Lead Python Developer

Summary

• Lead design and delivery Python applications for AI agent development.
• Own architecture, code quality, performance, and team delivery while mentoring engineers and driving best practices across cloud (AWS, Azure, others), CI/CD, observability, and agent-oriented AI tooling.

Key responsibilities

• - Lead a small-to-medium engineering team (510 engineers): plan sprints, prioritize work, run code reviews, mentor and grow engineers.
• - Design and implement scalable, secure, maintainable backend services and APIs in Python (Django, Flask, FastAPI, or equivalent).
• - Architect and operate cloud-native systems across AWS and Azure (compute, container orchestration, serverless, storage, networking, IAM). - Design, build, and maintain AI agents or agentized services (prompting strategies, orchestration, tool integration, safety/guardrails) where applicable.
• - Define and own system architecture, microservices boundaries, data flows, and integration patterns with thirdparty services.
• - Drive CI/CD, deployment automation, infrastructure-as-code (Terraform/ARM/Bicep/CloudFormation), and release processes.
• - Ensure production reliability: monitoring, logging, alerting, incident response, runbooks, and postmortems.
• - Optimize performance, cost, and security of applications and cloud infrastructure.
• - Collaborate with product, QA, security, data, and ML teams to translate requirements into technical solutions.
• - Establish coding standards, testing strategy (unit, integration, contract tests), and development lifecycle best practices.
• - Evaluate new technologies and provide technical roadmaps and estimations.

• Required qualifications -
• 4+ years software development experience with 2+ years in a lead/techlead role.
• - Strong expertise in Python and production-grade frameworks (Django, Flask, FastAPI).
• - Proven experience building cloud-native applications on AWS and Azure (services such as ECS/EKS, Lambda/Azure Functions, RDS/Azure SQL, S3/Blob Storage, API Gateway/Application Gateway, VPC/Virtual Network, IAM).
• - Hands-on experience with containers and orchestration (Docker, Kubernetes/EKS/AKS).
• - Infrastructure as Code experience (Terraform, CloudFormation, or Azure Resource Manager).
• - Solid knowledge of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, Azure DevOps).
• - Strong background in designing RESTful/graph-based APIs, message-driven architectures (Kafka/RabbitMQ), and DB design (Postgres, MySQL, NoSQL).
• - Experience with observability tooling (Prometheus, Grafana, ELK/EFK, Datadog, Application Insights).
• - Familiar with security best practices for cloud and application layers (encryption, secrets management, IAM least privilege).
• - Excellent mentoring, communication, planning, and stakeholder-management skills.