Python Developer

At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Principal Python Engineer to join an agile, collaborative team where your voice matters as much as your code.

You won’t just be managing infrastructure, you’ll be a technical partner helping us build resilient systems that scale.

We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here.

We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key.

At Mindera we encourage the use of AI to assist with coding and related tasks. We find a persons skill in engineering and software craft, has a big impact long term successful delivery, with or without AI.

Our goal in the interview process is to understand the candidates knowledge and skill with engineering. If you need to, or plan to use AI, please be transparent with us when you're using it, to avoid issues and misunderstandings that can either: impact your chance of securing the role or impact your success at Mindera.

National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated.

💪 How You'll Contribute

• Build Software & APIs: Build software services and APIs using Python frameworks (ideally FastAPI ) to create smooth, reliable data processing and deployment experiences.
• Cloud Infrastructure Engineering: Design and maintain secure cloud infrastructure from a software engineering perspective, handling core networking components like WAF and CDN.
• Deploy & Orchestrate: Use Terraform to manage infrastructure as code and deploy scalable services using Kubernetes (specifically AKS) and Docker.
• Build & Maintain Pipelines: Implement end-to-end data solutions , ensuring data flows correctly across real-time (Kafka/Kinesis) and batch architectures

🌿 We're Looking for Someone Who...

• Technical Design: Sets technical direction and aligns architecture with organizational strategy. Defines and promotes best practices while effectively communicating complex designs to diverse stakeholders.
• Drives Python Excellence & Core Engineering Practices: Brings mastery in Python and related ecosystem frameworks to lead language and technology adoption across multiple teams. Acts as an expert in identifying and promoting industry best practices, code versioning, advanced debugging, performance tuning, and troubleshooting high-throughput Python applications.
• Elevates Quality & Testing Standards: Serves as an expert in modern testing methodologies, automated test frameworks, and quality assurance strategies, actively defining and driving best practices across multiple engineering and data teams.
• Integrates Security, Observability & Performance: Guides teams on embedding security into the software development lifecycle. Optimizes complex Python applications and data pipelines for maximum performance, resource efficiency, and deep operational observability.
• Build & Deployment: Collaborates on robust CI/CD workflows, DevOps capabilities, and automated deployment pipelines across the organization. Drives operational best practices and continuous infrastructure improvements across multiple teams.
• Ensures Operational Resilience: Holds deep expertise in supporting, monitoring, and operating critical production software systems, leading the resolution and post-mortem analysis of complex technical issues.
• Clear Technical Communication, Agile Delivery & Leadership: Demonstrates expert-level execution within Agile frameworks, driving continuous process improvement across teams. Serves as an exceptional communicator capable of translating intricate technical concepts into actionable insight for executive leadership and key partners in English.

🛠 Your Technical Toolkit:

• Principal level Tech knowledge and proven experience as shared above for at least 2 years and recently.
• Programming & APIs: at least 15 years of experience working consistently with Python, with deep expertise in organizing large projects and building web services using FastAPI .
• AI knowldge: Experience building AI -enabled applications, particularly in recommendation or conversational systems and evaluation frameworks for LLM or AI systems. Clear understanding of how AI systems differ from traditional deterministic systems.
• Cloud & Networking: Experience with Azure and cloud infrastructure (Networking, WAF, CDN) is a Huge plus.
• IaC & Containers: Proficient in Infrastructure as Code using Terraform , with hands-on experience in AKS / Kubernetes and Docker is a Huge plus.