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Platform Engineer (CXT

Job in Sandton, 2172, South Africa
Listing for: Travelbyinvestec
Full Time position
Listed on 2026-08-24
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, Backend Developer
Job Description & How to Apply Below
Position: Platform Engineer (CXT)

Description

Investec is looking for a Platform Engineer to join the Channel Data & Insights (CDI) team within the Client Experience Technology division. CDI builds and operates shared platform capabilities that capture, standardise, govern and ope rationalise behavioural, servicing and operational experience telemetry across the Group.

This role is hands‑on and sits at the intersection of platform engineering, software engineering, integration engineering and data platform engineering. The successful candidate will help CDI build trusted, reusable and scalable capabilities that support channel insight, experience measurement, data product enablement and AI‑enabled engineering automation.

Key Responsibilities

  • Telemetry platform engineering:
    Design, build and operate CDI telemetry collection and ingress capabilities, reusable telemetry integration standards and producer onboarding patterns.
  • Measurement architecture and event engineering:
    Support event standards, taxonomies, telemetry data contracts, schema versioning and measurement standards so experiences are measured consistently across channels and products.
  • Data quality and contract enforcement:
    Build validation, conformance and quality monitoring controls that make telemetry trusted, reusable and certification‑ready.
  • Azure platform engineering:
    Design, automate and operate secure Azure platform services using infrastructure as code, CI/CD and cloud governance practices.
  • API and integration engineering:
    Build secure and scalable APIs and integration patterns using enterprise security, event‑driven architecture and reusable framework approaches.
  • Data platform engineering:
    Support CDI's governed data foundation, including data ingestion, transformation patterns, lakehouse and medallion architecture, Databricks and Microsoft Fabric enablement.
  • Platform observability and operational excellence:
    Implement monitoring, alerting, operational dashboards, reliability practices and health measures for production‑grade platform capabilities.
  • Enablement and self‑service:
    Create engineering playbooks, onboarding guidance, technical standards, templates and reference implementations that help consumers onboard with less dependency on CDI.
  • AI‑enabled engineering and automation:
    Use responsible AI‑enabled development practices, automation and documentation patterns to improve engineering productivity and consistency.

Qualifications, Experience and Skills

  • 7+ years experience in platform engineering, cloud engineering, software engineering, integration engineering or data platform engineering.
  • Experience designing, building or operating Azure‑based platforms and production‑critical enterprise services.
  • Experience with API‑driven and event‑driven architecture, telemetry collection, integration services and observability solutions.
  • Working knowledge of data quality controls, data contracts, validation rules, schema management and governed data product enablement.
  • Ability to work with business, data, analytics, technology and governance stakeholders to translate requirements into secure, scalable and reusable engineering solutions.
  • Comfortable operating in ambiguity, documenting standards, supporting adoption and improving ways of working across teams.
  • Azure platform services such as Azure API Management, Event Hubs, Functions, Container Apps, Storage, Monitor, Log Analytics, Key Vault, VNets and Managed Identity.
  • Infrastructure automation and delivery practices, including Terraform, Azure Bicep, Azure Dev Ops, Git Ops and CI/CD.
  • Software engineering skills including .NET, C#, ASP.NET Core, REST APIs, OpenAPI / Swagger, OAuth2 and Type Script.
  • Data engineering capability across Databricks, Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Python, SQL and PySpark where applicable.
  • Telemetry and observability capability, including event‑driven architecture, telemetry engineering, schema design, event contracts, data quality controls, Open Telemetry, Dynatrace and Azure Monitor.

Investec Culture

At Investec we look for intelligent, energetic people filled with passion, integrity and curiosity. We value individuals who in turn value our culture that is, a flexible attitude comfortable to live with ambiguity and willing to challenge the status quo. Diversity, talent and leadership are respected in pursuit of the growth of our business. People who can manage themselves and build strong relationships in order to get things done, will perform in out of the ordinary ways in our environment.

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