
Azure / AWS Cloud Engineer for Data Science
- Hybrid
- Johannesburg, Gauteng, South Africa
- Cape Town, Western Cape, South Africa
+1 more- Cloud Solutions (CSL)
Join as a Senior DevOps Engineer (AWS) to build scalable cloud solutions, automate CI/CD, and work on impactful projects while mentoring teams and driving innovation.
Job description
DVT is one of the top software development companies on the continent. Our engineers consult on cutting-edge platforms at leading enterprises in South Africa and globally, with a strong culture of learning and technical excellence across the Azure and AWS ecosystems.
We are building a pipeline of Cloud Engineers focused on Data Science enablement to support Standard Bank (SBSA) and related data-platform engagements. This is a client-facing consulting role combining data engineering, DevOps automation and platform run/support on the Microsoft Azure stack (AWS exposure beneficial). You will provision and operate secure, well-governed data platforms, build and maintain SQL/SSIS data pipelines, and keep production systems healthy under the bank's incident, change and release processes.
The ideal candidate is a hands-on problem solver who is equally comfortable engineering data pipelines, automating cloud infrastructure, and providing disciplined production support in a regulated financial-services environment.
Job requirements
DUTIES AND RESPONSIBILITIES
Cloud Platform Engineering & Administration (Azure, or AWS equivalent)
Provision and manage Azure resources — virtual machines, storage, networking and integration runtimes.
Maintain the availability, performance and security of the data platform.
Monitor infrastructure health across compute, storage, networking and access.
Manage patching, upgrades and ongoing platform maintenance.
Support hybrid setups, including on-premises to cloud connectivity where applicable.
Data Engineering
Optional: Develop and maintain MS SQL database objects — stored procedures, T-SQL, tables, views and table types.
Optional: Build, schedule and maintain ETL data pipelines using SSIS (and Azure Data Factory / integration runtimes).
Optional: Integrate to the data platform across Silver and Gold layers; ensure data quality, lineage and reliability.
Databricks workloads where required (optional / advantageous — not mandatory).
Maintain documentation for assumptions, logic and version control.
DevOps & Automation
Build and maintain CI/CD pipelines (AWS Code Pipeline, Azure DevOps, GitHub Actions or similar) for application and infrastructure delivery.
Apply version control discipline using Git across all code, pipelines and configuration.
Automate provisioning and configuration using Python and Infrastructure-as-Code (Terraform / ARM / Bicep; CloudFormation/CDK beneficial for AWS).
Establish reusable, well-governed platform build patterns.
Identity, Security & Compliance
Manage Identity & Access — RBAC, managed identities and Key Vault integration.
Ensure platform compliance: security, encryption and audit requirements.
Operate license-to-operate controls including DR, backup and security controls.
Work with infrastructure and security teams on incidents and escalations.
Monitoring, Support & Run-the-Org
Monitor logs and alerts using Azure Monitor and Log Analytics; configure proactive alerting.
Provide production (Run-the-Org) support: troubleshooting, bug fixes, monitoring and corrective maintenance per the bank's Incident and Problem Management process.
Test, document and implement changes per the bank's Change and Release Management process.
Participate in disaster-recovery testing, planning and documentation; adhere to and mitigate audit/compliance findings.
Engineering Delivery (Agile / SAFe)
Evaluate user requirements; advise on design, content and architectural alignment of engineered features.
Provide effort estimation and sequencing; develop, configure and optimise features.
Perform component and assist with system integration testing; plan and execute cutover / migration activities.
Deploy to production, provide quality assurance on new solutions, and transfer skills to bank teams.
Participate in SAFe Agile ceremonies (PI Planning, stand-ups, Scrum of Scrums, System/Solution Demos, Inspect & Adapt) and own allocated story items.
Required Experience and Skills
5+ years in Cloud Engineering, DevOps, Data Engineering or related roles, with hands-on delivery in regulated/enterprise environments.
Mandatory: MS SQL (including stored procedures), SSIS, Microsoft Azure cloud, and version control (Git).
Strong Python for automation and data tooling (highly advantageous).
Azure platform operations: VMs, storage, networking, integration runtimes, Azure Monitor, Log Analytics, RBAC, managed identities, Key Vault.
AWS platform operations: EC2, storage, Route-53, Cloudwatch
CI/CD pipeline construction and Infrastructure-as-Code (Terraform / ARM / Bicep).
Production / Run-the-Bank support: incident, problem, change and release management; DR and backup.
Experience in banking or financial-services / regulated environments.
Beneficial (not required): AWS engineering (EC2, ECS/EKS, Lambda, S3, IAM, CloudFormation/CDK), Databricks, Azure Data Factory / Synapse, Power BI.
Minimum Requirements
Matric (Grade 12) certificate
Bachelor's degree in Computer Science, Information Technology, Engineering or a related field (or equivalent practical experience).
At least two (foundation and solution architect associate) one relevant professional cloud certification (Microsoft Azure or AWS; Kubernetes equivalent acceptable).
South African work authorisation or valid work permit
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