Senior Azure DevOps Platform Engineer (Part-Time)
Summary
Part-time (0.5 FTE) contract-to-hire role at Pepla, whose engineers support a US fintech client's next-generation mortgage platform on Azure. Day to day you automate isolated customer environments: infrastructure as code (Terraform/Bicep), CI/CD pipelines, identity/secrets management, private networking, observability, backup/recovery, plus MongoDB and Kafka infrastructure.
Pepla is a leading software development company based in Pretoria, South Africa, focused on delivering high-quality, tailored software solutions that optimize business operations. The company’s mission is to empower organizations with cutting-edge technology that enhances efficiency, control, and productivity. Pepla specializes in custom software, web applications, mobile apps, and enterprise systems designed to streamline processes and support growth. A team of skilled professionals collaborates closely with clients to deliver innovative and reliable solutions aligned with unique business needs. Pepla positions itself as a long-term partner in progress, helping businesses transform through technology.
Role Description:
We’re hiring a part-time (0.5 FTE) Senior Azure DevOps Platform Engineer for a US-based FinTech client building a next-generation mortgage platform for the American market. You’ll automate repeatable, isolated customer environments: provisioning, securing and monitoring infrastructure for a containerised, AI-enabled platform on Microsoft Azure. That means infrastructure as code, CI/CD pipelines, identity and secrets management, private networking, observability, and backup and recovery.
This is a contract-to-hire engagement: a paid 90–120 day trial, converting to a 12-month staff augmentation contract on successful completion.
Qualifications
- Terraform and/or Bicep
- Azure DevOps and/or GitHub Actions
- Automated environment provisioning and container deployment
- Azure identity/RBAC and Key Vault/secrets management
- Private networking: VNets and private endpoints
- Monitoring, logging and distributed tracing
- Backup/disaster recovery and production security hardening
- MongoDB/Atlas deployment and operations, and Kafka infrastructure
- AI/model-serving infrastructure and GPU compute where applicable
- Experience automating repeatable, isolated customer environments is particularly valued