Senior System Developer - Walley

WHO WE ARE At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.   ABOUT THE OPPORTUNITY OKX’s Internal Audit function has an early but working AI-native capability: a multi-agent platform (Hive Mind), agentic workflows, data pipelines, and AI-enabled tools that let a very small team punch far above its weight. Your job is not to rebuild it at today’s maturity. Your job is to take it to a regulator-grade production standard and well beyond, and to drive AI Enablement across the department. You own the foundation, the agent runtime, and the harness: a resilient cloud platform, the agentic runtime and evaluation harnesses that make agents trustworthy in a regulated setting, and the governed data and AI infrastructure everything else depends on. We hire on demonstrated building, not on claims or credentials. We expect you to be more capable than the hiring manager in your domain: you will co-own and challenge the tooling strategy, not just implement it. This is a two-person engineering team: you deploy, debug, and hotfix your counterpart’s stack when needed.  ENVIRONMENT Cloud on AWS or GCP. Claude as the starting point in a deliberately multi-model architecture (Anthropic, OpenAI, Google), using the right model for each job, including the plugins and integrations you build. Google Workspace for reporting and evidence. JIRA for the audit team’s workflow. Lark for team communications, alert bots, and the corporate wiki. You inherit a working Google-native prototype estate (Apps Script web apps, Drive-synced automation, locally scheduled jobs, Claude Code agent tooling) and evolve it without breaking daily use. Infrastructure-as-code, CI/CD, and observability throughout. Treat this stack as the starting point, not a constraint: you build production-grade systems end to end on what exists today, and you are expected to propose, prove, and adopt better components as demand and capabilities evolve. Production-grade here means service levels sized for an internal assurance platform: board-cycle windows are sacred, recovery is measured in hours, and this is not a 24/7 pager culture. IN YOUR FIRST YEAR * Hive Mind runs in the cloud with HA, DR, SLOs, and audit logging that passes an internal controls review. * A governed data foundation with provenance and lineage is live across multiple audit domains, integrated with OKX's group data infrastructure where it exists. * An agentic runtime and harness with evaluation and red-teaming gates what reaches production. * The hiring manager is out of the operational loop: no scheduled job runs on a personal machine, every system has a runbook and a non-founder owner. Decommissioning the founder’s laptop as infrastructure is a literal milestone. When these goals compete, the priority order is: keep the estate alive, then the cloud migration with observability, then the harness gating production, then the data foundation. HOW WE ASSESS DEMONSTRATED BUILDING We assess demonstrated building in ways that respect your time and your confidentiality obligations to current and former employers: a portfolio deep-dive (walk us through systems you built and kept running, at the level of detail your obligations allow; we want architecture, decisions, and trade-offs, never proprietary code, data, or documents), a short, time-capped build exercise on a synthetic problem unrelated to OKX's business (a small agentic workflow with an evaluation harness, used for assessment only and never put to use by OKX; the work remains yours) that you defend live, walking us through your design decisions and extending it on the spot, a systems-design session on taking a prototype estate to production, and references focused on whether you built and operated systems in production. TRUST AND COMPLIANCE This role handles highly sensitive audit data at a global crypto exchange. Expect background checks, confidentiality obligations, and personal-trading and material-non-public-information   WHAT YOU’LL BE DOING * Inherit, operate, and progressively migrate the working prototype estate (Google Workspace–native automation across Apps Script, Drive, and the Docs/Sheets/Slides APIs; locally scheduled jobs; and Claude Code agent tooling) to the target platform without interrupting daily and board-cycle workflows. Working software wins arguments; migrate by strangling, not rewriting. Reuse and integrate with OKX's prevailing and evolving AI capabilities and data infrastructure, including enterprise-approved models and gateways, Model Context Protocol (MCP) servers and connectors, security tooling, and group data platforms, before building parallel capability. * Re-architect Hive Mind into a resilient AWS or GCP platform with high availability (HA), disaster recovery (DR), defined service-level objectives (SLOs), and full observability, and own it in production. * Build the agentic runtime and harness: orchestration, multi-model routing that sends each task to the right model, tool, MCP, and plugin integration across model providers, and the evaluation, red-team, and regression harnesses that grade agents before and after production, with evaluation gates, judge calibration, and cost controls that hold for each model, including prompt-injection and data-exfiltration threat modeling for agents that read untrusted content. * Build the Responsible-AI and model-governance layer: hallucination, bias, and drift controls, output validation, guardrails, and complete logging. Extend the existing governance design (human-calibrated judge gates, golden-set regression, provenance registry) rather than replacing it. New model providers enter through the same governance and approved-tooling review, not around it. * Build data infrastructure with provenance and lineage: immutable audit trails, versioned evidence, reproducible pipelines, and traceability from source to report. * Engineer data protection: encryption, key and secrets management, least-privilege access, sensitive-data handling, residency, and defensible retention. * Stand up the computer-assisted audit technique (CAAT) and continuous-monitoring data foundation: analytics over full populations, with exceptions streamed in real time. Auditors and the hiring manager define the audit logic; you make it run at production grade. * Own the cloud foundation: infrastructure-as-code, CI/CD, identity, networking, observability, and cost controls, and make the platform examinable.   WHAT WE LOOK FOR IN YOU * 7+ years building and operating resilient backend or platform systems in production, including on-call ownership over time. * Proven brownfield migrations: you have taken a founder-built or prototype system to production grade while it stayed in daily use. * Strong engineering fundamentals: data structures and algorithms, fluent Python, strong SQL and data modeling, plus one additional systems language (TypeScript/Node or Go), with the full-stack range to connect the infrastructure yourself. * Agentic runtime and harness engineering, proven by building: the field is too young to demand years of it, so we weigh real systems shipped over tenure. You have genuinely built model-agnostic agent orchestration, model routing and evaluation across providers, agent SDKs (Claude Agent SDK or equivalent), MCP servers, skill- and hook-based agent tooling, and the evaluation and red-team harnesses that grade agent behavior, with responsible-AI controls (hallucination, bias, drift). * Data engineering with provenance and lineage, and security and data-protection engineering by default (encryption, identity and access management, secrets, retention). You build systems that could withstand external audit, by design. * Cloud (AWS or GCP) plus resilience engineering: infrastructure-as-code (Terraform), CI/CD, HA, DR, SLOs, and observability, backed by automated testing and documentation. * You ship inside locked-down enterprise environments (TLS-intercepting proxies, endpoint detection and response tooling, restricted installs, security guardrails, OAuth admin consent) without treating security as someone else’s problem. * Partnership: you translate audit needs into systems, explain technical risk to non-engineers, and drive adoption.   NICE TO HAVES * Multi-agent orchestration frameworks, MCP servers, and tooling and plugin development across the Anthropic, OpenAI, and Google model ecosystems. * Model-risk or AI-governance program experience; frameworks such as the NIST AI Risk Management Framework. * Continuous-auditing or continuous-controls-monitoring platforms; streaming and real-time data at scale; statistical anomaly detection and applied machine learning beyond LLMs; vector stores and retrieval; LLM cost engineering. * Experience passing external audit, SOC 2, or SOX (helpful, not required). * Crypto and blockchain literacy; regulated financial-services, fintech, or crypto experience.   PERKS & BENEFITS * Competitive total compensation package * L&D programs and Education subsidy for employees' growth and development * Various team building programs and company events * Wellness and meal allowances * Comprehensive healthcare schemes for employees and dependants * More that we love to tell you along the process!     OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   * The salary range for this position is $178,000 - $321,000 * The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.   Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice [https://www.okx.com/en-eu/help/okx-candidate-privacy-notice].

JOIN US IN BUILDING THE FUTURE OF FINANCE. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Software Platform team accelerates developer velocity and increases system reliability by building the foundational platforms and tools that power Robinhood engineering. Within this group, the Kubernetes Compute team focuses on building and operating a highly available, scalable Kubernetes-powered container platform. We ensure that our infrastructure seamlessly supports reliable application deployments, integrates core platform capabilities, and enables multi-region scalability. We are expanding our core container systems to support our next phase of technical growth! As a Senior Software Developer, you will focus heavily on building, operating, and expanding our container provisioning platforms. You will be responsible for designing resilient container infrastructure and contributing to our technical migration to Amazon EKS to improve platform reliability. In this position, you will collaborate with engineering teams across Robinhood to deliver reliable platform integrations for core capabilities like networking and security. Your work will directly help our infrastructure scale efficiently while maintaining a high standard of safety and system uptime. This role is based in our Toronto office, with in-person attendance expected at least 3 days per week.  At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. WHAT YOU'LL DO * Design, build, and operate scalable container infrastructure using Kubernetes to support high-throughput financial applications. * Contribute to the technical execution of migrating core workloads to Amazon EKS while ensuring zero-downtime deployments. * Optimize container lifecycle management, networking infrastructure, and cluster provisioning APIs for multi-region reliability. * Collaborate with engineering teams across Robinhood to integrate core platform capabilities like service mesh, authentication, and load balancing. * Identify performance bottlenecks in production environments and implement automated solutions to enhance platform availability. WHAT YOU BRING * Strong proficiency with Kubernetes control plane and data plane components, including container lifecycle management. * Experience deploying, debugging, and managing large-scale distributed systems or containerized platforms in a production environment. * Familiarity with cloud infrastructure, specifically AWS services and managed container environments like Amazon EKS. * Knowledge of container networking concepts, cluster security protocols, and open-source cloud-native tools. * Ability to plan and execute technical projects systematically while providing technical guidance to team members. WHAT WE OFFER * Challenging, high-impact work to grow your career * Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership * Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs * Lifestyle wallet a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more. * Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more! * Exceptional office experience with catered meals, events, and comfortable workspaces. * Monthly commuter stipend to help offset in-office commuting costs Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to  In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. Base Pay Range: Toronto, ON $166,000—$195,000 CAD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.