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Experience / Eligibility
B.E / B.Tech / BCA / MCA / Any Graduate
Salary
₹6 - 10 LPA
Location
Bangalore, Karnataka, India
Suitable For
College graduates, entry-level candidates, and students matching: B.E / B.Tech / BCA / MCA / Any Graduate.
Key Skills to Prepare
Focus on Python, Java, JavaScript, Ruby.
Build and maintain backend APIs and services for our ad marketplace, campaign management, and analytics platforms.
Work with senior engineers to design and implement scalable backend solutions.
Develop RESTful APIs and asynchronous backend workflows.
Work with SQL databases such as MySQL and PostgreSQL and NoSQL technologies such as MongoDB and Redis.
Implement data models, database queries, caching, and basic performance optimizations.
Contribute to backend infrastructure supporting analytics, attribution, and AI-powered platform features.
Collaborate with product, frontend, backend, and DevOps teams to deliver end-to-end features.
Implement authentication, authorization, and basic security practices under the guidance of senior engineers.
Write clean, maintainable, documented, and tested code.
Use Git and participate in code reviews and team development practices.
Learn and contribute to deploying backend services on cloud platforms such as AWS, GCP, or Azure.
Work with Docker for containerizing backend services.
Contribute to CI/CD pipelines and development workflows.
Help monitor, debug, and troubleshoot backend services in development and production environments.
Explore event-driven and distributed architectures using technologies such as message brokers, WebSockets, or GraphQL where appropriate.
1–2 years of professional backend engineering experience, including relevant internship or project experience.
Proficiency in at least one backend language such as Node.js/JavaScript, Go, Ruby, Python, Java or similar.
Good understanding of RESTful API design and backend fundamentals.
Good understanding of asynchronous programming and how backend services communicate.
Familiarity with relational databases such as MySQL or PostgreSQL.
Familiarity with at least one NoSQL database such as MongoDB or Redis is a plus.
Good understanding of data modeling and writing SQL queries.
Familiarity with Git and software development workflows.
Good understanding of Docker and containerized applications.
Exposure to cloud platforms such as AWS, GCP, or Azure is a plus.
Understanding of basic backend security concepts such as authentication, authorization, and secure API practices.
Strong problem-solving and debugging skills.
Good communication and willingness to collaborate with other engineers and product teams.
Strong learning mindset and willingness to work with unfamiliar technologies.
Comfortable working in a fast-paced environment with evolving priorities.
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