Software Engineer III at Applied Materials

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Elasticsearch, Databricks, Snowflake, React, Angular, Vue.js, ETL, Data Quality, APIs, CI/CD, Cloud Platforms, DevOps, Data Engineering, Secure Coding

Industry

Semiconductor Manufacturing

Description

Design, develop, and maintain high-quality software solutions with a focus on scalability, performance, and reliability. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust software systems. Build and optimize data pipelines, ETL processes, and data integration workflows to ensure high data quality and integrity. Develop and maintain APIs for data access, search, and analytics, ensuring seamless integration with frontend and other systems. Write clean, maintainable, and well-documented code following industry best practices. Contribute to the design and implementation of reusable software components and data models. Participate in code reviews to ensure adherence to software engineering standards and improve code quality. Implement secure coding practices and ensure compliance with software development and data governance standards. Contribute to the development of automated testing frameworks and CI/CD pipelines to ensure software and data quality. Proficiency in Python programming with experience in frameworks like FastAPI for developing scalable backend systems and RESTful APIs. Hands-on experience with Elasticsearch, including indexing, query optimization, and performance tuning for search and analytics applications, as well as integrating data from platforms like Databricks and Snowflake. Familiarity with modern UI frameworks such as React, Angular, or Vue.js, with the ability to build responsive, user-friendly interfaces and integrate them with backend APIs. Experience in data engineering workflows, including building ETL pipelines, ensuring data quality, and creating reusable libraries for data processing and analytics. Knowledge of cloud platforms, preferably Microsoft Azure, along with DevOps practices like CI/CD pipelines, automated testing, and secure coding standards. 2 - 4 Years

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Responsibilities

Design, develop, and maintain high-quality software solutions while collaborating with cross-functional teams. Build and optimize data pipelines and APIs to ensure high data quality and seamless integration with other systems.