Francis Alexander

🚀 Site Reliability Engineer – Future-Proof Your Career in HPC 🚀 Location: Remote (Global team, global scale) Type: Full-timeVisa Sponsorship: No Do you get a buzz out of making complex systems hum at scale? Do you secretly enjoy shaving milliseconds off performance bottlenecks? Are you the type who believes “if it’s not automated, it’s broken”? If so, read on… We’re on the hunt for a Site Reliability Engineer to join a high-growth team running mission-critical compute environments across the globe. This isn’t your average SRE gig — you’ll be working at the bleeding edge of infrastructure where uptime, throughput, and ultra-low latency aren’t just buzzwords, they’re survival tactics. Why You’ll Love This Role🌍 Impact at scale – your work underpins globally distributed, performance-intensive environments used by some of the most demanding workloads on earth.🔧 Hands-on depth – from tuning kernels and optimizing I/O to running Kubernetes clusters and automating everything in sight.🧠 Upskill into HPC – get cross-trained in High Performance Computing, supported by world-class partners (yes, that includes the big names like NVIDIA 👀).🎓 Mentorship & growth – you’ll both learn and lead, helping junior engineers level up while expanding your own mastery in HPC and GPU-powered infrastructure.What You’ll Be DoingDesigning, running, and evolving resilient, scalable infrastructure.Optimizing Linux systems down to the BIOS, kernel, and hardware subsystems.Automating infrastructure lifecycles and simplifying troubleshooting through code.Keeping things observant with Prometheus, Grafana, and custom monitoring wizardry.Working shoulder-to-shoulder with HPC engineers to bring next-gen performance into production.Playing a key role in 24/7 operations, but backed by a team that’s big on collaboration and smart rotations.What You BringDeep Linux wizardry (Ubuntu is your second home).Strong scripting/automation chops (Python, Bash, Ansible).Experience running orchestration platforms (Kubernetes, MAAS, etc.).Networking fluency: TCP/IP, DNS, VLANs, routing, switching.A knack for explaining complex technical decisions to both engineers and non-techies.Bonus points if you’ve dabbled in HPC, GPU infra, or InfiniBand (but don’t worry if not — we’ll help you get there).Perks & CultureRemote-first and flexible, because great engineers live everywhere.A team that values do → document → automate.An environment that celebrates diversity, curiosity, and real talk.The chance to shape the future of infrastructure where AI and HPC collide.

🚀 Founding Python Engineer – Build the Future of FinTech (and Have Fun Doing It) About Us We’re a well-funded, early-stage fintech startup 💸 on a mission to change how trading firms handle tax and compliance. Sounds dry? Not here. We’re turning a painful, spreadsheet-ridden process 📊 into sleek, automated, real-time tech ⚡ that actually works for traders and asset managers. Our platform unlocks both investment and tax alpha 📈—optimizing portfolios down to the tiniest lot in milliseconds. We’ve got serious market traction, institutional backing, and a big vision. Now we need a founding engineer to help make it happen. The Role You’ll be the CTO’s right hand 🤝, building the core backend that makes our platform hum. From designing scalable Python services 🐍 to crafting the algorithms that power real-time trading and compliance, you’ll be working on systems that actually move markets (and make them more tax-efficient 💼). This isn’t a “keep the lights on” role—it’s greenfield, high-impact engineering with the freedom to make big calls and own them end-to-end. What You’ll Do🛠 Architect and build Python services for real-time, tax-aware trading workflows📊 Design algorithms for tax-loss harvesting, gain/loss timing, and compliance magic⚡ Build ultra-low-latency systems that handle concurrency & multithreading with ease🌐 Develop APIs and backend services with FastAPI for speed and scalability☁ Deploy and run production workloads on Azure (you build it, you run it)🤓 Collaborate with portfolio and quant teams to turn financial strategies into blazing-fast code⚙ Take ownership of architecture, CI/CD, observability, and performance tuning🌱 Help define our engineering culture from the ground upWhat You Bring💪 6–8 years of Python in production—building systems that scale and perform🌐 Strong backend experience with distributed architectures & API design (FastAPI preferred)🌀 Solid grasp of multithreading, concurrency, and designing for low latency☁ Hands-on experience with Azure (bonus for Azure Functions, Event Hubs, or Cosmos DB)📈 Strong data modeling skills and a nose for optimization❤️ A “you build it, you run it” mindset—owning your code from design through production support💡 Bonus points for experience in financial markets or compliance workflowsWhy You’ll Love It Here🤝 Direct access to the CTO – real decisions, no endless layers of approval🚀 Massive impact – your code will shape our product, our architecture, and our future🔍 A space that’s ripe for disruption – fintech meets tax & compliance (finally done right)💵 Well-funded serious partners – you’ll have the runway and support to build boldlyWork TypeVisa sponsorship cannot be offered for this role This position is fully remote

🚀 Join the Future of Generative AI as a Site Reliability Engineer! 🚀 Ready to dive into the cutting-edge world of generative AI? My client are seeking an experienced Site Reliability Engineer (SRE) to lead our infrastructure and establish the architectural direction for a rapidly growing company. As the first SRE hire, you’ll have the unique opportunity to build and manage a high-performing team while making a massive impact on how they scale and operate. What’s the job?Own the Infrastructure: They're running on AWS, but need someone who can build out the SRE framework with tools like Grafana and Prometheus already in place. The real challenge? Designing systems to handle high-load scenarios, with plenty of room for scale.Lead the Charge: As the first member of the SRE team, you’ll set the stage for future growth—helping them scale with reliability and ensuring our systems can handle anything thrown their way.Bring the Magic to Incident Response: Help shape and implement our incident response strategy. They’re looking for someone who can create a seamless system, starting with the basics (we’ve got on-call support), and scaling up from there.SRE System Building: It's all about systems architecture, monitoring, and reliability. They're not greenfield, but we need you to take things to the next level.Who’s a good fit?You’ve got a Kubernetes (or similar) background and can handle high-scale environments like those in streaming media or live broadcasting (think Twitch or YouTubeTV).Experience with cloud infrastructure is a must (AWS is their home), but you're ready to add that SRE magic.You’re not afraid to build from the ground up—while they’re not starting from scratch, they need someone who’s ready to step in and design for the future.You’ll need to debug like a pro and troubleshoot in real-time while helping to scale their systems as we grow.What’s the team like?Size? Just you to start, but you'll be building and managing a team as we grow.Reporting to? The CTO, because we’re all in this together.Your Impact? HUGE. You’ll shape the reliability strategy that supports the future of generative AI.Perks?Be part of a leading-edge AI company with exciting growth and tons of opportunity.You'll set the stage for a high-impact team and have a hand in everything that comes next.Fast-paced, dynamic environment where your contributions matter.The Process?Screening call, tech interviews (x2), culture fit discussion, and a chat with the CEO.Ready to make a big impact and lead the way in shaping the future of AI? Apply now and join them on this thrilling journey!

🚀 Join the Future of Generative AI as a Technical Lead! 🚀 Are you ready to lead the way in a cutting-edge, fast-paced startup environment? My client is seeking a Technical Lead API Engineer to guide the architectural direction of an exciting new product in the generative AI space. This is your chance to: 🌟 Take charge of the architecture of their client-facing API systems 🌟 Work with state-of-the-art tech to solve complex problems (think concurrency, multi-threading, and high user concurrency) 🌟 Make a huge impact by creating scalable, maintainable solutions as we continue to grow 🌟 Collaborate with an amazing team (and a great technical lead) to shape the future of our product What You’ll Be Doing:Lead the charge in designing and implementing scalable, customer-facing API endpoints that interact seamlessly with both our system and client systemsSolve complex problems related to cloud infrastructure and database usage, ensuring high performance under loadDrive architectural standards for the team (don’t worry—you're not alone! You’ll have a seasoned mentor to guide you in this space)Take over legacy code and bring it into the future—optimizing the old while building the newHelp scale the engineering team as we grow from a lean startup to a big player in generative AIWhat They're Looking For:Experience with large-scale systems that handle thousands (if not more!) of active usersExpertise in concurrency, latency, and multi-threading—you know how to build systems that work under pressureHands-on experience with cloud infrastructure and managing APIs for real-world client systemsLeadership experience or the drive to step into a leadership role—if you’ve led a small team before, that’s a plusA passion for innovation and a drive to stay ahead of the curve in an ever-evolving industryBonus Points For:Experience working in data streaming or data pipeliningBackground in a company like Streamyard (or similar fast-moving tech startups)Having an eye for architecture, but also rolling up your sleeves and diving into the codeWhy Join?Be at the frontlines of generative AI with cutting-edge techHelp shape the direction of the product and the teamWork alongside brilliant minds, including a super supportive technical leadExperience the agility and excitement of a startup environment with huge growth potentialWork in a lean team, but they are scaling fast—get in on the ground floor of something big!) 🚀

🚀 Join the Future of Generative AI as a Technical Lead! 🚀 Are you ready to lead the way in a cutting-edge, fast-paced startup environment? My client is seeking a Technical Lead API Engineer to guide the architectural direction of an exciting new product in the generative AI space. This is your chance to: 🌟 Take charge of the architecture of their client-facing API systems 🌟 Work with state-of-the-art tech to solve complex problems (think concurrency, multi-threading, and high user concurrency) 🌟 Make a huge impact by creating scalable, maintainable solutions as we continue to grow 🌟 Collaborate with an amazing team (and a great technical lead) to shape the future of our product What You’ll Be Doing:Lead the charge in designing and implementing scalable, customer-facing API endpoints that interact seamlessly with both our system and client systemsSolve complex problems related to cloud infrastructure and database usage, ensuring high performance under loadDrive architectural standards for the team (don’t worry—you're not alone! You’ll have a seasoned mentor to guide you in this space)Take over legacy code and bring it into the future—optimizing the old while building the newHelp scale the engineering team as we grow from a lean startup to a big player in generative AIWhat They're Looking For:Experience with large-scale systems that handle thousands (if not more!) of active usersExpertise in concurrency, latency, and multi-threading—you know how to build systems that work under pressureHands-on experience with cloud infrastructure and managing APIs for real-world client systemsLeadership experience or the drive to step into a leadership role—if you’ve led a small team before, that’s a plusA passion for innovation and a drive to stay ahead of the curve in an ever-evolving industryBonus Points For:Experience working in data streaming or data pipeliningBackground in a company like Streamyard (or similar fast-moving tech startups)Having an eye for architecture, but also rolling up your sleeves and diving into the codeWhy Join?Be at the frontlines of generative AI with cutting-edge techHelp shape the direction of the product and the teamWork alongside brilliant minds, including a super supportive technical leadExperience the agility and excitement of a startup environment with huge growth potentialWork in a lean team, but they are scaling fast—get in on the ground floor of something big!) 🚀