DevOps

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 an engineering-led consultancy that focuses on building and operating secure, scalable cloud platforms 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

Senior Infrastructure Product Manager - AI Cloud PlatformThis is another fantastic role with our exclusive AI Cloud partner who are continuing their expansion with the hiring of Senior Product Manager focusing on their hardware and bare metal infrastructure side of the house. It's a chance to join a fast-moving AI infrastructure team building the next generation of cloud, compute and ML platform products.This role requires someone from an engineering background with a strong hardware focused skillset, but who also has experience taking these hardware components and automating them through software. Day to Day:Lead product strategy, roadmap and execution across AI platform and ML productsTranslate complex technical requirements into clear specs, stories and deliverablesPartner closely with engineering on discovery, planning and deliverySupport sales calls, gather customer insights and champion customer-driven developmentRole Requirements:Proven experience owning technical products end-to-endStrong hands-on Infrastructure and hardware engineeringDeep understanding of cloud-native infrastructure (Kubernetes, containers, orchestration, observability)Experience with cloud platforms, SaaS and MLOps toolingA developer/product background with the ability to operate in ambiguityPassion for building next-generation AI/ML platform toolsExposure to Nvidia GPU's If you want to shape a high-impact AI platform and work at the intersection of cloud, ML and product strategy, this role is built for you.It's a fully remote role if you're based in the UK and comes with excellent salary and a top class benefits package. If you'd like to know more, send in your CV or contact Adam Whitehurst at Trust in Soda for more info.

Senior Site Reliability Engineer | Spain (Hybrid)An opportunity to join a high growth, late stage technology company operating at significant scale. The business supports thousands of customers globally and is investing heavily in reliability, platform maturity and engineering quality as it continues to grow.This is a true senior SRE role for someone who has been through scaling systems and teams, and is ready to lead reliability initiatives that span services, squads and stakeholders.The roleYou will operate at the intersection of software engineering, cloud infrastructure and reliability engineering. This role goes beyond execution and delivery. You will be expected to design, plan and lead initiatives, shaping how reliability, observability and incident management are implemented across the organisation.You will partner closely with engineering teams, influence architectural decisions early, and help define how reliability is measured and improved as the platform scales.Your soft skillsWe are looking for engineers who have:• Led initiatives across multiple teams or domains rather than working solely within one squad• Designed and evolved systems with clear reasoning around trade offs, failure modes and long term impact• Strong communication skills and confidence presenting technical decisions in larger group settings• Experience in scale ups or mid sized tech environments where structure is still evolving and ownership is highTechnical backgroundYou bring strong depth across:• Cloud infrastructure, ideally AWS, with solid networking and service level understanding• Containers and orchestration such as Kubernetes, ECS or similar• Infrastructure as Code using tools like Terraform, Pulumi or CloudFormation• Observability and monitoring including metrics, logging and alerting using tools such as Prometheus, Grafana, DataDog or CloudWatch• CI CD and automation practices with a focus on reliability and safetyYou also have a strong software engineering background, with experience building and operating systems in languages such as Python, Node.js, Ruby or similar, not just scripting.Reliability mindsetYou are comfortable with:• Defining and using SLOs and SLIs to make reliability measurable• Using error budgets to guide engineering priorities• Leading or participating in incident response and post incident improvement• Improving production readiness, on call quality and reducing recurring failure patternsWhy this role stands out• High impact senior role with real ownership and influence• Opportunity to shape reliability practices in a growing engineering organisation• Strong engineering culture with an emphasis on autonomy and trust• Competitive salary, equity and a flexible hybrid working modelIf you are a senior engineer who enjoys designing systems, leading initiatives and improving reliability at scale, this role offers the scope and autonomy to make a real impact.

Backend Architect | Python | AI start-up | Germany (remote, onsite 1 x quarterly)I'm partnered with an AI start-up backed by fresh funding looking for a Backend Python Architect.The team is senior, engineering-led, and drawn from top-tier tech environments, with experienced leadership and real technical ambition.You are a backend architect or very senior Python engineer who enjoys starting with a clean slate. You’ll define backend architecture, APIs, and data models, designing systems that are scalable, secure, and built for low-latency, data-intensive workloads. You’ll work closely with infrastructure on Kubernetes-based orchestration and collaborate daily with frontend and UI UX to deliver a cohesive end-to-end platform.You have strong Python experience in production systems and a deep understanding of distributed systems, modern backend frameworks, and architectural trade-offs. You care about security, observability, and resilience, and you’re comfortable guiding technical decisions across teams.Added bonus if you have experience in Kafka or RabbitMQ, WebSockets or server-sent events, Prometheus or ClickHouse, and databases such as PostgreSQL, Redis, or MongoDB.Why this role stands out• Architect a complex AI backend from day one• Senior team from leading global tech companies• Competitive salary with flexibility and equity options• Flat structure with real technical ownershipIf you enjoy building serious backend systems and want to do it at the right moment in an ambitious AI company, let’s talk.