Senior Software Engineer – Cloud Infrastructure – Network Data Ingestion

Responsibilities:          

• Design, develop and maintain backend infrastructure, workflows, and services for collection, processing, analysis, correlation, and monitoring in Calix Cloud.
• Develop solutions to support onboarding, partner integrations, managing, collecting, and analyzing data from large scale deployment of home networks and access network systems and make them available as insights for various BSP user roles.  
• 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 security.
• Participate 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.  
• Support test strategy and automation in both end-to-end solution and functional testing.
• Customer facing engineering role in debugging and resolving field issues.

Qualifications:

• 5+ years of highly technical, hands-on software engineering experience delivering quality software releases.
• Independent, self-driven, and a teamplayer.
• Strong, creative problem-solving skills with the ability to abstract and share details to create meaningful articulation.
• Ability to drive technical discussions across cross-functional teams. 
• Strong implementation background in distributed design, data consumption patterns, and pipelines and experience in designing real-time streaming and event-based data solutions (e.g spark, storm, flink)
• Proficient in design and implementation of microservices-based, API/Endpoint architectures.
• Strong background in designing and developing event-based / pub-sub workflows & data ingestion solutions. Proficiency and hands on experience with Kafka at scale (or similar) desired.    
• Solid experience with load balancers, WebSocket, MQTT and similar technologies at different layers for efficient data abstraction and transfer for large scale data connections / large flow of data.
• 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 and working in defining optimal data models.
• Good understanding of networking concepts.
• Expert in Java. Proficiency in other languages like Go, Python, NodeJS/JavaScript a plus.   
• Organized and goal-focused with the ability to deliver in a fast-paced environment.

Education:

• BS degree in Computer Science, engineering, or mathematics or equivalent experience.