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Praktika.ai

Lead DevOps Engineer

Praktika.ai

. Design, build, and run Praktika's AWS-based infrastructure end to end .

Posted 11/11/2026full-timeRemote • United Arab EmiratesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and managing AWS-based infrastructure, with a strong focus on security, compliance, and automation. Proficient in implementing infrastructure as code and collaborating across teams to enhance operational efficiency and AI integration.

Highest-signal resume keywords
AWS Infrastructure ManagementInfrastructure As Code Using TerraformAI Tool DevelopmentSecurity Compliance (ISO 27001, SOC 2, GDPR)DevSecOps Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AWSTerraformInfrastructure SecurityAI Coding AgentsContainers (ECS)CI/CDMonitoringIncident InvestigationAutomationTechnical Compliance
Soft Skills
Ownership MindsetCollaborationAsynchronous CommunicationAdaptabilityInfluencing Without Authority
Tools & Technologies
ECSSelf-Service WorkflowsService TemplatesMonitoring EnvironmentsAI-Powered Tools
Industry Keywords
ISO 27001SOC 2GDPRML InfrastructureLLM Inference

Tech Stack

Tools & technologies
AWSCloudTerraform

About the role

Key responsibilities & impact
  • Design, build, and run Praktika's AWS-based infrastructure end to end
  • Own infrastructure operations and respond when infrastructure fails
  • Manage company-wide identity and access, including cloud accounts, vendors, internal tools, onboarding, and offboarding
  • Own infrastructure security, including IAM, networks, secrets, audit logs, and technical compliance
  • Manage compliance-related technical work for ISO 27001, SOC 2, and GDPR
  • Control infrastructure and AI vendor costs
  • Run hosting and inference infrastructure for ML and LLM models
  • Automate recurring operational requests and create self-service workflows
  • Rebuild infrastructure processes around AI, including code review, monitoring, observability, alert triage, and incident investigation
  • Create safe deployment, review, and monitoring environments for internal tools and applications
  • Build AI-powered tools
  • Provide delivery teams with service templates, CI/CD, safe deployments, and alerts
  • Collaborate with engineering and non-engineering teams

Requirements

What you’ll need
  • Deep hands-on AWS experience in production, including containers on ECS
  • Infrastructure as code using Terraform
  • Solid security foundation and genuine interest in security
  • Experience building working tools with AI coding agents and using AI daily
  • Experience changing how other teams work without formal authority
  • Experience setting technical direction and splitting large projects into deliverable parts
  • Ability to thrive in an asynchronous, distributed, written-first culture
  • Ownership mindset, agency, devotion, and autonomy
  • Bonus: DevSecOps experience and understanding of how attacks work
  • Bonus: hands-on work on SOC 2, ISO 27001, or GDPR
  • Bonus: experience with clouds other than AWS
  • Bonus: experience with infrastructure for ML/LLM inference
  • Bonus: prior experience at an early-stage or high-growth consumer product company

Benefits

Comp & perks
  • Equity that grows with your impact (stock options)
  • 26 days of holiday plus bank holidays (34 days per year total)
  • 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 work
  • Room to grow, with scope potentially growing to Head of Platform (backend team)
  • Annual company off-site