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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) Senior Azure DevOps Platform Engineer at Pepla, serving a US fintech client building a mortgage platform on Azure. Day to day you automate isolated customer environments: infrastructure as code (Terraform/Bicep), CI/CD, Azure identity/secrets and private networking, monitoring, backup/DR, plus MongoDB/Atlas, Kafka and AI/GPU 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 Dev Ops Platform Engineer for a US-based Fin Tech 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 Dev Ops and/or Git Hub 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 Mongo DB/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 #J-18808-Ljbffr

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