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Lead our infrastructure and platform engineering function and evolve it towards AI-driven, progressively autonomous operations.

You’ll lead the team responsible for the cloud infrastructure, Kubernetes environments, CI/CD systems, observability platforms and developer capabilities that power the 1inch platform and broader DeFi ecosystem. You’ll define and deliver a platform strategy that improves reliability, scalability, security, developer experience and operational efficiency.

You’ll apply Cursor AI and agentic automation across the platform lifecycle from infrastructure provisioning and deployment to monitoring, troubleshooting, optimisation and incident response. You’ll establish operational feedback loops and develop controlled self-healing capabilities that detect problems, identify likely causes and execute safe remediation.

You’ll ensure automation operates within defined permissions, approval requirements, audit trails, rollback mechanisms and security policies. This role combines strategic leadership, technical judgement, people management and close collaboration with Product, Engineering, Security, Compliance and IT.

• Define and execute the DevOps and platform engineering strategy, aligning the platform roadmap with company, product and engineering priorities.
• Lead, mentor and grow the team through hiring, performance management, career development and succession planning.
• Establish clear ownership, engineering standards, operational processes and governance while building a culture of accountability, automation, reliability, security and continuous improvement.
• Own the architecture and operation of cloud-native infrastructure, Kubernetes, networking, storage and shared platform services, improving scalability, resilience, standardisation and operational simplicity.
• Apply infrastructure-as-code, policy-as-code, automation-first and controlled-change principles while overseeing capacity planning, cost optimisation, technology selection and strategic vendor relationships.
• Embed Cursor AI and agentic automation across provisioning, CI/CD, release engineering, observability, troubleshooting, capacity planning and cost optimisation.
• Build controlled self-healing mechanisms that detect anomalies, identify likely causes, execute approved remediation, verify recovery and learn from outcomes.
• Provide self-service infrastructure, deployment capabilities, reusable tooling, paved paths and AI-assisted workflows, measuring agents for safety, accuracy, cost, auditability, remediation success and reduction of manual toil.
• Define and enforce reliability, observability and security standards across infrastructure, CI/CD and platform services, including SLIs, SLOs, error budgets, resilience testing, incident management, access controls, secrets, encryption, vulnerability management and software supply-chain security.
• Partner with Product, Engineering, Security, Compliance and IT to establish platform guardrails, risk controls, audit evidence and ownership boundaries, and represent platform performance, risks, investment needs and progress in executive discussions.