• Create realistic cloud and platform engineering challenges. • Build reproducible, containerized infrastructure environments. • Design scenarios covering networking, IAM, queues, storage, scaling, and reliability. • Define measurable requirements for configuration, topology, and runtime behaviour. • Develop automated integration, load, security, failure, deployment, and recovery tests. • Create accurate reference solutions and intentionally defective variants. • Debug environments and resolve infrastructure or test issues. • Document architecture decisions, expected outcomes, and validation logic. • Review tasks and solutions created by other technical experts.

• Designing, implementing, and managing cutting-edge network and infrastructure solutions • Providing support to development teams • Ensuring the smooth operation of the company's geo-distributed infrastructure • Maintenance and configuration of network equipment, bare metal servers, NAS • Maintenance and configuration of virtualization system (VMWare) • Administering multiple Linux servers • Monitoring the status of services and prompt resolution of emerging problems • Automating administrative tasks • Participating in the development and improvement of infrastructure • Interacting with developers, database administrators, DevOps engineers, architects

• Own our cloud infrastructure across AWS and GCP — Kubernetes clusters, networking, databases (Aurora PostgreSQL, Redis, MongoDB Atlas), Cloudflare, and our CI/CD pipeline. • Scale single-tenant deployments from a handful to many — each with distinct data retention, geographic, monitoring, and compliance requirements. Make a private cloud deployment a repeatable, low-overhead operation. • Build our observability and incident response practice — proactive monitoring, alerting, SLA tracking, and structured post-mortems that make the whole team better at diagnosing and resolving issues. • Drive compliance and security operations — ensure we follow through on the policies we've written (SOC 2, NIST AI framework, EU Cyber Resilience). Own disaster recovery exercises, database restoration drills, and security event monitoring (SIEM). • Manage infrastructure cost and capacity — make smart decisions about where we run workloads (AWS, CoreWeave, Parasail), optimize spend, and plan capacity as usage grows. • Improve developer experience — CI/CD pipeline performance, preview environments, local development tooling, and deployment confidence. • Contribute to backend systems where infrastructure and application intersect — circuit breakers, inference routing, data connector infrastructure for enterprise customers bringing their own data.

• Develop and maintain enterprise architecture roadmaps, standards, reference architectures, and design patterns for multi cloud, infrastructure, data, and AI-enabling platforms. • Design secure, scalable, resilient, and cost-optimized multi cloud and hybrid-cloud infrastructure to support enterprise applications, advanced analytics, artificial intelligence, machine learning, and large language model workloads. • Architect secure landing zones, compute foundations, and integration approaches that ensure reliable AI and data platform capabilities. • Translate business, technical, security, compliance, and operational requirements into practical architecture decisions, solution designs, and implementation guidance. • Work with peer architects to help establish architectural governance, design review, lifecycle management, and service management practices that align with enterprise architecture and ITIL-based operating models. • Working with Information Security architects, help to define cloud security, identity and access management, data isolation, monitoring, compliance, and multi-tenant guardrails for enterprise infrastructure and AI-enabled environments. • Evaluate latest technologies, cloud services, AI platform capabilities, vendor solutions, and infrastructure standards to support business outcomes and reduce operational risk. • Partner with project teams, engineers, architects, security teams, data teams, vendors, and partners to guide solution delivery and ensure successful transition to operation. • Work with Cloud Engineers to mature existing cloud financial management and FinOps practices to forecast, monitor, and optimize infrastructure, storage, compute, data movement, and AI workload costs. • Create clear architecture documentation, decision records, recommendations, and presentations for technical, operational, and leadership audiences. • Provide mentorship for peers and engineers as prescribed by leadership.