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Back End Developer
Build and maintain TypeScript backend services and AWS infrastructure for public-sector systems, using Terraform, CI/CD, and DevOps practices.
SC Cleared DevOps Engineer
Deploys and maintains Kubernetes-based platforms for enterprise clients, using AKS, Terraform, and DevOps tooling while ensuring compliance with governance and security standards.
DevOps Engineer - London
Design and maintain CI/CD pipelines for Dynamics 365 and Power Platform on Azure, using IaC, PowerShell, Docker, and Kubernetes to automate deployments and ensure secure, scalable cloud solutions.
Senior DevOps Engineer - Manchester
Build and secure cloud infrastructure using AWS, Terraform, Docker and Kubernetes, and automate deployments with CI/CD pipelines in an Agile team.
Data Engineering Manager
Salary: £85,000 - 85,000 per year Requirements: We need hands-on cloud data engineering experience on AWS; this is non-negotiable. We need people management and team leadership experience. We need strong SQL and T-SQL…
DevOps Engineer
Salary: £? - ? per year Requirements: Strong hands-on experience with AWS Strong hands-on experience with Terraform Strong hands-on experience with Kubernetes, with EKS desirable Strong hands-on experience with Docker…
Principal Data Engineer - Kings Cross
Salary: £100,000 - 100,000 per year Requirements: Extensive experience in Data Engineering, with time spent in a Lead or Principal role Strong background working in a cloud-native data platform Hands-on experience with…
Senior AI/DevOps Engineer (Azure)
Build and run the Azure-based infrastructure that powers an AI merchandising platform, owning CI/CD, Kubernetes, and LLM integrations while ensuring scalable, observable production systems.
Senior Analyst-IT & Information Security_2742
A senior IT & security analyst responds to cybersecurity incidents, tunes WAF policies, and performs forensic analysis to protect Allianz’s systems and data.
DevOps Engineer
Build and maintain the cloud infrastructure, CI/CD pipelines, and observability for a B2B SaaS analytics platform, ensuring reliability and security as it scales.
Full-Stack Developer
Builds a TypeScript/React frontend and Python/PostgreSQL backend for a B2B analytics platform that turns business data into dashboards and insights.
AI Cloud Platform Engineer (Remote)
Design and deploy AI-powered cloud infrastructure using Terraform, Kubernetes, and RAG pipelines on Azure/AWS/GCP for a large-scale system serving ~300k users.
Data Engineer (CMS-HIOS)
Build and maintain scalable data pipelines and warehouses for government digital services using Python, SQL, AWS, and Spark to transform raw data into actionable insights.
DevOps / Platform Engineer
DevOps/Platform Engineer builds and maintains CI/CD pipelines, secret management, artifact repositories, monitoring, and IaC for Linux-based infrastructure.
Staff Data Engineer
Lead the architecture and delivery of MoonPay’s data platform, building scalable real-time and batch pipelines, governance, and ML enablement using GCP, Kafka, BigQuery, and Kubernetes.
Senior DevOps Engineer
Senior DevOps Engineer designs, deploys, and secures multi-cloud infrastructure for government clients using Azure DevOps, Bicep, and CI/CD pipelines while ensuring FedRAMP and NIST compliance.
Senior DevOps Engineer - AWS & AI Platform (f/m/x)
Build and maintain AWS cloud infrastructure with Terraform for a logistics-focused AI platform, automating CI/CD, containerized apps, and MLOps workflows.
Senior Full-Stack Java+React Developer
Build and maintain a Java/Spring Boot backend service layer that integrates telecom suppliers via REST APIs and workflow engines, while contributing to a ReactJS frontend integrated with these APIs.
Product Backend Modeling Engineer
Backend engineer building a unified logistics platform that replaces spreadsheets and calls with real-time TMS/YMS software for industrial plants, handling dock queues, freight contracts, and eCMR/eFTI compliance.
Machine Learning Operations Engineer (f/m/div.)
Build and maintain the MLOps platform for Bosch’s AI products, using Terraform, Kubernetes, and Azure to automate the ML lifecycle from data ingestion to model monitoring.