Design and develop cloud-connected IoT software and embedded/edge components, build services for device onboarding, telemetry ingestion, device management, and command/control workflows, lead technical design and architecture reviews, mentor and train other engineers.
Responsibilities
Design and develop cloud-connected IoT software and embedded/edge components
Build services for device onboarding, telemetry ingestion, device management, and command/control workflows
Develop distributed, real-time communication components integrating Edge, HTTPS, and REST APIs
Own successful implementation and delivery of software products and components throughout the product lifecycle
Assure proper technical requirement definition with internal and external customers
Requirements
BS in Computer Science, Computer Engineering, or equivalent
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.
En tant que Platform Engineer, vous serez au cœur de l'automatisation, de l'industrialisation et de l'administration de l'infrastructure, notamment Kubernetes.
Responsibilities
Administrer, faire évoluer et maintenir l'environnement conteneurisé, avec une forte expertise sur Kubernetes et idéalement OpenShift.
Configurer, utiliser et implémenter les composants techniques des pipelines de CI/CD en utilisant des outils comme GitLab (maîtrise de Git et du concept GitOps) et ArgoCD.
Contribuer à l'administration des systèmes RedHat/Linux et mettre en œuvre l'automatisation via Ansible.
Réaliser la MCO applicative et système (patch management, montées de version...).
Administrer et exploiter les outils de monitoring (Centreon, Grafana, Dynatrace...).
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
Translate business and technology requirements for new functionality/venues/upgrades into technical changes within the low-latency trading stack.
Responsibilities
translate business and technology requirements for new functionality / venues / upgrades into technical changes within the low-latency trading stack
coordinate/manage technical changes with internal and external teams including vendors, stock exchanges, carriers and clients
work with aligned network and infrastructure teams to help make key decisions on the design of the network architecture based on application requirements
partner with production services team to provide third-level, platinum support for our clients
build relationships and communicate effectively with colleagues in all regions throughout APAC
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
The role is a Senior Automation Test Engineer focused on designing, building, and maintaining automated test suites for a consumer data-processing platform involving Angular, Spring Boot, and Oracle.
Responsibilities
Design and maintain Playwright E2E test suites for Angular screens, covering navigation, forms, grids, filters, exports, and button-driven actions.
Build page objects, screen orchestrators, and centralized locator libraries so tests stay maintainable as screens change.
Maintain legacy Selenium WebDriver regression and smoke suites, and plan their migration to Playwright.
Validate role-based access and LDAP-protected screens across environments.
Write and review Jest unit tests for Angular components and services, using MSW (Mock Service Worker) to mock backend APIs.
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