Hybrid Database Reliability Engineer – SRE

at ANZ

• Job title: Database Reliability Engineer – SRE
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, BigQuery, Cloud, ElasticSearch, ETL, Google Cloud Platform, MongoDB, NoSQL, Oracle, Postgres, Python, Redis, Terraform
• Location requirements: Hybrid, Wellington, New Zealand

About the role

• Senior Database Reliability Engineer responsible for managing database services across cloud and on-prem platforms at ANZ. Collaborating with teams to optimize performance and ensure reliability on the Payments platform.

Responsibilities

• managing and optimizing database services across GCP, AWS, and on-prem environments, ensuring resilience, security, and high performance
• supporting migrations from on-prem to cloud, automate workflows, and embed compliance and governance controls
• collaborating with developers and Site Reliability engineers to improve developer experience and reduce operational toil through tooling and documentation
• optimizing and supporting Cloud Native databases
• managing and administering relational and NoSQL databases
• supporting database transitions from on-prem to Cloud and hybrid environments
• performing database backup/recovery, performance tuning, and security management
• championing automation using IaC tools, including database change automation
• building internal tooling and documentation to improve developer experience with database services
• exploring and applying AI-driven solutions
• contributing to SRE practices including observability, incident response, and error-budget aligned operations

Requirements

• Strong hands-on experience with Cloud databases (e.g. Cloud Spanner, BigQuery) and relational databases (Oracle, PostgreSQL)
• Expertise in NoSQL databases (MongoDB, Redis, ElasticSearch)
• Experience in database migrations between on-prem and cloud platforms
• Proficiency in database backup/recovery, performance tuning, and security management
• Experience in Terraform, Git, Codefresh, Python, and CI/CD pipelines for cloud infrastructure
• Knowledge of ETL/ELT workflows and data integration patterns
• Understanding of SRE principles (SLIs/SLOs, incident response, observability) and ability to define/measure DB-focused SLIs
• Familiarity with observability tooling and centralized logging/tracing
• Experience with data compliance and security tooling (IAM, encryption, auditing)
• Awareness of FinOps practices for data platforms (cost governance for BigQuery/Spanner and data pipelines)
• Interest or experience in AI-driven database engineering (e.g., query tuning, anomaly detection, usage pattern analysis)
• Ability to influence technical practices within the team, with strong collaboration and stakeholder communication skills

Benefits

• access to wellbeing services
• discounts on selected products and services from ANZ
• flexible working arrangements