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An established industry player is seeking a lead software engineer to innovate in real-time data processing. This role involves tackling complex challenges in a fast-paced environment, focusing on developing cutting-edge anomaly detection algorithms and high-performance microservices. You will work with a talented team to create scalable solutions that impact mission-critical systems. If you are passionate about transforming vast amounts of data into actionable insights and thrive in collaborative settings, this opportunity is perfect for you. Join a dynamic team where your expertise will make a significant difference in enhancing digital experiences for customers.
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences.
ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.
About The RoleThe Application Window is expected to close on 5/2/25. However, the job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
The Alerts team focuses on building a highly scalable stream processing platform to detect anomalies and provide actionable insights to our customers. We work on problems such as providing granular and intuitive controls to configure alerting rules, and building and deploying multiple stream processing platforms. We use technologies such as Flink, Kafka, Debezium, Elasticache etc. to execute multiple complex rules and statistical models to detect anomalies across billions of events. As part of this team, you will contribute to the real-time data platform, build microservices that power critical business workflows, make sure systems are operational, and adhere to strict SLAs.
Alerts platform is critical for our customers to act on potential problems in their mission-critical systems. If you are very passionate about working on huge amounts of data and love seeing them turn into powerful insights to help improve the quality of the internet, this is your team!
What You’ll DoAs part of this role, you will also be responsible for maintaining services in a FedRAMP compliant environment, therefore, must be a U.S. Person (i.e. U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee). This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.
Do you want to make an impact on a team that supports multiple products? As a lead software engineer on our team, you'll be at the forefront of innovation! Your role involves building a real-time data processing platform that handles billions of events daily, pushing the boundaries of what's possible. Dive into the exciting realm of machine learning as you develop cutting-edge anomaly detection algorithms, ensuring we stay ahead of the curve in identifying alerts. Your expertise will shine as you construct high-performance micro-services, contributing to the speed and accuracy of alert events. Get ready to embrace challenges and make a lasting impact in a fast-paced environment where your coding skills truly make a difference!
QualificationsCisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work.