Python Developer

Job Summary: 

We are seeking a highly skilled and experienced Backend Lead to design, develop, and maintain scalable, reliable, and high-performance backend solutions for our multi-tenant SaaS products. The ideal candidate will have a deep understanding of distributed systems, microservices, and cloud-based architectures, with a proven track record in handling production issues at scale. You will collaborate closely with the AI Lead and Frontend Lead to ensure seamless integration of backend services, AI/ML pipelines, and front-end functionalities, thereby

delivering a robust, secure, and feature-rich experience to our customers.

Key Responsibilities:

1. System Architecture & Design

• Define and implement the overall backend architecture for multi-tenant SaaS applications, ensuring scalability, high availability, security, and compliance.
• Design microservices and RESTful/GraphQL APIs and Websockets in alignment with front-end and AI requirements.
• Establish design patterns and best practices for code modularity, performance optimization, and scalability.
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2. Scalability & Performance

• Identify performance bottlenecks and oversee optimization strategies (caching, load balancing, message queues, etc.).
• Implement and maintain monitoring/observability solutions (e.g., Prometheus, Grafana, Loki, ELK Stack) to ensure real-time system health insights and rapid incident response.
• Establish performance baselines, conduct stress tests, and implement disaster recovery strategies.

3. Production Stability & Issue Resolution

• Proactively monitor production environments, anticipating potential failures and bottlenecks.
• Triage, diagnose, and resolve production incidents with minimal downtime, using robust logging, tracing, and on-call rotation strategies.
• Drive root cause analysis and post-mortems for production incidents, implementing preventative measures.
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4. Collaboration & Cross-Functional Coordination

• Work closely with the AI team to integrate MLOps pipelines, ensuring smooth data flow and secure model deployment.
• Collaborate with the Frontend team to provide well-defined API contracts, enabling efficient UI/UX development.
• Partner with DevOps to define CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) practices.

5. Team Leadership & Mentorship

• Lead and mentor a team of backend developers, setting clear goals and providing guidance on best practices.
• Perform code reviews to ensure high code quality, maintainability, and adherence to design standards.
• Foster a culture of continuous learning, encouraging the adoption of new technologies, tools, and methodologies.

6. Security & Compliance

• Implement secure coding practices and follow industry standards (e.g., OWASP Top 10).
• Work with compliance teams to ensure data privacy and regulatory requirements (HIPAA) are met.
• Oversee authentication/authorization frameworks (OAuth, JWT, etc.) and data encryption at rest and in transit(Encryption, SSL/TLS).

7. Documentation

• Maintain comprehensive technical documentation, including architecture diagrams, APIs, database schemas, and operational runbooks.
• Facilitate knowledge sharing sessions and handovers to ensure smooth onboarding of new team members.

Qualifications

Education:

Bachelor’s or master's degree in computer science,engineering, or a related field.

Experience:

• 8+ years of experience in backend or full-stack development, with 3+ years in a technical lead or architect role.
• Demonstrated history of leading and delivering large-scale, distributed systems in production environments.

Technical Expertise:

• Languages & Frameworks: Proficiency in modern backend languages (e.g., Python) and associated frameworks (Django/FastAPI, etc.).
• Database Systems: Strong knowledge of both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases, including data modeling and query optimization.
• Microservices & Architecture: Hands-on experience with microservices,containerization (Docker, Kubernetes), and service mesh architectures.
• Cloud Platforms: Experience with cloud providers like AWS and Azure for deployment, scaling, and monitoring.
• CI/CD & DevOps: Familiarity with CI/CD pipelines, Git workflows,infrastructure-as-code, and automated testing.
• Monitoring & Observability: Proficiency with tools like Prometheus, Grafana, ELK Stack, Loki for real-time monitoring and log analysis.

Soft Skills:

• Leadership: Ability to lead teams, manage conflict, and drive a vision for the backend architecture.
• Communication: Strong written and verbal communication skills to coordinate with cross-functional teams (AI, Frontend, QA, Product).
• Problem-Solving: Analytical mindset for troubleshooting complex issues in high- pressure environments.
• Collaboration: Demonstrated capability to work seamlessly across multiple teams and stakeholders.

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system

About the Company:

Progcap is a Fintech and AI company that pioneers alternative credit scoring for small businesses using proprietary data from non-traditional sources. We aim to fuel credit to 100 million under-banked SMEs in the emerging markets worldwide with an initial focus on India.

Progcap is Sequoia-backed Series A startup, comprising of top tier talent from finance, technology, data science and operations. The Company is the recipient of the World Bank's "SME Product Innovation of the year", 2018 award, Madrid.

What you will be doing:

• Lead and provide first level supervision to project teams and ensures successful delivery of tasks assigned to the team along with sharing of project updates & related communication with stakeholders.
• Writing and ensuring reusable, testable, and efficient code.
• Managing data across multiple databases and providing analysis to stakeholders.
• Design and implementation of low-latency, high-availability, and performant applications.
• Implementation of security and data protection (permission classes and middleware.)
• Implementation of user authentication and authorization across multiple systems, servers, and environments.

What you bring:

• Should have minimum 4 years of experience in development using Python and 1 year in leading Python based projects.
• Strong experience in Application lifecycle management – development, testing and deployment.
• Strong understanding and experience with code version control tools (git, svn, etc.)
• Expert in Python with working experience on Django, AWS, Lambda, RDS, NoSQL, Docker, Kubernetes.
• Integration of data storage solutions redis, postgresql, mysql (big query, big table, pubsub, appengine).
• Strong in data structures and algorithms
• Preferably candidates with Financial/lending Applications development experience with any Fintech Co.

Intro

We are looking for an experienced Senior Software Engineer to join our team and drive the technology growth of our pay later platform. At Rely, we want passionate and talented individuals that want a challenge building the next generation payment products for Millennials across Asia. Together we will build the best products using amazing technology.

What will you do

• Design and implement business critical, high performance large scale services.
• Translate business requirements into scalable and extensible design.
• Coordinate with cross functional teams (Data, UX, QA etc.) on planning and execution.
• Continuously improve code quality, product execution and customer delight.
• Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies.
• Building and managing automated build/test/deployment environments.
• Lead team members on functional and nonfunctional requirements and spread goals across the team.
  
  

What will you need

• 3+ years of hands-on experience with python and a backend framework (ideally django)
• 1+ years Hands-on experience working with Javascript and JS frameworks (Angular, React)
• Hands-on experience in designing, developing, testing and deploying applications large scale applications in any language or stack
• Experience working with high scale distributed systems.
• Practical knowledge of scalable software design.
• Good working knowledge of AWS
• Proficient with APIs, web protocols, OAuth, git.
• Ability to understand and implement Continuous Integration and Continuous Delivery.
• Well versed with Lean methodologies, TDD and Test Engineering and Automation.
• Ability to design and implement low latency RESTful services.
• Willingness to learn new languages and methodologies.

What would be a bonus

• Experience in production environments with large data sets
• Experience in scaling systems to millions of users.
• Work experience in a fast-growth startup
• Experience in DevOps tools but not limited to Docker, Kubernetes
• Experience in Gunicorn and Nginx