Senior Engineer, Software (Full stack)

• Design and implement scalable, reliable, and secure applications and services across microservices, batch jobs, web applications, data processing, and IoT device integration.
• Deliver distributed computing platforms utilizing Open Source, Data, and Cloud technologies, with a strong focus on AWS.
• Leverage AI-assisted software engineering workflows (e.g., GitHub Copilot, Cursor, Devin, Claude Code ChatGPT) to accelerate prototyping, automate testing, and optimize code refactoring.
• Champion best-in-class software engineering processes, including clean code principles, Test-Driven Development (TDD), monitoring, and performance benchmarking.
• Lead the productization of assigned projects utilizing various open-source tools, ensuring high availability for features handling millions of requests daily.
• Collaborate with DevOps teams to provide deep insights into the scalability of cloud-native technologies and streamline CI/CD pipelines.
• Maintain rigorous version control and branching strategies utilizing Git.
• Contribute to internal knowledge sharing through technical blogs, documentation, and stakeholder presentations.

Who you are and what you bring :

• Master’s degree (IS, CS, E&C) with 6+ years of experience, or a B.Tech (IS, CS, E&C) with 8+ years of experience from a reputed institute.
• Robust programming expertise in Java (Spring Framework, Spring Boot), Python (FastAPI, Django) or any combination of programming languages.
• High proficiency in modern code editors and IDEs (e.g., VS Code, IntelliJ IDEA, PyCharm, Devin, Claude Code, Cursor) and experience integrating AI-assistive plugins to maximize developer productivity.
• Practical experience utilizing AI-driven development workflows, including automated code review tools, AI-assisted security vulnerability scanning, and intelligent CI/CD pipeline optimizations.
• Deep understanding of Microservices and event-driven architectures, Docker containers, and Kubernetes for both cloud and on-premises deployment models.
• Hands-on experience with modern data ecosystems and databases, including Apache Spark, Kafka, Pulsar, HDFS, Apache Airflow, Cassandra, MongoDB, Elasticsearch, and time-series databases.
• Proven track record working with a variety of AWS services.
• Excellent understanding of core protocols and security concepts such as HTTP, MQTT, SSL, Public Key Infrastructure (PKI), OAuth, and SAML.
• Strong working knowledge of design patterns and SOLID principles, coupled with a deep understanding of monitoring and logging tools.
• Strong understanding of prompt engineering principles to effectively collaborate with AI coding assistants, ensuring the generated code aligns with enterprise architecture and security standards.
• Exceptional presentation and communication skills, with the ability to persuade and clearly articulate technical ideas to diverse stakeholders.
• Hands-on experience integrating Large Language Models (LLMs) and AI APIs (e.g., OpenAI, Gemini, Claude) into enterprise-scale cloud applications.
• Familiarity with building Retrieval-Augmented Generation (RAG) pipelines, interacting with vector databases, or deploying machine learning models in a cloud-native ecosystem.