Manager, Software Engineering

• Technical leadership in all phases of software design and development in meeting requirements of service stability, reliability, scalability, and security.
• Hiring, training, provide technical direction and lead discussions and coordinate deliverables across multiple engineering teams globally.
• Work closely with Cloud and Systems product owners to understand, analyze product requirements, provide feedback, coordinate resources, and deliver a complete solution.
• Drive evaluation and selection of best fit, efficient, cost-effective frameworks for the Calix Cloud platform.
• Drive development of scalable and distributed data systems, related automation platform and network data ingestion infrastructure and services for enabling Calix Cloud suite of products.
• Drive continuous scale and optimization of the platform with an automation and metrics driven approach.
• Participate and drive technical discussions within engineering group in all phases of the SDLC: review requirements, produce design documents, participate in peer reviews, support QA team, provide internal training and support TAC team.
• Have a Test first mindset and use modern DevSecOps practices for Agile development.
• Collaborate with senior leadership to translate platform opportunities into an actionable roadmap, track progress, and deliver new platform capabilities on-time and on-budget.
• Triage and resolve customer escalations and technical issues.

• 10+ years of highly technical, hands-on software engineering experience and cloud based solution development
• 3+ experience leading and mentoring engineering team with strong technical direction and delivering high quality software on schedule, including delivery for large, cross-functional projects and working with geographically distributed teams
• Strong, creative problem-solving skills and ability to abstract and share details to create meaningful articulation.
• Passionate about delivering high quality software solutions and enabling automation in all phases.
• Solid data engineering background, good understanding of ETL technologies and experience with building large scale cloud solutions.
• Experience in designing and developing event-based / pub-sub workflows & data ingestion solutions. Proficiency and hands-on experience with Kafka at scale (or similar) desired.
• Strong background in transactional databases and good understanding and experience with no-SQL datastores.
• Experience with microservices-based, API/Endpoint architectures and orchestration.
• Practical understanding and usage of AWS (or GCP) Cloud platform and services.
• Hands on expert level on one or more of the following programming languages - Java, Go, Python
• Organized and goal-focused, ability to deliver in a fast-paced environment.
• BS degree in Computer Science, Engineering, Mathematics, or relevant industry standard experience to match.

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