Help design and scale the next generation of Boulevard’s developer ecosystem. You’ll build the core infrastructure that powers our products — from APIs and event-driven systems to cloud architecture — ensuring our platform runs reliably and efficiently at scale. This is an opportunity to join at an exciting stage of growth where you’ll shape technical direction, solve complex distributed systems challenges, and see your ideas come to life quickly.
You would be working in our pre-training team focused on building out our distributed training and inference of Large Language Models (LLMs). This is a hands-on role that focuses on software reliability and fault tolerance. You will work on cross-platform checkpointing, NCCL recovery, and hardware fault detection. You will make high-level tools. You will have access to thousands of GPUs to test changes.
Design, build, and maintain highly available, scalable, and secure infrastructure and systems related to our blockchain participation and custody offerings. Collaborate with cross-functional teams to identify and implement improvements in infrastructure, monitoring, system automation, and incident response. Develop a present and forward looking view into what’s happening in each part of your domain and how it applies to the business.
Take responsibility for our monorepo and the “path to production” for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. To fit in with the team and be productive in our codebase, strong computer science and development fundamentals will be required.
We’re looking for an Engineering Manager to provide strategic leadership and guidance for our Infrastructure Platform or SRE teams; this role is less about individual coding and more about enabling and empowering others to be wildly productive. You’ll be managing a handful of staff, collaborating with product partners, and taking accountability for the quality of our entire technology stack.
We're seeking an experienced Director of Platform Infrastructure to lead critical aspects of Docker's infrastructure platform. In this role, you'll oversee the reliability, efficiency, and developer experience of foundational systems that power Docker's products and services. You'll lead teams responsible for site reliability engineering, cloud cost optimization, internal developer tooling, and core infrastructure components.
We are seeking an early-career cloud engineer with a strong learning mindset to help build and operate our Google Cloud Platform (GCP) environment. You will work with senior engineers and architects to operate implement infrastructure-as-code, networking, security guardrails, automation, and monitoring. This role suits someone with foundational cloud knowledge who is eager to learn quickly and grow into a cloud engineering/architecture path.
Help design, build, and maintain the systems that power data and software platforms, focusing on Google Cloud Platform (GCP) infrastructure, Terraform-based automation, and CI/CD pipelines using GitHub Actions and Jenkins; open to DevOps/Cloud Engineers experienced with other cloud providers.
A Developer Relations Engineer is a technical expert, strategist, and communicator with deep empathy for developers. This role combines practical engineering skills with firm diplomacy across organizational boundaries. The engineer solves problems, invents, understands needs, and adapts tools. They stay current with tech trends and provide insights while fostering innovation.
As a Software Engineer, Customer Infrastructure, you will work closely with customers as well as the engineering team on enhancing, optimizing, validating and automating our cloud-native storage platform. Your role will be a mix of DevOps and software engineering to assure that MinIo is delivering a very high quality product with high-performance, scalability and durability to enable seamless data storage and retrieval for demanding workloads for customers.