СШАSenior Software Engineer, Data and AI Infrastructure
3 нед. назад
150k–245k USD / годСШАSeniorHybrid
aidata engineering
Senior software engineer role focused on data and AI infrastructure at , a global payments and financial platform.
О компании
- is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
- Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Обязанности
- We are looking for a Senior Software Engineer to build the infrastructure that powers our data and AI platforms.
- You will design and operate distributed systems that support high-throughput data processing, real-time workloads, and production AI applications. This includes evolving our Kubernetes and cloud foundations, improving the reliability and scalability of platforms such as Kafka, Spark, and Flink, and building infrastructure for AI traffic management and model serving.
- This is a high-impact role for an engineer who enjoys solving complex infrastructure problems, writing production software, and giving other engineering teams reliable self-service platforms. You will work across application, data, machine learning, security, and infrastructure teams to establish the technical foundations for the company’s next stage of growth.
- This is a hybrid role based in Seattle, WA .
- Design, build, and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms.
- Develop scalable platforms for streaming, batch processing, and real-time data workloads using technologies such as Kafka, Spark, and Flink.
- Build and evolve AI infrastructure, including AI gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.
- Develop self-service capabilities that enable data, AI, and application teams to deploy and operate workloads safely and independently.
- Partner with engineering teams to translate emerging data and AI requirements into durable platform capabilities.
- Delivered meaningful improvements to the scalability, reliability, or efficiency of our data and AI infrastructure.
- Reduced the operational effort required to deploy and manage data or AI workloads.
- Improved visibility into system performance, reliability, capacity, and cost.
- Established reusable platform capabilities adopted by engineering teams.
- Helped define the technical direction for our next generation of data and AI infrastructure.
Требования
- 5+ years in DevOps, SRE, or platform engineering, owning production systems end to end
- Strong experience designing, operating, and troubleshooting production Kubernetes environments.
- Experience building or operating distributed data infrastructure with technologies such as Kafka , Spark , or Flink OR experience developing AI infrastructure such as AI gateways or model-routing platforms.
- Hands-on experience with at least one major public cloud platform, such as AWS, Google Cloud, or Microsoft Azure .
- Strong knowledge of cloud and container networking, including DNS, load balancing, ingress, service discovery, TLS, routing, and network security.
- Proficiency in one or more of Go , Python , or Java , with experience writing maintainable production software.
- A solid understanding of distributed-systems concepts, including availability, consistency, fault tolerance, backpressure, and horizontal scalability.
- Experience operating critical infrastructure using infrastructure-as-code , automated delivery, and modern observability practices.
- Strong debugging skills and the ability to work methodically across multiple layers of a complex system.
- Clear communication skills and a track record of collaborating effectively across engineering disciplines.
- An ownership mindset: you identify important problems, drive them to resolution, and improve the underlying system rather than treating symptoms.
Будет плюсом
- Platform engineering experience, particularly building internal developer platforms or paved-road workflows used by multiple engineering teams.
- Hands-on experience with serving technologies such as SGLang, vLLM, or NVIDIA Triton Inference Server.
- Knowledge of GPU scheduling, batching, model parallelism, memory management, autoscaling, and inference-performance optimization.
- Experience improving the cost efficiency of large-scale data processing or AI inference workloads.
- Contributions to infrastructure, data-platform, Kubernetes, or AI-serving open-source projects.
Другое
- We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
- You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
- does not accept unsolicited resumes from search firms/recruiters. will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.