Lead Python Developer
Bengaluru, KA, India
BETSOL
Data Management, IT Services, & Cloud-First Digital Transformation: BETSOL is a cloud-first digital transformation and data management company offering products and IT services to enterprises in over 40 countries.Company Description
BETSOL is a cloud-first digital transformation and data management company offering products and IT services to enterprises in over 40 countries. BETSOL team holds several engineering patents, is recognized with industry awards, and BETSOL maintains a net promoter score that is 2x the industry average.
BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and best-in-class performance.
BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for its customers.
BETSOL offices are set against the vibrant backdrops of Broomfield, Colorado and Bangalore, India.
We take pride in being an employee-centric organization, offering comprehensive health insurance, competitive salaries, 401K, volunteer programs, and scholarship opportunities. Office amenities include a fitness center, cafe, and recreational facilities.
Learn more at betsol.com
Job Description
Role Overview
We’re hiring a Lead Python Developer to help us build, scale, and optimize a suite of modern, AI-powered, cloud-native applications. In this role, you'll 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.
You’ll work closely with product, AI/ML engineers, DevOps, and front-end developers to bring new capabilities to life—particularly in the areas of automation, AI integrations, shared agent tools, and scalable APIs.
Key Responsibilities
- Design, build, and lead development of Python-based 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 AWS-native tools (CloudWatch, X-Ray, etc.).
- Work cross-functionally to understand product goals and align technical solutions.
- Help shape hiring decisions and technical evaluations for future team expansion.
Required Skills & Experience
- Bachelor’s degree in computer science or a related field.
- 7+ years of professional Python development experience, ideally in backend-heavy or infrastructure-oriented roles.
- Strong hands-on experience with AWS serverless architectures: Lambda, API Gateway, DynamoDB, Step Functions, and S3.
- Proven success designing and implementing microservices and event-driven 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 Infrastructure-as-Code (Terraform preferred or AWS CDK).
- Excellent communication and leadership skills; ability to guide and influence team direction.
- Strong problem-solving skills and a mindset focused on performance, scalability, and resilience.
Qualifications
Preferred Qualifications
- AWS Certified Developer – Associate or similar certifications that demonstrate hands-on expertise with cloud-native 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 Retrieval-Augmented Generation (RAG) or AI-enhanced document processing and knowledge search architectures.
- Familiarity with real-time communication technologies, including WebSockets, GraphQL, gRPC, and REST APIs.
- Prior experience mentoring or leading development teams, including involvement in hiring, code reviews, and architectural decision-making.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS CI/CD Computer Science Data management DevOps DynamoDB Engineering GitHub GraphQL Lambda LangChain LLMs Machine Learning Microservices OpenAI Open Source Pipelines Python RAG Step Functions Terraform Testing
Perks/benefits: Career development
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