Backend Engineer • Senior

Who you are

You have 5+ years of backend engineering experience, particularly in building high-performance systems that support AI and machine learning applications. Your expertise includes designing and implementing data pipelines that are efficient and scalable, ensuring that data flows seamlessly through the system. You are comfortable working in a data-intensive environment and have a strong understanding of the challenges associated with processing large datasets.

You possess deep knowledge of Python and its frameworks, which you have used to develop robust backend services. Your experience with cloud platforms, particularly AWS, allows you to leverage cloud-native solutions to enhance system performance and reliability. You are familiar with machine learning concepts and have worked on projects that integrate intelligent automation into backend processes.

What you'll do

In this role, you will lead the design and scaling of backend services that power Manifest's AI-driven platforms. You will collaborate closely with data scientists and machine learning engineers to create data pipelines that support advanced analytics and machine learning workflows. Your contributions will directly impact the efficiency and effectiveness of the platform, enabling the team to deliver intelligent automation solutions.

You will be responsible for ensuring that the backend architecture is robust and scalable, capable of handling the demands of a fast-paced, data-intensive environment. This includes optimizing existing services and implementing new features that enhance system capabilities. You will also mentor junior engineers, sharing your knowledge and experience to help them grow in their roles.

What we offer

At Manifest, you will be part of a dynamic team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional development and growth. You will have the chance to work on cutting-edge technology in the AI space, contributing to projects that have a significant impact on the industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.