Most Loved Workplace® Certified JobSenior Software Engineer, Data Pipelines
Assessed by Most Loved Workplace®About the Role
At Lyft, a Most Loved Workplace® certified employer in the Transportation space, Connecting cities, one ride at a time, for a more equitable future..
<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.&nbsp;</p>
<p>Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as<a href="https://www.envoyproxy.io/"> Envoy Proxy</a>, we open source our ideas for the benefit of others.</p>
<p>As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems.</p>
<p><strong>About the Team</strong></p>
<p>Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement</li>
<li>Design, develop and deploy too
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