Lead DevOps Engineer

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

What you’ll do

• Own the infrastructure end to end design build and run our AWS-based infrastructure and be the owner when it fails
• Own identity and access for the whole company cloud accounts vendors internal tools onboarding and offboarding
• Own infrastructure security IAM networks secrets audit logs and the technical part of compliance ISO 27001 SOC 2 GDPR
• Keep costs visible and under control across clouds and AI vendors
• Run the hosting and inference infrastructure for our ML and LLM models
• Close repeated operational requests with automation and self-service not with tickets and manual console changes
• Rebuild infrastructure processes around AI code review monitoring and observability alert triage incident investigation
• Build the place where internal tools and apps built with AI by engineers and non-engineers are deployed safely reviewed and monitored Build your own tools with AI too
• Give delivery teams golden paths service templates CI CD safe deploys alerts that make the standard way the easy way without blocking teams

Our stack

• AWS containers serverless managed databases CDN Terraform GitHub Actions Datadog SQL and NoSQL databases event streaming a data warehouse hosted ML LLM inference and others

How we work

• Mission-driven we re building the 1 language learning app and competing to win
• AI-native AI isn t a feature it s how we think build and scale
• Extreme ownership every project has a clear owner who drives it to success
• Less meetings more outputs async first meetings are a last resort
• Speed amp excellence move fast without compromising quality
• Truly all-in impactful work full commitment real rewards
• Data-driven decisions are based on evidence not opinion
• User-obsessed if it doesn t improve the learner experience it doesn t matter

What we offer

• Room to grow as you prove yourself your scope can grow to Head of Platform backend team
• Equity that grows with your impact stock options
• 26 days of holiday plus bank holidays 34 days per year total
• Annual company off-site last year Dubai
• Health and wellness benefits via SafetyWing
• Full AI toolkit access Claude Cursor Codex and other productivity tools
• 1 000 annual education and learning budget
• Fully remote based in Dubai or Eastern Europe

Interview Process

• Intro interview with our Head of Talent
• Technical interviews with our CTO
• Culture interview with a member of the leadership team
• Peer interview with an engineer from the team
• No take-home task We will provide you with feedback throughout the interview process

We're looking for outstanding engineers who thrive in a challenging environment, bring a growth mindset, and operate with a high degree of agency, devotion, and autonomy.

Required

• Ownership mindset: you make decisions and finish work without supervision.
• Deep hands-on AWS experience in production, including containers on ECS.
• Infrastructure as code (Terraform) as your normal way of working.
• A solid security foundation and a real interest in security.
• You have already built working tools with AI coding agents, and you use AI in your daily work.
• You have changed how other teams work without formal authority over them.
• You have set a technical direction and split large projects into deliverable parts.
• Ability to thrive in an async, distributed, written-first culture.

Bonus

• DevSecOps experience and an understanding of how attacks work.
• Hands-on work on SOC 2, ISO 27001 or GDPR.
• Experience with clouds other than AWS.
• Experience with infrastructure for ML / LLM inference.
• Prior experience at an early-stage or high-growth consumer product company.