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Mid-level full-stack engineer role based in Rosebank, Johannesburg (on-site), building applications with a React/TypeScript frontend and a .NET 8/C# backend, backed by databases like ClickHouse, SQL Server, and PostgreSQL and deployed on Azure and Cloudflare. Posted via HC Recruit.
Senior ML engineer who productionises, deploys and monitors machine learning, GenAI, RAG and AI agent solutions at scale. Day to day involves building ML pipelines and microservices on Databricks and Azure Kubernetes Service, with CI/CD, MLOps and Docker/Kubernetes at the core.
Senior Data Scientist designing, building, and optimizing ML, AI, and decisioning models for Personal & Private Banking and Digital channels on the Databricks platform — spanning feature engineering, model development, experimentation, risk/fraud modeling, and Generative AI use cases. Core stack: Python, SQL, Databricks, MLflow.
Senior Data Engineer at Indsafri who designs, builds, and maintains scalable AWS data pipelines and platforms, adopting AI-driven engineering practices within a governance-focused framework. Mentors junior engineers, enforces CI/CD and documentation standards, and enables trusted analytics across the organization.
Indsafri is hiring a Data Engineer in South Africa to design, build, and maintain data infrastructure and pipelines (ingestion, streaming, APIs) that deliver high-quality data for analytics and AI. Daily work involves monitoring pipeline reliability and security, meeting SLAs, and collaborating with Data Analysts to document and validate data assets.
A senior individual-contributor role in South Africa designing, building, and operating Databricks/Lakehouse data platforms that enable analytics and Generative AI use cases like RAG. Day to day: production Python/SQL/Apache Spark pipelines with Delta Lake, Unity Catalog, CI/CD, and governance, working in product-aligned squads.
A senior/lead data engineer designs, builds, and operates Databricks/Lakehouse data platforms (Delta Lake, Jobs, Unity Catalog) with Python, SQL, and Apache Spark pipelines, enabling analytics and GenAI use cases like RAG within product-aligned squads while upholding governance, CI/CD, and reliability standards.
Senior Data Engineer at Indsafri (South Africa) who designs, builds, and operates scalable batch and incremental data pipelines on AWS, leading agile delivery and mentoring junior engineers. Core stack is Python, SQL, Git, and CI/CD, with a strong emphasis on governance, security, and the responsible use of AI tools in engineering workflows.
Data engineer who builds, monitors, and optimizes end-to-end data pipelines (ingestion, virtualization, streaming, APIs) and provides first-line data warehouse support under SLAs. Works with SQL, ETL/ELT, data virtualization, and cloud compute/storage to enable analytics and AI initiatives.
Indsafri is hiring a Senior Data Engineer/Data Analyst in South Africa to lead data migration, governance, and audit-trail initiatives. The role translates business requirements into scalable data solutions across cloud and on-prem systems, designs audit frameworks, engages stakeholders, and mentors teams on best practices.
Designs and delivers enterprise data migration projects end to end — ETL/ELT pipelines, validation and reconciliation, and audit-trail/data governance frameworks — while acting as liaison between business stakeholders and technical teams. Core stack: SQL Server, Oracle, Python, SSIS/Informatica/Talend, Databricks; AWS and Tableau advantageous.
Designs and builds a secure self-service web interface plus the orchestration, integration, and automation layer for an automated penetration testing platform, with API integration to backend systems. Stack spans C#/.NET and Python/Java back ends, with React/Angular/Next.js front ends on PostgreSQL or SQL Server.
Senior MERN full-stack developer and technical architect who designs scalable architectures, builds React/Node.js applications, and leads and mentors a team of 4–12 developers while owning sprints, delivery, and technical roadmaps. Core stack: React/Next.js, Node/Express/Nest.js, MongoDB, AWS, Docker/Kubernetes, and CI/CD.
Senior engineer who designs and runs cloud-native platforms, CI/CD pipelines, and observability for mission-critical systems, driving SRE practices (SLOs, incident response, automation) across teams. Core stack centers on Azure, Terraform/Ansible, Docker, Jenkins, and Dynatrace/Grafana, with Python, Bash, and C# scripting.
A senior engineer who designs, automates and operates highly available Azure cloud and Kubernetes platforms, building CI/CD pipelines, infrastructure as code, and SRE practices (SLOs, incident management, observability) for mission-critical production systems.
Indsafri is hiring a Senior DevOps/SRE to design, implement, and run scalable, secure, automated cloud platforms — driving IaC, CI/CD, monitoring, security, and reliability best practices across delivery teams. Kubernetes or OpenShift experience is a plus.
A senior engineer who designs, automates, and operates highly available Azure cloud and Kubernetes platforms for mission-critical applications — building CI/CD pipelines, implementing IaC, driving SRE and observability practices, and leading a team to improve production availability and security.
Indsafri is hiring a Senior Systems Engineer in South Africa to design, develop, and maintain scalable software using C# and .NET, with a strong focus on CI/CD, automation, and test automation. The role involves working in cross-functional Agile teams to ensure reliable, secure, and compliant enterprise systems.
Design, develop, and maintain scalable Java applications with a focus on Spring Boot microservices and RESTful APIs, integrating systems via IBM middleware (IBM MQ, IBM Integration Bus/ACE) in an agile team. Day-to-day work covers coding, unit testing, debugging, code reviews, and technical documentation.
A mid-level backend engineer designs, builds, and maintains secure, scalable digital payment services in Java/Spring Boot using microservices. Day to day: writing production-grade code, contributing to architecture, automated and integration testing, code reviews, CI/CD, and production monitoring, working with Docker/Kubernetes, cloud platforms, Kafka/RabbitMQ, Redis caching, and SQL databases.
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