Platform Engineer - Python
Weekday AI
Posted: May 1, 2026
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Quick Summary
Design, build, and scale high-performance backend systems for a next-generation fintech platform, focusing on secure, reliable, and scalable microservices in a cloud-native environment.
Required Skills
Job Description
This role is for one of the Weekday's clients
Salary range: Rs 1000000 - Rs 3000000 (ie INR 10-30 LPA)
Salary
₹10 - 30 LPA
Min Experience: 4 years
Location: Pune
JobType: full-time
We are seeking a highly skilled Platform Engineer – Python Backend to design, build, and scale high-performance backend systems for a next-generation fintech platform. This role sits at the core of product innovation, focusing on developing secure, reliable, and scalable microservices in a cloud-native environment. You will work closely with cross-functional teams including DevOps, AI, data, and frontend engineering to deliver robust APIs and distributed systems that power critical financial applications. The position demands a strong understanding of modern backend architectures, event-driven systems, and production-grade deployments. You will play a key role in shaping system design decisions, ensuring platform stability, and driving performance optimization across services. This is an opportunity for someone who thrives in fast-paced product environments and is passionate about building resilient systems that handle high-volume transactions while maintaining security and compliance standards.
Requirements:
Key Responsibilities
• Design, develop, and maintain scalable backend services and RESTful APIs using Python and FastAPI
• Build and implement microservices architecture and event-driven systems using tools like Kafka, SQS, and SNS
• Develop and manage integrations with external and third-party platforms
• Work with databases and data systems including PostgreSQL, MySQL, MongoDB, Redis, and Neo4j
• Deploy and manage applications using Docker, Kubernetes (EKS), and CI/CD pipelines such as GitLab
• Ensure platform security, compliance, and API governance best practices
• Implement monitoring and observability using tools like CloudWatch, Prometheus, Grafana, and Datadog
• Optimize system performance, latency, and throughput for high-scale production environments
• Collaborate with cross-functional teams to deliver end-to-end product capabilities
• Participate in code reviews, system design discussions, and continuous improvement initiatives
What Makes You a Great Fit
• Strong hands-on experience in Python, FastAPI, and building production-grade microservices
• Deep understanding of cloud-native architectures and AWS services (EKS, Lambda, SQS, SNS, RDS, S3)
• Expertise in containerization and orchestration tools like Docker and Kubernetes
• Solid knowledge of asynchronous programming, API design principles, and authentication frameworks (OAuth2, JWT)
• Experience working with relational, NoSQL, and caching systems in high-performance environments
• Proven ability to work in product-driven teams and deliver scalable fintech or payment solutions
• Strong problem-solving skills with a focus on performance optimization and system reliability
• Good understanding of CI/CD pipelines and deployment automation
• Ability to collaborate effectively across teams and communicate technical concepts clearly
• A proactive mindset with ownership, adaptability, and a passion for building robust backend systems