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secure deployment of applications and infrastructure in a highly classified environment. Your responsibilities will include: Developing, maintaining, and optimising CI/CD pipelines Administering Kubernetes (K8s) clusters and containerisation frameworks Supporting migration and integration of services into a GCP-aligned architecture Delivering automation via IaC tools (Terraform, Ansible, scripting) Supporting … operate effectively in a classified Defence Digital environment. Essential experience: Current SC clearance Proven DevSecOps engineering experience within secure or complex environments Strong Kubernetes (K8s) and containerisation experience Experience with GCP or willingness to operate within a GCP-aligned environment Hands-on CI/CD tooling — Jenkins/GitHub Actions

compute capabilities Developing and maintaining CI/CD pipelines across secure environments Delivering Infrastructure as Code and automation at scale Supporting containerised workloads across Kubernetes (K8s) environments Troubleshooting issues across cloud, infrastructure and application layers Ensuring secure-by-design practices are embedded throughout the stack Participating in deployment to Estonia … proactive approach to solving complex technical challenges. Essential experience: Current SC clearance Multi-cloud experience (GCP essential; GDC desirable or willingness to learn) Kubernetes (K8s), containers and cloud-native tooling CI/CD experience (Jenkins, GitHub Actions, GitLab or similar) Strong automation/IaC experience (Terraform preferred) Solid Linux administration

with code repository management, code merge and quality checks, continuous integration, and automated deployment and management using Ansible, Jenkins, and Git. Knowledge of Docker, Kubernetes, Puppet, Chef, Maven, Ant, Ivy, and UrbanCode would be advantageous. Experience in DevSecOps, including secret management, tools integration to harden the baseline, and privilege management.

Azure, or GCP. Strong skills in CI/CD tools (Jenkins, GitLab CI, Git, Maven, Gradle Experience with containerization and orchestration (Docker, Kubernetes Solid understanding of relational and NoSQL databases (Oracle, PostgreSQL, MySQL, MongoDB Strong analytical, debugging, and problem-solving skills. Experience with Agile/Scrum project methodologies. Excellent communication

engineers and drive technical excellence across teams. Desirable Experience in the public sector or working with GDS-aligned projects . Knowledge of containerisation (Docker, Kubernetes). Familiarity with event-driven architecture, Kafka, or AWS SNS/SQS . Understanding of security best practices and API authentication (OAuth2, OpenID Connect).

post-employment ethics letter will be required if employment with VSolvit is offered Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Understanding of CI/CD pipelines and DevOps practices Experience working with microservices architecture and distributed systems Strong communication skills and ability to work

implementation and delivery 3+ years of experience with monitoring tools (Splunk or Zabbix) 3+ years of experience with Container orchestration services including Docker or Kubernetes 3+ years of experience working with Agile Development Practices 3+ years of experience working in SRE environment Capital One will consider sponsoring a new qualified

Code using Terraform and Ansible CI/CD pipeline development with GitLab CI, Jenkins, or GitHub Actions Containerisation and orchestration using Docker and Kubernetes Scripting in Python, Bash, or PowerShell Monitoring and logging with Prometheus, Grafana, and ELK Stack Secure DevOps practices aligned with UK Government and MoD standards Experience

tools, or incident response. Knowledge of networking fundamentals and APIs. Excellent problem-solving and communication skills. Nice to Have Experience with containerization (Docker, Kubernetes). Exposure to monitoring tools (Grafana, Datadog). Cloud certifications or security accreditations. Understanding of Agile methodologies. Interest in automation, security testing, or threat detection.

tools, or incident response. Knowledge of networking fundamentals and APIs. Excellent problem-solving and communication skills. Nice to Have Experience with containerization (Docker, Kubernetes). Exposure to monitoring tools (Grafana, Datadog). Cloud certifications or security accreditations. Understanding of Agile methodologies. Interest in automation, security testing, or threat detection.

beneficial Cyber security Vulnerability management (e.g. tenable) IDAM (e.g Azure AD, Keycloak) Virtualisation and Containerisation Containerisation (e.g. Docker, Podman) Container management (e.g. Kubernetes) Architectural styles Microservices Serverless DevSecOps tooling Version control (e.g. Git) Continuous Integration/Deployment (e.g. Gitlab CI/CD) Infrastructure as code (e.g. Terraform, Puppet, Ansible

methodologies, Infrastructure as Code, and configuration management. Experience architecting automation solutions for large-scale enterprise environments. Strong knowledge of containerization platforms and orchestration (Docker, Kubernetes, Helm Familiarity with networking, system administration, virtualization, and microservices architecture. Excellent ability to document high-level and low-level architectural solutions. Strong analytical, problem-solving

Azure DevOps Pipelines Infrastructure-as-Code Terraform, Ansible, AWS CloudFormation, Pulumi Cloud Platforms AWS, Azure, GCP, or private cloud (OpenStack) Containerization Docker, Podman Orchestration Kubernetes (EKS, AKS, GKE), Helm, OpenShift Version Control Git, GitLab, Bitbucket Monitoring & Logging Prometheus, Grafana, ELK Stack, Splunk, Datadog Security & Compliance HashiCorp Vault, Snyk, SonarQube, Trivy

Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using tools like Langsmith or Langfuse. Collaborate in agile teams and mentor junior engineers.

with configuration management tools (e.g. Ansible, Chef, Puppet). Hands-on experience with Terraform for infrastructure as code. Expertise with containerisation and orchestration (Docker, Kubernetes, OpenShift, or Swarm). Skilled in CI/CD pipeline tools (e.g. Jenkins, GitLab CI). Proficient with monitoring and observability tools (Grafana, Prometheus, InfluxDB

GCP. Proven experience implementing and managing CI/CD pipelines (Jenkins, GitLab, GitHub Actions, or similar Solid understanding of containerization and orchestration tools (Docker, Kubernetes Experience with unit testing, automated testing frameworks, and debugging tools. Excellent communication, leadership, problem-solving, and decision-making skills. Preferred Skills Experience working with GraphQL

Java, .NET, Node.js, Python or similar) before moving into architecture ? Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI), containerisation (Docker, Kubernetes, OpenShift) ? Knowledge of data platforms, integration with legacy systems, scalable authentication/identity (OAuth2, OIDC, SAML) ? Comfortable working in multi-supplier environments, secure networks

Desired experience with Kafka and Jenkins is a plus * Cloud experience with AWS, Azure, and/or Google Cloud Platform preferred * Experience with Docker, Kubernetes, and/or developing applications for a major public cloud provider is a plus * Professional experience in corporate Information Technology and/or Consulting * Experience

strategies, repository management, and integrating with CI/CD pipelines Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure

principles/patterns and modern frameworks (e.g. Spring Boot, SpringFramework)* *Hands on experience developing Micro Services architecture patterns including buildingand deploying containerized applications (Docker, Kubernetes).* *Experience with messaging queues such as gRPC, RabbitMQ, Kafka* *Hands-on experience setting up, configuring, and maintaining CI/CD pipelines forautomated application delivery

Strong grasp of IaC (Terraform or provider-specific tools) and cloud platforms such as AWS, Azure, GCP. - Experience with containerisation and orchestration (Docker + Kubernetes/ECS/equivalent). - Competence in CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions, CircleCI). - Configuration management or provisioning tools

TypeScript. Extensive experience with Express.js or similar frameworks. Solid understanding of RESTful API principles, GraphQL (preferred Experience with microservices architecture and containerization (Docker, Kubernetes Proficiency with databases such as MongoDB, MySQL, PostgreSQL. Knowledge of authentication/authorization protocols (JWT, OAuth Hands-on experience with cloud deployment and serverless technologies. Familiarity

Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.

Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.

Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.