18,773 Outstaffing jobs
Open tech roles at outstaffing companies that place engineers with clients.
Business Analyst
Contract Business Analyst (outside IR35, £420–£520/day) joining the discovery phase of a large-scale cloud transformation programme, helping migrate a highly customised on-premise Microsoft Dynamics 365 Business Central environment to the cloud. Mainly remote from London/Surrey with occasional travel.
Lead Power Platform Developer
Hands-on technical leadership role designing, developing and delivering Microsoft Power Platform solutions for a client organisation, engaged via Sellick Partnership on an initial 10-month contract at £600/day inside IR35, working from London with one on-site day per week.
Cyber Security Assurance Consultant
Contract Cyber Security Assurance Consultant (£630/day, outside IR35, 12 months) on a major cyber transformation programme in a highly regulated environment. The role drives security assurance and challenges technical decisions across business-critical Operational Technology (OT) and cloud platforms, with 1 day per week on site in Manchester.
Infrastructure Engineer
12-month contract (outside IR35) Nutanix Infrastructure Engineer supporting a major infrastructure transformation at a large utilities organisation, deploying Nutanix across roughly six operational sites. Hybrid role based in Brighton (3 days onsite, 2 remote) working with Nutanix AHV/Prism Central, VMware vSphere/ESXi and NSX networking.
DevSecOps Engineer
DevSecOps consultant at Amaris Consulting supporting a client project in the automotive sector in Gothenburg. Day to day: embedding with development and platform teams to integrate security scanning and controls into CI/CD pipelines, handle vulnerabilities and supply-chain risk, secure cloud/container platforms, and coach teams using cloud services, Terraform/CloudFormation, and security automatio
Lead Data Scientist (ID: 4139)
Lead Data Scientist in Amsterdam: design, build and deploy production ML models in Python, own MLOps and CI/CD pipelines for model deployment/monitoring, and mentor the team while collaborating with data engineers and business stakeholders. Stack: Scikit-learn/TensorFlow/PyTorch, cloud, Docker, Kubernetes, Git.
Azure Cloud Engineer (ID: 4131)
Manage and optimize Microsoft Azure cloud environments day to day: deploy VMs, networking and storage, automate provisioning with Terraform/IaC, maintain CI/CD pipelines, run containerized workloads on AKS/ACR, and handle monitoring with tools like Grafana and Elastic. Requires 4-6 years in IT infrastructure, cloud, or DevOps.
Data Scientist – Snowflake & Database Administration (ID: 4136)
Senior data role at STAFIDE (IT staffing firm) in Amsterdam: design and administer Snowflake, Oracle, and PostgreSQL database environments, build and monitor ETL/ELT pipelines, and migrate legacy data to modern cloud platforms using SQL, Python, and Azure.
Senior DevOps Engineer - Azure (ID: 4134)
Senior DevOps Engineer (8–10 yrs) in Amsterdam building and running CI/CD pipelines with Azure DevOps, automating infrastructure via Terraform and ARM templates, and operating containerized workloads on Docker/AKS with monitoring via Azure Monitor and Zabbix. Role is placed by staffing firm STAFIDE.
Database Administrator - Oracle & Azure (ID:4129)
Database administrator role in Amsterdam managing Oracle 19c+ databases alongside Azure SQL Database and Azure PostgreSQL: handling incidents, change requests, performance tuning, security, and HA/DR, with T-SQL and PowerShell automation. Requires 8–10 years of DBA experience and a Microsoft DBA certification.
IT Support, part-time to a company within circular grocery
Part-time (50%, 20 hrs/week) junior IT support role at a circular grocery company in Stockholm, hired via Academic Work. Day-to-day mixes first-line helpdesk with IT security: on-site/remote user support, device management with Microsoft Intune, Entra ID and Google Workspace, plus patching, Defender alert triage, SSO, 1Password and GDPR tasks.
CUDA / AI Engineer
An engineer/researcher role focused on optimizing LLM inference on modern GPUs: developing and tuning CUDA kernels, analyzing GPU memory and execution bottlenecks, and benchmarking latency and throughput with frameworks like vLLM, SGLang, and TensorRT-LLM. Deep CUDA/GPU programming and low-level performance debugging skills are central to the day-to-day work.