Role Overview
Were hiring a Lead Python Developer to help us build scale and optimize a suite of modern AIpowered cloudnative applications. In this role youll not only architect and develop serverless backend systems on AWS but also help define development best practices guide engineering standards and mentor others across the team.
Youll work closely with product AI/ML engineers DevOps and frontend developers to bring new capabilities to lifeparticularly in the areas of automation AI integrations shared agent tools and scalable APIs.
Key Responsibilities
- Design build and lead development of Pythonbased backend systems using AWS serverless services: Lambda API Gateway DynamoDB Step Functions SQS and S3.
- Define and enforce clean maintainable code standards architecture patterns and scalable API design.
- Act as a technical lead and mentor reviewing code and coaching other developers on architecture patterns and quality.
- Collaborate with DevOps and infrastructure teams to support CI/CD pipelines (GitHub Actions) and IaC (Terraform).
- Integrate with external services and internal systems including OpenAI Google AI and other LLM providers.
- Implement observability best practices using AWSnative tools (CloudWatch XRay etc..
- Work crossfunctionally to understand product goals and align technical solutions.
- Help shape hiring decisions and technical evaluations for future team expansion.
Required Skills & Experience
- Bachelors degree in computer science or a related field.
- 7 years of professional Python development experience ideally in backendheavy or infrastructureoriented roles.
- Strong handson experience with AWS serverless architectures: Lambda API Gateway DynamoDB Step Functions and S3.
- Proven success designing and implementing microservices and eventdriven systems.
- Deep understanding of Python best practices (type hinting modularization error handling dependency management testing).
- Experience with auth mechanisms such as OAuth JWT Cognito or IAM.
- Proficiency with GitHub GitHub Actions and collaboration workflows.
- Familiarity with InfrastructureasCode (Terraform preferred or AWS CDK).
- Excellent communication and leadership skills; ability to guide and influence team direction.
- Strong problemsolving skills and a mindset focused on performance scalability and resilience.
Qualifications :
Preferred Qualifications
- AWS Certified Developer Associate or similar certifications that demonstrate handson expertise with cloudnative AWS development.
- Python certification (e.g. PCEP PCAP PCPP1/2 or equivalent) that validates mastery of Python development standards and best practices.
- Experience working with LLMs or AI/ML frameworks such as OpenAI Google AI Hugging Face or LangChain.
- Exposure to RetrievalAugmented Generation (RAG) or AIenhanced document processing and knowledge search architectures.
- Familiarity with realtime communication technologies including WebSockets GraphQL gRPC and REST APIs.
- Prior experience mentoring or leading development teams including involvement in hiring code reviews and architectural decisionmaking.
Remote Work :
Yes
Employment Type :
Fulltime