📍 Job Overview

Job Title: Staff Software Engineer – Cloud Data Pipeline
Company: Calix
Location: Bangalore, Karnātaka, India
Job Type: On-site, Full-Time
Category: Backend Developer, Data Engineer
Date Posted: 2025-06-11
Experience Level: 10+ years

🚀 Role Summary

📝 Enhancement Note: This role focuses on cloud data pipeline development, requiring a strong background in data engineering, cloud solutions, and technical leadership. The ideal candidate will have experience in GCP, big data engineering, and data governance.
Lead architecture design, implementation, and technical direction for cloud data pipelines.
Collaborate with global teams to deliver scalable, reliable, and secure data solutions.
Drive continuous optimization of data pipelines with automation and modern DevSecOps practices.

💻 Primary Responsibilities

📝 Enhancement Note: The candidate should be comfortable working with multiple programming languages, big data frameworks, and cloud platforms to ensure efficient data ingestion, transformation, and storage.
Technical Leadership: Provide technical direction and coordinate deliverables across multiple engineering teams globally.
Cloud Solutions: Evaluate and select best-fit, efficient, cost-effective solution stacks for Calix Cloud data platforms.
Data Pipeline Infrastructure: Develop and extend data lake solutions to enable data science workbenches and ensure data quality, consistency, security, compliance, and lineage.
Agile Development: Adopt a test-first mindset and use modern DevSecOps practices for Agile development.
Customer Escalations: Triage and resolve customer escalations and technical issues.

🎓 Skills & Qualifications

Education: A BS degree in Computer Science, Engineering, Mathematics, or relevant industry-standard experience.

Experience: 12+ years of highly technical, hands-on software engineering experience, with at least 7 years in cloud-based solution development.

Required Skills:

Strong, creative problem-solving skills and ability to abstract and share details.
Passionate about delivering high-quality software solutions and enabling automation in all phases.
Good understanding of big data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, governance, integration, consumption patterns).
Experience in designing and performance tuning batch-based, low-latency real-time streaming and event-based data solutions (Kafka, Spark, Flink, or similar frameworks).
Practical experience with GCP Cloud platform and services, especially the Data ecosystem (BigQuery, Datastream, DataProc, Composer, etc.).
Deep understanding of data cataloging, data governance, data privacy principles, and frameworks to integrate into data engineering flows.
Advanced knowledge of data lake technologies, data storage formats (Parquet, ORC, Avro), and query engines and associated concepts for consumption layers.
Experience implementing solutions that adhere to best practices and guidelines for different privacy and compliance practices around data (GDPR, CCPA).
Expert-level proficiency in one or more of the following programming languages: Python, Java.

Preferred Skills:

Experience with data privacy regulations and data governance frameworks.
Familiarity with data modeling and data warehousing concepts.
Knowledge of data visualization and business intelligence tools.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in cloud data pipeline development with examples of architecture design, implementation, and optimization.
Showcase proficiency in big data engineering, data governance, and data privacy with relevant projects.
Highlight technical leadership skills with examples of mentoring, team collaboration, and project delivery.

Technical Documentation:

Document code quality, commenting, and documentation standards for data pipeline projects.
Explain version control, deployment processes, and server configuration for cloud data pipelines.
Describe testing methodologies, performance metrics, and optimization techniques used in data engineering projects.

💵 Compensation & Benefits

Salary Range: INR 2,500,000 - 3,500,000 per annum (Estimated based on industry standards for a Senior Data Engineer role in Bangalore)

Benefits:

Competitive salary and performance-based bonuses.
Health, dental, and vision insurance.
Retirement savings plans with company matching.
Generous time-off policies, including vacation, sick leave, and holidays.
Professional development opportunities, such as training, conferences, and certifications.

Working Hours: Full-time position with standard working hours (Monday-Friday, 9:00 AM - 6:00 PM IST) and occasional flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: The salary range is estimated based on market research for Senior Data Engineer roles in Bangalore, considering the candidate's experience and the role's requirements.

🎯 Team & Company Context

🏢 Company Culture

Industry: Calix operates in the telecommunications industry, focusing on cloud-based solutions for service providers to deliver a differentiated subscriber experience around the Smart Home and Business.

Company Size: Calix is a mid-sized company with a global presence, employing around 1,500 people. This size allows for a balance between a structured environment and the agility to innovate.

Founded: Calix was founded in 1999 and has since grown to become a leading provider of cloud and software platforms for the global broadband industry.

Team Structure:

The Calix Cloud team consists of multiple engineering teams working on various products and services.
The ideal candidate will collaborate with these teams to deliver scalable, reliable, and secure data solutions.
The role reports directly to the Senior Director of Cloud Engineering.

Development Methodology:

Calix follows Agile development methodologies, with a focus on iterative development, continuous integration, and collaboration.
The company uses modern DevSecOps practices to ensure software quality, security, and efficiency.

Company Website: Calix website

📝 Enhancement Note: Calix's company culture emphasizes innovation, collaboration, and a customer-centric approach. The company values diversity, inclusion, and work-life balance.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a senior-level position, requiring a high degree of technical expertise, leadership, and experience in cloud data pipeline development and data engineering.

Reporting Structure: The candidate will report directly to the Senior Director of Cloud Engineering and will be responsible for leading and mentoring multiple engineering teams.

Technical Impact: The candidate will play a significant role in shaping Calix's cloud data pipeline architecture, ensuring data quality, consistency, security, and compliance. Their work will directly impact the company's suite of cloud products and services.

Growth Opportunities:

Technical Growth: The candidate can expand their expertise in cloud data engineering, big data technologies, and data governance.
Leadership Growth: The role offers opportunities to develop leadership skills by mentoring team members, driving projects, and collaborating with stakeholders.
Career Progression: With experience and proven success, the candidate may advance to a Director or Vice President role within the organization.

📝 Enhancement Note: Calix offers a dynamic work environment that encourages professional growth and development. The company values internal promotions and provides opportunities for employees to advance their careers within the organization.

🌐 Work Environment

Office Type: Calix's Bangalore office is a modern, collaborative workspace designed to facilitate innovation and teamwork.

Office Location(s): Bangalore, India

Workspace Context:

The office provides multiple workspaces, including dedicated team areas, quiet spaces, and collaboration zones.
Employees have access to state-of-the-art technology, including multiple monitors and testing devices.
The office encourages cross-functional collaboration between developers, designers, and other teams.

Work Schedule: The role follows a standard full-time work schedule, with occasional flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: Calix's work environment fosters a culture of collaboration, innovation, and continuous learning. The company encourages employees to take ownership of their projects and contribute to the organization's success.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss the candidate's background, experience, and motivation for the role.
Technical Deep Dive: A detailed technical conversation focused on the candidate's experience with cloud data pipelines, big data engineering, and data governance.
Architecture Discussion: A discussion on the candidate's approach to architecture design, scalability, and performance optimization for cloud data pipelines.
Final Interview: A conversation with the hiring manager and other stakeholders to assess the candidate's cultural fit, leadership skills, and problem-solving abilities.

Portfolio Review Tips:

Highlight projects that demonstrate the candidate's expertise in cloud data pipeline development, big data engineering, and data governance.
Showcase the candidate's ability to lead teams, mentor team members, and drive projects to successful completion.
Emphasize the candidate's problem-solving skills and their ability to optimize data pipelines for performance and scalability.

Technical Challenge Preparation:

Brush up on cloud data pipeline concepts, big data engineering frameworks, and data governance principles.
Prepare for architecture design and optimization questions, focusing on scalability, performance, and cost-efficiency.
Familiarize oneself with Calix's products, services, and company culture to demonstrate a strong fit for the role.

ATS Keywords:

Programming Languages: Python, Java, Scala, Spark, Flink
Cloud Platforms: GCP, AWS, Azure
Big Data Technologies: Kafka, Spark, Flink, Hadoop, Hive, Pig, Impala, Presto
Data Storage & Processing: BigQuery, Datastream, DataProc, Composer, Parquet, ORC, Avro
Data Governance & Privacy: GDPR, CCPA, Data Catalog, Data Lineage, Data Quality, Data Consistency
DevOps & Agile: Agile, Scrum, Kanban, CI/CD, DevSecOps, Infrastructure as Code (IaC)
Soft Skills: Technical Leadership, Mentoring, Problem-Solving, Collaboration, Communication

📝 Enhancement Note: Calix's interview process focuses on assessing the candidate's technical expertise, leadership skills, and cultural fit. The company values candidates who can think critically, solve problems, and collaborate effectively with global teams.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

GCP (Google Cloud Platform) – The primary cloud platform for Calix's data pipeline infrastructure.
AWS (Amazon Web Services) – Used for specific services and integrations as needed.
Azure – Used for specific services and integrations as needed.

Big Data Technologies:

Kafka – Used for real-time data streaming and event-based data processing.
Spark – Used for batch and streaming data processing, machine learning, and graph computation.
Flink – Used for real-time data processing, complex event processing, and stream processing.
Hadoop – Used for distributed storage and processing of large datasets.
Hive, Pig, Impala, Presto – Used for querying and processing data stored in Hadoop.

Data Storage & Processing:

BigQuery – Used for cloud-based data warehousing, business intelligence, and analytics.
Datastream – Used for real-time data ingestion and transformation from various sources.
DataProc – Used for cloud-based Hadoop and Spark processing.
Composer – Used for creating, deploying, and managing Apache Airflow pipelines.

Data Governance & Privacy:

Data Catalog – Used for data discovery, metadata management, and data governance.
Data Lineage – Used to track data movement, transformations, and dependencies throughout the data pipeline.
Data Quality – Used to ensure data accuracy, consistency, and completeness.
Data Consistency – Used to maintain data consistency across multiple systems and platforms.

DevOps & Agile:

Agile – Used for iterative development, continuous integration, and collaboration.
Scrum, Kanban – Used for project management and task tracking.
CI/CD – Used for automated testing, building, and deployment of software.
DevSecOps – Used for integrating security into the software development lifecycle.
Infrastructure as Code (IaC) – Used for automated provisioning, configuration, and management of infrastructure.

📝 Enhancement Note: Calix's technology stack is designed to support the development, deployment, and management of scalable, reliable, and secure cloud data pipelines. The company values expertise in cloud platforms, big data technologies, and data governance.

👥 Team Culture & Values

Web Development Values:

Innovation: Calix values innovation and encourages employees to think creatively and challenge the status quo.
Customer Focus: The company prioritizes customer needs and strives to deliver exceptional user experiences.
Collaboration: Calix fosters a culture of collaboration, encouraging teamwork, and knowledge sharing.
Quality: The company is committed to delivering high-quality software solutions that meet or exceed customer expectations.

Collaboration Style:

Cross-Functional Integration: Calix encourages collaboration between developers, designers, and other teams to ensure a cohesive and consistent user experience.
Code Review Culture: The company values code reviews as a means of knowledge sharing, quality assurance, and continuous learning.
Peer Programming: Calix encourages pair programming and other collaborative development practices to improve code quality and efficiency.

📝 Enhancement Note: Calix's team culture emphasizes innovation, collaboration, and a customer-centric approach. The company values diversity, inclusion, and work-life balance.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Design and optimize cloud data pipelines to handle increasing data volumes and user loads.
Performance Optimization: Continuously monitor and optimize data pipelines for efficiency, cost-effectiveness, and scalability.
Data Governance: Ensure data quality, consistency, security, and compliance throughout the data pipeline.
Emerging Technologies: Stay up-to-date with the latest big data technologies, cloud platforms, and data governance principles to drive continuous improvement.

Learning & Development Opportunities:

Technical Skill Development: Expand expertise in cloud data engineering, big data technologies, and data governance.
Conference Attendance: Attend industry conferences, workshops, and training sessions to stay current with the latest trends and best practices.
Mentorship & Leadership: Develop leadership skills by mentoring team members, driving projects, and collaborating with stakeholders.

📝 Enhancement Note: Calix offers a dynamic work environment that encourages continuous learning, innovation, and professional growth. The company values employees who are proactive, curious, and committed to driving success.

💡 Interview Preparation

Technical Questions:

Cloud Data Pipeline Design: Discuss the architecture design, scalability, and performance optimization of cloud data pipelines.
Big Data Engineering: Explain the data ingestion, transformation, and storage processes for big data engineering projects.
Data Governance & Privacy: Describe the data governance, data privacy, and data compliance processes for cloud data pipelines.
Problem-Solving: Solve technical problems related to cloud data pipeline development, big data engineering, and data governance.

Company & Culture Questions:

Calix Products & Services: Demonstrate a strong understanding of Calix's products, services, and company culture.
Agile Methodologies: Explain your experience with Agile development methodologies, such as Scrum or Kanban.
Customer Focus: Describe your approach to understanding customer needs and delivering exceptional user experiences.

Portfolio Presentation Strategy:

Cloud Data Pipeline Projects: Highlight projects that demonstrate your expertise in cloud data pipeline development, big data engineering, and data governance.
Technical Leadership: Showcase your ability to lead teams, mentor team members, and drive projects to successful completion.
Problem-Solving: Emphasize your problem-solving skills and your ability to optimize data pipelines for performance and scalability.

📝 Enhancement Note: Calix's interview process focuses on assessing the candidate's technical expertise, leadership skills, and cultural fit. The company values candidates who can think critically, solve problems, and collaborate effectively with global teams.

📌 Application Steps

To apply for the Staff Software Engineer – Cloud Data Pipeline position at Calix:

Submit Your Application: Visit the Calix careers page and submit your application through the job posting.
Tailor Your Resume: Highlight your experience in cloud data pipeline development, big data engineering, and data governance. Emphasize your technical leadership skills and problem-solving abilities.
Prepare Your Portfolio: Showcase your projects that demonstrate your expertise in cloud data pipeline development, big data engineering, and data governance. Highlight your ability to lead teams, mentor team members, and drive projects to successful completion.
Research Calix: Familiarize yourself with Calix's products, services, and company culture. Prepare thoughtful questions to ask during the interview process.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Staff Software Engineer – Cloud Data Pipeline