Manager - Software Engineering

Key Skills: AWS, Looker, Cloud Roles and Responsibilities: 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. Skills Required: 10+ years of highly technical, hands-on software engineering experience and cloud-based BI & Analytics development. 3+ years of experience leading and mentoring engineering teams 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 tools (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 BigQuery/DataBricks, employing best practices for data partitioning and optimization strategies. Strong background in transactional databases and good understanding and experience with NoSQL datastores. Practical understanding and usage of AWS (or GCP) Cloud platform and services. Hands-on expert level in one or more of the following programming languages: Python, Go. Organized and goal-focused, ability to deliver in a fast-paced environment. Education: BS degree in Computer Science, Engineering, Mathematics, or relevant industry standard