Senior Cloud Developer

About This Opportunity

We are representing a confidential visual technology organization in London seeking a Senior Cloud Developer to join their award-winning engineering team. This is a hands-on role where you'll architect and build the future of cloud-first infrastructure and machine learning platforms. You will write core software and automation that drives high-availability workflows, resilient big data pipelines, and scalable compute solutions across the business.

Location: London, Greater London, United Kingdom
Employment Type: Full-time
Visa: Must have existing right to work in the UK; sponsorship is not available

Responsibilities

• Build highly available automation workflows and orchestrators that enable distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models
• Design and implement event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies
• Architect robust cloud security frameworks, identity management, and automated governance baselines across a global footprint
• Design and optimise big data infrastructure for handling large metadata datasets and media assets
• Identify opportunities to reduce infrastructure spend without compromising performance
• Support engineering teams and champion DevSecOps best practices across the organization

What We're Looking For

Essential Skills:

• Experience designing high-availability, multi-environment cloud infrastructure using Infrastructure as Code (ideally Terraform) and container orchestration
• Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery
• Strong software development background (ideally Python) with a proven track record of architecting scalable services and APIs
• Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks
• Experience supporting engineering teams and collaborating with technical leadership
• Strong communication skills with the ability to bridge infrastructure engineering and development team workflows

Nice-to-Have Skills:

• Experience designing setups that span cloud providers and on-premises physical infrastructure
• Knowledge of virtualisation of service applications
• Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK
• Professional-level cloud certification
• Production experience managing complex Kubernetes clusters and high-scale Docker environments
• Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets

How We Work With You

When you apply through Get A Job.ai, our talent team will carefully review your application and conduct an initial screening. We work closely with candidates to understand your experience and career goals. If there's a strong match, we will submit your profile to our client for consideration. Please note that you should not contact the client directly—all communication and coordination will go through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We review all applications carefully and welcome candidates from all backgrounds to apply.