24 Keda Jobs

The Foundry Agent Platform organization within Azure AI Platform is at the forefront of building the next generation of AI-driven solutions that power Microsoft's most innovative products and services. Our work underpins key Azure AI offerings, enabling intelligent, scalable, and reliable AI experiences across the Microsoft ecosystem. Within Foundry Agent Platform, our team is focused on developing advanced tools and services to build and host self-improving agents on AKS. We are seeking a Senior Software Engineer to join the Agent Foundry Infrastructure team to build the best-in-class Agent platform. The infrastructure team in Agents Foundry is looking for a senior software engineer who lov...

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification ...

**Job Description** **Role Overview:** As a Senior Lead Engineer at REA Group, you will play a crucial role in leading the design, development, and optimization of the Kubernetes based IDP. Your responsibilities will include writing, testing, and documenting code according to REA Engineering standards, leading strategic initiatives, solving technical problems, providing mentorship, and driving continuous improvement of production systems. You will collaborate with cross-functional teams globally to design high-quality solutions and stay updated on the latest Kubernetes and platform engineering trends. **Key Responsibilities:** - Writing, testing, and documenting code according to REA Enginee...

About Tide At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting. Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money. Tide Facts Tide is available for UK, Indian, German and French SMEs Over 1.6 mil...

Overview: As a DevOps Architect, you will be a key member of the Engineering SRE platform team. You will be responsible for defining and executing the DevOps/DevSecOps strategy, managing cloud infrastructure, ensuring system reliability, and leading a high-performing global team of DevOps and Systems Engineers. This is a hybrid role based out of our Pune office What You'll Do: Own the design, implementation, and maintenance of scalable DevOps/DevSecOps pipelines for production, development, and test environments Design and Architect Kubernetes environment with guardrails for DevOps/DevSecOps Engineers, providing technical direction and mentorship Manage CI/CD pipelines using Azure DevOps, Ar...

Key Responsibilities Design and implement CI/CD pipelines using Azure DevOps Pipelines and GitHub Actions. Manage infrastructure using Terraform, preferably with Azure modules. Work with Azure services including Key Vault, Service Bus, App Config, Log Analytics, and KEDA. Deploy and manage containerized applications using Kubernetes (AKS) and Helm charts. Set up and maintain monitoring and logging solutions using Log Analytics, Prometheus, Grafana, and Azure-native tools. Plan and implement disaster recovery strategies including backup automation and failover testing. Collaborate with development and operations teams to ensure smooth delivery and deployment processes. Qualifications and Requ...

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification ...

Role Overview: As a Lead of DevOps & Cloud Engineering at Guidepoint, you will be responsible for managing and leading a team of Sys. Admin and DevOps engineers. Your main focus will be on developing and implementing a robust Development Operations (DevOps) strategy to ensure high-quality software deployments and maintain the overall health and performance of applications. This position is based in the Pune office and offers a hybrid work environment. Key Responsibilities: - Take complete ownership of DevOps/DevSecOps pipelines to support Enterprise Production, Development, and Test deployments - Manage CI/CD pipelines using tools such as Azure DevOps, Argo CD, Keda, and Velero for backups a...

Role & responsibilities Python and Kubernetes to design and manage scalable infrastructure using tools like KEDA, Grafana, and Karpenter. The role focuses on GPU-accelerated workloads and CI/CD pipelines, with a nice-to-have knowledge of AI/ML deployment. 2 Positions Key Responsibilities Deploy and manage Kubernetes clusters, using Karpenter for node autoscaling. Implement event-driven scaling with KEDA for dynamic workloads. Build Grafana dashboards for monitoring with Prometheus integration. Optimize GPU resources in Kubernetes for compute-intensive tasks. Develop Python scripts for automation, IaC, and CI/CD pipelines. Manage containerized deployments with Docker and Helm. Troubleshoot pr...

JD (needs bifurcation): DevOps Engineer with expertise in Python and Kubernetes to design and manage scalable infrastructure using tools like KEDA, Grafana, and Karpenter. The role focuses on GPU-accelerated workloads and CI/CD pipelines, with a nice-to-have knowledge of AI/ML deployment. 2 Positions Key Responsibilities Deploy and manage Kubernetes clusters, using Karpenter for node autoscaling. Implement event-driven scaling with KEDA for dynamic workloads. Build Grafana dashboards for monitoring with Prometheus integration. Optimize GPU resources in Kubernetes for compute-intensive tasks. Develop Python scripts for automation, IaC, and CI/CD pipelines. Manage containerized deployments wit...

Role & responsibilities Python and Kubernetes to design and manage scalable infrastructure using tools like KEDA, Grafana, and Karpenter. The role focuses on GPU-accelerated workloads and CI/CD pipelines, with a nice-to-have knowledge of AI/ML deployment. 2 Positions Key Responsibilities Deploy and manage Kubernetes clusters, using Karpenter for node autoscaling. Implement event-driven scaling with KEDA for dynamic workloads. Build Grafana dashboards for monitoring with Prometheus integration. Optimize GPU resources in Kubernetes for compute-intensive tasks. Develop Python scripts for automation, IaC, and CI/CD pipelines. Manage containerized deployments with Docker and Helm. Troubleshoot pr...

Role & responsibilities Devops CI/CD AI/ML (Grafana, KEDA,Karpenter)Operations

About the Role RFID4U is seeking a highly skilled DevOps Engineer to join our technology team. The candidate will play a key role in building, automating, and optimizing our cloud-based RFID and IoT platform hosted on Microsoft Azure. This role requires expertise in Azure DevOps, Kubernetes, CI/CD pipelines, and Infrastructure-as-Code (IaC) to support the development, deployment, and scaling of mission-critical applications. Key Responsibilities Design, implement, and manage CI/CD pipelines using Azure DevOps or GitHub Actions. Build and maintain infrastructure as code (Terraform, Bicep, ARM templates). Deploy and manage containerized microservices on Azure Kubernetes Service (AKS). Implemen...

Role & responsibilities JD (needs bifurcation): DevOps Engineer with expertise in Python and Kubernetes to design and manage scalable infrastructure using tools like KEDA, Grafana, and Karpenter. The role focuses on GPU-accelerated workloads and CI/CD pipelines, with a nice-to-have knowledge of AI/ML deployment. 2 Positions Key Responsibilities Deploy and manage Kubernetes clusters, using Karpenter for node autoscaling. Implement event-driven scaling with KEDA for dynamic workloads. Build Grafana dashboards for monitoring with Prometheus integration. Optimize GPU resources in Kubernetes for compute-intensive tasks. Develop Python scripts for automation, IaC, and CI/CD pipelines. Manage conta...

About REA Group: In 1995, in a garage in Melbourne, Australia, REA Group was born from a simple question: Can we change the way the world experiences property Could we Yes. Are we done Never. Fast forward 30 years, REA Group is a market leader in online real estate in three continents and continuing to grow rapidly across the globe. The secret to our growth is staying true to that day one mindset; the hunger to innovate, the ambition to change the world, and the curiosity to reimagine the future. Our new Tech Center in Cyber City is dedicated to accelerating REA Group's global technology delivery through relentless innovation. We're looking for the best technologists, inventors, and leaders ...

As a Lead of DevOps & Cloud Engineering at Guidepoint, you will play a crucial role in managing and leading a team of Sys. Admin and DevOps engineers. Your primary responsibility will be to develop and execute a robust Development Operations (DevOps) strategy to ensure high-quality software deployments and maintain the overall health and performance of applications. This position is based in our Pune office and offers a hybrid work environment. Your key responsibilities will include: - Taking complete ownership of DevOps/DevSecOps pipelines to support Enterprise Production, Development, and Test deployments - Managing CI/CD pipelines using tools such as Azure DevOps, Argo CD, Keda, and Veler...

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification ...

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification ...

The tackling challenges to enhance our internal CRM system and develop new products that You'llontakesproblem-solvingjudgmentupholds Overview: Guidepoints Engineering team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal CRM system and create new products to optimize the seamless delivery of our services. As a Lead of DevOps & Cloud Engineering, you will be a core member of the engineering leadership team. In this role, you will manage and lead a team of Sys. Admin and D...

Job Summary: We are seeking a versatile QA & AIOps Engineer with a minimum of 5 years of hands-on experience in both AI Ops implementation and intelligent QA automation. The ideal candidate will bridge the gap between DevOps, QA, and AI engineering ensuring robust infrastructure, AI agent deployment, intelligent testing, and automated monitoring for scalable AI systems. This role requires strong technical depth in cloud-native deployment (AKS/EKS), CI/CD pipelines, and AI/ML toolchains. Key Responsibilities: AI Ops & DevOps Engineering: Deploy and manage AI agents in scalable production environments (Azure/AWS). Set up and maintain Kubernetes clusters (AKS/EKS), Docker containers, and Ingres...

Role Overview: We're seeking a senior Azure Infrastructure Engineer with 812 years of deep hands-on experience in building, deploying, and operating cloud-native infrastructure. You’ll be responsible for core components like AKS, Terraform, Docker, Helm, KEDA, HPA, Istio/service mesh, CI/CD pipelines, Azure networking, and disaster recovery. Key Responsibilities: Operate and troubleshoot production AKS clusters Build and deploy workloads using Docker and Helm Automate infra provisioning with Terraform Configure autoscaling using KEDA and HPA Manage Istio or equivalent service mesh (ingress, routing, mTLS) Maintain robust CI/CD pipelines (Azure DevOps/GitHub Actions) Handle complex Azure netw...

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification ...

Role & responsibilities ML Engineer 4-5yrs or above experience. They mentioned, yes, please explore. They want ML Engineering, Backend developers with ML deployment. Few of the skills that he mentioned, Grafana, Karpenter, Keda, Python, Golang. GPU understanding.

Role & responsibilities Implement and manage AIOps platforms for intelligent monitoring, alerting, anomaly detection, and root cause analysis (RCA). Possess end-to-end knowledge of VLLM model hosting and inferencing. Advanced knowledge of public cloud platforms such as AWS and Azure. Build and maintain machine learning pipelines and models for predictive maintenance, anomaly detection, and noise reduction. Experience in production support and real-time issue handling. Design dashboards and visualizations to provide operational insights to stakeholders. Working knowledge of Bedrock, SageMaker, EKS, Lambda, etc. 1 to 2 years of experience with Jenkins and GoCD to make build/deploy pipelines. H...