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Pepla

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Senior Azure DevOps Platform Engineer (Part-Time)

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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

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