Consultant.e Platform Engineer AWS H/F

Job Description

Qualifications

Compétences techniquesRequired :

Nice to have :

Additional Information

Summary Introduction:

We are seeking a highly skilled Cloud Solution Architect to join ourdynamic team. In this role, you will be a key technical leader responsible for designing,architecting, and implementing scalable, secure, and high-performing cloud solutions.You will serve as a trusted advisor, translating complex business needs into robusttechnical solutions on major cloud platforms. Your work will directly impact on ourtechnology strategy and drive successful cloud adoption.

Key Responsibilities:

• Design end-to-end cloud-native and hybrid solutions leveraging GCP services such as Compute Engine, Cloud Run, Kubernetes Engine (GKE),
• Cloud Storage, Big Query, Pub/Sub, and Cloud Functions.
• Develop solution blueprints, architecture diagrams, and integration patterns aligned with enterprise standards and business objectives.
• Evaluate existing systems and define cloud migration or modernization
• Assess existing systems and define cloud migration, modernization, and transformation roadmaps.

Technical Leadership

• Provide architecture guidance to solution and development teams throughout the delivery lifecycle.
• Lead design reviews to ensure architectural integrity, scalability, and cost efficiency.
• Establish cloud design patterns, reusable templates, and reference architectures for GCP workloads.

Governance, Security & Compliance

• Ensure solutions adhere to cloud governance frameworks, security policies, and compliance requirements.
• Implement best practices for IAM, data encryption, networking, and workload protection in GCP.
• Optimize cost and performance through rightsizing, workload management, and monitoring strategies.

Collaboration & Stakeholder Management

• Work closely with business, application, data, and infrastructure teams to translate business needs into secure and reliable cloud architecture design.
• Engage with vendors and partners to evaluate tools, technologies, and service models.
• Document and present architecture decisions, trade-offs, and recommendations to technical and non-technical stakeholders.
• Stay current with GCP updates, cloud trends, and emerging technologies.
• Drive innovation by piloting new cloud services and architecture practices.
• Contribute to the organization’s cloud strategy, frameworks, and technical standards.

Levallois-Perret . France | #Cloud Engineer

Levallois-Perret . France | #Technical Product Owner

Machelen . Belgium | #Data Governance Consultant

Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms?

If so, we want you to join our team at Devoteam .

The Role

As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value.

The Product Owner, as a key member of the Data Strategy team, will typically collaborate closely with and receive direction from the Data Strategist. While the Data Strategist focuses on establishing high-level strategic objectives and overall priorities for data and AI initiatives, the Product Owner will translate these broad goals into concrete, actionable plans.

This involves defining specific capabilities needed to achieve the strategic vision, breaking down these capabilities into detailed user stories, and for example clearly outlining the "definition of done" for each. On a day-to-day basis, the Product Owner will then work directly with the development team, tracking the sprint cycle and increments, ensuring that the development aligns precisely with the defined capabilities and user stories, and ultimately delivering tangible value in support of the Data Strategist's overarching vision.

We are seeking an OutSystems Tech Lead to join our dynamic team in Lisbon, Portugal. In this role, you will be responsible for providing technical leadership across the full software development lifecycle of OutSystems projects. You’ll lead and support a team of developers, drive solution design and architecture, and ensure the delivery of high-quality, scalable applications that align with our clients’ goals.

As a Tech Lead, you will also play a key role in backlog management, mentoring junior talent, conducting code reviews, and staying up to date with the latest platform capabilities and industry best practices.

Main Responsibilities:

• Provide technical leadership for end-to-end OutSystems projects
• Design and validate scalable and high-performing application architectures
• Manage the technical backlog and support the Product Owner in prioritization
• Perform technical analysis, estimates, and sprint planning
• Support and guide the development team throughout the project lifecycle
• Conduct code reviews and ensure adherence to OutSystems best practices
• Mentor and coach junior developers
• Act as the bridge between the development team and the Project/Engagement Manager
• Identify technical risks and ensure delivery quality through testing, POCs, and QA practices
• Contribute to functional and non-functional solution design
• Promote continuous improvement, technical innovation, and knowledge sharing
• Stay up to date with the latest OutSystems features and industry trends
• Make technically sound decisions that positively impact the customer

Bratislava . Slovakia | #Risk & Compliance Engineer

Looking to take your IT security consulting career to the next level? Our ServiceNow Cyber & Risk team is seeking a Consultant with an innovative, can-do attitude and a passion for making a difference . You'll be based in our Prague office and work with global companies from across Europe.

With us, you'll have the chance to do the job of your dreams - the one you didn't even know you wanted yet. Here's what you can expect:

• Working on a variety of projects focused on advisory and implementation of Security Operations, Risk and Compliance using ServiceNow SecOps and IRM product suites.
• Collaborating closely with clients to analyze business requirements and develop effective security solutions.
• Acting as Subject Matter Expert, Designing processes, implementing, and integrating solutions such as using ServiceNow for Security Incident Management, Vulnerability Response, Governance, Risk & Compliance, and Third Party Risk Management, Data Privacy, ESG, and more.
• Working in an Agile environment, being supported by a team of bright individuals.
• Being proactive, constantly learning, and coming up with new ideas for products and services.

Lisboa . Portugal | #Other Support Functions

We seek a motivated individual with a solid background in Information Technologies, capable of developing networks and generating leads. If you're ambitious, proactive, and have excellent communication skills, this role is for you!

Responsibilities:

Perform cold emails and calls to generate new business leads.

Develop and maintain networking with potential clients.

Gather and analyze information from potential customers to generate suitable leads for the sales department.

Explore specific software needs and related consulting and implementation services.

Devoteam is looking for an experienced CWF Domain Business Lead to join our ServiceNow team. As a CWF Domain Business Lead your main responsibility is to grow & manage a team of IT professionals at your customers in order to support our clients digital transformation initiatives.

ServiceNow is a powerful platform that helps organizations manage and improve their customer service operations and Industry specific workflows. A CWF Domain BL is a hybrid role that combines the relationship-building and support skills of a CWF with the industry expertise and strategic thinking of a consultant.

Customer workflows domain currently covers following ServiceNow solutions:

• Customer Service Management
• Field Service Management
• Sales and order management
• Sourcing and Procurement Ops

Other industry specific domains:

• Telecom, Media & Technology
• Healthcare and Life science
• Financial services operations
• Manufacturing
• Public sector
• Retail Service management

Your work activities will be:

• Responsibility for management and growth of the specific CWF domain in ServiceNow.
• Build the new business opportunities based on knowledge & experience.
• Advisory clients on IT and business challenges in the domain.
• Helping clients to identify and solve business challenges.
• Implementing and optimizing state of the art processes and solutions to help our clients manage their systems efficiently and in a business-centric way.
• Responsibility for gathering and documenting business requirements from the clients.
• Assisting clients with the implementation and adoption of solutions as well as training and support as needed.
• Providing consulting services to our customers and partners.
• Taking part in internal activities inside Devoteam to help us grow (Contribution to the recruiting process, marketing activities, knowledge sharing).
• Participation in sales activities as business strategies and active sales in CWF domain, build offers, contribution in creating and maintaining pre-sale materials, leading the pre-sale activities and maintaining standard offers (incl. slide decks, references, etc.). Also responsible for business development - strategy, pipeline, offer, business plan etc., maintaining the list of projects and plan capacity, staying up-to-date with new products/services and keeping an eye on new business trends in the CWF domain.
• Close cooperation with project managers, developers, and other teams to support the implementation of ServiceNow solutions.

Levallois-Perret . France | #Risk & Compliance Engineer

Frankfurt am Main . Germany | #Machine Learning / AI engineer

• AI Solution Development: Design and implement end-to-end AI solutions on Azure. This includes developing machine learning models (e.g. predictive algorithms, classification, anomaly detection) and integrating them into cloud applications. You will write code (primarily in Python) to build and train models, leveraging Azure Machine Learning, Azure Databricks, or custom frameworks as needed.
• Build and deploy intelligent applications using Azure AI Foundry , leveraging prompt orchestration, grounding with Azure AI Search, and agent orchestration features for enterprise-scale GenAI use cases. Independently implement GenAI workflows using Foundry.
• Generative AI & LLMs: Play a key role in developing Generative AI solutions for clients. Experiment with and implement large language model (LLM) based applications using Azure OpenAI Service and frameworks like LangChain for building conversational agents or Retrieval-Augmented Generation (RAG) pipelines. For example, you might build a chatbot that uses an LLM with enterprise data or create a summarization service for insurance documents. Ensure prompt engineering and fine-tuning are done in a robust, secure manner.
• Azure AI Services Integration: Utilize Azure Cognitive Services (e.g. for vision, speech, language) and Azure AI services to speed up solution development. For instance, integrate Azure Cognitive Search for semantic search in a knowledge retrieval solution, or use Form Recognizer in a document processing pipeline. Combine these services with custom ML where appropriate to meet client requirements.
• MLOps and Deployment: Take ownership of deploying and operationalizing ML models. You will containerize models or use Azure ML endpoints, set up CI/CD pipelines (using Azure DevOps or GitHub Actions) for automated model training and deployment, and implement monitoring for model performance drift. Ensure that the AI solutions can scale in production and adhere to DevOps best practices for reliability.
• Data Pipeline Collaboration: Work closely with Data Engineers to ensure the data needed for AI models is available, reliable, and well-prepared. Contribute to data pipeline design for ML – e.g., help define feature engineering processes or streaming data ingestion for real-time inference – so that models can be trained on and serve high-quality data.
• Cross-Functional Collaboration: Collaborate with Solution Architects (like the ML/AI Architect) to translate high-level architectural designs into concrete implementation tasks. Work alongside other specialists such as data scientists and cloud engineers to build secure, end-to-end AI solutions that integrate into the client’s ecosystem. This includes participating in code reviews, knowledge sharing, and troubleshooting sessions within the team.
• Client Support & Iteration: Support client teams in adopting and understanding the AI solutions. This could involve preparing technical documentation, demoing functionalities to stakeholders, and iterating on models based on user feedback or changing requirements. Ensure that AI solutions meet responsible AI guidelines and data privacy/security standards as expected by enterprise clients.