Engineering Manager - Cloud Analytics - Calix Cloud

As part of a highly motivated global Cloud Engineering team, the right candidate will play a critical hands-on functional leadership role as Engineering Manager and drive architecture design, implementation, and deployment of the Cloud Data Platform to build data operations/orchestration solutions in Calix Cloud.

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Responsibilities and Duties:

• 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.
• Utilize data visualization tools to create dashboards and reports that communicate insights effectively to both technical and non-technical audiences.
• 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.

Qualifications:

• 10+ years of highly technical, hands-on software engineering experience and cloud based BI & Analytics 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.
• Strong Analytics background with expertise in BI tool (Sisense, Looker, ThoughtSpot, Qlik).
• Experience in database design, optimization, and performance tuning, Solid understanding of data engineering concepts, data modelling, and ETL processes.
• Develop and optimize data warehouses using Big Query/Data Bricks, employing best practices for data partitioning and optimization strategies.
• Strong background in transactional databases and good understanding and experience with no-SQL datastores.
• 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 - Python, Go.
• 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.