Senior Software Engineer

5 - 7 years

17 - 19 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

We are looking for a

Senior Software Engineer

who thrives in fast-paced, product-centric environments and has proven experience building and scaling distributed systems. You ll work closely with product, ML, and infra teams to deliver end-to-end features, deploy production-grade code, and explore emerging GenAI technologies.
This is a

hands-on engineering role

where your primary focus will be system design, high-performance code, and ownership from development to deployment.

Key Responsibilities-

Design and develop

scalable, fault-tolerant backend systems

using modern technologies.
Own full lifecycle of features from

architecture implementation testing deployment

.
Collaborate with cross-functional teams to drive product decisions and improvements.
Write clean, maintainable, and efficient code.
Build APIs, microservices, and data pipelines in a cloud-native environment.
Drive performance tuning and reliability across services and infrastructure.

Must-Have Qualifications

5+ years of experience in

backend development

at scale (e.g., handling high throughput, distributed systems).
Strong proficiency in

coding (Java, Go, Python, or Node.js)

.
Solid grasp of

system design, data structures, and algorithms

.
Experience with

CI/CD, Docker, Kubernetes

, or similar deployment tools.
Proven experience deploying code to

cloud platforms

(AWS, GCP, Azure).
Strong problem-solving skills and attention to detail.

Nice-to-Have (Added Advantage)

Experience with

Machine Learning pipelines

or ML infrastructure.
Exposure to

Generative AI

applications.
Familiarity with

RAG-based systems

,

LLMs

,

LangChain

,

LlamaIndex

, or

agentic workflows

.
Contributions to open-source AI/ML or backend projects.
Strong presence on coding platforms (e.g.,

CodeChef

,

LeetCode

, or similar)

What You ll Gain

Opportunity to work on cutting-edge problems at the intersection of

AI, product, and platform engineering

.
Freedom to experiment with emerging technologies in production.
Collaborative team of engineers and researchers solving real-world challenges.
High ownership, fast execution, and strong technical mentorship.

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