• Build and ship security features for North, our AI workspace platform • Develop autonomous agents that talk to sensitive enterprise data • Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms • Pulling in new tools to enhance North's security capabilities • As security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or tooling • Perform application security testing for your code to test its resilience against real-world threats

• Build and scale ML-optimized HPC infrastructure: Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds, ensuring high throughput and low-latency performance for AI workloads. • Optimize for AI/ML training: Collaborate with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, leveraging technologies like RDMA, NCCL, and high-speed interconnects. • Troubleshoot and resolve complex issues: Proactively identify and resolve infrastructure bottlenecks, performance degradation, and system failures to ensure minimal disruption to AI/ML workflows. • Enable researchers with self-service tools: Design intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently. • Drive innovation in ML infrastructure: Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed training) and translate them into robust, scalable infrastructure solutions. • Champion best practices: Advocate for observability, automation, and infrastructure-as-code (IaC) across the organization, ensuring systems are maintainable and resilient. • Mentorship and collaboration: Share expertise through code reviews, documentation, and cross-team collaboration, fostering a culture of knowledge transfer and engineering excellence.

• Design, build, and maintain backend services that power Monstro’s consumer experience • Work across our stack (Python, Node.js, and Java), selecting the right tool for each problem • Build robust APIs serving mobile and web clients while integrating with financial institutions and third-party services • Architect systems that scale gracefully as our user base grows • Identify bottlenecks and implement caching strategies (Redis, CDN, application-level caching) • Optimize query performance and tune container-based applications • Design for resilience with failover strategies, retry logic, and graceful degradation • Containerize and orchestrate services using Docker and Kubernetes • Collaborate with platform teams on infrastructure decisions • Contribute to CI/CD pipelines and ensure smooth, reliable deployments • Understand and work across the full SDLC, from local development through production observability • Work with relational and NoSQL databases, partnering with data engineers on schema and data models • Build integrations with banking systems, payment processors, and financial data providers • Implement event-driven architectures and message queues where appropriate • Build systems with security as a first-class concern, including authentication, authorization, encryption, and audit logging • Ensure systems meet fintech regulatory and compliance requirements • Guide and develop junior and mid-level engineers through code reviews, pairing sessions, and technical coaching • Partner closely with frontend engineers, product managers, and designers to deliver cohesive features • Participate in architectural discussions and incident response, contributing to a culture of continuous learning and technical excellence.

• Contribute to the development and maintenance of our in-house applications by writing C#, SQL, fixing bugs and performing other needed development tasks. • Participate in a structured mentorship program, working closely with senior developers and team leads to build foundational skills and improve coding proficiency. • Learn to identify technical challenges and work through obstacles with little guidance from mentors. • Participate in Agile development processes, such as sprint planning and retrospectives. • Assist in writing and testing code, ensuring that it meets quality standards as reviewed by senior team members. • Work effectively within a team environment, learning to communicate technical challenges and sharing ideas with other team members. • Monitor and troubleshoot IT-supported applications and processes to ensure high availability and performance. • Limited requirements gathering, but working with higher level developers to learn from, ask questions about, and understand a given design.