Padmi
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PON technologies (GPON, XGS-PON, NG-PON2, 50G-PON) · Communication Service Providers (CSPs)

Manager, Software Engineering

BangalorePosted 30 days ago
Technology ManagementSenior
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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.

Role Overview

We are seeking a highly experienced and hands-on Engineering Manager to lead development of Calix Operations Cloud , powering large-scale data-driven systems. The role involves building and scaling real-time data pipelines , managing Java-based distributed systems , and driving high availability and performance across platform.

Key Responsibilities:

Engineering Leadership Lead and manage a team of software engineers across operations cloud.

Drive design, development and delivery of high-scale, low-latency data pipeline solutions

Own end-to-end delivery including architecture, development, testing, and production stability

Mentor engineers and enforce engineering best practices, code quality, and system reliability

Technical Ownership Architect and build real-time streaming pipelines using Kafka and related ecosystem (Streams, Connect, etc.)

Lead development of Java-based microservices and distributed systems

Design scalable systems to handle high-throughput telemetry and alarm/event data

Ensure fault-tolerant, resilient, and observable systems for mission-critical applications

Required Qualifications: 12-15+ years of experience in software engineering, with 3–5 years in engineering management

Strong experience in building data pipelines using Apache Kafka or similar streaming platforms

Proven track record of managing Java-based backend systems

Experience building and scaling distributed systems in production environments

Hands-on expertise in microservices architecture, REST/gRPC APIs

Strong understanding of data processing patterns (real-time, batch, event-driven)

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