The Senior Cloud Software Development Engineer will lead the architecture, development, and delivery of cloud-native, AI-enabled software platforms for the 5G Wireless Core engineering organization.
Compensation
Annual Salary Range for this job which could be performed in Ireland is: 76,000.00 € - €142,100.00
Responsibilities
Architect and develop cloud-native software platforms that enable customers to integrate, deploy, and operationalize AI-powered solutions within 5G Wireless Core environments.
Lead the design and implementation of scalable distributed software services and Kubernetes-based applications that combine AI/ML technologies, large language models, and cloud-native telecommunications platforms to solve customer and business challenges.
Partner with Solution Architects, Business Development Engineers, customers, and ecosystem partners to define technical strategies and translate business requirements into innovative software solutions.
Drive technical strategy, architecture decisions, and solution direction across multiple software initiatives.
Work closely with sales, business development, and customer engineering teams to identify opportunities where AI-enabled solutions can accelerate adoption of Intel technologies.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline
Nice to have: Master's or PhD in Computer Science, Electrical Engineering, Telecommunications, Artificial Intelligence
Nice to have: 3GPP-defined 5G Core network functions
Nice to have: cloud-native network function (CNF) architectures
Liderar la implementación de soluciones en la nube utilizando AWS. Diseñar y generar estrategias para la construcción de aplicaciones nativas de nube en AWS.
Responsibilities
Liderar la implementación de soluciones en la nube utilizando AWS
Diseñar y generar estrategias para la construcción de aplicaciones nativas de nube en AWS basadas en el WAF de AWS
Asegurar la eficiencia y el rendimiento de los componentes nativos de nube considerando la seguridad y costos
Establecer prácticas, patrones y estándares para los equipos de desarrollo en la nube para asegurar una integración eficiente de la arquitectura en AWS
Proveer soporte y experiencia a los equipos de desarrollo en temas relacionados a la nube de AWS
Seeking an experienced Lead Software Engineer to provide hands-on technical leadership across the software development lifecycle, leading solution design, architecture, and engineering best practices while mentoring engineers.
Compensation
Pay Range: $126,820.00 - $149,200.00
Responsibilities
Lead the design, development, testing, deployment, and production support of enterprise software solutions.
Provide hands-on technical leadership across architecture, solution design, coding standards, and engineering best practices.
Design and build scalable, secure, reliable, and high-performance applications and platforms.
Develop and evolve APIs, SDKs, microservices, and integration solutions, ensuring compatibility, scalability, and maintainability.
Write production-ready code and conduct code reviews to maintain quality, security, performance, and engineering standards.
In this role, you will validate end-to-end functionality across microservices, web applications, industrial integrations, real-time data pipelines, and cloud-native environments, establishing quality standards and automating testing activities.
Responsibilities
Design, develop, and execute functional, integration, system, and regression test scenarios.
Validate business processes related to pump testing, data acquisition, calculations, and reporting.
Verify end-to-end workflows across frontend, backend, database, and integration components.
Ensure traceability between requirements, test cases, and defects.
Conducting comprehensive penetration tests and leading assumed-breach red team operations across cloud-native applications and large-scale infrastructure using AI-assisted testing frameworks.
Responsibilities
Conduct comprehensive penetration tests across cloud-native applications, large-scale infrastructure, and complex network architectures.
Execute multi-tenant isolation testing and segmentation validation.
Identify, exploit, and document vulnerabilities in cloud services, container orchestration platforms, and automated deployment pipelines.
Plan and lead assumed-breach, objective-based red team operations against systems to test the effectiveness of defensive controls.
Integrate AI-assisted testing frameworks and LLM-driven automation into penetration testing workflows.
Senior Full-Stack Developer responsible for designing, building, and maintaining scalable backend services, e-commerce storefronts, integrations, and mobile applications for the ALDO Group.
Responsibilities
Design, develop, test, deploy, and support scalable applications, APIs, integrations, and digital commerce solutions
Build cloud-native solutions using TypeScript, Node.js, AWS, and modern development practices
Develop and maintain Shopify storefront capabilities, integrations, and customer-facing experiences
Contribute to mobile application development using React Native and Expo when required
Design secure, resilient, maintainable, and scalable solutions that support evolving business needs
Requirements
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
This role sits at the intersection of Artificial Intelligence, Cybersecurity, Data Engineering, and Full-Stack Software Development, with a primary focus on enabling secure, scalable, and governed AI adoption across the enterprise for supporting Cyber Security functions.
Compensation
$120,000 - $217,500 Annual
Responsibilities
Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
Requirements
Master’s degree or bachelor’s degree in computer science, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline
Seeking a Software Developer for Space Weather Scientific Software to support the Air Force Research Laboratory (AFRL) Space Warfare Directorate, focusing on researching and developing science phenomenology modeling and operational software applications.
Locations (2)
Albuquerque, New Mexico, United States
United States
Compensation
Salary range: $110,000.00 - $122,000.00
Responsibilities
Researching and developing space weather science phenomenology modeling, prediction, and forecast from science algorithms/prototypes into operational software applications
Advancing current R2O practices in methodology, processes, tools, etc.
Hands-on coding and technical management of interacting with customers
Designing, developing, integrating, and maintaining space weather science applications
Perform full life-cycle software development activities
Senior Software Engineer focused building reliable, scalable cloud-native applications while exploring new ways to improve software development through AI-assisted engineering practices.
Compensation
Note: This role operates under an initial 6-month engagement.
Responsibilities
Design, develop, test, and maintain cloud-native applications and RESTful APIs using C#, .NET 8+, ASP.NET Core, and Microsoft Azure.
Build and enhance distributed systems, microservices, serverless solutions, and event-driven integrations.
Support the adoption of OpenSpec and specification-driven development workflows across engineering teams.
Build, configure, and improve AI coding agents that support software development activities.
Guide engineers in using AI-assisted development tools effectively throughout the software development lifecycle.
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