# Senior Backend Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-16

**Salary:** INR 5,000,000–18,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**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

### 1\. 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.

### 2\. 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.

### 3\. 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.

### 4\. 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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/85B5D8F648/apply)

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