Staff Software Engineer

Responsibilities           

• Design, develop and maintain backend infrastructure, workflows, and services for enabling easy to use solutions for Customer Support organizations within service providers.
• Develop solutions to support onboarding, partner integrations, managing, collecting, and analyzing data from large scale deployment of home networks and make them available as actionable insights to CSRs.
• 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:

• 10+ years of highly technical, hands-on software engineering experience
• Independent and Self driven and works in a Team.
• 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.
• 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.    
• Experience in/Knowledge of protocols & technologies for managing home gateways (TR-069/TR-369, TR-98/TR-181), in-home services, monitoring and efficiently curating data from millions of IoT/Wi-Fi devices a plus.
• Good understanding of implementation and deployment of Cloud based solutions (preferably AWS or GCP).
• 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 in designing batch-based, low latency real-time streaming and event-based data solutions (Kafka, Storm, Spark, Flink, Kinesis or like technologies).
• 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.

Education

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

Location:

India – (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)