6 K3S Jobs

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description Cloud/Edge Engineer - GKE Specialist Location: PAN India Experience: 8-12 years Choosing Capgemini means choosing a place where you'll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what's possible. Join us in helping leading organizations unlock the value of cloud and edge technologies to drive scalable, intelligent, and sustainable digital transformation. Your Role As a Cloud/Edge Engineer specializing in Google Kubernetes Engine (GKE), you will play a key role in architecting and deploying scalable edge and cloud-native solutions across distributed environments. You will work on cutting-edge technologies like K3s, KubeEdge, and Kosmotron to enable seamless orchestration between edge clusters and centralized GCP infrastructure. In this role, you will: Architect and deploy Kubernetes-based edge clusters (K3s) across distributed environments such as retail or restaurant chains. Integrate shared storage solutions using Rook.io and manage persistent volumes across edge nodes. Implement Kosmotron for multi-cluster Kubernetes control plane management. Extend Kubernetes capabilities to edge devices using KubeEdge for real-time device communication. Deploy and manage workloads on Google Cloud GKE for centralized analytics and cloud-native services. Leverage CloudCore for edge node coordination and data synchronization. Your Profile 8-12 years of experience in cloud-native engineering, with a strong focus on GCP and Kubernetes. Deep expertise in GKE, Cloud Monitoring, Cloud Logging, and other GCP services. Proficiency in containerization technologies including Docker and Kubernetes. Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, Helm, and Deployment Manager. Strong understanding of DevOps practices including CI/CD, GitOps, automated testing, and release management. Solid grasp of cloud security principles including IAM, VPC design, encryption, and vulnerability management. Programming proficiency in Python, Go, or Java for automation and cloud-native development. Experience working in distributed edge environments is a strong plus. What You'll Love About Working Here Flexible work options and remote-friendly culture to support work-life balance. A collaborative and inclusive environment that values innovation and continuous learning. Access to cutting-edge projects and certifications in cloud, edge, and DevOps technologies. About Us Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

JOB TITLE: AI ASSOCIATE OPTIMIZATION Location: Bengaluru | Experience: 1-3 Years ABOUT NEWCOLD NewCold is a service provider in cold chain logistics with a focus on development and operation of large, highly automated cold stores. NewCold strives to be crucial in the cold chain of leading food companies, by offering advanced logistic services worldwide. NewCold is one of the fastest growing companies (over 2,000 employees) in the cold chain logistics and they are expanding teams to support this growth. They use the latest technology that empowers people, to handle food responsibly and guarantee food safety in a sustainable way. They challenge the industry, believe in long-term partnerships, and deliver solid investment opportunities that enable next generation logistic solutions. NewCold has leading market in-house expertise in designing, engineering, developing and operating state-of-the-art automated cold stores: a result of successful development and operation of over 15 automated warehouses across three continents. With the prospect of many new construction projects around the world in the very near future, this vacancy offers an interesting opportunity to join an internationally growing and ambitious organization. POSITION SUMMARY NewCold is seeking an AI Associate Optimization to enhance the performance and efficiency of our AI-powered solutions within our highly automated cold chain logistics network. This role focuses on optimizing machine learning models deployed in warehouse operations, ensuring low latency, high throughput, and accurate predictions for improved decision-making. You will be instrumental in bridging the gap between data science and real-world deployment, contributing to the continuous improvement of our automated systems. This position requires a strong understanding of model serving, containerization, and edge AI technologies. YOUR ROLE As an AI Associate Optimization, you will play a critical role in ensuring the reliability, scalability, and performance of AI models powering NewColds automated warehouse processes. You will be responsible for optimizing models for deployment across diverse infrastructure, including cloud and edge environments, directly impacting operational efficiency, cost reduction, and the overall effectiveness of our logistics solutions. Your work will contribute to maintaining NewColds competitive edge through cutting-edge AI implementation. KEY RESPONSIBILITIES Implement model optimization techniques such as quantization and knowledge distillation to reduce model size and improve inference speed for deployment on edge devices and cloud infrastructure. Develop and maintain CI/CD pipelines for automated model deployment and updates, ensuring seamless integration with existing systems. Benchmark and profile model performance (latency, throughput, memory usage) to identify bottlenecks and areas for improvement. Deploy and manage machine learning models using model serving frameworks like TensorFlow Serving, TorchServe, ONNX Runtime, or Triton Inference Server. Containerize AI models and applications using Docker and Podman for consistent and reproducible deployments. Collaborate with data scientists and software engineers to troubleshoot model performance issues and implement solutions. Monitor model performance in production and proactively address any degradation in accuracy or efficiency. Develop and maintain APIs/SDKs (REST, gRPC, FastAPI) for accessing and integrating AI models into various applications. Work with edge devices (NVIDIA Jetson, Coral TPU, ARM-based boards) and edge frameworks (TensorRT, OpenVINO, TFLite, TVM) to optimize models for low-power, real-time inference. WHAT WE ARE LOOKING FOR Bachelors or masters degree in computer science, Artificial Intelligence, Machine Learning or a related field 1-3 years of experience in a role focused on machine learning model optimization and deployment. Proficiency in Python and C++ programming languages. Hands-on experience with model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server). Experience with containerization technologies (Docker, Podman) and orchestration tools (Kubernetes, K3s, Edge orchestrators). Knowledge of model optimization techniques such as quantization and knowledge distillation. Familiarity with benchmarking and profiling tools for evaluating model performance. Strong analytical and problem-solving skills with a data-driven approach. Experience with CI/CD pipelines for ML deployment is highly desirable. Knowledge of edge devices (NVIDIAJetson, Coral TPU, ARM-based boards) and edge AI frameworks (TensorRT, OpenVINO, TFLite, TVM) is a significant plus. WHY JOIN US Opportunity to work on cutting-edge AI applications in a rapidly growing and innovative cold chain logistics company. Exposure to a wide range of AI technologies and challenges within a highly automated warehouse environment. Career growth potential within a dynamic and international organization. Collaborative and supportive team environment with opportunities for learning and development. Contribute to the development of next-generation logistics solutions that are shaping the future of the food supply chain. Show more Show less

As a Multi-Cloud senior DevOps and Team Manager with experience in CICD, you will be responsible for leading a team and ensuring efficient deployment and management of cloud infrastructure and services across various platforms. With a minimum of 8-10 years of experience, including at least 2 years in a leadership or Architect role, you will have a strong background in technologies such as Kubernetes, GCP, AWS, DevOps practices, and more. Your role will require expertise in areas such as Public Cloud (AWS, GCP, Azure), Microservices (Kubernetes, Docker, OpenShift), Infrastructure as Code (Terraform, Pulumi), and a variety of monitoring tools and networking technologies. Proficiency in CICD tools like Jenkins, GitLabCI, and knowledge of scripting languages like Bash and Python will be essential for optimizing deployment processes. In addition to technical skills, you will be expected to demonstrate experience in Release Management, Security practices, and Agile methodologies. As a Team Manager, you will oversee the performance and development of your team members, ensuring successful project delivery and alignment with organizational goals. This is a full-time position based in Chennai, Tamil Nadu, offering a hybrid remote work environment. Please note that candidates with less than 8 years of experience need not apply, and the role is not suitable for Junior or Mid-level professionals. If you meet the specified qualifications and have a proven track record in cloud infrastructure management and team leadership, we encourage you to apply by providing details about your current employer, location, notice period, current and expected salary, and confirming your Lead or Architect level status.,

As a Principal Software Engineer at ABB, you will play a crucial role in leading the development of cutting-edge software solutions for the Process Automation Industry. Your responsibilities will include defining and implementing scalable, high-performance software architectures using .NET (C#) and Angular, providing technical direction and mentorship to development teams, and architecting microservices-based solutions for modularity, performance, and maintainability. Collaborating closely with cross-functional stakeholders, you will align technical roadmaps with business objectives to ensure innovation, reliability, and efficiency in mission-critical environments. You will also drive the implementation of AI-powered automation tools for software development and testing, write clean and well-documented code following SOLID principles, and design applications that integrate with industrial automation systems. Furthermore, you will be responsible for ensuring seamless real-time data processing and communication between IT and OT systems, defining standards for system reliability and fault tolerance in mission-critical industrial environments, and actively participating in Agile (Scrum/Kanban) sprints to ensure timely delivery of features. Your expertise will be crucial in leading the development of intuitive, high-performance UIs using Angular for real-time industrial monitoring and control, as well as in reducing technical debt and optimizing system performance. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, along with 10+ years of extensive experience in .NET and Angular. Your technical skills should include proficiency in .NET Core, C#, ASP.NET, Angular, TypeScript, RxJS, SQL Server, PostgreSQL, Azure/AWS, Docker, Kubernetes, OPC UA, MQTT, SCADA, MES, and unit testing frameworks. If you are passionate about driving innovation and delivering top-notch solutions in a dynamic environment that actively blends technology, data, domain, and Industrial AI, then this opportunity at ABB is tailored for you. Join us in empowering everyone to create sustainable solutions and be part of our global network that thrives on collaboration and excellence. Challenge yourself every day to achieve exceptional results and let's write the future together. Apply now for your next career step within ABB and discover the impact of our solutions across the globe. #MyABBStory.,

The role requires you to create intuitive user interfaces and manage edge deployments for AI applications, ensuring seamless functionality across various naval environments and devices. Your responsibilities will include designing and building responsive and secure interfaces, packaging and deploying applications on different platforms, and ensuring usability in network-constrained or offline environments. You will be developing UI interfaces for dashboards, alerts, geo-spatial visualization, and analytics, integrating with AI outputs from the backend, and building Electron-based desktop apps and Flutter-based mobile clients for offline use. Additionally, you will need to ensure local caching, secure data handling, session management, and implement UI analytics for user interaction tracking. Working closely with end users for field testing and feedback, you will be responsible for compliance with design constraints such as minimal memory footprint, low power consumption, and rapid boot. The ideal candidate should have a B.Tech/M.Tech in Computer Science or related field with a strong foundation in user interface design and human-computer interaction. Desired certifications include Google UX Design Professional Certificate, Adobe Certified Expert in UX Design, and Mobile app development certifications. Core skills and tools required for this role include proficiency in JavaScript, TypeScript, HTML5, CSS3, React, Vue.js, Angular, React Native, Flutter, D3.js, Leaflet, WebSocket, Docker, and Electron. Experience with modern frontend frameworks, mobile app development, responsive design, version control, and collaborative development is essential. Strong communication skills, the ability to mentor junior developers, and experience with micro-frontend architectures are also desired qualifications. If you are interested in this position, please apply by sending your resume to nk@bluparrot.in and JK@Bluparrot.in.,

Role & responsibilities 1. Prepare Helm charts and package applications for deployment. 2. Create manifests and database tunnels for seamless development and testing. 3. Create and maintain development support tools and CI/CD pipelines for multiple projects. 4. Understand the product and create dependency maps to ensure smooth project workflows. 5. Maintain and optimize DevOps tools, including GitLab on-premises and GitPods. 6. Support and configure container registries, code scanners, and code reporting tools. 7. Integrate and execute testing processes within CI/CD pipelines. 8. Utilize Terraform for infrastructure provisioning and management. Operational 9. Gain expertise in databases, including backups, restores, high availability, and failover strategies. 10. Implement least privileged access and set up database tunneling for developer access. 11. Ensure comprehensive backups of repositories and branching structures. 12. Demonstrate proficiency in Kubernetes and Docker, with hands-on experience in CRDs, StatefulSets, PVs, PVCs, Docker volumes, and security contexts. 13. Experience with Helm for Kubernetes package management. 14. Utilize Ansible for configuration management. 15. Possess practical knowledge and experience in Infrastructure as Code (IAC), VMware vSphere, Linux, and configuration management. 16. Implement , provision, and monitor a fleet of servers. People 17. Monitor infrastructure using tools such as Prometheus, Grafana, and Alert Manager. 18. Work with logs aggregation systems, write queries, and set up log shipping. 19. Have hands-on experience with Python and Bash scripting to automate routine tasks. 20. Use practical knowledge of CNCF incubated tools like Longhorn, Velero, Kasten, Harbor, and Rancher to build and maintain private clouds. 21. Implement DevSecOps practices and security tools to enhance the security of infrastructure, network, and storage layers. Preferred candidate profile 1. Bachelor's degree in a related field or equivalent work experience 2. Proficiency with scripting languages (Python, Bash) for automation 3. Excellent understanding of GCP, AWS EC2, LInux, Kubernetes, Docker, Helm, Terraform, Ansible, Jenkins, Gitlab-ci, Gitlab runner, longhorn, k3s, velero backup, minio and other related technologies.