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Senior Site Reliability Engineer, Database

Job in Seattle, King County, Washington, 98127, USA
Listing for: Airwallex
Full Time position
Listed on 2026-04-20
Job specializations:
  • IT/Tech
    Data Engineering, Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 Cloud

SQL), Redis (Google Memory store), 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 ’ll work across Postgres (Cloud

SQL) and Redis (Memory store) 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.

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.
Who you are

We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory:

Qualifications
  • 5+ years of professional software engineering experience with strong proficiency in backend languages such as Python, Go, Java, or Kotlin.
  • Deep experience with Postgre

    SQL — 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…
Position Requirements
10+ Years work experience
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