Sr Lead Software Engineer, Back End/SRE - Shopping (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Capital One Shopping is looking for our next Site Reliability Engineer. This position will be a great fit for anyone who wants to optimize, automate and expand business-critical services to a constantly growing customer base. At Capital One Shopping we leverage technology and data to find the best deals for our customers while they shop. To do this we handle huge volumes of data and network traffic; as we grow we need engineers who are ready to help optimize our existing systems and build the next generation of capabilities to support our users and merchants. What You’ll Do: Lead a portfolio of diverse technology projects with deep experience in distributed microservices and full stack systems to create solutions that help meet regulatory needs for the company Regularly contribute across multiple code bases to deliver performance, regulatory, reliability and revenue improvements for the business Contribute to platforms that enable the success of developers, account managers, business partners and our customers Improve visibility to business-critical transactions, guide the creation of SLOs and influence the management of error budgets Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Leverage NodeJS, Docker, AWS, Kafka, Cassandra, Opensearch, Postgres and other technologies to optimize software for ideal business outcomes
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees