DevOps Profile for an International Project
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DevOps Profile for an International Project
2.200–2.700 / Month
Location
Lisboa, Braga, Coimbra, Lisboa, Portugal
Experience
Mid
Posted
Jul 11, 2026
Apply by
August 10, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
At IRIUM we want you to always chase your dreams. Here, prepare yourself to conquer your goals, while enjoying the journey.
We are currently looking for: DevOps Profile for an International Project
Responsibilities:
Solution Takeover & Knowledge Transfer
• Lead structured handover of AI solutions delivered by external vendors, across any in-scope solution type (agents, copilots, RAG apps, document intelligence services, integrations, fine-tuned LLMs, etc.).
• Review code, prompts, configurations, architecture, and documentation; identify technical debt and define a remediation backlog.
• Produce or refresh runbooks, SOPs, prompt and model documentation, and operational documentation for solutions taken into run mode.
In-House AI Solution Development
• Design, develop, and ship AI features and full solutions using Bekaert's authorized AI stack, selecting the most appropriate pattern for each business problem (rule-based automation,
RAG, agentic workflows, fine-tuning, multimodal AI services, etc.).
• Build solutions with Azure OpenAI, Microsoft Copilot Studio, M365 Copilot extensibility, Azure AI Foundry, Azure AI Services (vision, speech, translation, document intelligence), and custom Python/TypeScript services as appropriate.
• Apply enterprise patterns for grounding, evaluation, guardrails, and responsible AI consistent with Bekaert's AI governance and Microsoft Copilot Studio governance frameworks.
• Contribute reusable components (connectors, prompt templates, agent skills, evaluation harnesses) to the AI platform library.
• Collaborate with the AI Solution Lead on architecture reviews, pattern selection, and design validation.
DevOps & Platform Operations (incl. LLMOps)
• Build and maintain CI/CD pipelines (GitHub Actions / Azure DevOps) for AI solutions, following Bekaert GitOps and IaC standards.
• Apply LLMOps practices: prompt versioning, evaluation datasets, A/B testing of prompts and configurations, automated quality evaluation, and regression testing.
• Implement observability (logs, traces, cost, usage, response quality, grounding quality) and act on alerts.
• Manage application lifecycle, secrets, environment promotion, and release management.
• Optimize consumption costs (tokens, compute, storage, inference calls) and report on unit economics per solution.
User Support (L3)
• Act as the L3 escalation point for in-scope AI solutions; partner with L1/L2 team per the existing service model.
• Investigate and resolve incidents, problems, and quality issues (response quality, hallucinations, grounding failures, integration errors); drive permanent fixes back into the codebase, prompts, or configurations.
• Maintain a knowledge base of known issues, workarounds, and FAQs for end users and support partners.
Backlog Management & Business Engagement
• Run discovery and refinement sessions with business product owners; translate user needs into well-formed user stories with acceptance criteria.
• Triage, estimate, and prioritize the backlog together with the business; plan iterations and communicate releases.
• Demo increments, collect feedback, and steward adoption together with business champions.
GitHub Copilot Enablement (Secondary)
• Act as a subject-matter expert for GitHub Copilot, Bekaert's authorized AI coding platform.
• Provide best-practice guidance, internal enablement sessions, and prompt/usage patterns for other ADS developers.
• Monitor adoption signals and feed insights back to the AI governance team.
Requirements:
Experience
• 5–8 years of professional software development experience.
• At least 2 years building or operating generative AI / LLM-based solutions in production.
• Demonstrated breadth across multiple GenAI solution types (e.g., conversational, agentic, RAG, document intelligence, integrations).
• Proven track record of taking over and stabilizing vendor-built code bases.
• Hands-on experience with backlog management and direct business stakeholder engagement.
Technical Skills (Must-have)
• Strong Python and/or TypeScript; solid software engineering fundamentals (testing, version control, code review).
• Azure cloud (App Service / Container Apps / Functions / AKS), Azure OpenAI, Azure AI Foundry, Microsoft Graph, REST API integration.
• Practical experience with at least three GenAI solution patterns from the following: conversational agents, agentic/multi-agent workflows, RAG, document intelligence, AI-driven integrations.
• Prompt engineering, evaluation, and guardrail design for LLM-based applications.
• CI/CD pipelines, IaC (Bicep / Terraform), containerization (Docker), observability tooling.
• Microsoft 365 ecosystem awareness (Copilot Studio, SharePoint, Teams as data sources and surfaces).
Technical Skills (Nice-to-have)
• Agentic frameworks (Microsoft Agent Framework, LangGraph, Pydantic AI etc.).
• Vector stores and knowledge-graph tooling (Azure AI Search, Qdrant, Neo4j, LlamaIndex etc.).
• Azure AI Services (Document Intelligence, Vision, Speech, Translator) for multimodal application development.
• Fine-tuning and model customization on Azure OpenAI / Azure AI Foundry.
• GitHub Copilot enablement experience.
• Azure AI Engineer (AI-102) certification.
Education
• Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent.
Behavioral Competencies
• Outcome-oriented, pragmatic, comfortable balancing build versus run.
• Strong written and verbal English communication; able to translate between business and technical audiences.
• Continuous improvement mindset; operates well in a hybrid global team with vendors and internal stakeholders.
• Curiosity and self-learning attitude in a rapidly evolving AI landscape; able to pick the right tool/pattern for each problem rather than defaulting to one approach.
•English B2
Location: Lisboa, Braga, Coimbra - Hybrid
Range Salarial
2200€ - 2700€ net monthly
Note: Includes all components: Fixed, Variable, Meal Allowance, Remote Work, and Benefits.
What do we offer?
➡ An innovative and growing company, with a lot of opportunities for professional development.
➡ Retribution according to your experience and performance. Access to flexible pay and medical insurance as a social benefit.
➡ Unlimited access to technological training in free mode.
IRIUM is a company with dynamic and proactive professionals. Our values are responsibility and commitment to work quality. This is the spirit we are looking for at IRIUM, whatever your age is. If you recognize yourself in this, this is your company!
We can build the future together. Let’s talk!
Send your CV to: [\[email protected\]](/cdn-cgi/l/email-protection)
At IRIUM we defend a world without stereotypes or limitations and we believe in equality for all, principles that we subscribe to in our Equality Plan and Code of Ethics, guaranteeing equal treatment and opportunities regardless of any personal, physical or social condition.
Key Responsibilities
- Lead structured handover of AI solutions from external vendors and review code, prompts, and architecture.
- Design, develop, and ship AI features using authorized AI stacks like Azure OpenAI and Microsoft Copilot Studio.
- Build and maintain CI/CD pipelines and apply LLMOps practices including prompt versioning and evaluation.
- Implement observability and manage application lifecycle, secrets, and release management.
- Act as L3 escalation point for AI solutions, investigating incidents and driving permanent fixes.
- Run discovery sessions with business stakeholders to translate needs into user stories and prioritize backlog.
- Provide guidance and enablement on GitHub Copilot for other developers.
Requirements
- Bachelor's or Master's degree in Computer Science
- Software Engineering
- or equivalent
Skills Required
PythonTypeScriptAzure OpenAIAzure AI FoundryMicrosoft Copilot StudioAzure AI ServicesGitHub ActionsAzure DevOpsBicepTerraformDockerCI/CDIaCLLMOpsPrompt engineeringEvaluationGuardrail designREST API integrationMicrosoft GraphMicrosoft 365 Copilot StudioSharePointTeamsCommunicationProblem solvingContinuous improvement mindsetCuriositySelf-learningStakeholder engagementMicrosoft Agent FrameworkLangGraphPydantic AIAzure AI SearchQdrantNeo4jLlamaIndexAzure AI Services (Document Intelligence, Vision, Speech, Translator)Fine-tuningModel customization
Benefits
- Flexible pay
- Medical insurance
- Unlimited access to technological training
- Remote work
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