Design, implement, and manage scalable CI/CD pipelines to streamline software delivery and enhance deployment frequency.
Orchestrate containerized applications using Docker and Kubernetes (K8s) to ensure consistent environments across development, testing, and production.
Administer and optimize Linux-based server environments, ensuring high availability, security, and performance.
Configure and maintain AWS cloud infrastructure, including networking components, compute resources, and storage solutions.
Utilize Jenkins and GitLab CI tools to automate build, test, and release processes, reducing manual intervention and human error.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Build and operate massive-scale cloud services leveraging state of art machine learning technologies in Oracle Cloud Infrastructure Generative AI Service team.
Compensation
US: Hiring Range in USD from: $105,900 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Design and build distributed, scalable, high-performance AI model training and serving systems
Optimize model performance and scalability
Deploy solutions into production in business-critical scenarios
Diagnose, troubleshoot and resolve issues in AI model training and serving
Requirements
BS in Computer Science
Nice to have: MS in Computer Science
Nice to have: cloud computing production experience
Internship in bioinformatics focusing on software development, data analytics, machine learning, and AI-powered scientific applications.
Compensation
The expected salary range for this position based on the primary location of California is $45.00-$52.00 per hour.
Responsibilities
Design and implement software tools and ML/AI algorithms for molecular clinical assay development
Develop dynamic scientific visualizations and interactive data exploration tools
Create computational tools, statistical workflows, and automated data processing pipelines
Explore and integrate large language models and AI-driven tools for scientific decision-making
Apply software engineering best practices, version control, and performance optimization
Requirements
Bachelor's Degree in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, Software Engineering, or related disciplines
Responsible for supporting and maintaining critical applications and related data processing platforms and services. Ensure the team has the facilities, tools, resources and skills they need to deliver on commitments while tracking ongoing execution and delivery of Application Operations delivery SLAs.
Locations (2)
Evendale, Ohio, United States
United Kingdom
Compensation
The base pay range for this position is $131,000 - $174,000 annually. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan.
Responsibilities
Serve as the senior technical operations authority across engineering application pods for US and UK users
Define, track, and improve operational KPIs and SLAs, and communicate status, risks, and trends to users and leadership
Drive consistent incident, problem, and change management across pods; lead resolution of high-severity escalations and root cause analysis
Perform hands‑on Linux and Windows server administration across development, test, and production environments
A backend engineering role focused on the EUDR engineering team, working on systems that ingest customer-submitted farm lists, validate/transform inputs, and run them against deforestation detection models and geospatial datasets.
Compensation
base salary... between $135,000 and $155,000 annually
Responsibilities
Backend feature development and maintenance
Implement improvements to EUDR backend services
Refine geospatial workflows
Strengthen data checks and error handling
Investigative problem-solving: trace through data, assumptions, and system behavior
Requirements
Bachelor’s degree in computer science or equivalent training
Lead architect and operator of the data layer for a vertically integrated AI cloud, managing worldwide storage environment and influencing vendor roadmaps.
Compensation
Compensation will be paid in the range of up to $215,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers.
Responsibilities
Evaluate performance of block, file, and object storage systems
Design and execute PoC exercises
Own bring-up, configuration, and performance tuning of large enterprise arrays
Collaborate with Compute and Networking teams to build cloud infrastructure
Lead technical evaluation of new storage technologies
Lead design, deployment, and management of Azure-based cloud solutions for Veterans Affairs, ensuring security, compliance, and operational excellence.
Compensation
Salary Range: $109,623 - $126,790
Responsibilities
Create data flow, cloud, transition, and high-level architecture diagrams
Design, develop, deploy, and operate CI/CD automation technologies
Manage cloud permissions and access controls
Implement monitoring and performance optimization
Provide customer-focused support for VA Enterprise Cloud environments
Requirements
Bachelor’s degree in Computer Science, Systems Engineering, Cloud Engineering or related technical discipline
Lead design, deployment, and management of Azure-based cloud solutions for the Veterans Affairs Enterprise Cloud, ensuring security, compliance, and operational excellence.
Compensation
Salary Range: $109,623 - $126,790
Responsibilities
Create data flow and architecture diagrams for cloud infrastructure
Design, develop, deploy, and operate CI/CD automation
Manage cloud permissions and security controls
Implement monitoring and observability for cloud systems
Provide support for VA Enterprise Cloud environments
Requirements
Bachelor’s degree in Computer Science, Systems Engineering, Cloud Engineering or related technical discipline
Master’s degree in same fields
Nice to have: EDIFECS experience
Nice to have: Microsoft Certified: DevOps Engineer Expert
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