551 to 575 of 1,390 Remote Kubernetes Jobs

shadcn/ui + TailwindCSS Zod (for validation) Backend NestJS + TypeORM Redis + Bull/BullMQ Jest (for testing) Architecture & Infrastructure 100% TypeScript codebase pnpm monorepo Docker + Kubernetes SQL databases 🎯 Key Responsibilities Design, build, and maintain scalable full-stack features using TypeScript Develop intuitive, high-performance user interfaces with React/Next.js Implement robust APIs and backend logic More ❯

FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and cross-disciplinary More ❯

skills, stakeholder engagement, and a proactive approach to problem-solving. Strategic mindset with the ability to balance hands-on delivery and architectural thinking. ⭐ Bonus Skills Familiarity with AVD, Nerdio, Kubernetes, or Python/Bash scripting . Understanding of encryption, compliance frameworks . 🎓 Qualifications Degree in Computer Science, IT, or a related discipline. Relevant Microsoft Azure certifications 🌟 Why You’ll Love More ❯

and proficient in SQL and other data processing languages. Experience with data pipeline orchestration tools, preferably Cloud Composer. Broad understanding of core GCP services such as BigQuery, Cloud Storage, Kubernetes, Cloud Functions, Pub/Sub, and IAM. Experience with IaC tools such as Terraform, Ansible, or CloudFormation to manage GCP environments. Familiar utilising CI/CD pipelines and version control More ❯

troubleshoot production issues in that environment. Database Skills: High proficiency in SQL . Nice-to-Have Skills Direct production experience with FastAPI . Experience with Google Cloud Run and Kubernetes (GKE) . Familiarity with GCP data tools like BigQuery and Google Cloud Storage (GCS) . Experience building complex agentic AI applications (beyond basic RAG or LangChain implementations). How We More ❯

Deep expertise in AWS services such as EC2, S3, Lambda, RDS, API Gateway, IAM, CloudFormation/Terraform, and more. Proven experience in cloud migration, DevOps tooling (Git, Jenkins, Docker, Kubernetes), and security frameworks (CIS, SOC2, HIPAA). Strong ability to lead, communicate, and deliver results in a fast-paced, global environment. Set yourself apart with: Multi-cloud experience (AWS, Azure More ❯

Deep expertise in AWS services such as EC2, S3, Lambda, RDS, API Gateway, IAM, CloudFormation/Terraform, and more. Proven experience in cloud migration, DevOps tooling (Git, Jenkins, Docker, Kubernetes), and security frameworks (CIS, SOC2, HIPAA). Strong ability to lead, communicate, and deliver results in a fast-paced, global environment. Set yourself apart with: Multi-cloud experience (AWS, Azure More ❯

one. What You'll Need: Deep experience in the Microsoft Azure ecosystem (especially PaaS, App Services). Strong commercial experience with Infrastructure as Code (especially Terraform) and container orchestration (Kubernetes). A proven background in an SRE, DevOps, or Software Engineering (with an operations focus) role. Solid scripting/programming skills for automation (e.g., PowerShell, Python, Bash). Expertise with More ❯

one. What You'll Need: Deep experience in the Microsoft Azure ecosystem (especially PaaS, App Services). Strong commercial experience with Infrastructure as Code (especially Terraform) and container orchestration (Kubernetes). A proven background in an SRE, DevOps, or Software Engineering (with an operations focus) role. Solid scripting/programming skills for automation (e.g., PowerShell, Python, Bash). Expertise with More ❯

one. What You'll Need: Deep experience in the Microsoft Azure ecosystem (especially PaaS, App Services). Strong commercial experience with Infrastructure as Code (especially Terraform) and container orchestration (Kubernetes). A proven background in an SRE, DevOps, or Software Engineering (with an operations focus) role. Solid scripting/programming skills for automation (e.g., PowerShell, Python, Bash). Expertise with More ❯

of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong communicator – articulate, credible, and More ❯

of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong communicator – articulate, credible, and More ❯

Serverless and serverless-supported languages DB (ex, Postgresql, CocroachDB) Streaming technologies (Amazon Kinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working within an agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures Experience with Core Services around player journeys and experiences Nice to have experience with Sportsbetting and Casino software Nice to have More ❯

with a strong sense of ownership. Nice-to-have Prior experience in fintech or highly regulated environments. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes). Exposure to compliance, risk, or secure data architectures. Familiarity with modern DevOps, CI/CD, and infrastructure-as-code practices. Our Technical Principles Design for change: modular, extensible, and More ❯

in modern Python (3.10+) including async methods and familiarity with least one other higher level programming language (e.g. Rust, Typescript, Java etc.) Cloud-native technologies and container orchestration (e.g., Kubernetes, ArgoCD, Helm) Developing in a CI/CD driven environment where testing and coverage are significant aspects of development practice Exposure to working with hardware controlling software e.g. EPICS, ideally More ❯

demonstrable experiefnce with Real Time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity about) telecommunications protocols and architectures. You More ❯

demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity about) telecommunications protocols and architectures. You More ❯

as opportunities. Nice-to-Have Experience: Experience designing or working with Human-in-the-Loop systems for data annotation or model validation. Familiarity with MLOps tools and practices (Docker, Kubernetes, MLflow, etc.). Previous experience in a startup or high-growth environment. A background in healthcare, life sciences, or a related domain, but this is not required. What We Offer More ❯

as opportunities. Nice-to-Have Experience: Experience designing or working with Human-in-the-Loop systems for data annotation or model validation. Familiarity with MLOps tools and practices (Docker, Kubernetes, MLflow, etc.). Previous experience in a startup or high-growth environment. A background in healthcare, life sciences, or a related domain, but this is not required. What We Offer More ❯

as opportunities. Nice-to-Have Experience: Experience designing or working with Human-in-the-Loop systems for data annotation or model validation. Familiarity with MLOps tools and practices (Docker, Kubernetes, MLflow, etc.). Previous experience in a startup or high-growth environment. A background in healthcare, life sciences, or a related domain, but this is not required. What We Offer More ❯

. Familiarity with high-cardinality data challenges and telemetry correlation techniques. Solid understanding of distributed systems and the challenges of observability in complex, microservice-based environments. Experience with AWS, Kubernetes, and infrastructure-as-code tools. Provide architectural guidance and thought leadership across teams, helping to establish telemetry standards, efficient usage patterns, and scalable platform abstractions. Ability to make forward-looking More ❯

solutions for real-time analytics, predictive modelling, intelligent automation , and synthetic data generation for privacy-preserving analytics. Expertise in integrating AI models into enterprise systems, leveraging APIs, containerisation (Docker, Kubernetes) , and serverless architectures to enable scalable deployment. Proactive evaluation of emerging technologies , including edge AI, federated learning, quantum-inspired data processing , and AI-driven data orchestration , to drive innovation in More ❯

high-level languages used in data science, such as Python and C#, and ability to rapidly acquire knowledge of new languages and platforms. Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc. Familiarity with server management. Up to date with new approaches in software development. Demonstrable experience with SQL e.g., PostgreSQL or other modern SQL platforms. Knowledge of and commitment to More ❯

independently find solutions to problems. Desirable In-depth knowledge of at least one high-level language used in data science, such as Python. Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc. Familiarity with server management. Understanding of distributed software applications. Up to date with new approaches in software development. Demonstrable experience with SQL e.g., PostgreSQL or other modern SQL platforms. More ❯

And Deployment Pipelines, Implement Monitoring And Alerting Solutions, Troubleshoot Production Issues, Ensure Security And Compliance, And Optimize Infrastructure. You Will Be Using Variety Of Technologies Such As Docker, Terraform, Kubernetes And Have Exposure To Public Cloud Providers Such As AWS, Azure Or GCP. As Part Of Your Role You Will: Work with the architect and the cross-discipline development teams … and best practices Extensive experience in designing, implementing, and maintaining CI/CD pipelines - GitLab CI, GitHub Actions, Jenkins etc Extensive experience with containerisation, virtualisation, and orchestration technologies - Docker, Kubernetes etc Extensive experience using Infrastructure as Code for configuration management and code implementation - Terraform etc. Experience setting up and using monitoring and alerting tools such as Dynatrace, Grafana, Cloudwatch etc. … have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains More ❯