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Mindera

Principal – Python Engineer

Mindera

. Build software services and APIs using Python frameworks, ideally FastAPI .

Posted 9/24/2026full-timeRemote • MoroccoLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates deep expertise in Python development, particularly with FastAPI, and extensive experience in cloud infrastructure management using Azure, Terraform, and Kubernetes. Proven ability to lead technical direction, optimize performance, and implement best practices in software engineering and data solutions.

Highest-signal resume keywords
Python DevelopmentFastAPI Web ServicesAzure Cloud InfrastructureInfrastructure as Code (Terraform)Kubernetes (AKS) Deployment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software Design PrinciplesData ModelingAutomated Testing FrameworksPerformance TuningDebugging High-Throughput ApplicationsCI/CD WorkflowsAgile MethodologiesSecurity in Software DevelopmentData Pipeline OptimizationAI-Enabled Application Development
Soft Skills
Technical CommunicationCollaborationLeadershipProblem SolvingProcess Improvement
Tools & Technologies
TerraformKubernetesDockerKafkaKinesisWAFCDNCI/CD ToolsAutomated Deployment PipelinesMonitoring Tools
Industry Keywords
Cloud InfrastructureSoftware EngineeringAgile FrameworksDevOpsAI Systems

Tech Stack

Tools & technologies
AzureCloudDockerKafkaKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Build software services and APIs using Python frameworks, ideally FastAPI
  • Design and maintain secure cloud infrastructure from a software engineering perspective
  • Handle core networking components including WAF and CDN
  • Manage infrastructure as code using Terraform
  • Deploy scalable services using Kubernetes, specifically AKS, and Docker
  • Implement end-to-end data solutions
  • Ensure data flows correctly across real-time architectures using Kafka/Kinesis and batch architectures
  • Set technical direction and align core system designs with strategic goals
  • Drive Python language and technology adoption across multiple teams
  • Define and promote engineering, testing, quality, security, observability, and performance best practices
  • Collaborate on CI/CD workflows and automated deployment pipelines
  • Support and monitor critical production systems
  • Lead resolution and post-mortem analysis of complex technical issues
  • Drive continuous process improvement across Agile teams
  • Work closely with leadership, including the CEO and COO, and clients
  • Guide and teach others while collaborating with an agile team

Requirements

What you’ll need
  • Deep expertise in software design and architectural principles
  • Ability to solve complex infrastructure and data modeling challenges
  • Experience setting technical direction and communicating architectures to diverse stakeholders
  • At least 7 years of experience with Azure and cloud infrastructure, including Networking, WAF, and CDN
  • At least 7 years of experience with Infrastructure as Code using Terraform
  • Hands-on experience with AKS/Kubernetes and Docker
  • At least 10 years of Python development experience
  • Deep expertise organizing Python projects and building web services with FastAPI
  • Expertise in advanced debugging, performance tuning, and troubleshooting high-throughput Python applications
  • Expertise in modern testing methodologies, automated test frameworks, and quality assurance strategies
  • Experience embedding security into the software development lifecycle
  • Experience optimizing Python applications and data pipelines for performance, resource efficiency, and observability
  • Experience with CI/CD workflows, DevOps capabilities, and automated deployment pipelines
  • Deep expertise supporting, monitoring, and operating critical production software systems
  • Expert-level execution within Agile frameworks
  • Exceptional technical communication skills in English
  • Experience building AI-enabled applications, particularly recommendation or conversational systems
  • Experience with evaluation frameworks for LLM or AI systems
  • Clear understanding of how AI systems differ from traditional deterministic systems

Benefits

Comp & perks
  • Permanent contract
  • Unlimited PTO
  • Flexible working hours
  • Training & conferences
  • Create your own training plan
  • Work with large scale systems powering global businesses
  • Collaborative, politics-free environment
  • Lean and self-organization culture
  • Freedom and responsibility
  • Feedback and empathy