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