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Lead DevOps Engineer
Praktika.ai. Design, build, and run Praktika's AWS-based infrastructure end to end .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSCloudTerraform
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