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
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