Database Reliability Engineer, Cape Town
Database Reliability Engineer, Cape Town
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Cape Town, South Africa
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Posted: less than a month ago
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Description
OVERALL PURPOSE We are building a small, focused innovation pod inside a fintech scale-up— and data reliability is at the core of everything we ship.
This is not a traditional DBA role. You will own the full lifecycle of data in the pod: pipelines, migrations, schema safety, and the observability to know when something breaks before the business does. You will also own CI/CD and the infrastructure layer on Azure— because in a small, fast-moving team, deployment reliability and data reliability are the same problem.
If you have made the shift from protecting databases to enabling teams to move fast without breaking data, and want to build something from the ground up within a fast-moving agentic development process, this is the role.
KEY RESPONSIBILITIES
Design, execute, and safeguard database and schema migrations— including rollback strategies
Build and maintain data pipelines— from ingestion through to reliable, queryable outputs
Work with modern data tooling (dbt, Snowflake, or equivalent) as the pod's data stack matures
Set up and maintain observability across both data and application layers: logging, metrics, alerting
Design and maintain CI/CD pipelines for rapid, safe deployment
Own the infrastructure layer on Azure: environments, configuration, secrets, networking
Manage containerized workloads using Docker and Azure managed services
Document data and infrastructure decisions so production teams can inherit what we build
THE EXPERIENCE WE’RE LOOKING FOR
Production experience with database migrations and data pipelines in a regulated or financial environment
Comfort with modern data tooling— dbt, Snowflake, BigQuery, or equivalent
Demonstrated experience owning CI/CD pipelines end-to‑end
Hands‑on with Docker and Azure managed services
Strong understanding of observability tooling across data and application layers
Comfortable operating as the sole data reliability and platform function within a small team
Systematic approach to data integrity, deployment risk, and rollback planning
You will be expected to grow into:
Infrastructure as Code practices (Terraform or equivalent)— prior IaC experience is a strong advantage but not a blocker for the right candidate
Advantageous
Familiarity with agentic development workflows or AI‑assisted tooling
Prior experience preparing data systems for handoff to a larger ops or platform team
OUR TECH STACK
Azure
Snowflake
DBT
Python
SQL
Hex
GitHub
#J-18808-Ljbffr
This is not a traditional DBA role. You will own the full lifecycle of data in the pod: pipelines, migrations, schema safety, and the observability to know when something breaks before the business does. You will also own CI/CD and the infrastructure layer on Azure— because in a small, fast-moving team, deployment reliability and data reliability are the same problem.
If you have made the shift from protecting databases to enabling teams to move fast without breaking data, and want to build something from the ground up within a fast-moving agentic development process, this is the role.
KEY RESPONSIBILITIES
Design, execute, and safeguard database and schema migrations— including rollback strategies
Build and maintain data pipelines— from ingestion through to reliable, queryable outputs
Work with modern data tooling (dbt, Snowflake, or equivalent) as the pod's data stack matures
Set up and maintain observability across both data and application layers: logging, metrics, alerting
Design and maintain CI/CD pipelines for rapid, safe deployment
Own the infrastructure layer on Azure: environments, configuration, secrets, networking
Manage containerized workloads using Docker and Azure managed services
Document data and infrastructure decisions so production teams can inherit what we build
THE EXPERIENCE WE’RE LOOKING FOR
Production experience with database migrations and data pipelines in a regulated or financial environment
Comfort with modern data tooling— dbt, Snowflake, BigQuery, or equivalent
Demonstrated experience owning CI/CD pipelines end-to‑end
Hands‑on with Docker and Azure managed services
Strong understanding of observability tooling across data and application layers
Comfortable operating as the sole data reliability and platform function within a small team
Systematic approach to data integrity, deployment risk, and rollback planning
You will be expected to grow into:
Infrastructure as Code practices (Terraform or equivalent)— prior IaC experience is a strong advantage but not a blocker for the right candidate
Advantageous
Familiarity with agentic development workflows or AI‑assisted tooling
Prior experience preparing data systems for handoff to a larger ops or platform team
OUR TECH STACK
Azure
Snowflake
DBT
Python
SQL
Hex
GitHub
#J-18808-Ljbffr
Highlights
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Company nameLulalend
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Job positionDatabase Reliability Engineer
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