Senior Site Reliability Engineer, Database

Airwallex • Washington, DC

2d

About The Position

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, 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 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex 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.
Attributes We Value
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.
About the team
Airwallex's Database team sits within the Infrastructure division and is responsible for the reliability, performance, security, and automation of Airwallex's database infrastructure — primarily Postgres (Google CloudSQL), Redis (Google Memorystore), Clickhouse and many more. The team's mission is to make databases invisible: product engineers should be able to provision, scale, and operate databases safely without needing to become database experts themselves. Today the team has 4 engineers across Singapore and China. We are expanding to Seattle to build a truly global team and to tackle the next generation of database automation — including AI-powered database operations, self-service platforms, and unified observability. You will join a team that values engineering rigor, automation-first thinking, and a bias toward building tools over performing manual toil.
What you'll do
As a Senior/Staff Software Engineer on the Database SRE team, you will design and build the platforms, automation, and AI-driven tooling that power Airwallex's database infrastructure. This is not a traditional DBA role — you are an engineer who builds systems that automate database operations at scale. You'll work across Postgres (CloudSQL) and Redis (Memorystore) on GCP, tackling challenges at the intersection of database reliability engineering, platform automation, and AI. Your work will directly impact the availability, performance, and security of the data layer that underpins Airwallex's global payments platform. This role is based in Seattle.

Requirements

• 5+ years of professional software engineering experience with strong proficiency in backend languages such as Python, Go, Java, or Kotlin.
• Deep experience with PostgreSQL — performance tuning, query optimization, replication, backup/recovery, schema design, and operational best practices.
• Experience with Redis — data modeling, clustering, persistence strategies, and operational management.
• Infrastructure and cloud expertise: Hands-on experience with GCP (or equivalent cloud provider), infrastructure-as-code (Terraform), Kubernetes, and Docker.
• Demonstrated track record of building automation, tooling, or platforms that replaced manual operational work — not just operating databases, but engineering solutions that make operations scalable.
• Strong system design skills, with the ability to architect reliable, scalable infrastructure services.

Nice To Haves

• Experience with Google CloudSQL and/or Google Memorystore specifically.
• Experience building internal developer platforms, database-as-a-service systems, or self-service infrastructure tooling.
• Experience with AI/ML technologies, LLM integration, or building AI-powered automation — particularly applied to infrastructure or operations use cases.
• Familiarity with MCP (Model Context Protocol) or similar patterns for safe programmatic access to production systems.
• Experience with observability tools (Grafana, Prometheus, Datadog) and building monitoring/alerting systems for database infrastructure.
• Experience in fintech, payments, or other regulated industries where data integrity, security, and compliance are critical.

Responsibilities

• Build a unified database observability platform: Design and implement an "eagle-eye" view across all database instances, providing real-time visibility into availability, security posture, reliability metrics, and latency — enabling proactive issue detection before incidents occur.
• Build MCP (Model Context Protocol) for safe AI agent access: Design and implement secure interfaces that allow AI agents to safely query and interact with production databases, enabling the next generation of AI-powered internal tooling while maintaining strict security and access control.
• Build an Agentic AI DBA: Develop AI-powered automation that handles routine DBA tasks — performance tuning, capacity planning, schema review, incident triage, and remediation — reducing manual toil and enabling the team to scale operations without scaling headcount.
• Build self-service database platform: Create tooling that enables product engineering teams to provision, configure, scale, and manage Postgres and Redis instances through self-service workflows, with built-in guardrails for security, compliance, and best practices.
• Drive database reliability and operational excellence: Establish and enforce database best practices across the organization — connection pooling, query optimization, backup/restore strategies, failover procedures, and change management. Participate in on-call rotations for database incidents.
• Collaborate with engineering teams: Partner with product engineers to diagnose database performance issues, review schema designs, and provide guidance on data modeling and access patterns for Postgres and Redis.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed