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We are looking for a Senior Data Engineer to join our Innovative Tech department. In this role, you will be responsible for designing, building, and optimizing robust data architectures that empower our clients to leverage their data effectively. You will work in a dynamic environment, tackling complex data challenges and collaborating with cross-functional teams to deliver scalable, high-performance solutions.

What you will do:

• Build: Develop and optimize ETL/ELT pipelines handling both batch and streaming data processing;
• Bridge the sources: Integrate diverse data flows seamlessly from various structured and unstructured sources;
• Design: Contribute to the design of scalable solutions using medallion architecture to ensure high quality and performance;
• Modernize the stack: Implement advanced cloud-based data architectures like Data Lakehouse and Delta Lake;
• Innovate: Evaluate emerging technologies and architectural patterns to continuously upgrade our infrastructure;
• Guarantee quality: Ensure strict adherence to data security, governance, and performance standards;
• Solve the complex: Tackle difficult data challenges to ensure the reliability of multiple distributed systems;
• Share the knowledge: Animate the Data Community by sharing documentation, training, and tech updates;
• Collaborate: Work closely with Data Science, BI, Product, and Architecture teams to align on goals.

As a Senior Security & Workplace Engineer, you will lead Microsoft 365 Security, Zero Trust, Compliance, and Modern Workplace transformation engagements from assessment through implementation and executive reporting; you will design secure, end-to-end architectures across identity, endpoint, collaboration, and governance, balancing user experience with robust security requirements; this role combines strategic advisory with hands-on delivery, giving you the opportunity to guide enterprise clients through their most critical Microsoft 365 transformation initiatives.

Your key responsibilities

• Lead end-to-end Microsoft 365 transformation engagements, from assessment and roadmap definition through implementation, migration, modernization, and security uplift for enterprise customers;
• Design and implement secure Microsoft 365 and Modern Workplace solutions (Entra ID, Intune, Microsoft Defender, Microsoft Purview, and Microsoft 365 collaboration services), embedding security, compliance, and governance requirements at every stage, and contributing to broader Azure security initiatives where required;
• Advise customers on identity, endpoint, collaboration, security, and governance strategies;
• Lead discovery workshops, architecture reviews, roadmap definition, and executive presentations;
• Design, deploy, and manage Microsoft 365 collaboration workloads, including Teams, SharePoint Online, Exchange Online, and OneDrive, for enterprise environments;
• Contribute to reusable architecture assets, best practices, and delivery methodologies;
• Diagnose and resolve complex technical issues across Microsoft 365 workloads;
• Provide operational support, continuous improvement, and performance tuning for Microsoft cloud environments;
• Provide architectural guidance and hands-on expertise during complex implementations and troubleshooting activities.

We are seeking a versatile Senior Java Full Stack Developer to join our Creative Tech Department. You will play a crucial role in the complete lifecycle of our client's applications, contributing to both new development projects and essential ongoing support. This includes exploring the integration of emerging technologies, including AI components.

Your key responsibilities

• Analyze user needs and propose adapted technical solutions;
• Design and develop robust, secure REST APIs and full-stack features;
• Write and maintain unit, integration, and automated tests (back + front);
• Drive continuous improvement through CI/CD, code reviews, and observability;
• Lead or contribute to AI/LLM integration projects across the stack;
• Collaborate with architects, product owners, and developers in Agile squads;
• Contribute to documentation, functional validation, and tech watch.

As a Junior DevOps Engineer within our Innovative Tech Department, you will join a client mission centered on Linux support, where solid system fundamentals meet modern DevOps practices; you will build your expertise across cloud infrastructure, automation, and CI/CD, while developing a genuine appetite for AI-driven operations and continuous learning; if you enjoy combining hands-on technical work with a curiosity for emerging technologies, this role is your springboard into the DevOps world.

Your key responsibilities

• Assist with the deployment and maintenance of cloud infrastructure (CI/CD, prod/staging environments);
• Help automate build, test and deployment processes through CI/CD pipelines;
• Contribute to containerizing applications (Docker) and their orchestration (Kubernetes);
• Write and maintain Infrastructure as Code and configuration management scripts (Ansible);
• Take part in system monitoring (monitoring, logging, alerting) and incident support on Linux environments;
• Collaborate with development teams to improve DevOps practices and environment reliability;
• Contribute to Linux-based support activities in a client environment, ensuring system stability and operational continuity.

Join the Devoteam Modern Workplace & AI Team.

We shape the future by harnessing the full power of Microsoft M365 and Copilot technologies — including Copilot Studio, Copilot Chat, M365, AI Foundry, Teams, SharePoint Online, Power Platform, Power Pages, Purview, and Entra ID. We turn technology into a force for positive change, driving efficiency, innovation, and AI‑powered transformation across people and business processes.

As a M365 Copilot Solution Engineer, you will drive the adoption and integration of next-generation AI within our clients’ digital workplaces. You will bridge the gap between business requirements and technical implementation, designing scalable AI solutions that transform how people work.

What you will do:

• Shape the Solution: Analyze business needs, define Copilot use cases, and translate requirements into scalable AI solutions;
• Design Architectures: Design end‑to‑end Copilot architectures that ensure Microsoft 365 environments are fully prepared, secure, and scalable—leveraging key services such as Microsoft Purview (DLP, Retention, Sensitivity Labels) and Entra ID (Identity, Conditional Access, Permissions Hygiene);
• Lead the Program: Serve as the technical and functional lead for Copilot programs, aligning business expectations, ROI objectives, and governance requirements with a robust and coherent technical implementation;
• Drive Extensibility: Define and drive Copilot extensibility strategies using Microsoft Copilot Studio—building custom Copilots and plugins—and integrating with line‑of‑business (LOB) systems through the Microsoft Graph API and the Power Platform;
• Drive Success: Define success criteria, track KPIs, lead POCs, and provide recommendations for enterprise-wide adoption;
• Empower Users: Deliver user onboarding, enablement, and training on Copilot for Microsoft 365 and custom-built copilots;
• Ensure Excellence: Provide ongoing technical support, troubleshooting, optimization, and continuous improvement for Copilot environments.

Are you the person clients turn to when their ServiceNow ambitions need structure, clarity and results ? As a Senior ServiceNow Consultant, you will lead implementation and transformation initiatives from the first workshop to go-live. You will act as a trusted advisor, turning business needs into scalable, best-practice ServiceNow solutions.

Your key responsibilities

Solution Design & Advisory

• Lead workshops and requirement-gathering sessions with business and IT stakeholders;
• Design ServiceNow solutions aligned with clients’ business objectives and platform best practices;
• Advise stakeholders on platform capabilities, out-of-the-box adoption and ServiceNow good practices;
• Define implementation roadmaps and platform governance models.

Implementation & Delivery

• Lead the implementation of ServiceNow modules, including Service Request, Incident, Problem, Change and Knowledge Management, CMDB & Discovery, and Hardware & Software Asset Management;
• Work hand-in-hand with process owners and technical teams to secure adoption;
• Oversee configuration, customisation and integration activities while keeping the platform clean and upgrade-safe;
• Define data migration strategies and validation approaches;
• Ensure solution quality through structured testing and go-live readiness activities;
• Mentor junior consultants and developers to raise the team’s overall expertise.

As a Senior Cybersecurity Consultant, you’ll work across different client environments: legacy systems, hybrid setups, regulatory pressure, and stakeholders who need things explained clearly. You won’t be expected to master every domain but you will be expected to go deep in at least two, and to grow beyond them.

These domains are : Cloud Security | Identity | Endpoint | Network | SIEM & Monitoring | Data Protection | Vulnerability Management.

What you’ll do

• Design and implement security controls, policies, and architectures tailored to each client’s environment and risk profile;
• Operationalize frameworks (NIST CSF, ISO 27001, CIS Controls) within real business and technical constraints;
• Assess cloud environments for misconfigurations; enforce security policies across hybrid and multi-cloud setups;
• Run the full vulnerability management cycle: scope, scan, analyze, track remediation, and validate fixes;
• Tune detection rules, perform correlation analysis, and support incident triage in SIEM environments;
• Deliver security workshops, awareness sessions, and reports for both technical and executive audiences;
• Build reusable toolkits and contribute to knowledge-sharing across the cybersecurity practice.

Relevant tools per domain

• Cloud Security: AWS, Microsoft Defender for Cloud
• Identity: Microsoft Entra ID, Okta, CyberArk
• Endpoint: Microsoft Defender for Endpoint, SentinelOne, Cylance
• Network: Palo Alto, Fortinet, Zscaler
• SIEM & Monitoring: Microsoft Sentinel, Splunk, QRadar
• Data Protection: Microsoft Purview, Symantec DLP
• Vulnerability Management: Qualys, Nessus, Rapid7

You will help clients build modern, reliable, and AI-ready data platforms using the full Microsoft stack. You balance hands-on delivery with strategic advisory, and you work in hybrid environments where legacy systems meet modern cloud architectures. If you are passionate about data engineering, analytics, and the future of AI in enterprise environments, we’d love to meet you.

What you will do :

• Design and build ELT/ETL pipelines across the Microsoft stack — from on-prem SSIS workflows to Azure Data Factory and Microsoft Fabric;
• Model and maintain semantic layers in Power BI (DAX, RLS, deployment pipelines, Apps) that serve as the single source of truth for reporting;
• Migrate and modernise BI environments: SQL Server → Synapse Analytics / Microsoft Fabric / ADLS Gen2 / OneLake;
• Implement Analytics Engineering standards: data testing, documentation, version control, and performance tuning (T-SQL optimisation, stored procedures);
• Support clients in defining their data modeling strategy (Kimball / Inmon) and analytical architecture;
• Prototype and evaluate emerging capabilities — Copilot Studio, Azure AI Services, Azure AI Foundry — and translate them into production-ready recommendations.

As a Lead AI Engineer, you will lead Generative AI missions for our clients end-to-end — from proof of concept to production — acting as the technical reference on autonomous agents, LLM deployment, and cost-efficient GenAI architectures.

Here’s what that looks like in practice: an empty repo, a client’s business need, and a couple of weeks to prove the idea holds. You build the POC yourself, the client is convinced — now hundreds of their employees want it on their desk every morning. You add single sign-on and roles, quotas so nobody drains the budget in an afternoon, an evaluation harness that flags quality drift, and pipelines that ship new versions without waking anyone up. Same person, same architecture, from first prototype to the service the client relies on.

Your key responsibilities

• AI Engineering & Agentic Workflows: design and lead the implementation of autonomous AI agents, multi-agent orchestration (LangGraph, CrewAI), and RAG pipelines with complex API integrations, on client missions;
• Hybrid LLM Deployment: define deployment strategies across managed cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and open-weight models (Llama, Mistral) served on GPU infrastructure via vLLM or TGI;
• LLMOps, Monitoring & Evaluation: design observability for GenAI applications — quality, latency, hallucination detection — using tools such as LangSmith, Arize, or Prometheus/Grafana;
• AI FinOps: control cost across client AI projects through token management, prompt routing, caching, and GPU resource optimization;
• Technical Leadership: standardize containerization (Docker, Kubernetes) with client teams, mentor delivery engineers, and communicate the technical vision to client stakeholders.