Company: Safeguard Global
Salary: Not provided
Location: , United Kingdom
• Define and drive the architecture of scalable, event-driven systems on AWS • Lead the design and evolution of core platform services and distributed systems • Set technical direction across teams, ensuring consistency and long-term maintainability • Solve complex, cross-cutting engineering problems (e.g. scaling, data consistency, system resilience) • Establish best practices for reliability, observability, and performance across the platform • Design systems that handle high event throughput, failure scenarios, and eventual consistency at scale • Partner closely with Data Engineering to shape data architecture, pipelines, and platform capabilities • Influence and improve engineering standards, tooling, and ways of working • Mentor senior engineers and act as a technical leader across multiple teams • Contribute to strategic technical decisions and roadmap planning
• Significant experience (typically 8-12+ years) building and scaling backend systems in production environments • Deep expertise in JavaScript/TypeScript (Node.js preferred) or similar backend ecosystems • Strong hands-on experience designing distributed systems and event-driven architectures • Proven experience architecting systems on AWS, particularly serverless (Lambda, EventBridge, S3, API Gateway) • Track record of leading large-scale technical initiatives or platform transformations • Deep understanding of reliability patterns (e.g. idempotency, retries, backpressure, fault tolerance) • Experience operating systems at scale, including observability, monitoring, and incident response • Strong experience with Infrastructure as Code (CDK, Terraform, or similar) • Solid understanding of data modelling and working with high-volume, data-intensive systems • Ability to influence technical direction without direct authority
• Autonomy and Flexibility (work in any way) • Generous leave • Make a difference • Corporate bonus/SIP • International environment • Human centered culture • Learning
job post pulled from jsjobs
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