AI Cloud Architect

CODA Technology Services; Portugal; Presencial; EUR 90 000 - 150 000; Tempo integral

Resumo da oferta

CODA Technology Services is seeking an senior staff architect to own the AI orchestration platform end-to-end. You will define the target architecture, drive a credible roadmap, and author RFCs/ADR to align engineering, product and operations.

You will set standards for Kubernetes-based services, observability, and multi-tenancy, while guiding cross-cutting initiatives across multiple squads. You will mentor engineers, lead design reviews, and communicate effectively with customers and partners.

Qualificações

• Master’s or Bachelor’s degree in Computer Science, Engineering or a related field (or equivalent practical experience).
• 10+ years of professional software engineering experience, with a proven track record of designing and operating production systems at scale.
• Experience with AI and an understanding around platform orchestration.
• Demonstrated experience as a Staff, Principal or Architect-level IC. You have owned the architecture of distributed systems and led engineers across teams without direct authority.
• Deep expertise in distributed systems: APIs, messaging, consistency, caching, backpressure, performance, scalability and multi-tenancy.
• Strong experience designing, operating and evolving Kubernetes-based platforms, including observability, SLOs and incident response.
• Solid grounding in at least one major backend language and working fluency across several; comfortable reading code in any.
• Pragmatic data architecture skills across relational and non-relational stores, event streaming and analytics pipelines.
• Excellent written and verbal communication: you can write a clear RFC, run a productive design review, and explain trade-offs to engineers, product and executives alike.
• Fluent in English. Any other language is a plus.

Responsabilidades

• Own the architecture of the AI Orchestration Platform end-to-end: service decomposition, data model, APIs, runtime, integration patterns and non-functional characteristics.
• Define the target architecture and a credible roadmap from where the platform is today to where it needs to be.
• Write RFCs and architecture decision records (ADRs), lead design reviews, and align engineering, product and operations around the chosen direction.
• Set and evolve the standards for how services are built, deployed and operated on Kubernetes — including API design, observability, identity, multi-tenancy and SLOs.
• Drive cross-cutting initiatives — performance, reliability, security, data, cost, developer experience — that span multiple services and squads.
• Represent platform architecture in technical discussions with customers, partners and other engineering groups when needed.
• Coaching and mentoring.

Conhecimentos

Distributed systems

Architecture leadership

English fluency

Communication

Formação académica

Master's degree in Computer Science or related field

Ferramentas

Kubernetes

REST/GraphQL APIs

Data streaming

Observability

CI/CD

Descrição da oferta de emprego

Our client is a leading European SaaS provider.

What You will Do:

• Own the architecture of the AI Orchestration Platform end-to-end: service decomposition, data model, APIs, runtime, integration patterns and non-functional characteristics (scalability, reliability, security, cost).
• Define the target architecture and a credible roadmap from where the platform is today to where it needs to be.
• Write RFCs and architecture decision records (ADRs), lead design reviews, and align engineering, product and operations around the chosen direction.
• Set and evolve the standards for how services are built, deployed and operated on Kubernetes — including API design, observability, identity, multi-tenancy and SLOs.
• Drive cross-cutting initiatives — performance, reliability, security, data, cost, developer experience — that span multiple services and squads.
• Represent platform architecture in technical discussions with customers, partners and other engineering groups when needed.
• Coaching and mentoring

Experience required:

• Master’s or Bachelor’s degree in Computer Science, Engineering or a related field (or equivalent practical experience).
• 10+ years of professional software engineering experience, with a proven track record of designing and operating production systems at scale.
• Experience with AI and an understanding around platform orchestration.
• Demonstrated experience as a Staff, Principal or Architect-level IC. You have owned the architecture of distributed systems and led engineers across teams without direct authority.
• Deep expertise in distributed systems: APIs, messaging, consistency, caching, backpressure, performance, scalability and multi-tenancy.
• Strong experience designing, operating and evolving Kubernetes-based platforms, including observability, SLOs and incident response.
• Solid grounding in at least one major backend language and working fluency across several; comfortable reading code in any.
• Pragmatic data architecture skills across relational and non-relational stores, event streaming and analytics pipelines.
• Excellent written and verbal communication: you can write a clear RFC, run a productive design review, and explain trade-offs to engineers, product and executives alike.
• Fluent in English. Any other language is a plus.