{"id":44899,"url":"https://alion.io/job/xero-senior-software-engineer","title":"Senior Engineer - Database","company":{"id":5206,"name":"Xero","domain":"xero.com","url":"https://alion.io/company/xero","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":16,"ghost_share":0,"stale_share":0.5,"repost_share":0.063,"time_to_fill_p50_days":33,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sydney, Australia","Auckland, New Zealand","Melbourne, Australia","Wellington, New Zealand"],"countries":["AU","NZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":130000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":8444},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Xero","optional":false}],"status":"live","first_seen_at":"2026-08-06T01:26:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-31T18:02:13Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":86},"description":"The role / impact\nYou will partner with database engineers and product development teams to ensure the resilience, quality, and performance of Xero's core database platform. By combining technical due diligence with modern AI tooling, you will help optimise day-to-day operations across our SQL Server fleet while proactively managing database risks, changes, and releases.\nIn this role, you will play a central part in modernising our data architecture as we migrate services from SQL Server RDS to Aurora Postgres RDS. You will provide strategic guidance on query performance and database design, supporting product teams with deep technical insights to build sustainable, scalable infrastructure for millions of customers.\nThe team / how they connect\nYou will join a supportive and collaborative team of senior database engineers spread across Australia and New Zealand. The team works closely with internal product squads, acting as trusted advisers to solve complex database challenges through open communication and shared problem-solving. Through daily standups and regular technical collaboration, team members learn from one another while supporting continuous delivery across our database platforms.\nThe team is currently working on / Initially, you will focus on\nManaging and optimising day-to-day operations across our extensive SQL Server and SQL Server RDS database fleet.\n\nPlanning and executing end-to-end database migrations from SQL Server to Aurora Postgres RDS.\n\nIntegrating AI tools into engineering workflows to increase efficiency in query analysis, risk identification, and proactive maintenance.\n\nPartnering with product development teams to consult on schema design, query tuning, and database observability using AWS tools.\n\nWhere and how you can work\nThis role is open to applicants based in New Zealand or Australia. We offer flexible working arrangements with no formal day-to-day in-office requirement, though you will have access to our local office spaces and will be invited to gather in person for key team events and connection days throughout the year.\nHere are some of the things we are looking for\nDeep expertise in SQL Server and SQL Server RDS, with a strong emphasis on query analysis and performance tuning.\n\nPractical experience or familiarity with Aurora Postgres RDS, alongside a desire to contribute to active database migration projects.\n\nA pragmatic approach to technical ownership, with the capability to identify risks early and implement sustainable solutions.\n\nClear communication skills that enable you to translate database complexities for product teams and collaborate effectively across disciplines.\n\nCuriosity and openness to leveraging AI tools to streamline routine tasks and enhance engineering productivity.\n\nApply even if your experience isn't a perfect match! 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