such as TensorFlow, PyTorch, or Hugging Face. Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. Hands-on experience with Docker, Kubernetes, and container orchestration. Expertise with Databricks, including ML workflows and data pipeline management. Familiarity with tools like MLflow, DVC, Prometheus, and Grafana for versioning More ❯
Advanced Search, Discovery & Insights, Company Profiles, Workflow & Efficiency, and many more. Our stack Java 17/21, Spring Boot (MVC, JDBC, Security). Postgres, Docker, Prometheus, K8s, Elastic. Team Stream Development Lead, 2 BE, 1 FE, 1 SDET As a qualified expert, You will Help architect, design, and develop complex More ❯
translate complex business requirements into technical solutions Desirable skills: Experience with cloud platforms, such as AWS, GCP and Azure, and containerisation technologies, such as Docker and Kubernetes Experience with data pre-processing, feature engineering and model evaluation techniques Familiarity with reinforcement learning algorithms and applications Knowledge of software engineering best More ❯
industries. Able to identify requirements and translate into actionable design documentation. Understand key software and integration design patterns. Experience with DevOps tools (e.g.Git, Jenkins, Docker, and Kubernetes). Excellent problem-solving, communication and collaboration skills. Proven history of working within a complex and diverse delivery environment. The ability to understand More ❯
worked with peers of different levels to complete projects collaboratively. Our technology stack: Python (including FastAPI, OpenTelemetry, procrastinate, SQLAlchemy, Uvicorn), Postgres, MySQL, Liquibase, Retool, Docker, AWS Who you are: Seven or more years professional experience in software engineering Proven experience leading the development of significant new functionality Proficiency in writing More ❯
industries. Able to identify requirements and translate into actionable design documentation. Understand key software and integration design patterns. Experience with DevOps tools (e.g.Git, Jenkins, Docker, and Kubernetes). Excellent problem-solving, communication and collaboration skills. Proven history of working within a complex and diverse delivery environment. The ability to understand More ❯
Commitment to code and product quality, including familiarity with test automation, TDD, or BDD methodologies. Familiarity with DevOps tools, processes, and concepts such as Docker, Kubernetes, CI/CD pipelines, and observability. Excellent communication skills with a collaborative mindset-thriving in cross-functional teams with engineers, product managers, and designers. More ❯
a fast-paced, innovative environment. The tech stack includes Java 17/21, Spring Boot 2.x/3.x, React v16, MaterialUI v4, Node.js - v12, Docker, Kubernetes, Ansible. So, what will you be doing? Solving technical problems within distributed environments Participating in design and code reviews Building APIs that need to More ❯
Experience with modern development tools and practices, such as Git, CI/CD pipelines, automated testing frameworks (e.g., Jest, Mocha), and containerisation technologies (e.g., Docker). Knowledge of RESTful API design and development, and familiarity with web services architecture. Ability to write efficient, secure, well-documented, and clean JavaScript code. More ❯
real-world data and scenarios to assess LLM accuracy and output quality. Deploy applications in Kindred Cloud environments, ensuring scalability and monitoring. Use Kubernetes, Docker, Helm and ArgoCD to manage deployments. Documentation & Knowledge Transfer: Deliver technical documentation covering system architecture, APIs, and workflows. Conduct training sessions for internal teams to More ❯
working closely with people of different specialisms within your team and across the business. AWS, Serverless, Terraform, C#, .NETCore, TypeScript, Node.js, GraphQL, React, Snowflake, Docker, Grafana GitHub for source control and continuous integration Developing solutions using Generative AI models Robust and performant cloud/serverless applications, with a focus on More ❯
for experience in the following skills: Robust programming skills (Python is essential) An understanding of ML models, including versioning, deployment and training. Experience with Docker, Linux/Unix CLI, Git, and testing. Experience with one of a major cloud platform (preferably AWS, or Azure platform). Knowledge of data governance More ❯
. Exposure to Sovereign Cloud, Public Sector, or security-compliant development environments. Familiarity with SAP tooling and internal platforms is advantageous. Knowledge of TypeScript , Docker, or GraphQL is a plus. Why Join Us? Join a highly motivated and technically strong team that is building the next generation of secure, automated More ❯
. Experience and understanding of Kafka messaging bus. Experience in using monitoring tools like Nagios, Grafana, Prometheus and Kibana is desired. Deployment environment: Kubernetes, Docker, microservices. Experience on Talos Kubernetes is an advantage. Deployment experience in cloud-based environment AWS/Azure/GCP/OpenShift is an advantage. Experience More ❯
PHP, C#, .NET Core, React, Python, AWS EKS. Experience working on AI projects ideal! Strong knowledge of Git, CI/CD pipelines, and containerization (Docker/Kubernetes). Experience working in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you More ❯
The below is sample snapshot of some tools we use: Frameworks: Serenity BDD (Selenium + RestAssured), and several bespoke frameworks. DevOps: AWS, Jenkins, Drone, Docker, Kubernetes, Terraform.? Performance testing: JMeter. Other tools: Browserstack, Axe, ZAP, SonarQube. Observability and Monitoring: ELK, Grafana, Dynatrace. What you will do Your main day to More ❯
pipelines (e.g., Azure DevOps, GitHub Actions, Concourse). Expertise in scripting languages such as PowerShell, Bash, or Python. Solid understanding of containerization technologies (e.g., Docker, Kubernetes) and orchestration frameworks. Hands-on experience with monitoring and logging tools such as Azure Monitor, Grafana, or Prometheus. Familiarity with security best practices and More ❯
similar languages You've got experience with (or are at least excited to learn more about!): Front-End/UX design and prototyping Linux, Docker, Kubernetes, RabbitMQ, AWS, SQL You appreciate testing and code review processes to keep standards high. You get a thrill out of solving problems - big or More ❯
token services, protocols such as OAuth2) Working knowledge of cryptography including encryption, signing and digital certificates Principles of securing mobile applications and web services Docker or Kubernetes and infrastructure as code Event driven streaming technologies Logging and monitoring, networks, firewalls, load balancers, DNS, CDNs Working knowledge of agile DevSecOps environments More ❯
warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable. Comfortable working with CI/CD tools, version control, and containers (e.g Git, Jenkins, Docker). Understanding of data governance, security best practices, and compliance frameworks such as GDPR or HIPAA. Familiarity with project management tools and Agile ways of More ❯
transformation workflows, particularly using DBT. Experience with Terraform to define and manage cloud infrastructure through code. Desirables: Familiarity with GCP. Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to feature store concepts and practices (Feast or similar). Interview process Interviewing More ❯
principles, practices and tooling Expertise in AWS Expertise in using tools like Terraform to manage infrastructure configuration Expertise with containerisation and orchestration tools like Docker and Kubernetes Knowledge of building and maintaining CI/CD pipelines for efficient software delivery. Nice to have: Coding skills in Python Knowledge of other More ❯
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 More ❯
