Senior Full Stack Software Engineers

2 days ago

Bengaluru, Karnataka, India FLY Hub Travel Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About the Role

We are seeking highly skilled Senior Full Stack Software Engineers to join our dynamic team. The ideal candidates will have a strong background in full-stack development, cloud technologies, and modern deployment practices. You will play a key role in designing and delivering scalable, secure, and high-performance enterprise applications while collaborating with cross-functional teams.

Key Responsibilities

  • Design, develop, and maintain full-stack applications using ASP.NET Core, C#, and
  • Build and integrate RESTful APIs to support seamless communication between front-end and back-end systems.
  • Work with MS SQL Server for database design, query optimization, and performance tuning.
  • Collaborate with DevOps teams to implement CI/CD pipelines and containerized deployments.
  • Deploy and orchestrate microservices using Docker and EKS on Azure.
  • Ensure adherence to best practices in software development, including code quality, testing, security, and scalability.
  • Participate in architectural discussions, mentor junior engineers, and conduct code reviews.
  • Work within Agile teams to deliver high-quality solutions on time.

Required Skills & Experience

  • 68 years of professional experience in full-stack software development.
  • Strong expertise in ASP.NET Core, C#, , and modern JavaScript frameworks.
  • Proven experience working with RESTful APIs and MS SQL Server.
  • Hands-on experience with Azure cloud services.
  • Practical knowledge of CI/CD pipelines, containerization, Docker, and EKS.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration abilities.

Nice to Have

  • Experience with microservices architecture and distributed systems.
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
  • Exposure to monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
  • Knowledge of testing frameworks and automation practices.

  • AI/ML Exposure (Optional):

  • Experience integrating AI services (e.g., Azure Cognitive Services, OpenAI, ML.NET).

  • Knowledge of AI-based feature development such as chatbots, recommendation systems, or predictive analytics.
  • Familiarity with data pipelines or model deployment in production environments.

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