1 day ago
Base Salary
$105k - $235k/yr
Responsibilities
- Own the technical design and delivery of Molecular Platform services, APIs, data pipelines, workflow capabilities, integrations, and operational tooling.
- Build scalable, secure, reliable, and multi-tenant cloud services for scientific and enterprise data, including ingestion, normalization, metadata, processing, workflow execution, and lifecycle management.
- Translate ambiguous customer workflows and product needs into technical designs, delivery plans, and reusable platform capabilities.
- Establish identity and access controls, tenant isolation, auditability, data protection, observability, telemetry, alerts, runbooks, and failure-handling practices.
- Deliver production-quality services, integrations, data-processing components, and automated tests while resolving complex design, performance, reliability, and integration issues.
- Lead design and code reviews, mentor engineers, raise engineering standards, and provide technical guidance.
- Partner with product managers and strategic customers to investigate feedback, manage technical risks, and improve platform capabilities.
- Support significant service-issue investigations and drive durable corrective actions.
Requirements
- 6+ years of professional software-development experience building and operating production services or platform capabilities.
- Strong programming experience in one or more of Java, Go, Python, C++, C#, or a similar language.
- Experience with 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.
- Hands-on experience with data platforms or data engineering, IoT and edge-to-cloud systems, AI/ML platforms, or related platform areas.
- Familiarity with cloud infrastructure, APIs, containers, CI/CD, infrastructure-as-code, observability, and service operations.
- Experience with OCI, AWS, Azure, Google Cloud, Kubernetes, Docker, microservices, distributed data systems, event-driven architecture, or service orchestration is preferred.
- Experience with scientific or life-sciences data platforms, laboratory informatics, research workflows, regulated data, data governance, metadata and lineage, privacy controls, or enterprise AI integrations is preferred.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong collaboration and communication skills, including experience working with product managers, customers, or partner engineering teams.
Benefits
- Medical, dental, and vision insurance; disability and life insurance; flexible spending accounts; commuter and parking benefits; 401(k) with company match; paid vacation, holidays, sick leave, parental leave, and adoption assistance.
- Employee Stock Purchase Plan, financial planning, group legal benefits, and voluntary auto, homeowner, and pet insurance.
- US hiring range is $104,500 to $234,600 per annum, with possible bonus, equity, and compensation deferral.
- US-based employees must complete identity verification involving collection and processing of biometric information, subject to legally applicable accommodations.
Categories
BackendData Engineering
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.