Technical Lead Full Stack

2 days ago

Bengaluru South Karnataka, India Sigmoid Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Company Description

Sigmoid is an AI-first company that partners with organizations to modernize data, transform business operations, and enable superior decision-making through advanced AI solutions. With expertise in AI/ML, GenAI, Agentic AI, data engineering, and business intelligence modernization, Sigmoid delivers tailored solutions for diverse industries. Operating from 12+ global delivery centers, including the USA, UK, Netherlands, and India, the company is backed by Peak XV Partners. Recognized as an industry leader, Sigmoid has received accolades from ISG, Everest Group, Forrester, and many other esteemed organizations for its innovative solutions and significant business impact. For more details, visit Sigmoid Careers.

Role Description

This is a full-time on-site position for a Technical Lead Full Stack based in Bengaluru South. The Technical Lead Full Stack will be responsible for designing and developing scalable and secure full-stack applications. The role involves overseeing a team, managing project timelines, and collaborating with stakeholders to deliver high-quality solutions. The candidate will actively participate in code reviews, optimize application performance, and guide best practices in software development.

Qualifications

  • Expertise in front-end development technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
  • Proficiency in back-end technologies including , Java, Python, or .NET, with experience in database management (SQL/NoSQL).
  • Knowledge of cloud platforms like AWS, Azure, or Google Cloud, and continuous integration/continuous deployment (CI/CD) pipelines.
  • Experience in team leadership, code reviews, and ensuring best practices in software development.
  • Understanding of software design patterns, microservices architecture, and RESTful API development.
  • Strong problem-solving, analytical, and troubleshooting skills.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience with AI/ML-based applications and big data technologies is a strong plus.

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