consistency, and recovery across distributed components.\n\nExperience defining secure interfaces, data models, service contracts, and engineering standards that allow teams to deliver compatible capabilities independently.\n\nAbility to resolve complex technical trade-offs across reliability, security, scalability, performance, cost, and delivery priorities.\n\nProven ability to influence cross-team decisions, mentor experienced engineers, and communicate technical strategy to technical and non-technical stakeholders.\n\nExperience collaborating across geographically distributed teams, with clear technical documentation and effective asynchronous communication.\n\nBachelor's degree in computer science, Robotics, Engineering, or a related discipline, or equivalent practical experience.\n\n Responsibilities\nSoftware Development and Platform Architecture\nOwn the technical architecture and evolution of shared platform capabilities across cloud services, execution infrastructure, equipment integration, and developer tooling.\n\nDefine modular architectures, versioned APIs, typed interfaces, compatibility expectations, and reference implementations.\n\nBuild critical services and resolve difficult implementation, integration, and performance problems.\n\nEstablish patterns for event-driven communication, equipment state representation, command execution, and recovery without unintended repetition of physical actions.\n\nDefine scientific data-ingestion and metadata interfaces that preserve experimental context, provenance, and traceability.\n\nLead cross-team design and code reviews, documenting decisions and ensuring clean, maintainable, secure, and well-tested implementations.\n\nEstablish AI-assisted development practices supported by rigorous review, testing, and validation.\n\nCustomer-Focused Delivery\nPartner with product managers, scientists, customers, and engineering leaders to understand workflows, constraints, and strategic requirements.\n\nTranslate customer scenarios into platform capabilities, technical roadmaps, acceptance criteria, and achievable delivery increments.\n\nValidate architectural assumptions through prototypes, customer feedback, and operational evidence.\n\nGuide the transition from pilot integrations to reusable capabilities supporting multiple laboratories, vendors, applications, and customers.\n\nCoordinate technical dependencies and integration milestones across UK, IDC, and US teams.\nEnable rapid iteration while maintaining engineering quality and clear ownership across service boundaries.\n\nTesting, Evaluation, and System Integration\nDefine verification strategies for spanning unit, integration, functional, performance, resilience, and system-level testing.\n\nEstablish simulation, equipment emulation, and hardware-in-the-loop integration frameworks with UK-based engineers responsible for physical laboratory testing.\n\nDefine acceptance criteria for equipment interfaces, execution semantics, fault recovery, and compatibility.\n\nEstablish evaluation infrastructure for AI-enabled capabilities, including tool correctness, context handling, execution validation, and human approval.\n\nEnsure platform designs respect equipment operating limits, interlocks, and safety boundaries defined by controls and safety specialists.\n\nLead investigations into failures spanning cloud services, communications, local execution, and equipment interfaces.\n\nReliability, Security, and Operations\nDefine service objectives and operational readiness expectations across availability, latency, resilience, capacity, and recovery.\n\nEstablish identity, access control, policy enforcement, secure communications, auditability, and data protection patterns.\n\nSupport production services through an on-call rotation that provides 24×7 response coverage for service incidents.\n\nDefine observability standards covering monitoring, logging, metrics, telemetry, health checks, and alerts.\n\nLead complex incident investigations, root-cause analysis, and corrective actions across service and team boundaries.\n\nFollow OCI standards for secure development, reliability, availability, privacy, and operational readiness.\n\nEstablish deployment automation, runbooks, support documentation, compatibility management, and recovery procedures.\n\nPreferred Qualifications\nExperience with OCI, AWS, Azure, Google Cloud, or another cloud platform.\n\nDeep experience with Kubernetes, Docker, microservices, distributed data systems, event-driven architectures, or workflow orchestration.\n\nExperience designing cloud-to-edge platforms, remote equipment management, or distributed orchestration of physical systems.\n\nExperience with robotics or industrial integration technologies such as ROS 2, DDS, MQTT, OPC UA, or vendor equipment SDKs.\n\nExperience with laboratory software platforms, electronic laboratory notebooks (ELN), laboratory information management systems (LIMS), SiLA 2, or instrument integration frameworks.\n\nExperience building simulation, hardware-in-the-loop testing, or evaluation infrastructure for robotics or AI-enabled systems.\n\nExperience with workflow engines, scheduling, planning, or shared-resource coordination.\n\nExperience with data engineering, scientific data pipelines, metadata management, data provenance, or data governance.\n\nExperience with AI/ML platforms, model training, model serving, retrieval-augmented generation (RAG), evaluation harnesses, AI agents, Model Context Protocol (MCP), or enterprise AI integrations.\n\nExperience supporting scientific, research, life-sciences, or enterprise platform workloads.\n\nExperience evolving customer pilots into extensible platform offerings and driving adoption across multiple teams or customers.\n\nLocation\nNashville, Tennessee, United States. This is a fully on-site position at Oracle’s Nashville office.\nYou will collaborate closely with UK and IDC engineering teams through remote technical design, development, integration, and operational activities.\n 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.\nRange and benefit information provided in this posting are specific to the stated locations only\nUS: Hiring Range in USD from: $113,600 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.\nOracle 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 Oracle's differing products, industries and lines of business.\nCandidates are typically placed into the range based on the preceding factors as well as internal peer equity.\nOracle US offers a comprehensive benefits package which includes the following:\n1. Medical, dental, and vision insurance, including expert medical opinion\n2. Short term disability and long term disability\n3. Life insurance and AD&D\n4. Supplemental life insurance (Employee/Spouse/Child)\n5. Health care and dependent care Flexible Spending Accounts\n6. Pre-tax commuter and parking benefits\n7. 401(k) Savings and Investment Plan with company match\n8. 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.\n9. 11 paid holidays\n10. 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.\n11. Paid parental leave\n12. Adoption assistance\n13. Employee Stock Purchase Plan\n14. Financial planning and group legal\n15. 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