• An experienced engineer who knows distributed systems not just from documentation - but from production incidents, cluster tuning under load, and writing runbooks that people actually use.

• You'll be working on native iOS applications within a fintech platform, integrating with back-office systems and third-party financial services. • The environment is live and demanding — you'll be expected to design, build, and support production-grade mobile applications where traceability, security, and data integrity are critical. • The stack centres on Swift, with UIKit and SwiftUI for interface development and RxSwift for reactive, asynchronous data flows against RESTful backend services.

• Support deployment and operation of services in FedRAMP High-aligned environments • Work with compliance platforms and partners to support secure deployment workflows, controls, evidence collection, and operational readiness • Assist with security and compliance requirements for defense, government, and regulated customers • Translate compliance obligations into practical engineering work • Design, deploy, operate, and support cloud infrastructure across AWS and AWS GovCloud • Build and maintain infrastructure using Infrastructure-as-Code, primarily Terraform • Operate Kubernetes-based services and Helm-based deployment workflows across multiple environments • Improve reliability, observability, access controls, operational runbooks, and supportability of platform systems • Support regular release operations across multiple environments • Maintain and improve Helm charts, deployment pipelines, CI/CD workflows, and operational automation • Create and maintain runbooks, operational documentation, and escalation paths for regulated deployments

• Design and improve the platform systems that support model training, evaluation, and production serving. • Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient. • Develop internal tools and workflows that are easy to operate both by humans and by agents. • Work on the architecture behind how models are deployed, served, and operated across research and product environments. • Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure. • Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers. • Drive improvements across observability, automation, reliability, and developer experience. • Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities. • Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.