DevOps

Full-Stack Engineer FTC | AI Scale-up | Barcelona or Zaragoza (Hybrid)I’m partnered with a Series B scale-up, backed by significant funding, globally recognised and award-winning, looking for a full-stack engineer to join the team immediately.You’ll be building internal platforms and production tooling that sit directly alongside AI and research workflows. The work is practical, performance-driven, and used daily by engineers and researchers.What you’ll doBuild and maintain full-stack applications used to run, track, and analyse AI systemsDevelop frontend interfaces for data-heavy tools and dashboardsDesign backend services, APIs, and data models that support experimentation and automationIntegrate frontend and backend systems with a strong focus on reliability and clarityShip cloud-native services and iterate quickly with real user feedbackWork directly with researchers and product to turn evolving workflows into stable softwareHow the stack looks in practiceReact or Next.js with TypeScript on the frontendPython on the backend using FastAPI or DjangoAPI-first design with clean frontend to backend contractsSQL databases and data-intensive servicesDocker-based development with CI/CD pipelinesAWS for deployment and infrastructureIf you want a role where the software you write directly supports advanced AI systems in production, this is worth a conversation.

Backend Engineer FTC | AI Scale-up | Barcelona or Zaragoza (Hybrid)I’m partnered with a Series B scale-up, well funded, globally recognised, and award-winning, looking for a backend engineer to join the team immediately.You’ll be building backend systems that sit directly behind AI and research workflows. This role is about turning experimental code, data pipelines, and model outputs into reliable services that can be used, measured, and scaled.What you’ll doBuild and maintain backend services that power AI tooling and internal platformsDesign and own APIs used for experimentation, evaluation, and automationTurn research prototypes into stable, production-ready microservicesBuild data pipelines and background jobs for model execution and system workflowsIntegrate services across data, CI/CD, and ML systemsImprove performance, reliability, and observability of backend systemsWork closely with research, product, and frontend engineers on clear backend contractsHow the stack looks in practicePython or Go for backend servicesFastAPI or similar frameworks for API developmentREST and or gRPC for service communicationPostgreSQL or MySQL for relational dataDocker-based development with CI/CD pipelinesAWS for deployment and infrastructureEvent-driven components and background processing where neededIf you enjoy building backend systems that directly support real AI workloads in production, this is worth a conversation.

Cloud Engineer 37700Location: Galway,3 weeks working from home, 1 week in officeRate: €450 – €500 per dayDuration: Initial 6 months As a Cloud Engineer you will work within your Data Platform space, on our Change Data Capture (CDC) team. You will work with a highly collaborative, multi-functional technical team who are committed to improving the value of our technology solutions. Also work with business teams to develop solutions to business requirements and client problems. The team blends deep technology & business expertise with a passion for exploring and implementing new emerging technologies while working in an open and transparent way. You will work with the latest replication capabilities and industry best practices while using your passion for continuous learning to evolve our Data platform capabilities supported by dedicated learning days each week. The Expertise and Skills You BringKnowledge in data movement capabilities including, data streaming, data replication and change data capture.In-depth technical knowledge to Design , Deploy and Administer modern data replication platforms (e.g. GoldenGate, Fivetran, Striim).Experience in building and deploying data solutions in AWS and Azure using IAC tools like Opentofu/ Terraform.An advocate for software engineering best practices and principles.Hands on experience with Continuous Integration and Continuous Delivery/Deployment.Experience in mentoring and coaching other engineers in the team. Passion for continuous learning

IKP Platform Engineer (Kubernetes Automation) – Hiring ASAPStart Date: ASAPDuration: 6 months, with the opportunity to extend for a further 6 monthsLocation: Hybrid – 2 days remote, 3 days in the Sheffield OfficeRate: £400 - £450 per day inside IR35We have an opening for a IKP Platform Engineer to join Capgemini. You will be part of a team responsible for the end?to?end operation, automation and enhancement of a large?scale hybrid server estate supporting business?critical workloads, for end client HSBC.The Expertise we are looking for:Strong, real hands-on Kubernetes skills (not managed/cloud K8s services).Ability to operate, configure, maintain and troubleshoot clusters deployed on physical/VM infrastructure.Solid experience supporting cloud-native environments using on-prem or hybrid deployment models.Strong automation experience using: Ansible, Python, GitHub / Git, CI/CD tools (Jenkins or similar)Good understanding of Linux system engineering, networking fundamentals and container ecosystem toolsAbility to work across fulfilment and engineering tasks—flexible to take on any required technical activity.Experience implementing production changes, ideally in large enterprise environments.Strong troubleshooting and debugging skills across infrastructure, platform and automation layers.Ability to document, improve and standardise engineering procedures and automated workflows.

Senior Azure Cloud Engineer | Germany (Hybrid)I’m partnered with a firm that's been winning awards in data and engineering for decades, looking to hire a Senior Azure Cloud Engineer.You’ll design and implement Azure-based cloud platforms, supporting modern application and data workloads. Your work spans infrastructure design, automation, CI/CD and operational reliability. Projects are delivered in small teams of 5–10 people, with cloud engineers expected to take ownership of technical decisions.You bring a strong software engineering background and several years of hands-on Azure experience. You’re comfortable with infrastructure-as-code, CI/CD pipelines and cloud-native services, and understand how systems behave in production.Expect:• Design and build Azure cloud platforms using modern patterns• Implement IaC, CI/CD and automated deployment pipelines• Apply security, networking and cost-management best practices• Support data and application platforms running at scale• Work in small teams with real technical ownershipGerman fluency is mandatory.Hybrid in Germany across multiple locations. Client travel when required.If this feels like the right next step, send over your profile and we’ll take it from there.

Senior Data Engineer | Germany (Hybrid)I’m partnered with a firm that has been delivering complex engineering solutions for over five decades, combining strong commercial performance with a deeply technical culture. They are now hiring a Senior Data Engineer to strengthen their data delivery teams.You’ll build and operate cloud-native data pipelines on Azure and Databricks, covering batch and streaming ingestion, Spark-based processing and production-grade orchestration. You’ll work closely with data architects and data scientists, contributing directly to performance, reliability and cost efficiency. Projects are delivered in small teams of 5–10 people, so your work has visible impact.You bring 5 years of experience in data engineering. You’ve built ETL and ELT pipelines in production, understand distributed data processing and are comfortable working with Python, PySpark and SQL. Experience with Databricks a mandatory requirement.Expect:Build and optimise Spark-based data pipelines on DatabricksImplement ingestion, transformation and data modelling patternsTune performance, cost and reliability of production pipelinesSupport ML workloads through robust data foundationsWork closely with architects on platform-level decisionsGerman fluency is mandatory.Hybrid in Germany across multiple locations.If this feels like a good fit, send over your profile and we’ll take it from there.

Site Reliability Engineer – SC CLEARED - OUTSIDE IR35 – HIRING ASAP Start date: ASAP Duration: 6 Months Location: 2 days per week in Portsmouth office Rate: £450 - £488 per day OUTSIDE IR35 SECURITY CLEARANCE REQUIRED Summary:   As a Site Reliability Engineer (SRE), you will support the reliability, availability, performance, and security of a shared Platform as a Service (PaaS) used by multiple delivery teams. Operating at SFIA Level 4 (Enable), you will apply established SRE practices to ensure platform stability, automate operational tasks, and improve service resilience.You will work closely with platform engineers, developers, security, and live service teams to support the safe, efficient delivery of digital services in line with DDaT and government standards and in a timely fashion. Responsibilities: Service reliability & operations.Maintain and improve the availability, reliability, and performance of the PaaS.Support live services, including incident response, investigation, and resolution, following agreed runbooks, and escalation paths.Participate in on-call rotas and contribute to incident post-incident reviews (PIRs), identifying root causes and improvement actions. Nominal Service hours are 09H00 to 17H00 week daily.  Out-of-hours support is pre-arranged as required (rare).Monitor platform health using logs, metrics, and alerts, proactively identifying, and resolving issues.Automation & continuous improvementAutomate repeatable operational tasks to reduce toil and improve platform reliability.Contribute to infrastructure and configuration management using Infrastructure as Code (IaC) approaches.Support continuous improvement of operational processes, reliability patterns, and resilience practices.Platform support & collaborationSupport development teams consuming the PaaS, helping them adopt platform standards and reliability best practices.Work with security and compliance teams to ensure the platform meets government security, resilience, and audit requirements (JSP453).Contribute to platform documentation, runbooks, and knowledge sharing.Collaborate within multidisciplinary teams using agile and DevOps practices.Change & Release SupportSupport safe deployment and release processes, including monitoring changes in live environments.Assist with capacity planning and performance testing activities.Ensure changes are implemented in line with change management and live service standards.Skills:Live service operations & incident management experienceStrong automation & scripting capabilityK8 & Cloud compute platform (e.g. AWS) experienceExperience supporting live digital services in a production environment.Practical knowledge of cloud platforms and PaaS concepts (e.g. managed computer, networking, storage, CI/CD).Experience with container platforms (e.g. Kubernetes) or managed PaaS offerings.Experience with monitoring, logging, and alerting tools (e.g. Promethus, Grafana, Elastic).Ability to diagnose and resolve technical issues using established processes and tooling.Experience writing scripts or automation using languages such as Python, Bash, or similar.Understanding of reliability engineering concepts, including incident management, resilience, and failure modes.Ability to work independently on defined tasks and contribute effectively within a team.Experience using Infrastructure as Code tools (e.g. Terraform, CloudFormation).Nice to have skills:Experience working in a government or regulated/secure environment.Familiarity with SRE practices such as error budgets and blameless post-incident reviews.Knowledge of security and compliance controls relevant to live services.Experience using Jira and wider Atlassian project suite (e.g. confluence)

DevOps (AI/ML) 37482 Start date: ASAPDuration: 11 monthsLocation: 1 week in office and 3 weeks from home - 1 Waterside, Kingswood Ave, Dublin IrelandRate: €450 - €500 per day The Experience We're Looking ForYou will utilise your experience working in large-scale, sophisticated systems development initiatives.Significant experience working on AI/ML teams giving you exposure and understanding of the entire machine learning lifecycle.Experience using CI/CD tools like Jenkins, uDeploy or Concourse to establish CI/CD pipelines to deploy code and services to AWS preferably (or similar Cloud Provider), familiarity with IAM roles and policies and other security related artefacts, certificates etc…Hands-on experience using AWS Services especially related to data and analytics - S3, EC2, Lambda, Glue, SNS, SQS for exampleDemonstrated experience in deploying data pipeline and OLTP systems in AWS; using platforms like RDS/Postgres and/or data warehousing tools like SnowflakeExperience maximising tools like EC2 and EKS to run compute for API hosting on AWS ideallyHands-on experience in assisting with (EDA) and feature engineering, Deployment, Tuning, Monitoring, Measurement and Retraining using ML infrastructure and MLOps in the Cloud (AWS preferred).The Skills You BringA dedication to your craft and experience in software development, deployment, API development and UI developmentExceptional SQL skills and experience performing complex data analysis on multiple Data Platforms (Snowflake, RDS/Postgres, DynamoDB)Working with Orchestration/DAGS tools (Airflow, Prefect, Luigi, Kubeflow or equivalent)API development using Java (Springboot) and/or Python microservices infrastructure and deployment using containerisation (Docker) and container-orchestration systems such as KubernetesYour understanding of Model Development and Scoring (inference)Your technical leadership skills and ability to communicate with a highly diverse peer group, both verbally and in written communications.Your leadership skills, which enable you to lead several projects concurrently, collaborating with multiple teams and coordinating dependencies to deliver high quality AI/ML solutions.Nice to have or have an interest in learning;Experience with Cloud service provider ML ecosystem such as AWS SageMaker, Azure ML and MLOps platform such as MLFlow, ModelOp, Seldon or equivalentExperience with AWS and Azure AI ecosystems such as Textract, Comprehend, Kendra, Cognitive Services, etc