Technical Lead Engineer

5 Months ago • All levels
Software Development & Engineering

Job Description

The Technical Lead Engineer will lead and manage a team of software engineers, ensuring high performance and quality delivery. They will design, develop, and maintain scalable Python applications, architect and implement cloud solutions on AWS and Azure, and collaborate with cross-functional teams. Responsibilities also include mentoring team members, implementing DevOps practices, developing and maintaining APIs, managing database design, and driving team productivity. The role requires strong leadership, communication, and problem-solving skills, along with expertise in cloud services, DevOps tools, and database systems.
Must Have:
  • Strong proficiency in Python programming.
  • Extensive experience with AWS or Azure cloud services.
  • Solid understanding of DevOps practices and tools.
  • Experience with FastAPI and GraphQL.
  • Strong knowledge of database systems (SQL and NoSQL).
  • Good understanding of design patterns and microservices architecture.
  • Experience with MLOps and LLMOps.
  • Experience with Databricks.
Perks:
  • Supportive work culture that encourages learning and development.

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Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. 

What We Offer

Location:

Bangalore,IND

At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits

You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.

Job Description:

Responsibilities:

  • Lead and manage a team of software engineers, ensuring high performance and quality delivery.
  • Design, develop, and maintain scalable and robust Python applications.
  • Architect and implement cloud solutions on AWS and Azure, ensuring best practices in security, scalability, and cost-efficiency.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Mentor and guide team members in technical and professional growth.
  • Implement DevOps practices to streamline CI/CD pipelines and automate deployment processes.
  • Develop and maintain APIs using FastAPI and GraphQL.
  • Ensure the team follows best practices in coding, testing, and documentation.
  • Manage database design, optimization, and maintenance.
  • Drive productivity within the team by implementing efficient workflows and leveraging code assist tools.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Technical Manager or similar role, leading large teams.
  • Strong proficiency in Python programming.
  • Extensive experience with AWS or  Azure cloud services.
  • Solid understanding of DevOps practices and tools (Docker, Kubernetes, Jenkins, etc.).
  • Experience with FastAPI and GraphQL.
  • Strong knowledge of database systems (SQL and NoSQL).
  • Good understanding of design patterns and microservices architecture.
  • Experience with MLOps (Machine Learning Operations) for deploying and managing machine learning models in production.
  • Experience with LLMOps (Large Language Model Operations) for deploying and managing large language models.
  • Experience with Databricks for big data processing and analytics.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and leadership skills.
  • Ability to drive productivity and leverage code assist tools to enhance team efficiency.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Relocation Eligible:

No

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

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