Lead Python Engineer with Cloud experience

We are looking for a Lead Python Engineer with extensive backend development experience and deep expertise in cloud-native solutions. The ideal candidate will be able to architect, lead the implementation of, and govern scalable backend platforms using Python and modern cloud technologies, while providing technical leadership to engineering teams.
Responsibilities
Lead the design and development of backend services and APIs using Python
Define and own the architecture of scalable cloud-based solutions and microservices
Drive technical decision-making across databases, queues, cloud services, and integrations
Coordinate cross-functional collaboration with DevOps, QA, product, and engineering teams
Lead architecture discussions, design reviews, and establish engineering best practices
Set and enforce standards for code quality, security, performance, and reliability
Oversee deployment strategies, monitoring, and incident response for production systems
Mentor and guide senior and mid-level engineers, supporting their technical growth
Contribute to technical roadmap planning and align engineering execution with business goals
Requirements
5+ years of experience in Python backend development, including 1+ years in a technical leadership role
Strong experience with frameworks such as FastAPI, Flask, or Django
Deep hands-on expertise with AWS, Azure, or GCP, including architectural design
Proven experience designing and building REST APIs and distributed microservice systems
Solid understanding of relational and NoSQL databases, including performance tuning and data modeling
Strong background in CI/CD, automated testing, and modern software engineering practices
Experience leading architecture and design discussions, and making high-impact technical decisions
Excellent analytical, problem-solving, and decision-making skills
Demonstrated ability to mentor engineers and drive engineering excellence across teams
Proficient communication and stakeholder management skills in English (B2 level or higher)
Nice to have
Strong expertise in Docker and Kubernetes, including production-grade deployments
Experience designing serverless architectures at scale
Hands-on experience with data pipelines or event-driven architectures
Practical knowledge of Terraform or other Infrastructure as Code (IaC) tools