Senior Backend Engineer

About this role

This role is for one of Weekday’s clients

Salary range: Rs 5000000

• Rs 18000000 (ie INR 50 - 180 LPA)

Min Experience: 4+ years

Location: Bengaluru, Karnataka, India

JobType: full-time

We are looking for a skilled Senior Backend Engineer to design, develop, and maintain scalable, reliable, and high-performance backend systems. The ideal candidate will have strong expertise in Backend Engineering , with experience building robust APIs, designing efficient databases, optimizing application performance, and developing secure, maintainable services.

In this role, you will collaborate with cross-functional teams, including frontend engineers, product managers, DevOps engineers, and data teams, to deliver high-quality software solutions. You will take ownership of backend architecture, technical implementation, and system reliability while contributing to engineering best practices and long-term technology strategy.

Candidates with additional experience in Distributed Systems, Data Engineering, and Platform Engineering will be preferred, particularly those who have worked on large-scale applications, cloud-native infrastructure, and complex data-intensive systems.

Requirements

Key Responsibilities

• Backend Development and Architecture
• Design, develop, test, and maintain scalable backend applications and services.
• Build secure, reliable, and high-performance RESTful APIs and, where appropriate, GraphQL services.
• Develop modular, maintainable, and reusable code following established software engineering principles.
• Make architectural decisions that support scalability, reliability, and long-term product growth.
• Identify and resolve performance bottlenecks, production issues, and technical debt.
• Database Management and Optimization
• Design and optimize database schemas, queries, indexes, and data access patterns.
• Work with relational and NoSQL databases to support application requirements.
• Ensure data integrity, consistency, availability, and efficient storage.
• Implement caching strategies and other performance optimization techniques.
• System Reliability and Scalability
• Develop backend systems capable of handling increasing traffic and growing data volumes.
• Implement monitoring, logging, error handling, and fault-tolerance mechanisms.
• Participate in code reviews, automated testing, debugging, and production deployments.
• Collaborate with DevOps and infrastructure teams to improve deployment workflows and system observability.
• Cross-Functional Collaboration
• Work closely with product and engineering teams to translate business requirements into technical solutions.
• Mentor junior engineers and contribute to coding standards, documentation, and engineering practices.
• Evaluate emerging technologies and recommend improvements to existing systems.

Required Skills and Qualifications

• Must-have: Strong experience in Backend Engineering, including application development, API design, system architecture, and performance optimization.
• Proficiency in one or more backend programming languages, such as Python, Java, Go, Node.js, or similar technologies.
• Strong understanding of data structures, algorithms, object-oriented programming, and software design principles.
• Experience with SQL and/or NoSQL databases, caching systems, and API integrations.
• Familiarity with version control, automated testing, CI/CD pipelines, and production debugging.
• Understanding of application security, authentication, authorization, and secure coding practices.

Good-to-Have Skills

• Distributed Systems: Experience with microservices, message queues, event-driven architectures, concurrency, and fault-tolerant systems.
• Data Engineering: Familiarity with data pipelines, ETL/ELT workflows, streaming systems, and large-scale data processing.
• Platform Engineering: Experience with cloud platforms, containerization, Kubernetes, infrastructure automation, and developer platforms.
• Exposure to AWS, Azure, or Google Cloud Platform is an advantage.
• Ideal Candidate

The ideal candidate is a proactive problem-solver with strong analytical skills, sound engineering judgment, and a commitment to building dependable software. They should be comfortable taking ownership of complex technical challenges, collaborating across teams, and improving system performance, scalability, and maintainability.