DevSecOps/Platform Engineer

This role involves business trips to the UK

Altimetrik is a digital business enablement company. We deliver bite-size outcomes as organizations scale digitalization to accelerate revenue growth without disrupting ongoing business operations. Our practitioners and agile engineering teams create solutions that drive transformation and achieve business goals. With offices across the globe and 5000+ energized practitioners, Altimetrik partners with Fortune 500 and mid-size companies alike to enhance their agility, empowerment, and success. We opened a branch in Poland in 2020 and currently employ over 150 Engineers. 

We are looking for an experienced Cloud & AI Platform Architect to design and implement secure, scalable foundations for agentic AI solutions running in Azure environments.

The role focuses on building reusable platform capabilities covering identity, security, API and tool access, observability, deployment, and infrastructure automation. You will work closely with engineering and data teams to ensure that AI agents can securely interact with enterprise systems and data.

Responsibilities:

• Design secure and scalable Azure architectures for agentic AI and multi-agent solutions.

• Define identity and access management for AI agents, workloads, and enterprise services.

• Design secure API and tool access patterns for AI agents.

• Implement observability and end-to-end tracing for agent workflows, tool calls, and system interactions.

• Establish Infrastructure as Code, CI/CD pipelines, and automated environment promotion.

• Apply security best practices to agentic AI systems, including secrets management, access control, prompt injection, and data protection.

• Collaborate with data and AI teams on governance, security, and integration requirements.

• Define reusable architecture patterns and standards that can be applied across multiple AI solutions.

Your skills & experience:

• Strong experience designing cloud architectures on Microsoft Azure.

• Hands-on knowledge of Azure identity and access management, particularly workload and managed identities.

• Experience with API management, secure service-to-service communication, and enterprise integrations.

• Practical experience with Infrastructure as Code and CI/CD.

• Understanding of observability, distributed tracing, and monitoring of cloud applications.

• Strong understanding of cloud and AI security, including risks specific to agentic AI systems.

• Experience working with enterprise data governance and security frameworks.

• Ability to design architecture patterns and explain technical decisions to both engineering and business stakeholders.

If you value working in an environment that values trust and empowerment then we are waiting for you!