Principal Software Engineer

12 - 22 years

40 - 100 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Dear Candidates,

Location:

Position:

Key Responsibilities

Architect & Develop Core Systems

  • Lead the design and implementation of scalable, secure, and highly available enterprise cloud AI platform services.
  • Drive evolution of microservices architecture to enhance performance, resilience, and developer productivity.

Technical Leadership & Mentorship

  • Provide guidance and mentorship to engineers, fostering a culture of learning.
  • Establish and enforce best practices for developing cutting-edge AI solutions.

Cross-Functional Collaboration

  • Work with AI research, engineering, product, and UX teams to translate business needs into scalable solutions.
  • Lead architectural reviews and contribute to technical roadmap planning.

AI Innovation & Exploration

  • Explore and evaluate emerging AI/ML technologies, frameworks, and tools.
  • Collaborate with AI research teams to implement GenAI and ML solutions in production.

Quality, Security & Compliance

  • Champion CI/CD, automated testing, observability, and robust security practices.
  • Ensure adherence to industry standards, privacy laws, and internal policies.

Qualifications

Educational Background:

  • Bachelors or Masters in Computer Science, ML/AI, Software Engineering, or a related field.

Technical Expertise:

  • 12+ years of software development experience, including 3+ years in a lead or principal role.
  • Hands-on experience with Python, Go, Java, or C++.
  • Strong understanding of cloud-native architectures, Kubernetes, and platforms like AWS, GCP, or Azure.
  • Experience with SQL/NoSQL, Kafka, and scalable storage solutions.
  • Expertise in microservices, RESTful APIs, GraphQL, and event-driven architecture.

AI/ML & Data Skills:

  • Deep experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on with GenAI technologies, LLMs, and frameworks like LangChain, LlamaIndex, AutoGen, etc.

Soft Skills & Leadership:

  • Excellent communication and stakeholder management skills.
  • Strong problem-solving abilities and a track record of delivering projects end-to-end.
  • Ability to lead in a fast-paced, collaborative environment.

Feel free to reach out for further information or clarification.

Ramya

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