Technical Lead - Data & AI Infrastructure (Hybrid)

SustainRecruit Talent

Luton

Ibrido

GBP 90.000 - 120.000

Tempo pieno

3 giorni fa

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Descrizione del lavoro

SustainRecruit Talent is partnering with a major UK aviation organisation to recruit a Technical Lead for Software Engineering, Architecture & IaC. Based at London Luton Airport with a hybrid pattern, you will own the technical direction and deliver production-ready data and operational intelligence software.

The role blends hands-on coding with architectural leadership, guiding cloud infrastructure, CI/CD and data flows.

Competenze

In-depth hands-on software engineering with production experience.
Ability to own architectural decisions and explain trade-offs.
Excellent coding with focus on correctness, maintainability, testing, performance and security.
Experience delivering integrations, data pipelines or event-driven systems.
Exposure to production AI/ML systems or data-intensive applications.
Ability to work autonomously and deliver high-quality solutions without constant oversight.

Mansioni

Own end-to-end technical architecture, making and defending decisions around system design, technology selection, scalability, security, performance and maintainability.
Design, write and maintain Infrastructure as Code, automating the provisioning and management of cloud infrastructure. Pulumi is preferred, but strong production experience with Terraform, AWS CDK, Bicep or equivalent is relevant.
Remain hands-on with software development, building robust applications, APIs, integrations and data-intensive systems using modern engineering practices.
Take AI/ML and data-driven concepts from experimentation through to production, ensuring solutions are reliable, maintainable and fit for operational use.
Design integrations and data flows across cloud services, enterprise systems and operational platforms, including real-time and event-driven architectures.
Own delivery quality, including testing, CI/CD, observability, security and deployment readiness.
Lead technical discovery, challenge assumptions, evaluate alternatives and make pragmatic decisions balancing speed, risk, cost and long-term value.
Work directly with operational, commercial, product and data science stakeholders, translating complex requirements into effective technical solutions.
Provide technical leadership and mentoring, establishing strong engineering standards and helping the wider team improve.