Senior Platform Engineer

This role is for one of the Weekday’s clientsSalary range: Rs 5000000 – Rs 7000000 (ie INR 50-70 LPA)Min Experience: 4 yearsLocation: BengaluruJobType: full-timeWe are on a mission to transform how consumer finance companies engage with their customers, delivering better outcomes through technology and innovation. We’re looking for a Senior Software Engineer to join our Platform team and play a key role in building the Intelligence Engine (PIE) that powers our products.RequirementsWhat You’ll Do

• Design and architect scalable systems, robust platforms, and reliable applications.
• Write, test, and maintain code in a multi-language environment – primarily Python, Golang, and Node.js.
• Lead code reviews, maintain documentation, and resolve complex bugs, especially those with high impact.
• Analyze system performance, manage capacity, and troubleshoot large-scale distributed systems.
• Take ownership of non-functional requirements like scalability, performance, and security.
• Ensure product quality with comprehensive unit, integration, and regression testing.
• Collaborate with other teams across engineering to drive cross-functional initiatives and mentor junior developers.
• Influence technical direction and contribute to high-level and low-level system design and architecture.
• Drive deployment and operational excellence, ensuring production-grade reliability and scalability.

What You’ll Bring

• B.Tech/BE/M.Tech in Computer Science or equivalent practical experience.
• 4+ years of experience in designing and developing high-throughput, distributed systems.
• Deep understanding of both SQL and NoSQL databases such as PostgreSQL, MongoDB, DynamoDB, Redshift, Snowflake, or BigQuery.
• Proven expertise in building scalable and secure applications, with flexibility to learn and adopt new technologies quickly.
• Hands-on experience with AWS, Docker, Kubernetes, and CI/CD DevOps tools.
• Familiarity with observability tools such as Sentry, CloudWatch, Prometheus, and ELK.
• Strong debugging and troubleshooting skills, especially with unfamiliar or legacy codebases.
• Bonus: Foundational knowledge in Machine Learning and Artificial Intelligence.
• Strong problem-solving abilities, attention to detail, and effective communication skills.
• Comfortable working in a fast-paced environment and exploring new technologies.

Tech Stack Overview

• Languages: Python, Golang, Node.js
• Databases: MongoDB, PostgreSQL, Databricks
• Infrastructure: AWS (EKS, EC2, Lambda), Databricks
• GenAI Tools: Cursor, Devin, Lovable, Bolt, Claude, ChatGPT, Perplexity