AI Native DevOps Platform Engineer
Allscreens Nationwide Ltd
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Job summary
Aventum Group in London is seeking an AI Native DevOps Platform Engineer who combines cloud infrastructure and platform engineering expertise with hands-on AI-enabled automation. You will design, secure, and operate Azure-based platforms while building cloud-native solutions and deployment pipelines for AI-powered and traditional apps.
Working with Product Engineering and Technical Leadership, you will implement IaC (Terraform), monitor observability, and drive AI-driven platform governance to
Qualifications
- Experience delivering AI-enabled platforms and automation.
- Strong cloud infrastructure and platform engineering background.
- Familiarity with Azure services and IaC tooling (Terraform).
Responsibilities
- Build and maintain IaC using Terraform and AI-assisted practices.
- Design secure, highly available Azure-based cloud architectures.
- Develop deployment pipelines and automation for AI-powered and traditional applications.
- Establish observability and platform governance.
- Drive AI-enabled platform productivity and reliability.
Skills
Tools
Job description
We are seeking an AI Native DevOps / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands‑on experience delivering AI‑enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud‑native solutions using AI‑first engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI‑powered and traditional cloud‑native applications. We are building an AI‑native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control.
- Build and maintain Infrastructure as Code (IaC) using Terraform and similar technologies, leveraging AI‑assisted and agent‑driven engineering practices.
- Design resilient, secure, and highly available cloud architectures.
- Deliver cloud‑native infrastructure solutions using Azure Functions, container platforms, and managed cloud services.
- Optimise platform performance, scalability, reliability, and cost.
- Build world‑class deployment pipelines and automation that enable fast and reliable software delivery.
- Create self‑service development environments and platform tooling.
- Drive engineering productivity through AI, automation, self‑service capabilities and platform standardisation.
- Improve release processes and operational excellence across teams.
- Build world‑class deployment pipelines and automation that enable fast and reliable software delivery.
- Create self‑service development environments and platform tooling.
- Drive engineering productivity through AI, automation, self‑service capabilities and platform standardisation.
- Improve release processes and operational excellence across teams.
- Implement monitoring, logging, tracing, and alerting solutions.
- Establish platform SRE principles and operational standards.
- Proactively identify and resolve reliability, security, and performance issues.
- Lead incident response and continuous improvement initiatives.
- Embed security throughout the software delivery lifecycle.
- Implement security, governance, compliance, and operational controls across production environments.
- Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale.
- Develop guardrails, governance controls, and approval workflows for AI‑driven infrastructure and platform operations.
- Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery.
- Create reusable AI platform services and automation capabilities.
- Support model serving infrastructure and AI observability tooling.
- Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale.
- Develop guardrails, governance controls, and approval workflows for AI‑driven infrastructure and platform operations.
- Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery.
- Create reusable AI platform services and automation capabilities.
- Support model serving infrastructure and AI observability tooling.
Proud member of the Disability Confident employer scheme
Company: Aventum Group
Salary: Not specified
Hours: Full-time
Location: London, EC3R 8AF
Working pattern: Hybrid - 2 days remote
Job type: Permanent
Posting date: 10 Aug 2026
Closing date: 9 Sept 2026
We are seeking an AI Native DevOps / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands‑on experience delivering AI‑enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud‑native solutions using AI‑first engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI‑powered and traditional cloud‑native applications. We are building an AI‑native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control.
Role Accountabilities
- Build and maintain Infrastructure as Code (IaC) using Terraform and similar technologies, leveraging AI‑assisted and agent‑driven engineering practices.
- Design resilient, secure, and highly available cloud architectures.
- Deliver cloud‑native infrastructure solutions using Azure Functions, container platforms, and managed cloud services.
- Optimise platform performance, scalability, reliability, and cost.
- Build world‑class deployment pipelines and automation that enable fast and reliable software delivery.
- Create self‑service development environments and platform tooling.
- Drive engineering productivity through AI, automation, self‑service capabilities and platform standardisation.
- Improve release processes and operational excellence across teams.
- Implement monitoring, logging, tracing, and alerting solutions.
- Establish platform SRE principles and operational standards.
- Proactively identify and resolve reliability, security, and performance issues.
- Lead incident response and continuous improvement initiatives.
- Embed security throughout the software delivery lifecycle.
- Implement security, governance, compliance, and operational controls across production environments.
- Champion secure AI deployment practices.
- Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale.
- Develop guardrails, governance controls, and approval workflows for AI‑driven infrastructure and platform operations.
- Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery.
- Create reusable AI platform services and automation capabilities.
- Support model serving infrastructure and AI observability tooling.
Proud member of the Disability Confident employer scheme
Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.
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