Software Engineer

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