Microservices Design Patterns and Architecture Demonstrable experience in build/run/deploy within a containerized environment & sidecar concepts Cloud API Gateway experience with either APIGee, Endpoints, or Mulesoft, Kubernetes, GitHub, GitLab, DevOps Pipeline (e.g., Terraform, CLI, Ansible, Puppet, etc.), Container Registry, Docker Experience with Google Cloud Services Additional knowledge requirements: E-Commerce Call center care systems - e.g., IVR integrations More ❯
e.g. Terraform, ARM/Bicep, etc.) Knowledge of cloud security best practices and compliance standards (e.g. ISO 27001, SOC2, GDPR) Experience with containerisation and orchestration technologies (e.g. Docker, OpenShift, Kubernetes) Strong understanding of networking concepts and technologies Relevant cloud certifications (e.g. Azure Solutions Expert, Google Cloud Professional Architect) are a definite plus Knowledge of ECB/DORA standards applicable to More ❯
on expertise in DevSecOps practices, particularly security automation in CI/CD and infrastructure-as-code pipelines. Deep understanding of modern DevOps tooling (e.g., GitHub Actions/CircleCI, Terraform, Kubernetes, Docker) with secure configurations. Experience implementing security controls in cloud-native environments (e.g., AWS or Azure) including IAM, network policies, and container security. Proven track record of using tools such More ❯
and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across different Operating Environments e.g. On Premise and Cloud. Experience operating Kubernetes Clusters through the development, testing and production lifecycles including the investigation of Software Deployment Problems within the cluster. Experience developing automated solutions and scripts using Python to enhance operational efficiency More ❯
tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding of containerised services, particularly in Kubernetes environments * Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies * Experience working in air-gapped or secure environments, or at minimum, a More ❯
Central London, London, United Kingdom Hybrid / WFH Options
STK Recruitment
security certifications (preferred) Extensive knowledge of network security principles and best practices. Understanding of general security concepts around security operations. Understanding of AI principles and architecture, including cloud computing, Kubernetes infrastructure and cloud security principles Strong problem-solving and troubleshooting skills, with a track record of resolving complex issues. Excellent communication and interpersonal skills, including the ability to explain technical More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Randstad Technologies Recruitment
Role: Adoption Software Engineer - Authorisation Location: London (Hybrid - 2 days per week) Contract Length: 6 Months We are looking for a highly skilled Adoption Software Engineer to join a leading global financial institution in London. This is a fantastic opportunity More ❯
and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating closely with data scientists to integrate self-hosted LLMs and analysis models Working with platform engineers to optimise performance in hardware-constrained deployments What You’ll Bring: Expertise … in Python and/or Go for backend development in secure, distributed systems Experience working with Kubernetes, orchestration tools (e.g., Argo), and message buses like Kafka Practical knowledge of Postgres or similar databases Proven experience building real-time or batch AI/ML pipelines with strong API design (Bonus) Exposure to LLMs, vector databases, transcription pipelines, or RAG systems (Bonus More ❯