This is a remote position that could be based anywhere in the United States or Canada.Calix is leading a service provider transformation to deliver a differentiated subscriber experience around the Smart Home and Business, while monetizing their network using Role based Cloud Services, Telemetry, Analytics, Automation, and the deployment of Software Driven Adaptive networks.As part of a highly motivated global Cloud Engineering team, the right candidate will play a critical hands-on functional leadership role as Engineering Technical Lead/AVP and drive architecture design, implementation, and deployment of high value Revenue Edge Cloud solutions for our customers.Responsibilities and Duties:Serve as the strategic partner and technology leader to enhance and release Calix Cloud features.Lead discussions and drive deliverables across multiple engineering teams globally with an eye on the big pictureDesign, develop and maintain backend infrastructure, workflows, and services for enabling easy to use solutions for Customer Marketing organizations within service providers.Work closely with Cloud product owners to understand, analyze product requirements, provide feedback, and deliver a complete solution.Technical leadership of software design in meeting requirements of service stability, reliability, scalability, and securityParticipate and drive technical discussions within engineering group in all phases of the SDLC: review requirements, produce design documents, participate in peer reviews, produce test plans, support QA team, provide internal training and support TAC team. Drive change throughout the organization via automation and enabling end-to-end test-driven development.Triage and resolve customer escalations and field issues.Location:Remote-based position located in the United States or Canada.#LI-RemoteCalix requires all employees based in North America who will work onsite at a Calix office, attend in-person meetings, and/or travel on behalf of Calix to be fully vaccinated. Calix will consider requests for reasonable accommodations as required under applicable law.15 years of highly technical, hands-on software engineering experience with at least 5+ years of hands-on Cloud Analytics experience managing data engineering or business intelligence products.Deep understanding big data analytics and frameworks such as Presto, Dremio to enable the same.3 years experience leading geographically distributed teams to successful delivery of quality solutions.5+ years of experience working in various analytics enablers like Tableau, Qlik or the equivalent.5+ years’ experience in delivering complex data pipelines for enabling big data analytics using PySpark, Kafka, Spark Streaming or Kafka Streams.Strong, creative problem-solving skills and ability to abstract and share details to create meaningful articulation.Ability to drive technical discussions across x-functional teams. Proficient in design and implementation of microservices-based, API/Endpoint architectures.Good understanding of implementation and deployment of Cloud based solutions (preferably AWS).Strong background in transactional databases and good understanding and experience with no-SQL datastores.Expert in Java. Proficiency in other languages like Go, Python, NodeJS/JavaScript a plus. Organized and goal-focused, ability to deliver in a fast-paced environment.Experience building scalable solutions and in choosing the right data store technologies for data analytics (Cassandra, Elastic, Greenplum, Redshift).Practical understanding and usage of AWS (or Azure) Cloud platform and services.BS degree in Computer Science, engineering, or mathematics or equivalent experience.
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