Java : Technical Lead / Architect

Java Technical Lead / Architect

• Location:

   India  : Remote

• Job Type:

   Full-time 

• Experience.

  9+ yrs exp

Technical Lead / Architect

Key Responsibilities:

• Design and oversee software architectures that 

  leverage multiple programming languages such as Java, C#, Go, or Python ,JavaScript,Ruby.

• Provide technical leadership in building scalable, secure, and resilient software systems.
• Collaborate with software engineers, 

  DevOps, and UX designers to ensure cohesive software architecture and seamless integrations.

• Optimize software performance, troubleshoot architectural issues, and implement best coding and security practices.
• Stay updated with emerging programming languages, frameworks, and industry trends to drive innovation.
• Ensure adherence to 

  software development methodologies, CI/CD pipelines, and DevOps best practices.

• Mentor and guide development teams in adopting best practices for multi-language software development.
• Work with 

  cloud platforms (AWS, Azure, GCP) to design and deploy robust infrastructure solutions.

• Define and enforce coding standards, system design principles, and architectural patterns.

Required

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field from a Tier 1 institution.

• 10+ years of experience in software development with proficiency in multiple programming languages.

• Strong knowledge of 

  object-oriented, functional, and reactive programming paradigms.

• Experience in 

  leverage multiple programming languages such as Python, Java, JavaScript, C#, Go, or Ruby.

• Expertise in

  databases (SQL, NoSQL) and cloud computing services.

• Deep understanding of software security principles and best practices.
• Familiarity with

  DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).

• Strong analytical and problem-solving skills with the ability to work in an agile environment.

Preferred Qualifications:

• Experience with AI/ML frameworks and tools.
• Contributions to open-source projects.
• Knowledge of blockchain, IoT, or cybersecurity.
• Experience with event-driven architectures and serverless computing.