A global tech firm is seeking a Senior Product Security Engineer to oversee security and compliance for digital products. Responsibilities include leading discussions with engineering and product teams, implementing security automation, and mentoring junior staff. The ideal candidate will have experience in secure software development, cloud security, and using AI tools to enhance product development. This position allows for remote work within a distributed team and encourages collaboration with open-source projects. #J-18808-Ljbffr
A leading technology company in Ireland is looking for a Software Maintenance Engineer to enhance the product experience for customers using Red Hat OpenShift AI. The role involves resolving critical issues, collaborating with global teams on maintenance streams, and ensuring high-quality standards. Candidates should have proficiency in Python or Go, experience with automated testing, and a strong background in Kubernetes. The position offers opportunities for technical leadership and contributions to product quality improvement. #J-18808-Ljbffr
Red Hat Engineering is looking for Senior Software Engineers to join the GCP Hosted Control Planes (HCP) team. This team builds and operates a managed service that enables organizations to run OpenShift Kubernetes clusters on Google Cloud Platform using HyperShift, hosting multiple Kubernetes control planes on shared GKE infrastructure to reduce cost and operational overhead for customers. This is not a traditional software engineering role. Our team practices an agent-first development methodology where AI coding agents are a primary mechanism for producing, testing, and maintaining code. Engineers on this team function as harness engineers: they design the environments, constraints, and feedback loops that enable AI agents to do reliable work, while applying deep technical judgment to specify intent, review output, and maintain architectural integrity. You will write code, but you will also spend significant time crafting the documentation, linters, structural tests, and CI gates that keep both human and agent contributors producing high-quality, architecturally consistent work. You'll work as part of a distributed engineering team, contributing to a platform built on Go, Kubernetes, GKE, Terraform, Tekton, and ArgoCD. You'll participate in open source communities and help deliver enterprise-grade managed Kubernetes at scale. What you will do Design and implement features, bug fixes, and infrastructure automation for the GCP HCP platform using Go and Kubernetes Work within an agent-augmented development workflow: decompose work into well-specified tasks, guide AI agents through implementation, and rigorously review agent-generated code and tests Write and maintain custom linters, structural tests, and CI gate checks that enforce architectural boundaries and prevent drift — for both human and agent contributors Contribute to the team's structured documentation system (design documents, architecture decision records, AGENTS.md context files) that serves as the source of truth for AI agents and humans alike Build and maintain the observability, deployment pipelines, and automation that support multi-region managed OpenShift clusters on GCP Participate in peer code reviews with a focus on correctness, security, and adherence to established architectural constraints Own test strategy for the features you deliver — design test plans, write unit and integration tests, and ensure end-to-end coverage across the platform's multi-region architecture Troubleshoot complex issues across distributed systems spanning GKE host clusters, HyperShift control planes, and customer workloads Participate in on-call rotations to support production managed services Mentor peers and contribute to a culture of continuous improvement in both technical craft and agent-augmented workflows What you will bring 5+ years of experience developing software in a Linux environment, with strong proficiency in Go Experience with the Kubernetes ecosystem, including writing and operating controllers and operators Experience with at least one major public cloud platform (GCP preferred; AWS or Azure also relevant) Experience with distributed version control (Git) and CI/CD systems Good understanding of Linux operating systems and container runtimes Demonstrated ability to review code critically and troubleshoot complex issues in distributed systems Excellent written communication skills — you will write documentation and specifications that serve as executable context for AI agents, not just other humans Comfort working with AI coding tools (code generation, agent-driven workflows, LLM-assisted review) as part of daily development practice Preferred Skills Experience with GKE, GCP networking, GCP IAM, or Workload Identity Federation Understanding of HyperShift or multi-tenant Kubernetes control plane architectures Experience writing custom linters, static analysis rules, or structural/architectural tests Experience with infrastructure-as-code and GitOps tools (Terraform, Tekton, ArgoCD) Experience with observability systems (Prometheus, Google Managed Prometheus) Participation in open source communities; contributions to Kubernetes or OpenShift upstream projects Experience designing or maintaining CI/CD pipelines that serve as quality gates for agent-generated code Familiarity with prompt engineering, agent context design, or structured documentation practices for AI-assisted development Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. #J-18808-Ljbffr
Red Hat Engineering is looking for Senior Software Engineers to join the GCP Hosted Control Planes (HCP) team. This team builds and operates a managed service that enables organizations to run OpenShift Kubernetes clusters on Google Cloud Platform using HyperShift, hosting multiple Kubernetes control planes on shared GKE infrastructure to reduce cost and operational overhead for customers. This is not a traditional software engineering role. Our team practices an agent-first development methodology where AI coding agents are a primary mechanism for producing, testing, and maintaining code. Engineers on this team function as harness engineers: they design the environments, constraints, and feedback loops that enable AI agents to do reliable work, while applying deep technical judgment to specify intent, review output, and maintain architectural integrity. You will write code, but you will also spend significant time crafting the documentation, linters, structural tests, and CI gates that keep both human and agent contributors producing high-quality, architecturally consistent work. You'll work as part of a distributed engineering team, contributing to a platform built on Go, Kubernetes, GKE, Terraform, Tekton, and ArgoCD. You'll participate in open source communities and help deliver enterprise-grade managed Kubernetes at scale. What you will do Design and implement features, bug fixes, and infrastructure automation for the GCP HCP platform using Go and Kubernetes Work within an agent-augmented development workflow: decompose work into well-specified tasks, guide AI agents through implementation, and rigorously review agent-generated code and tests Write and maintain custom linters, structural tests, and CI gate checks that enforce architectural boundaries and prevent drift — for both human and agent contributors Contribute to the team's structured documentation system (design documents, architecture decision records, AGENTS.md context files) that serves as the source of truth for AI agents and humans alike Build and maintain the observability, deployment pipelines, and automation that support multi-region managed OpenShift clusters on GCP Participate in peer code reviews with a focus on correctness, security, and adherence to established architectural constraints Own test strategy for the features you deliver — design test plans, write unit and integration tests, and ensure end-to-end coverage across the platform's multi-region architecture Troubleshoot complex issues across distributed systems spanning GKE host clusters, HyperShift control planes, and customer workloads Participate in on-call rotations to support production managed services Mentor peers and contribute to a culture of continuous improvement in both technical craft and agent-augmented workflows What you will bring 5+ years of experience developing software in a Linux environment, with strong proficiency in Go Experience with the Kubernetes ecosystem, including writing and operating controllers and operators Experience with at least one major public cloud platform (GCP preferred; AWS or Azure also relevant) Experience with distributed version control (Git) and CI/CD systems Good understanding of Linux operating systems and container runtimes Demonstrated ability to review code critically and troubleshoot complex issues in distributed systems Excellent written communication skills — you will write documentation and specifications that serve as executable context for AI agents, not just other humans Comfort working with AI coding tools (code generation, agent-driven workflows, LLM-assisted review) as part of daily development practice Preferred Skills Experience with GKE, GCP networking, GCP IAM, or Workload Identity Federation Understanding of HyperShift or multi-tenant Kubernetes control plane architectures Experience writing custom linters, static analysis rules, or structural/architectural tests Experience with infrastructure-as-code and GitOps tools (Terraform, Tekton, ArgoCD) Experience with observability systems (Prometheus, Google Managed Prometheus) Participation in open source communities; contributions to Kubernetes or OpenShift upstream projects Experience designing or maintaining CI/CD pipelines that serve as quality gates for agent-generated code Familiarity with prompt engineering, agent context design, or structured documentation practices for AI-assisted development Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. #J-18808-Ljbffr
A leading open-source technology company in Ireland is seeking a Software Integration Engineer to join their integration team. The role involves integrating Kubernetes features into Telco solutions and collaborating with global engineering teams. Candidates should have hands-on experience with Kubernetes and automation tools, alongside strong communication skills. This is an excellent opportunity to expand technical expertise in a vibrant environment with contributions to meaningful open-source projects. #J-18808-Ljbffr
Principal Software Engineer to work on cutting‑edge AI/ML applications and agent systems, leveraging modern inference platforms to build production‑ready prototypes. You will contribute to upstream communities like vLLM, TGI, PyTorch, and OpenVINO while building innovative applications that demonstrate the capabilities of next‑generation AI/ML systems. The ideal candidate is energized by working concurrently on a wide variety of projects, independently as well as within a team environment. What You Will Do Build high‑quality, high‑performing AI/ML applications and agent systems using modern inference platforms for multi‑modal and distributed model serving. Apply and optimize inference techniques including KV cache management, model quantization, and distributed serving to production workloads. Contribute to upstream inference runtime communities such as vLLM, TGI, PyTorch, OpenVINO, and related projects. Build multi‑modal AI applications integrating vision, language, and other modalities. Provide technical leadership and coordination across multiple stakeholders and engineering teams. Apply a growth mindset by staying current with rapid advancements in AI/ML inference technologies. Benchmark and analyze inference performance at scale, driving data‑driven optimization decisions. Publicize innovations through blogs, presentations, conferences, and other technical venues. What You Will Bring Bachelor's degree in Computer Science, Engineering, or equivalent experience. 5+ years of experience in AI/ML engineering with focus on production inference systems. Deep expertise in PyTorch and modern deep learning frameworks. Hands‑on experience with inference runtime optimization (model serving, batching, KV cache management). Advanced programming skills in Python and C++. Proven ability to contribute to and lead open source projects. Strong self‑motivation and organizational skills. Ability to work concurrently on multiple projects, independently and within a team environment. Excellent English written and verbal communication skills. Collaborative attitude and willingness to share ideas openly. The Following Are Considered a Plus Experience with vLLM, TGI (Text Generation Inference), or similar inference runtimes. Contributions to PyTorch, OpenVINO, or other inference frameworks. Experience with distributed model serving and GPU optimization. Familiarity with Kubernetes and cloud‑native AI/ML deployments. Knowledge of model quantization techniques (GPTQ, AWQ, FP8, etc.). Experience with CUDA, Triton, or other GPU programming frameworks. Experience with diffusion models and diffusion transformers. Experience building AI agents and agentic systems. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. #J-18808-Ljbffr
A leading technology company in Ireland is seeking a Senior Software Engineer to join their GCP HCP team. This position involves designing and implementing features using Go and Kubernetes while integrating AI in development processes. Candidates should have 5+ years of experience in a Linux setting and be adept in Kubernetes, CI/CD, and container management. The role offers opportunities to work on innovative solutions and contribute to open source communities. #J-18808-Ljbffr
A leading technology company in Dublin is looking for a Software Integration Engineer to support Telco 5G product offerings. You’ll design and implement a container platform within the Kubernetes ecosystem, collaborating with global engineering teams. The role provides an excellent opportunity to deepen expertise in Linux and Kubernetes while contributing to significant open source projects. Key responsibilities include integrating technologies, collaborating on designs, and developing solutions, with a focus on networking and automation tools. #J-18808-Ljbffr
The Red Hat Sustaining Engineering team under Experience Engineering (XE) organization is looking for a Software Maintenance Engineer to help a new team aimed at improving the long-term product experience of our Red Hat OpenShift AI(RHOAI) customers. In this role, you will work closely with Product Engineering to deliver extended product maintenance work, including handling bugs and CVEs in extended life streams of Red Hat OpenShift AI. You'll be actively driving all aspects of Red Hat OpenShift maintenance for a subset of product components focused on software development that goes beyond the normal maintenance phase of Red Hat OpenShift AI minor releases. You will contribute to the patch review process, the development and execution of backports, test automation and test plans, and the creation of automation tools to improve the efficiency, flexibility, and quality of Red Hat’s patch delivery to customers. You will provide technical leadership for engineers within the team. What you will do Resolve and address critical issues that have an impact on long-term regional or global business success of Red Hat OpenShift AI Work within the Red Hat OpenShift portfolio and assist the delivery of maintenance streams Collaborate with developer and QE counterparts and DevOps team across the globe to ensure the development and delivery of fixes meet the schedule requirements and high quality standards expected and required by Red Hat customers Diagnose the root cause of failures Backport CVE and bug fixes to stable release streams Develop, maintain, and monitor tests and onboard automated tests into a continuous integration workflow Become responsible for our product quality, continuous integration and delivery, respond to security threats What will you bring Proficiency in at least one programming language between Python or Go Experience testing applications developed in Go, Python, or other programming languages. Hands-on experience with automated testing frameworks in the context of back-end services and web apps (e.g.: PyTest, Cypress) Understanding of CI/CD practices and experience working with tools like Jenkins, GitHub Actions, GitLab CI, or similar. Strong background in Kubernetes, OpenShift, or other cloud-native technologies. Hands on experience in release pipeline preparation & Builds creation The Following Will Be Considered a Plus While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess Knowledge of the AI and machine learning landscape, including basic MLOps concepts Experience with public cloud services (AWS, GCE, Azure) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. #J-18808-Ljbffr
A leading tech company in Ireland is seeking a Senior Compliance Manager to enhance compliance processes through automation. This role requires deep knowledge of information systems and experience with AI tools to ensure the security of product offerings. Candidates should possess a strong understanding of Linux, cloud-native technologies such as Kubernetes, and relevant compliance frameworks. A collaborative nature, along with excellent communication skills, is essential for mentoring team members and engaging with open-source communities. #J-18808-Ljbffr
