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Sr Fullstack Developer

3 - 6 years

18 - 20 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Description & Requirements
Job Description Introduction: A Career at HARMAN Digital Transformation Solutions (DTS) We re a global, multi-disciplinary team that s putting the innovative power of technology to work and transforming tomorrow. At HARMAN DTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity s needs Key Responsibilities: - Service Configuration & Automation: Configure and bootstrap services using the Go CLI. Develop and maintain Go workflow templates for automating Java-based microservices. Deployment & Upgrade Management: Manage service upgrade workflows and apply Docker-based patches. Implement and manage OS-level patches as part of the system lifecycle. Enable controlled deployments and rollbacks to minimize downtime. - Network & Security Configuration: Configure and update FQDN, proxy settings, and SSL/TLS certificates. Set up and manage syslog servers for logging and monitoring. Manage appliance users, including root and SSH users, ensuring security compliance. - Scalability & Performance Optimization: Implement scale-up and scale-down mechanisms for resource optimization. Ensure high availability and performance through efficient resource management. - Lifecycle & Workflow Automation: Develop automated workflows to support service deployment, patching, and rollback. Ensure end-to-end lifecycle management of services and infrastructure. What You Will Do
  • Perform hands-on software development, including writing code and unit tests, doing proof of concepts, conducting code reviews, and testing in ongoing sprints
  • Work closely with product managers and other full stack developers to implement innovative solutions to challenging web development problems
  • Participates in system design and specifications, program logic and flow-charting, development, testing, debugging, documentation, and support
  • Drive automation and ensure automated test scripts are completed for new features
  • Supports new and ongoing digital projects including corporate and client microsites, and integration with data and marketing platforms
  • Provides analysis of problems and recommends solutions
  • Work collaboratively with a tight-knit product development team
What You Need to Be Successful
  • Utilized various statistical techniques to derive important insights and trends.
  • Proven experience in machine learning model development and analysis using classical and neural networks based approaches.
  • Strong understanding of LLM architecture, usage, and fine-tuning techniques.
  • Solid understanding of statistics, data preprocessing, and feature engineering.
  • Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.).
  • Strong debugging and optimization skills for both training and inference pipelines.
  • Familiarity with data formats and processing tools (Pandas, Spark, Dask).
  • Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem.
Bonus Points if You Have
  • Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar).
  • Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics).
  • Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection.
  • Exposure to distributed training and model parallelism techniques.
  • Prior experience in AB testing ML models in production.
What Makes You Eligible
  • BS or MS degree in computer science, or equivalent 5+ years of work relevant experience
  • 5+ years of experience working in React and able to demonstrate strong JavaScript knowledge
  • 5+ years of experience working with NodeJS backend.
  • 3+ years of experience working with PostgreSQL and MongoDB or any data base.
  • Proficiency working with Docker
  • Proficiency working with GraphQL and Kubernetes
  • Strong experience in systems architecture design and development
  • Strong experience building single-page and progressive web applications
  • Experience using test-driven development practices
  • Ability to efficiently manage and build large, complex web applications
  • Strong analytical and problem-solving skills, with good attention to detail
  • Excellent oral and written communication skills
  • Self-motivated, ability to work independently
  • Ability to use creative thinking to develop innovative solutions to business problems
  • Strong project management skills, including the ability to manage multiple projects simultaneously
  • Ability to mentor other developers

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