HP
Back-End Engineer
HP, Palo Alto, California, United States, 94306
ACS (Advanced Compute & Solutions) is seeking a Back-End Software Engineer for our high growth, future-oriented businesses including Data Science, AI and other emerging areas. This role will work with some of the most exciting up-and-coming products in HP.
As a Backend Engineer within our Data Science Solutions team, you will play a pivotal role in the development, implementation, and maintenance of robust backend systems that support our applications. You will collaborate closely with cross-functional teams, including software engineers, designers, and product managers, to build scalable and reliable infrastructure to provide solutions for our customers.
Responsibilities
Design, develop, and maintain scalable backend systems and APIs to support applications. Collaborate with other software engineers to integrate pipelines and ensure seamless applications and integrations from various sources, in addition to supporting data-intensive applications and machine learning models.Work closely with front-end engineers to design API endpoints and ensure smooth integration between front-end and back-end components.Implement efficient algorithms and data structures to optimize system performance and data retrieval.Participate in code reviews, identify barriers, and propose solutions to enhance system reliability, scalability, and security.Stay updated with emerging technologies, best practices, and the fast-changing area of Artificial Intelligence and Data Science.Skills / Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.Proven 5+ years of experience in backend development, preferably in data-intensive or machine learning-focused projects.Strong proficiency in programming languages such as Python, Java, or similar languages.Experience with databases (SQL, NoSQL), data modeling, and optimizing database queries for performance.Familiarity with cloud platforms (AWS, GCP, Azure, or others) and containerization technologies (Docker, Kubernetes).Solid understanding of RESTful APIs, microservices architecture, and asynchronous processing.Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.Familiar with Agile methodology concepts for software development.Education And Experience Required
5+ years of experience working as a back-end engineer or similar role.Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is
$102,500.00 -- $148,650.00
annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
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As a Backend Engineer within our Data Science Solutions team, you will play a pivotal role in the development, implementation, and maintenance of robust backend systems that support our applications. You will collaborate closely with cross-functional teams, including software engineers, designers, and product managers, to build scalable and reliable infrastructure to provide solutions for our customers.
Responsibilities
Design, develop, and maintain scalable backend systems and APIs to support applications. Collaborate with other software engineers to integrate pipelines and ensure seamless applications and integrations from various sources, in addition to supporting data-intensive applications and machine learning models.Work closely with front-end engineers to design API endpoints and ensure smooth integration between front-end and back-end components.Implement efficient algorithms and data structures to optimize system performance and data retrieval.Participate in code reviews, identify barriers, and propose solutions to enhance system reliability, scalability, and security.Stay updated with emerging technologies, best practices, and the fast-changing area of Artificial Intelligence and Data Science.Skills / Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.Proven 5+ years of experience in backend development, preferably in data-intensive or machine learning-focused projects.Strong proficiency in programming languages such as Python, Java, or similar languages.Experience with databases (SQL, NoSQL), data modeling, and optimizing database queries for performance.Familiarity with cloud platforms (AWS, GCP, Azure, or others) and containerization technologies (Docker, Kubernetes).Solid understanding of RESTful APIs, microservices architecture, and asynchronous processing.Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.Familiar with Agile methodology concepts for software development.Education And Experience Required
5+ years of experience working as a back-end engineer or similar role.Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is
$102,500.00 -- $148,650.00
annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
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