Senior Backend Engineer

This role is for one of our clients
Industry: Technology, Information and Internet
Company Name: Scaler AI Labs Inc
Seniority level: Mid-Senior level
Min Experience: 4+ years
Location: Bengaluru, Karnataka, India
JobType: full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.

Work arrangement
No