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DevOps Engineer with AWS To successfully build and deliver our next-generation cloud-hosted and cloud-native technology platforms. You will work within product teams responsible for the full software development life cycle, from conception to deployment. You will support the teams to ensure that solutions and products being developed consider all functional and non-functional requirements including support, maintenance, capacity, security and with a focus on performance. In addition, you will use your skills and experience to help implement DevOps practices across all of IT and drive the modernisation of our platform going forwards. Key accountabilities Build and maintain production and non-production environments to ensure high availability and cost optimization Build and maintain continuous integration and deployment pipelines to achieve fast, effect software delivery Improve performance and scalability of existing systems to meet functional and non-functional requirements Monitor and troubleshoot infrastructure related issues to minimize incidents and achieve resolution SLAs Develop and document best practices for application build and deployment (CI/CD) Contribute to ensuring that applications perform to user expectations and are continuously improved and maintained Work with the Lead Software Engineers, Architecture team and the Solution Delivery teams to contribute to the on-time delivery of solutions and applications Obtain guidance and approval as required to advance activities and resolve issues Communicate regularly regarding the status of current software delivery activities, actively participating in all relevant Scrum ceremonies Maintain an up to date working knowledge of industry best practice in the areas of software engineering and development, supporting and mentoring Solution Delivery teams where necessary BS/MS degree in Computer Science or 4-8 years related experience AWS Certification(s) such as Solutions Architect Pro, DevOps Engineer Pro, SysOps Admin, Developer Associate. Ability to work effectively within a team and autonomously with minimal supervision Be confident with Infrastructure as Code and code release strategies. Have experience with application and infrastructure monitoring. Experience implementing and designing cloud native security concepts, DevSecOps, or MLOps. Agile development techniques and Project management (SCRUM, KANBAN etc.) You’ll be familiar with a cloud-native approach You have a curiosity for new technologies and a thirst for automation, standardisation, continuous integration and continuous delivery Strong interpersonal skills with the ability to deal with individuals (internal and external) at all levels The ability to support people through change A strong problem solver and a self-starter with a ‘can do’ attitude. You will speak fluent English with excellent verbal and written communication skills Proficient with Git and Git workflows Exceptional understanding of AWS, containerisation technology, infrastructure and strong technical design skills. Experience with the full software development lifecycle and delivery using Agile practices. Automating cloud native technologies, deploying applications, and provisioning infrastructure. Infrastructure as Code, using CloudFormation, Terraform, or other tools. Azure DevOps Pipelines JIRA & Confluence Knowledge of IP networking, VPN's, DNS, load balancing and firewall. Develop platforms with scalability, security and performance in mind, leveraging the cloud. 5+ years of experience as a technical specialist. 2+ years of hands-on experience of programming in languages such as .Net, Java, C++, Python, Ruby, Go, Swift or similar object-oriented language. Experience with AWS - including but not limited to EC2, S3, RDS, Lambda and CloudFormation Experience of SQL and Windows severs would be beneficial Hands-on experience with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology. Proficient in leveraging CI/CD tools to automate testing and deployment An expert who can create tooling and automation which improve developer experiences and speed of delivery. Experienced in working in an agile environment (Scrum / Kanban). You’ll be someone who is happy to work independently or collaboratively on multiple tasks. Overall you are a highly motivated DevOps engineer who is passionate about writing excellent code, have strong communication skills and keen to continuously learn and share knowledge with other The Client is happy to consider 2 days a week in the office or at a push 2 days a month. Salary circa £60K - £80K + Benefits. Please do send your CV to us in Word format along with your salary and availability.

CONTEXTE: Experience: 5 ans et plus Métiers Fonctions : Production, Exploitation, Infrastructure, Devops Engineer Spécialités technologiques : Infrastructure, Cloud MISSIONS Nous sommes actuellement à la recherche d'un profil DevOps expérimenté sur le Cloud AWS. Vous intégrerez une équipe agile rattachée à la direction Cloud Platform. Dans ce cadre, vous serez chargé de l'automatisation des déploiements, de la gestion de l'infrastructure AWS, de la sécurité et de la conformité, de la gestion des logs et des alertes. Vous serez également responsable de la mise en place de solutions conteneurisées et serverless, tout en contribuant activement à l'amélioration des pratiques DevOps et de sécurité au sein de l'organisation. Expertise souhaitée - Forte expérience en ingénierie et en architecture de solutions d'infrastructure AWS - Expérience pratique des concepts suivants : AWS Landing Zone, AWS et de sécurité et stratégie multi-compte AWS - Connaissance approfondie des principes et de la conception de Terraform Infrastructure as Code (IaC). conception. - Expérience pratique de Gitlab et Gitlab-CI - Expérience avérée dans l'écriture de code de haute qualité en Python - Connaissance approfondie de l'infrastructure et des services AWS, y compris, mais sans s'y limiter, Fargate, Lambda, etc. Fargate, Lambda, S3, WAF, KMS, Transit Gateway, IAM, AWS Config, etc.. - Expérience avec les architectures conteneurisées & Serverless. - Expérience sur une solution SIEM, idéalement Splunk. - Expérience pratique des concepts suivants : Approche Shift-left & DevSecOps SBOM, SAST, services de sécurité et de conformité AWS (AWS Config, Inspector, Network Filewall, etc.) - Expérience des meilleures pratiques en matière de journalisation, de surveillance et d'alerte basées sur AWS Cloud et des outils standard de l'industrie, notamment Splunk, CloudWatch logs, Prometheus, Grafana, Alert Manager et PagerDuty.

Nous recherchons un Data Engineer | DevOps AWS (H/F) pour contribuer à la construction , à l’évolution et à la fiabilité d’un Data Lake stratégique , au cœur des projets liés à l’analyse de l ’expérience utilisateur. Vous interviendrez sur l’ensemble de la chaîne de traitement des données (ingestion, transformation, restitution) au sein d’un environnement AWS moderne, dans une logique d’ industrialisation , de performance et de qualité de service . Vos principales missions : • Maintenir et faire évoluer une architecture data scalable sur AWS , adaptée à des volumes importants de données hétérogènes ( logs, fichiers, API …). • Concevoir et structurer les différentes couches du Data Lake ( Landing, Bronze, Silver ) en lien avec les besoins métiers et les bonnes pratiques data. • Développer des pipelines de traitement de données robustes et automatisés ( ETL/ELT ), en batch ou quasi temps réel , via des services AWS : Glue, Lambda, EMR, Redshift, S3… • Orchestrer les flux de données et automatiser les traitements entre les différentes couches du Data Lake. • Assurer le MCO : surveillance, détection et résolution des incidents, fiabilisation des flux, documentation technique. • Intégrer de nouvelles sources de données aux formats variés ( API REST, fichiers plats, logs applicatifs …) tout en assurant sécurité et performance . • Mettre en place des mécanismes de gestion des rejets et de réconciliation pour garantir la qualité et la cohérence des données. • Participer à l’ amélioration continue de la plateforme (veille, refonte, optimisation) , dans une logique DataOps (CI/CD, qualité, tests, versioning). • Collaborer avec les équipes projet, data analysts, data scientists et métiers pour aligner les solutions techniques avec les usages attendus . • Documenter l’architecture, les traitements et les processus pour assurer la traçabilité, la maintenabilité et la capitalisation.