Principal Software Engineer, AI DevOps
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Location: Lisbon, Portugal / Krakow, Poland
Working Pattern: Fully Remote (Portugal); Hybrid (Poland)
Join our AI Delivery & Engineering team and provide principal-level technical leadership for AI delivery, release engineering and operational readiness. You'll help ensure reusable AI assets and enterprise solutions are reliable and reproducible.
Impact You’ll Own
- Define DevOps standards for reusable AI assets and the solutions using them.
- Strengthen delivery quality through reviews of supplier pipelines, infrastructure and deployment evidence.
- Guide decisions on environment strategy, automation, reliability, security, lead time and cost.
- Improve release traceability, artifact integrity, recovery and operational readiness.
- Advance reproducible delivery through controlled promotion, versioning and policy gates.
What You'll Do
- Define standards for CI/CD, infrastructure as code, isolated environments and controlled promotion.
- Review supplier pipelines, infrastructure configurations, environment controls and deployment evidence.
- Guide partners on AI delivery patterns, automation trade-offs and approved asset reuse.
- Set expectations for version traceability across code, models, prompts, data, tools and runtime environments.
- Review artifact integrity, dependency controls, secrets management and evaluation gates.
- Assess rollback, safe fallback, recovery, observability, alerting and support handover evidence.
- Turn findings, evaluation results and incidents into improved standards and reference patterns.
Skills And Capabilities
Must-haves
- Degree in Computer Science, IT, Software Engineering or a related discipline.
- Enterprise software engineering experience in cloud-native and distributed systems.
- Hands-on enterprise AI engineering and AI release lifecycle experience.
- Deep knowledge of CI/CD, infrastructure as code, release engineering and SRE practices.
- Experience with isolated environments, promotion controls and configuration versioning.
- Knowledge of model, prompt, data, retrieval, tool, asset and runtime traceability.
- Experience with artifact integrity, secrets management, policy gates and regression evidence.
- Knowledge of AI workload observability, availability, latency, cost, SLIs and SLOs.
- Proven technical leadership through standards, reviews, supplier assurance and remediation.
- Strong communication, cross-team influence, mentoring and documentation skills.
Nice-to-have
- Advanced study in AI/ML, distributed systems or cloud/platform engineering.
Rewards and Benefits
Permanent local contract with a competitive salary plus Tabaqueira employee benefits including:
- Life and Health insurance
- Employee Pension Plan
- 26 holiday days
- National and international growth opportunities
- Diverse and international work environment
For Poland: In this position, you will earn no less than 327660 PLN gross per year.
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