> Markdown version of [/jobs/ext/3959500-staff-software-engineer-productivity](https://www.wearedevelopers.com/jobs/ext/3959500-staff-software-engineer-productivity). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Productivity - **Company:** Airwallex US, LLC - **Location:** Seattle, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Code Review, Continuous Integration, Cursor, Programming Tools, Distributed Systems, Gradle, Monitoring of Systems, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Node.Js, Software Architecture, Systems Development Life Cycle, Real-Time Operating Systems, Cloud Services, Prometheus, Microsoft Copilot, Software Engineering, Data Streaming, Rust (Programming Language), Datadog, System Availability, Large Language Models, Grafana, Kotlin, Kubernetes, Data Analytics, Apache Kafka, Build Tools, Terraform, Docker, Elk Stack, Golang, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-productivity-seattle-wa--d90e6aef-50b9-4e2c-8e61-468c8d1f1ee4 ## About the Role Software Engineering, Financial Operations, Artificial Intelligence (AI), Financial Systems, Realtime Operating System, Technical Strategy, Technical Delivery, Process Improvement, Automation, Scalable System Development, * 8+ years of professional software engineering experience, including experience building or maintaining CI/CD pipelines, developer tooling, or platform infrastructure at scale. * Strong proficiency in a backend programming language such as Python, Java, Go, Kotlin, Rust, or Node.js, along with experience using the relevant frameworks. * Experience designing and developing large-scale distributed systems with high concurrency, high load, and high availability requirements. * Strong system design skills and experience defining technical strategy for a team or domain, including architectural decisions that balance performance, scalability, maintainability, and cost. * Hands-on experience with cloud services such as AWS, GCP, or Aliyun, and infrastructure management tools such as Terraform, Kubernetes, and Docker. * Experience providing technical leadership across teams, making architectural decisions, reviewing designs or RFCs, mentoring engineers, and raising engineering quality standards. * Experience with server technologies and the ability to optimise service response and data queries while addressing high-concurrency and high-availability challenges. * Experience partnering with engineering teams and stakeholders to understand workflows, identify productivity needs, and deliver reliable platform solutions., * Experience using AI, machine learning, or LLM integrations to improve developer workflows, automate code review, generate tests, or accelerate engineering productivity. * Familiarity with AI-powered development tools such as Cursor or Copilot, and a perspective on how AI will transform developer productivity engineering. * Experience with observability and monitoring tools such as Grafana, Prometheus, Datadog, or the ELK stack. * Experience operating production infrastructure with strong incident-response practices. * Solid understanding of messaging systems such as Kafka, data streaming, container orchestration, and microservices architecture. * Experience in platform engineering or developer experience at a technology or fintech company. * A data-driven approach to measuring and improving developer productivity, including build times, deployment frequency, DORA metrics, or developer NPS. * Experience with build systems such as Bazel or Gradle, or internal developer portals. * A track record of moving quickly and developing solutions in dynamic, collaborative, and ambiguous environments while working with diverse decision-makers. You'll thrive here if * You're comfortable owning the roadmap yourself. * You own the outcome and you don't wait for permission to fix what's broken. * You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. * You say what you mean. You're direct, but you lead with respect. * You know when to align and when to just decide. Collaboration isn't a way to avoid accountability. ## Description Airwallex's global engineering organization relies on strong developer platforms to move quickly, ship high-quality software, and operate efficiently. You'll lead the technical strategy and delivery of the productivity systems that make that possible. * Lead the technical strategy and delivery of developer productivity platforms that help Airwallex's global engineering organization move faster, ship higher-quality software, and operate more efficiently. * Identify productivity bottlenecks with feature teams, then design and build scalable solutions across developer tooling, CI/CD, cloud infrastructure, observability, messaging, and workflow automation. * Define and drive an AI-powered developer productivity strategy, evaluating and deploying solutions such as AI-assisted code review, automated test generation, intelligent build optimization, and agent-based root-cause analysis. * Set the technical bar across the Infrastructure & Productivity domain by shaping architecture, reviewing RFCs, establishing engineering practices, mentoring engineers, and balancing performance, scalability, maintainability, and cost. * Partner with engineers, SREs, and stakeholders across Airwallex to measure and improve developer experience through signals such as build times, deployment frequency, deployment reliability, and developer satisfaction., The Infrastructure & Productivity team at Airwallex builds the technical foundation that allows our global engineering organization to scale. Our customers are our fellow engineers, and our mission is to make their daily work faster, safer, and more effective by managing the core platforms everyone relies on, from Kubernetes and Kafka to CI/CD pipelines and observability systems. The real challenge lies in keeping these global systems highly reliable and secure while simultaneously optimizing cloud costs, automating manual support, and driving standardization without slowing down product delivery. We operate under the philosophy that best practices should be the path of least resistance, not a forced mandate. If you're a systems thinker who wants to work close to the core of the company and directly shape how we build, deploy, and scale software worldwide, this is where that work happens.