Senior Platform Engineer

This role is for one of the Weekday's clients

Salary range: Rs 5000000 - Rs 7000000 (ie INR 50-70 LPA)

Min Experience: 4 years

Location: Bengaluru

JobType: full-time

We 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.

Requirements

• 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.

• 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.

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