Designs, builds, and operates Affirm's AI Platform backend services—LLM gateways, agent runtimes, and evaluation/observability layers—using Python or Kotlin on AWS, MySQL, and Kubernetes, while setting standards, mentoring engineers, and owning on-call for production AI workloads.
Fullstack engineer building scalable search systems for Affirm's Ads and Marketplace products, using Python/Kotlin backend and JavaScript/TypeScript frontend, collaborating globally to deliver high-impact shopping experiences.
Process Architect at Checkout.com (London, hybrid: three office days per week) designs and rebuilds end-to-end merchant operations processes, using data analysis and AI-powered automations to streamline workflows for Merchant Care and Configuration teams globally within the payments industry.
Software Engineer at Checkout.com designs, develops, tests, deploys, and maintains scalable payments software in a microservices environment. The role uses .NET C#, Java, Go, or Python for backend or full-stack work, collaborating with cross-functional teams on global payment systems.
Staff backend engineer on Addepar's Platform Integrations team, building client onboarding and data systems that let financial clients ingest and analyze their data in one place. Works with Python/Java, PySpark, and AWS; collaborates with product and client teams, leads projects, and mentors engineers.
Senior hands-on Corporate Security Engineer at Figure (AI robotics) who hardens macOS/Windows/Linux/ChromeOS endpoints via FleetDM/osquery and GitOps, manages identity and application access (RBAC, SAML/OIDC/SCIM, zero trust), and governs SaaS/third-party security using configuration-as-code.
Builds and maintains CI/CD, build, and deployment infrastructure (GitHub Actions, Docker images, Bazel pipelines) so Abnormal Security's engineering teams can ship code reliably, including on-call ownership, code reviews, and coaching engineers. Core stack: Python, Go, GitHub Actions, Bazel, Docker/Kubernetes in a cloud-native environment.
Designs, implements, and manages detection and response tooling to detect malicious activity across Figure’s infrastructure, including endpoints, networks, labs, and cloud environments. Works with C/C++, Rust, Go, Python, Linux/Windows/macOS internals, and Azure/GCP/AWS to hunt threats and respond to incidents.
Conducts security assessments of applications, embedded systems, and backend services; builds secure-development tooling; designs mitigations; and hunts vulnerabilities across Figure's humanoid robot and service stack. Core technologies: C/C++, Rust, Go, Python, embedded security (secure boot, OTA), and web/mobile/cryptography.
Staff/Tech Lead Software Engineer for OpenCTI, acting as the technical anchor between Filigran and a key US partner contributing to the open-source cybersecurity platform. Day-to-day work includes code reviews, architecture guidance, mentoring engineers, and contributing to the TypeScript/Node.js/React codebase using GraphQL, Elasticsearch, and Redis.
Senior Python Developer maintaining and evolving Stormshield's Breach Fighter malicious-file detonation sandbox and threat-intelligence service, helping migrate it to Kubernetes and feeding IOCs into the MISP database, using Python with CI/CD, Docker, GitLab, ArgoCD, Jenkins, Ansible, Grafana, and KVM/QEMU.
Associate Embedded Software Engineer developing mission-critical C++ software for space/defense radio systems on Linux-based embedded platforms, collaborating with hardware/FPGA engineers on bring-up, testing, and customer integration.
Manages Amazon's third-party delivery carrier network in Sydney, owning carrier performance (speed, cost, capacity) end-to-end using Excel and QuickSight, driving geographic and service-type expansion, and presenting data-led recommendations to senior leaders.
The Data Engineer II owns end-to-end analytics for AWS EC2 and networking services, building and monitoring ETL pipelines, delivering executive reports, and creating dashboards in QuickSight and Weave using Redshift and AWS data services.
Lead a team of engineers building Generative AI and LLM systems that measure product data quality across Amazon's catalog, owning strategy, hiring, and scalable AWS batch/real-time pipelines that power search, detail pages, and AI shopping assistants.
Hardware Development Engineer I designs and validates electronics - PCBs, high-speed digital/RF circuits, sensors, GPS, and edge-compute gateways - for Amazon's trailer and yard fleet-tracking devices, covering the full lifecycle from schematic and PCB design through lab bring-up, test, and qualification.
Designs, builds, and operates AWS IoT Core services that give billions of devices their identity, manage device metadata, and handle provisioning and authentication at scale. Day-to-day work includes distributed-systems development, API design, code reviews, monitoring, on-call rotations, and cross-team collaboration.
Leads product development for AWS Life Sciences Applied AI, guiding a team of product managers, developers, and scientists to build generative AI agent-based applications that transform clinical trial design and operations for pharma and biotech companies.
Designs and optimizes isolated high-power DC/DC converter stages (DAB/CLLC) for AWS's MV-to-800 VDC power-conversion architecture, using PLECS, PSIM, and MATLAB/Simulink to model behavior and validate efficiency, thermal, and transient performance with hardware testing.
The Systems Engineer will own system requirements for AWS's 5–10 MW SST platform, translating architecture objectives into testable requirements and maintaining traceability via DOORS/Capella across power, controls, FPGA, software, mechanical, and V&V teams.
Cookies?
A session cookie keeps you signed in. If you accept, we also use analytics cookies (Google Analytics and PostHog) to understand usage. Learn more
We couldn't check your fit for this role — add a CV to your profile to see it next time.