Infrastructure Engineer

Stripe

WHO WE ARE ABOUT PRIVY Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone ABOUT THE TEAM Engineering at Privy is distinguished by: * High urgency: Shipping very small iterations, very fast, to learn very quickly.  * Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". * Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. WHAT YOU’LL DO * Manage and architect multi-tenant infrastructure that serves billions of requests every month * Design our build and deploy systems across the stack, from SDKs to apps to high-traffic APIs to complex secure enclaves, and more – all for a team that ships daily * Drive observability across our product and help keep our systems up and performant in our role in the most critical parts of our customers' stacks * Advocate for making the right technical investments at the right time in a company with ever-evolving technical needs WHO YOU ARE MINIMUM REQUIREMENTS * 8+ years of experience in building highly available production systems * Knowledge of Typescript or Python, Terraform or similar, Cloudflare, and AWS infrastructure * An understanding of modern web and API development best practices * Experience building delightfully simple developer experiences PREFERRED QUALIFICATIONS  * An ability to quickly learn new skills and take on new challenges * Experience at rapidly growing startups and the flexibility it requires * Excitement about authentication, security, or in web3 * An understanding of EC2 Nitro Enclaves and ASGs/Kubernetes

Databricks

P-1428 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and Vector Search.  You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases.  Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.  We’re hiring across multiple teams in our AI Engineering org, including:   THE IMPACT YOU WILL HAVE: * Build LLM infrastructure powering trillions of tokens per week for customers through partner models (OpenAI, Anthropic, Gemini) and self hosted models (Qwen, GPT-OSS, Llama) * Improve reliability, latency, and efficiency of distributed AI workloads * Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences * Shape how developers and data scientists build and interact with AI on Databricks WHAT WE LOOK FOR: * 8+ years of experience in backend or infrastructure engineering * Strong programming skills in Scala, Go, or Python * Experience with distributed systems, scalable APIs, or cloud-native infrastructure * Familiarity with service-oriented architecture, deployment pipelines, and system observability * Strong product and ownership mindset — you care about building the right solution, not just any solution BONUS POINTS FOR: * Experience with real-time serving, ML infrastructure, or GPU orchestration * Exposure to platforms like SageMaker, Vertex AI, or Azure ML * Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang * Built developer platforms or internal tools supporting AI workflows   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $190,000—$261,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.   The successful candidate will join the established DCO team at QRT, working closely with Network Engineering and infrastructure teams you will be responsible for the implementation and physical  deployment of electronic trading infrastructure in support of the firm’s trading activities. Your Future Role within QRT * Contribute to the design and planning of new equipment deployments in line with data centre best practices * Deploy, maintain, and decommission trading infrastructure hardware, including FPGA platforms, ultra-low-latency servers, and high-performance network switches, across a global colocation footprint * Ensure consistent build quality across structured cabling, rack layouts, power distribution, cooling infrastructure, and environmental monitoring * Coordinate installations, upgrades, capacity expansions, and decommissions with exchanges, colocation providers, hardware vendors, and onsite engineers * Support procurement, logistics, inventory management, and the movement of hardware and components between sites * Maintain accurate and up-to-date infrastructure documentation (rack elevations, patching matrices, connectivity layouts) using CMDB tools such as NetBox * Work closely with network engineering and trading teams to ensure physical infrastructure meets performance and operational requirements * Use basic scripting (Python, Bash, Ansible) to support automation, monitoring, and operational tooling where required * Ensure data centre operations meet high standards of security, cleanliness, documentation, and supply management * Install, troubleshoot, and support servers, switches, timing devices, and cabling in live environments * Provide break-fix support in a 24/7 global trading environment Your Present Skillset: * Experience working in low-latency or high-performance trading infrastructure environments (e.g. HFT, exchange colocation, market making) * Strong understanding of hardware and systems used in low-latency trading, including FPGAs, optical taps, high-performance servers, networking, and timing equipment * Solid understanding of hardware and network devices, including basic configuration * Proven experience managing vendors and delivering on-site changes and large-scale deployments to exacting standards * High standards of physical build quality, attention to detail, and operational discipline in infrastructure layout and cabling * Strong documentation skills with a focus on process consistency and operational readiness * Comfortable working in a fast-paced, globally distributed team environment * Willingness to travel internationally and provide occasional evening or weekend support as part of a flexible operations schedule * Ability to participate in an out-of-hours on-call rotation supporting global trading operations   Base salary range for this position is $150,000 to $180,000 per year.  QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.