📍 Job Overview

Job Title: Site Reliability Engineer II
Company: Zuora
Location: Chennai, Tamil Nadu, India
Job Type: On-site
Category: DevOps Engineer
Date Posted: June 18, 2025
Experience Level: Mid-level (3-5 years)
Remote Status: On-site

🚀 Role Summary

Maintain and enhance the reliability, scalability, and performance of Zuora's Saaas platform through proactive service monitoring, incident response, and infrastructure management.
Collaborate cross-functionally with various teams to ensure a seamless and customer-centric service delivery model.
Drive operational excellence through automation, observability, and continuous improvement.

📝 Enhancement Note: This role requires a strong focus on Linux administration, Python programming, and containerization using Docker and Kubernetes. Familiarity with AI/ML techniques in operations is a plus.

💻 Primary Responsibilities

Proactive Service Monitoring: Implement intelligent automation workflows for infrastructure lifecycle management, including self-healing systems, automated incident remediation, and configuration anomaly detection using Infrastructure as Code (IaC) and AI-driven tooling.
Predictive Monitoring: Leverage predictive monitoring and anomaly detection techniques powered by AI/ML to proactively assess system health, optimize performance, and preempt service degradation or outages.
Incident Response: Lead complex incident response efforts, applying deep root cause analysis (RCA) and postmortem practices to drive long-term stability, while integrating automated detection and remediation capabilities.
CI/CD Pipeline Management: Partner with development and platform engineering teams to build resilient CI/CD pipelines, enforce infrastructure standards, and embed observability and reliability into application deployments.
Performance Tuning: Identify and eliminate reliability bottlenecks through automated performance tuning, dynamic scaling policies, and advanced telemetry instrumentation.
Runbook Maintenance: Maintain and continuously evolve operational runbooks by incorporating machine learning insights, updating playbooks with AI-suggested resolutions, and identifying automation opportunities for manual steps.
Strategic Influence: Stay abreast of emerging trends in AI for IT operations (AIOps), distributed systems, and cloud-native technologies to influence strategic reliability engineering decisions and tool adoption.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications are a plus.

Experience: 3-5 years of experience in a similar role, with a strong focus on Linux administration, Python programming, and containerization using Docker and Kubernetes. Experience working in a SaaS environment is required.

Required Skills:

Linux Servers Administration
Python Programming
Docker and Kubernetes
Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible)
AI/ML techniques in operations
Incident management and root cause analysis
CI/CD pipeline development and maintenance
Monitoring and observability tools (e.g., Prometheus, Grafana, OpenTelemetry)

Preferred Skills:

AWS Certification
Red Hat Certified System Administrator (RHCSA)
Certified Associate in Python Programming (PCAP)
Docker Certified Associate (DCA) or Certified Kubernetes Administrator (CKA)
Good knowledge of Jenkins
Advanced certifications in SRE or related fields

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your proficiency in Linux administration, Python programming, and containerization using Docker and Kubernetes through relevant projects.
Showcase your experience with AI/ML techniques in operations, incident management, and CI/CD pipeline development.
Highlight your ability to maintain and evolve operational runbooks, incorporating machine learning insights and automation opportunities.

Technical Documentation:

Provide detailed documentation for your projects, including code quality, commenting, and documentation standards.
Explain your version control, deployment processes, and server configuration strategies.
Describe your testing methodologies, performance metrics, and optimization techniques.

📝 Enhancement Note: Zuora values candidates who can demonstrate their problem-solving skills, attention to detail, and ability to work collaboratively with cross-functional teams.

💵 Compensation & Benefits

Salary Range: INR 1,200,000 - 1,800,000 per annum (Based on experience and market standards for mid-level DevOps engineers in Chennai)

Benefits:

Medical insurance
Competitive compensation and corporate bonus program
Performance rewards and retirement programs
Generous, flexible time off
Paid holidays, wellness days, and company-wide end-of-year break
6 months of fully paid parental leave
Learning & development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for mental wellbeing

Working Hours: 40 hours per week, with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The salary range provided is based on market research for mid-level DevOps engineers in Chennai, India. Actual compensation may vary based on individual qualifications and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Zuora operates in the subscription economy, focusing on modern business and recurring relationships.

Company Size: Zuora has over 1,000 employees worldwide, providing a medium-sized company culture with opportunities for growth and impact.

Founded: Zuora was founded in 2007, with a history of innovation and leadership in the subscription economy.

Team Structure:

The Operations team works cross-functionally with Product Engineering & Management, Customer Support, Deal Desk, Global Services, and Sales teams to ensure a seamless and customer-centric service delivery model.
The team is dedicated to operational excellence through automation, observability, and continuous improvement.

Development Methodology:

Zuora follows Agile methodologies, with a focus on iterative development, continuous integration, and collaboration.
The company emphasizes code review, testing, and quality assurance practices to ensure high-quality software delivery.
Zuora uses CI/CD pipelines, automated deployment, and server management to maintain a reliable and performant infrastructure.

Company Website: www.zuora.com

📝 Enhancement Note: Zuora's culture values innovation, collaboration, and a customer-centric approach. The company encourages employees to think differently, iterate often, and learn constantly.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level (3-5 years of experience) Site Reliability Engineer II role, focusing on maintaining and enhancing the reliability, scalability, and performance of Zuora's SaaS platform.

Reporting Structure: This role reports directly to the Manager of Site Reliability Engineering, with opportunities for cross-functional collaboration with various teams within the company.

Technical Impact: The Site Reliability Engineer II role has a significant impact on Zuora's platform performance, user experience, and overall business success. The role requires a deep understanding of Linux administration, Python programming, and containerization using Docker and Kubernetes, as well as experience with AI/ML techniques in operations.

Growth Opportunities:

Technical Growth: Zuora encourages continuous learning and skill development. Employees have the opportunity to specialize in emerging technologies, deepen their expertise in existing technologies, and contribute to open-source projects.
Leadership Development: As Zuora continues to grow, there are opportunities for employees to take on leadership roles, mentoring junior team members, and driving strategic reliability engineering decisions.
Architecture Decision-Making: With experience and proven expertise, Site Reliability Engineers at Zuora can influence architectural decisions, driving the company's technical direction and ensuring the reliability and scalability of its platform.

📝 Enhancement Note: Zuora's growth opportunities are tailored to each employee's unique skills, interests, and career goals. The company encourages employees to take ownership of their professional development and provides the resources and support needed to succeed.

🌐 Work Environment

Office Type: Zuora's Chennai office is a collaborative workspace designed to foster innovation, creativity, and teamwork. The company provides a comfortable and well-equipped environment for its employees to thrive.

Office Location(s): Chennai, Tamil Nadu, India

Workspace Context:

Zuora provides multiple monitors, testing devices, and development tools to ensure a productive work environment for its engineers.
The company encourages cross-functional collaboration and knowledge sharing, with regular team meetings, code reviews, and pair programming sessions.
Zuora's office layout is designed to facilitate communication and interaction between team members, promoting a culture of open dialogue and continuous learning.

Work Schedule: Zuora offers a flexible work schedule, with core hours between 10:00 AM and 4:00 PM IST. Employees have the autonomy to manage their time effectively, with regular check-ins to ensure project deadlines are met and team goals are achieved.

📝 Enhancement Note: Zuora's work environment is designed to support the well-being and productivity of its employees. The company provides resources and support for mental health, including free resources and counseling services.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: A technical assessment focusing on Linux administration, Python programming, and containerization using Docker and Kubernetes.
Technical Deep Dive: A detailed discussion of your technical skills, experience, and problem-solving approach, with a focus on AI/ML techniques in operations, incident management, and CI/CD pipeline development.
Behavioral Interview: An in-depth conversation about your career goals, team fit, and cultural alignment with Zuora's values and mission.
Final Review: A meeting with the hiring manager to discuss your fit for the role and answer any remaining questions.

Portfolio Review Tips:

Highlight your proficiency in Linux administration, Python programming, and containerization using Docker and Kubernetes through relevant projects.
Showcase your experience with AI/ML techniques in operations, incident management, and CI/CD pipeline development.
Demonstrate your ability to maintain and evolve operational runbooks, incorporating machine learning insights and automation opportunities.
Prepare a live demo of your projects, showcasing your technical skills and problem-solving approach.

Technical Challenge Preparation:

Brush up on your Linux administration, Python programming, and containerization skills, focusing on AI/ML techniques in operations, incident management, and CI/CD pipeline development.
Familiarize yourself with Zuora's tech stack, including Linux, Python, Docker, Kubernetes, MySQL, Kafka, ActiveMQ, Oracle, Load Balancers, REDIS Cache, AWS, Jenkins, Terraform, Ansible, Prometheus, Grafana, and OpenTelemetry.
Practice problem-solving exercises and coding challenges to demonstrate your technical skills and problem-solving approach.

ATS Keywords:

Programming Languages: Python, Bash, Shell Scripting
Web Frameworks: Flask, Django, FastAPI
Server Technologies: Linux, Kubernetes, Docker, AWS
Databases: MySQL, Oracle, Redis
Tools: Jenkins, Terraform, Ansible, Prometheus, Grafana, OpenTelemetry
Methodologies: Agile, Scrum, CI/CD, Infrastructure as Code (IaC)
Soft Skills: Problem-solving, incident management, root cause analysis, teamwork, collaboration
Industry Terms: Site Reliability Engineering, DevOps, AI/ML in operations, AIOps, distributed systems, cloud-native technologies

📝 Enhancement Note: Zuora's interview process is designed to assess your technical skills, problem-solving approach, and cultural fit. The company values candidates who can demonstrate their ability to work collaboratively with cross-functional teams and drive operational excellence through automation, observability, and continuous improvement.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)

Backend & Server Technologies:

Linux Administration: Red Hat Enterprise Linux, Ubuntu, CentOS
Python Programming: Python 3.7+, with a focus on web frameworks such as Flask, Django, and FastAPI
Containerization: Docker, Kubernetes, with experience in container orchestration and service management
Infrastructure as Code (IaC): Terraform, Ansible, with a focus on automated infrastructure provisioning and configuration management
Databases: MySQL, Oracle, Redis, with experience in database management, optimization, and scaling
Messaging Systems: Kafka, ActiveMQ, with experience in message queuing, event-driven architectures, and stream processing
Cloud Platforms: AWS, with experience in cloud-native architectures, serverless computing, and managed services
Monitoring & Logging: Prometheus, Grafana, OpenTelemetry, with experience in monitoring, alerting, and log aggregation

Development & DevOps Tools:

CI/CD Pipelines: Jenkins, GitLab CI/CD, with experience in automated testing, deployment, and infrastructure as code (IaC)
Version Control: Git, GitLab, with experience in collaborative development, code reviews, and pull requests
Configuration Management: Ansible, Puppet, with experience in automated configuration management, compliance, and policy enforcement
Infrastructure Automation: Terraform, Ansible, with experience in automated infrastructure provisioning, scaling, and management
Container Orchestration: Kubernetes, Docker Swarm, with experience in service discovery, load balancing, and cluster management
Service Mesh: Istio, Linkerd, with experience in traffic management, observability, and security for microservices architectures

📝 Enhancement Note: Zuora's technology stack is designed to support the company's mission to provide a reliable, scalable, and performant SaaS platform. The company encourages continuous learning and adoption of emerging technologies to drive operational excellence and innovation.

👥 Team Culture & Values

Web Development Values:

Customer-centric: Zuora prioritizes customer success and satisfaction, ensuring that its platform meets the needs of its users and drives business growth.
Innovation: Zuora encourages employees to think differently, iterate often, and learn constantly, fostering a culture of continuous improvement and innovation.
Collaboration: Zuora values open communication, teamwork, and knowledge sharing, promoting a culture of collective ownership and collective success.
Quality: Zuora is committed to delivering high-quality software and services, with a focus on reliability, performance, and scalability.

Collaboration Style:

Cross-functional Integration: Zuora's teams work closely together, with regular communication, code reviews, and pair programming sessions to ensure a seamless and customer-centric service delivery model.
Code Review Culture: Zuora emphasizes code quality, testing, and quality assurance practices to ensure high-quality software delivery. The company encourages peer reviews, knowledge sharing, and continuous learning.
Knowledge Sharing: Zuora fosters a culture of continuous learning and skill development, with regular training sessions, workshops, and brown bag presentations to help employees stay up-to-date with the latest technologies and best practices.

📝 Enhancement Note: Zuora's team culture is designed to support the company's mission to provide a reliable, scalable, and performant SaaS platform. The company encourages collaboration, innovation, and continuous learning to drive operational excellence and business success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI/ML in Operations: Leverage predictive monitoring and anomaly detection techniques powered by AI/ML to proactively assess system health, optimize performance, and preempt service degradation or outages.
Incident Response: Lead complex incident response efforts, applying deep root cause analysis (RCA) and postmortem practices to drive long-term stability, while integrating automated detection and remediation capabilities.
Performance Tuning: Identify and eliminate reliability bottlenecks through automated performance tuning, dynamic scaling policies, and advanced telemetry instrumentation.
Emerging Technologies: Stay abreast of emerging trends in AI for IT operations (AIOps), distributed systems, and cloud-native technologies to influence strategic reliability engineering decisions and tool adoption.

Learning & Development Opportunities:

Technical Skill Development: Zuora encourages continuous learning and skill development, with regular training sessions, workshops, and brown bag presentations to help employees stay up-to-date with the latest technologies and best practices.
Leadership Development: As Zuora continues to grow, there are opportunities for employees to take on leadership roles, mentoring junior team members, and driving strategic reliability engineering decisions.
Architecture Decision-Making: With experience and proven expertise, Site Reliability Engineers at Zuora can influence architectural decisions, driving the company's technical direction and ensuring the reliability and scalability of its platform.

📝 Enhancement Note: Zuora's technical challenges and growth opportunities are tailored to each employee's unique skills, interests, and career goals. The company encourages employees to take ownership of their professional development and provides the resources and support needed to succeed.

💡 Interview Preparation

Technical Questions:

Linux Administration: Describe your experience with Linux administration, including system configuration, user management, and security best practices.
Python Programming: Explain your proficiency in Python programming, with a focus on web frameworks, data manipulation, and automation.
Containerization: Discuss your experience with containerization using Docker and Kubernetes, including service management, orchestration, and deployment strategies.
AI/ML in Operations: Describe your experience with AI/ML techniques in operations, including predictive monitoring, anomaly detection, and automated incident remediation.
Incident Management: Explain your approach to incident management, root cause analysis, and postmortem practices, with a focus on driving long-term stability and automated detection and remediation capabilities.
CI/CD Pipeline Development: Discuss your experience with CI/CD pipeline development, including automated testing, deployment, and infrastructure as code (IaC) strategies.

Company & Culture Questions:

Zuora's Mission: Explain how your skills and experience align with Zuora's mission to provide a reliable, scalable, and performant SaaS platform for its customers.
Team Fit: Describe your approach to teamwork, collaboration, and knowledge sharing, with a focus on driving operational excellence and customer success.
Customer-centric Focus: Explain how you prioritize customer success and satisfaction in your work, with a focus on delivering high-quality software and services.

Portfolio Presentation Strategy:

Live Demo: Prepare a live demo of your projects, showcasing your technical skills, problem-solving approach, and ability to maintain and evolve operational runbooks.
Code Walkthrough: Provide a detailed walkthrough of your code, explaining your design decisions, architecture choices, and optimization strategies.
User Experience: Demonstrate your ability to understand and address user needs, with a focus on delivering intuitive, accessible, and performant software solutions.

📝 Enhancement Note: Zuora's interview process is designed to assess your technical skills, problem-solving approach, and cultural fit. The company values candidates who can demonstrate their ability to work collaboratively with cross-functional teams and drive operational excellence through automation, observability, and continuous improvement.

📌 Application Steps

To apply for this Site Reliability Engineer II position at Zuora:

Update Your Resume: Highlight your relevant experience with Linux administration, Python programming, and containerization using Docker and Kubernetes. Emphasize your experience with AI/ML techniques in operations, incident management, and CI/CD pipeline development.
Tailor Your Portfolio: Showcase your proficiency in Linux administration, Python programming, and containerization using Docker and Kubernetes through relevant projects. Demonstrate your experience with AI/ML techniques in operations, incident management, and CI/CD pipeline development.
Prepare for Technical Interviews: Brush up on your Linux administration, Python programming, and containerization skills, focusing on AI/ML techniques in operations, incident management, and CI/CD pipeline development. Familiarize yourself with Zuora's tech stack, including Linux, Python, Docker, Kubernetes, MySQL, Kafka, ActiveMQ, Oracle, Load Balancers, REDIS Cache, AWS, Jenkins, Terraform, Ansible, Prometheus, Grafana, and OpenTelemetry.
Research Zuora: Learn about Zuora's mission, values, and culture, with a focus on delivering a reliable, scalable, and performant SaaS platform for its customers. Understand the company's approach to teamwork, collaboration, and knowledge sharing, with a focus on driving operational excellence and customer success.

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

Site Reliability Engineer II