Lead Platform Engineer - AWS AI Infra, Security & Automation

Praktika.ai; Dubai; Remote; AED 350,000 - 700,000; Full time

Benefits offered by this job

Equity

Remote work

Education budget

Health & wellness benefits

Annual off-site

AI toolkit access

AI learning budget

Job summary

Praktika.ai seeks a highly capable Platform Engineer to own end-to-end AWS infrastructure, IAM, security, and cost management. You will run hosting and inference layers for ML/LLM models, automate repetitive tasks, and build tools to empower delivery teams across a remote-first setup based in Dubai or Eastern Europe.

You will work in a fast-growing, AI-native environment with mission-driven ownership, async communication, and a strong emphasis on security and observability.

Qualifications

• Deep hands-on AWS experience in production, including containers.
• Infrastructure as code (Terraform) as the normal way of working.
• Solid security foundation and interest in security.
• Experience building tools with AI coding agents in daily work.
• Ability to thrive in an async, distributed, written-first culture.

Responsibilities

• Own the infrastructure end-to-end design, build and run our AWS-based infrastructure.
• Own identity and access for the company cloud accounts, vendors, onboarding and offboarding.
• Own infrastructure security, IAM, networks, secrets, audit logs and compliance scope.
• Keep hosting costs visible and under control across clouds and AI vendors.
• Run hosting and inference infrastructure for ML and LLM models.
• Automate repeated operational tasks to reduce tickets and manual changes.
• Improve infrastructure processes around AI code review, monitoring and observability.

Skills

AWS production

ECS containers

Terraform IaC

Security mindset

AI tooling with coding agents

Async/distributed culture

Tools

Datadog

GitHub Actions

ECS

Job description

Praktika.ai seeks a highly capable Platform Engineer to own end-to-end AWS infrastructure, IAM, security, and cost management. You will run hosting and inference layers for ML/LLM models, automate repetitive tasks, and build tools to empower delivery teams across a remote-first setup based in Dubai or Eastern Europe.

You will work in a fast-growing, AI-native environment with mission-driven ownership, async communication, and a strong emphasis on security and observability.