Devoteam Cyber Trust | Junior Information Security Consultant/Auditor
Job Description
Qualifications
Additional Information
Summary Introduction:
We are seeking a highly skilled Cloud Solution Architect to join our
dynamic 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 robust
technical solutions on major cloud platforms. Your work will directly impact on our
technology 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
Bratislava. Slovakia | #Risk & Compliance Engineer
Looking to take your
IT security consulting career to the next level?
Our Service Now 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 Service Now Sec Ops 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 Service Now 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.
Devoteam is looking for an
experienced CWF Domain Business Lead
to join our Service Now 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.
Service Now 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 of a consultant.
Customer workflows domain currently covers following Service Now 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 Service Now.
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 Service Now 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 Gen AI use cases. Independently implement Gen AI 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 Open AI Service and frameworks like
Lang Chain
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 Dev Ops or Git Hub 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 Dev Ops 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.
