Introduction Our client is seeking an elite AI infrastructure engineer who designs and deploys production-grade runtime environments and platform architectures that power conversational AI systems and automate enterprise workflows at scale!
Architect sophisticated, secure, and cost-efficient cloud environments using Azure, Kubernetes (AKS), Helm, and Infrastructure-as-Code to support large-scale conversational AI and agentic platforms!
The ideal candidate is an industry-leading platform expert with a proven track record operating mission-critical enterprise infrastructure who excels at container orchestration, establishes robust CI/CD and observability frameworks tailored for LLM workloads, bridges the gap between development and operations, and mentors engineering teams on DevOps maturity and cloud compliance!
✅ Expert cloud infrastructure engineering with Azure and production Kubernetes (AKS)
✅ Hybrid and remote working flexibility with 1960 flexible annual hours
✅ Platform leadership role driving automation, security-by-design, and LLMOps
POSITION: Contract: 01 August 2026 – 31 December 2028 EXPERIENCE: 8+ years related experience COMMENCEMENT: 01 August 2026 LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office rotation TEAM: DevOps / Conversational AI & Agentic Systems Platform
Duties & Responsibilities Role Requirements
Own the end-to-end infrastructure landscape for Conversational AI platforms (e.g., ConvAIS) Design, implement, and operate secure, scalable, and cost-efficient AI runtime environments Act as the technical backbone between product, development, data science, and operations Define infrastructure standards, reference architectures, and guardrails for conversational AI use cases Ensure platform reliability, performance, and availability, including incident support and root cause analysis Enable fast but compliant onboarding of new AI use cases and teams Drive automation first: CI/CD, environment provisioning, monitoring, and recovery Contribute to platform roadmap discussions with a strong infrastructure and operational perspective Act as a multiplier: mentoring engineers and spreading infrastructure and DevOps maturity
Please Note: South African citizens/residents preferred.
Valid work permit holders will be considered.
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#isanqa #isanqaresourcing #fuelledbypassionintegrityexcellence #InfrastructureEngineer #DevOps #Azure #AKS #Kubernetes #LLMOps #ConversationalAI #CloudEngineering #Automation #ITHub #NowHiring
Desired Experience & Qualification Qualifications / Experience
Degree in Computer Science, Information Technology, Engineering, or comparable practical experience 5+ years of professional experience in infrastructure, platform engineering, or DevOps roles Proven track record operating mission-critical platforms in an enterprise environment Hands-on experience with cloud-native architectures and Kubernetes in production Practical exposure to AI/ML platform support is required; conversational AI experience is a strong plus Experience working in cross-functional, international teams Strong problem-solving mindset with the ability to balance speed, stability, and compliance
Level Criteria
Communication: Negotiate (discussions and compromise. Issues are short-term operational, medium-term tactical or limited strategic nature) Delivery: Outcomes are complex and require the integration of several nuanced systems and processes in order to deliver on the required standards. Employee may be expected to provide guidance to lower level employees Knowledge: Industry Leader - represents the best practice leader for a product or multiple products in a region or country and will typically represent the product or service in professional boards Problem Solving: Create a product or system based on international best practice or guidelines from other companies that have implemented the same or similar solutions. The problems are complex and may require complex solutions in single systems Supervision: Can solve escalated tasks that require a deep understanding of the product or service for which there are no senior level authority to defer the task to. Can lead team leaders who each have their own team members
Essential Skills Requirements
Cloud infrastructure engineering (Azure preferred) with a focus on high-availability, scalable AI platforms (Kubernetes, container orchestration, networking, IAM) Strong hands-on experience with Kubernetes (AKS), Helm, and platform-level CI/CD pipelines Solid understanding of conversational AI architectures (LLM-based services, APIs, grounding layers, vector stores) Infrastructure-as-Code expertise (Terraform, ARM/Bicep) for reproducible and compliant environments Security-by-design mindset: identity, secrets management, network isolation, and secure service communication Observability fundamentals: logging, metrics, tracing for AI workloads (latency, token usage, cost drivers) Strong collaboration skills with Dev, Data Science, and Product to translate functional requirements into resilient infrastructure
Advantageous Skills Requirements
Experience operating enterprise-grade AI platforms under regulatory, data protection, and compliance constraints Knowledge of cost optimization for AI workloads (GPU/CPU trade-offs, scaling strategies, usage-based charging) Exposure to MLOps / LLMOps concepts (model deployment, versioning, prompt lifecycle, evaluation) Familiarity with event-driven architectures (Kafka, Azure Event Hub) in AI-driven systems Experience with cross-region / multi-environment setups (DEV, INT, PREPROD, PROD) Understanding of internal enterprise IT standards, security policies, and approval processes Ability to coach engineers and shape platform engineering best practices
Interested? Feel free to also view our other opportunities > https://www.careers-page.com/isanqa
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