📍 Job Overview

Job Title: Lead Site Reliability Engineer
Company: Weekday AI
Location: Chennai, Tamil Nadu, India
Job Type: On-site, Full-time
Category: DevOps, Infrastructure
Date Posted: June 19, 2025
Experience Level: 10+ years
Remote Status: On-site

🚀 Role Summary

Key Responsibilities: Ensure the reliability, performance, and availability of our product's core services by automating infrastructure tasks, monitoring system health, and responding to incidents.
Key Skills: Proficiency in scripting languages (Python, Bash), experience with cloud platforms (AWS), containerization technologies (Docker, Kubernetes), monitoring tools (Prometheus, Grafana, Splunk), and automation tools (Terraform, Ansible, Chef, Puppet).

💻 Primary Responsibilities

🔄 System Reliability & Availability

Monitoring & Alerting: Set up and maintain monitoring systems to track performance metrics, detect anomalies, and trigger alerts for quick issue resolution.
Incident Response: Investigate and resolve incidents, perform root cause analysis, and conduct post-incident reviews to prevent recurrence.
Capacity Planning: Analyze usage patterns, predict future demand, and ensure infrastructure can scale to meet needs by collaborating with product and engineering teams.

🤖 Automation & Efficiency

Automation: Develop and implement automated solutions for routine tasks, such as deployment, monitoring, and incident response, to improve operational efficiency.
Performance Tuning: Identify and resolve performance bottlenecks in applications and infrastructure to optimize system performance.

📈 Service Level Objectives & Agreements

SLOs & SLAs: Collaborate with product and engineering teams to define, track, and ensure service level objectives and agreements are met.

🌐 Cross-functional Collaboration

Teamwork: Work closely with development, operations, and other teams to ensure smooth software delivery and infrastructure management.
Change Management: Participate in change management processes to minimize disruption during deployments and upgrades.

🛠 Problem Identification & Resolution

Identify & Resolve Issues: Proactively identify and resolve issues related to system availability, performance, latency, and efficiency.
Code Contribution: Contribute to the development and maintenance of tools and infrastructure that support the reliability of the product.
Resiliency Design: Design and implement resilient systems that can withstand failures and continue to operate under load.

🎓 Skills & Qualifications

🎓 Education & Experience

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.
Experience: 10+ years of experience in site reliability engineering, DevOps, or a similar role.

🛠 Required Skills

Scripting Languages: Proficiency in Python, Bash, or other scripting languages.
Programming Languages: Experience with at least one general-purpose language, such as Go or Java.
Cloud Platforms: Experience with various cloud platforms, with a focus on AWS.
Containerization: Experience with containerization technologies, such as Docker and Kubernetes.
Monitoring Tools: Experience with monitoring tools (Prometheus, Grafana, Splunk) and logging systems.
Automation Tools: Experience with automation tools (Terraform, Ansible, Chef, Puppet).
Incident Response: Experience with incident response, root cause analysis, and post-incident reviews.
Analytical Skills: Strong analytical and problem-solving skills.
Communication Skills: Excellent communication and collaboration skills.

🌟 Preferred Skills

Certifications: Certifications in relevant technologies, such as AWS Certified Solutions Architect, Certified Kubernetes Administrator, or similar.
Industry Knowledge: Experience in the tech industry, with a focus on AI and machine learning.
Leadership: Proven leadership skills and experience managing teams.

📊 Web Portfolio & Project Requirements

📋 Portfolio Essentials

Incident Response Case Studies: Document and present real-life incident response cases, highlighting your problem-solving skills and the steps taken to resolve issues.
Automation Projects: Showcase automated solutions you've developed for routine tasks, demonstrating your scripting and automation skills.
Performance Tuning Examples: Provide examples of performance tuning projects, illustrating your ability to identify and resolve performance bottlenecks.
Capacity Planning Demonstrations: Present capacity planning projects, showcasing your ability to analyze usage patterns and ensure infrastructure can scale to meet demand.

📚 Technical Documentation

Code Quality & Documentation: Demonstrate your commitment to code quality and documentation standards in your portfolio projects.
Version Control & Deployment Processes: Highlight your experience with version control systems (Git) and deployment processes, including CI/CD pipelines.
Testing & Optimization Techniques: Showcase your experience with testing methodologies, performance metrics, and optimization techniques.

💵 Compensation & Benefits

💰 Salary Range

Estimated Salary Range: The estimated salary range for this role is INR 35-45 LPA (Lakh Per Annum), based on industry standards for a Lead Site Reliability Engineer with 10+ years of experience in Chennai, Tamil Nadu, India.

🎁 Benefits

Health Insurance: Comprehensive health insurance coverage for employees and their dependents.
Retirement Plans: Retirement plans, including provident fund and pension schemes.
Leave Policies: Generous leave policies, including sick leave, casual leave, and paid time off.
Professional Development: Opportunities for professional development, including training, workshops, and conference attendance.

🕒 Working Hours

Standard Hours: The standard workweek is Monday through Friday, 9:00 AM to 6:00 PM, with a one-hour lunch break.
Flexible Hours: Flexible working hours may be available, depending on team and project requirements.
On-call Rotation: On-call rotation may be required to ensure 24/7 system availability and incident response.

🎯 Team & Company Context

🏢 Company Culture

🌐 Industry & Market

Industry: Weekday AI operates in the artificial intelligence and machine learning industry, focusing on developing cutting-edge AI solutions for various applications.
Company Size: Weekday AI is a mid-sized company with a growing team of AI specialists, providing ample opportunities for collaboration and professional growth.

📅 Company History & Timeline

Founded: Weekday AI was founded in 2020, with a mission to revolutionize AI technology and make it accessible to businesses and consumers alike.
Growth & Expansion: The company has experienced significant growth and expansion since its inception, with a strong focus on innovation and continuous learning.

🌐 Team Structure & Dynamics

Team Size: The Weekday AI team consists of approximately 100 employees, with a diverse range of skills and expertise.
Specialization Areas: The team is divided into several specialization areas, including AI research, data science, software engineering, and infrastructure management.
Reporting Structure: The company follows a flat organizational structure, with a focus on cross-functional collaboration and open communication.
Cross-functional Collaboration: The team works closely together, with regular meetings and workshops to ensure alignment and collaboration across different departments.

🔄 Development Methodology

Agile/Scrum: Weekday AI follows Agile/Scrum methodologies for software development, with a focus on iterative development, continuous improvement, and customer satisfaction.
Code Review & Quality Assurance: The company places a strong emphasis on code review, testing, and quality assurance, with a dedicated QA team to ensure the reliability and performance of its products.
Deployment Strategies: Weekday AI employs continuous integration and continuous deployment (CI/CD) strategies to automate the software delivery process and ensure rapid, reliable releases.

📈 Career & Growth Analysis

🌱 Web Technology Career Level

Lead Site Reliability Engineer: This role is a senior-level position, responsible for leading the site reliability engineering team and ensuring the reliability, performance, and availability of the company's core services.
Responsibility Scope: The Lead Site Reliability Engineer is responsible for defining and implementing site reliability engineering processes, mentoring team members, and collaborating with other departments to ensure system-wide reliability and performance.

🌐 Reporting Structure & Technical Impact

Reporting Relationships: The Lead Site Reliability Engineer reports directly to the Director of Engineering and works closely with the software engineering, data science, and AI research teams.
Technical Influence: This role has a significant impact on the technical direction of the company, as it is responsible for ensuring the reliability and performance of the core services that power Weekday AI's products.

🌱 Growth Opportunities

Technical Leadership: The Lead Site Reliability Engineer role provides ample opportunities for technical leadership, with the potential to mentor team members, define best practices, and drive innovation in site reliability engineering.
Architecture Decisions: As a senior-level role, the Lead Site Reliability Engineer is involved in making critical architecture decisions that impact the company's products and services.
Career Progression: The Lead Site Reliability Engineer role is a critical step in the career progression of a site reliability engineer, with the potential to advance to a director or C-level position in the future.

🌐 Work Environment

🏢 Office Type & Location(s)

Office Type: Weekday AI's office is a modern, collaborative workspace designed to foster creativity and innovation.
Office Location(s): The company's headquarters is located in Chennai, Tamil Nadu, India, with additional offices in other major cities.

🌐 Workspace Context

Collaborative Environment: The Weekday AI office features open-plan workspaces, designed to encourage collaboration and communication between team members.
Development Tools & Resources: The office is equipped with state-of-the-art development tools and resources, including multiple monitors, testing devices, and high-speed internet access.
Cross-functional Collaboration: The office layout facilitates cross-functional collaboration, with dedicated spaces for meetings, workshops, and brainstorming sessions.

🕒 Work Schedule & Flexibility

Standard Workweek: The standard workweek is Monday through Friday, with flexible hours to accommodate individual work preferences and project requirements.
Deployment Windows & Maintenance: The work schedule may include deployment windows and maintenance periods to ensure the reliability and performance of the company's products and services.

📄 Application & Technical Interview Process

🔑 Interview Process

Online Assessment: Candidates will be required to complete an online assessment to evaluate their technical skills and problem-solving abilities.
Technical Phone Screen: A technical phone screen will be conducted to discuss the candidate's experience, qualifications, and fit for the role.
On-site Interview: Successful candidates will be invited to the Weekday AI office for an on-site interview, consisting of a series of technical and behavioral interviews with members of the engineering and site reliability engineering teams.
Final Evaluation: The final evaluation will focus on the candidate's technical skills, cultural fit, and potential for growth within the organization.

📋 Portfolio Review Tips

Case Study Structure: Present your portfolio projects using a structured case study format, highlighting the problem statement, approach, implementation, and results.
User Experience & Technical Implementation: Focus on the user experience and technical implementation aspects of your projects, demonstrating your ability to balance functionality and performance.
Code Quality & Documentation: Ensure your code is well-documented and follows best practices, demonstrating your commitment to code quality and maintainability.

💻 Technical Challenge Preparation

Typical Exercise Format: Familiarize yourself with typical site reliability engineering exercises, focusing on system design, performance optimization, and incident response.
Time Management & Solution Architecture: Practice time management and solution architecture skills, demonstrating your ability to approach complex problems systematically and efficiently.
Communication & Explanation: Hone your communication and explanation skills, ensuring you can articulate complex technical concepts clearly and concisely.

🔑 ATS Keywords

Programming Languages:

Python
Bash
Go
Java

Cloud Platforms:

Containerization:

Docker
Kubernetes

Monitoring Tools:

Prometheus
Grafana
Splunk

Automation Tools:

Terraform
Ansible
Chef
Puppet

Soft Skills:

Problem-solving
Analytical skills
Communication skills
Collaboration skills
Leadership skills

Industry Terms:

Site Reliability Engineering
DevOps
Infrastructure Management
Cloud Computing
Containerization
Monitoring & Alerting
Incident Response
Capacity Planning
Automation
Performance Tuning
Service Level Objectives (SLOs)
Service Level Agreements (SLAs)

🛠 Technology Stack & Web Infrastructure

🛠 Frontend Technologies

User Interface Libraries: Weekday AI uses modern user interface libraries, such as React and Angular, to build intuitive and responsive web applications.
Responsive Design & Mobile-first Development: The company follows responsive design principles and mobile-first development approaches to ensure optimal user experiences across various devices and screen sizes.
Performance Optimization & Accessibility: Weekday AI prioritizes performance optimization and accessibility, ensuring its web applications are fast, secure, and accessible to all users.

🛢 Backend & Server Technologies

Server-side Development: Weekday AI employs various server-side development languages and frameworks, such as Node.js (Express), Python (Flask, Django), and Java (Spring Boot), to build scalable and efficient backend services.
Database Integration: The company uses both relational and NoSQL databases, such as PostgreSQL, MongoDB, and Redis, to store and manage data effectively.
Infrastructure Tools: Weekday AI leverages infrastructure tools, such as Terraform and Ansible, to automate deployment, configuration, and management of its cloud-based infrastructure.

🛠 Development & DevOps Tools

Version Control: Weekday AI uses Git for version control, enabling collaborative development, code reviews, and efficient release management.
CI/CD Pipelines: The company employs CI/CD pipelines, such as Jenkins and GitLab CI/CD, to automate the software delivery process and ensure rapid, reliable releases.
Monitoring Tools: Weekday AI uses monitoring tools, such as Prometheus and Grafana, to track system health, performance, and user experience.

👥 Team Culture & Values

🌱 Web Development Values

User Experience: Weekday AI prioritizes user experience, ensuring its products are intuitive, accessible, and tailored to the needs of its users.
Performance Optimization: The company focuses on performance optimization, continuously improving the speed, efficiency, and scalability of its products.
Code Quality: Weekday AI emphasizes code quality, with a focus on maintainability, readability, and best practices.
Innovation: The company fosters a culture of innovation, encouraging team members to explore new technologies and approaches to problem-solving.

🤝 Collaboration Style

Cross-functional Integration: Weekday AI encourages cross-functional collaboration between developers, designers, and stakeholders, ensuring alignment and efficiency in product development.
Code Review Culture: The company promotes a code review culture, with a focus on peer programming, knowledge sharing, and continuous learning.
Knowledge Sharing & Mentoring: Weekday AI encourages knowledge sharing and mentoring, with regular workshops, training sessions, and one-on-one mentoring opportunities.

⚡ Challenges & Growth Opportunities

🛠 Technical Challenges

Modern Web Standards & Browser Compatibility: Stay up-to-date with modern web standards and best practices, ensuring your projects are compatible with the latest browsers and devices.
Performance Optimization & Scalability: Develop a deep understanding of performance optimization techniques and scalability considerations, ensuring your projects can handle increased traffic and user demand.
User Experience & Accessibility: Focus on user experience and accessibility, ensuring your projects are intuitive, accessible, and optimized for all users.
Emerging Web Technologies: Stay current with emerging web technologies, continuously expanding your skillset and adapting to new tools and frameworks.

🌱 Learning & Development Opportunities

Web Technology Skill Advancement: Pursue continuous learning and skill development, with a focus on emerging web technologies, frameworks, and best practices.
Conference Attendance & Certification: Attend industry conferences, workshops, and certification programs to expand your knowledge and network with other web technology professionals.
Technical Mentorship & Leadership Development: Seek technical mentorship opportunities and focus on developing your leadership skills, with an eye toward driving innovation and architecture decisions in the future.

💡 Interview Preparation

💡 Technical Questions

Web Development Fundamentals: Brush up on your web development fundamentals, with a focus on HTML, CSS, JavaScript, and responsive design principles.
Web Architecture & Performance: Familiarize yourself with web architecture patterns, performance optimization techniques, and system design best practices.
Problem-solving: Hone your problem-solving skills, with a focus on live coding examples, debugging demonstrations, and algorithmic challenges.

🏢 Company & Culture Questions

Web Development Culture: Research Weekday AI's web development culture, focusing on user experience, performance optimization, and code quality best practices.
Agile Methodologies: Brush up on your Agile methodologies knowledge, with a focus on sprint planning, collaboration, and continuous improvement.
User Experience Impact: Prepare to discuss the user experience impact of your projects, with a focus on project metrics, performance measurement, and user feedback integration.

📊 Portfolio Presentation Strategy

Live Website Demonstration: Prepare a live website demonstration, showcasing your project's functionality, user experience, and technical implementation.
Code Explanation Techniques: Develop clear and concise code explanation techniques, ensuring you can articulate complex technical concepts effectively.
User Experience Showcase: Prepare a user experience showcase, highlighting the user-centered design principles and accessibility considerations in your project.

📌 Application Steps

To apply for this web development/server administration position at Weekday AI:

Submit Your Application: Submit your application through the application link provided.
Customize Your Portfolio: Tailor your portfolio to Weekday AI's web development and site reliability engineering focus, highlighting your live demos, responsive examples, and performance optimization projects.
Optimize Your Resume: Optimize your resume for web technology roles, emphasizing your project highlights, technical skills, and relevant experience.
Prepare for Technical Interviews: Brush up on your technical skills, focusing on coding challenges, portfolio presentation, and company-specific web technology considerations.
Research the Company: Conduct thorough research on Weekday AI, focusing on its web technology focus, user experience understanding, and company-specific web development methodologies.

⚠️ 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.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to web development, server administration, DevOps, and web infrastructure roles
Include web development methodologies, responsive design principles, and server management practices
Emphasize web portfolio requirements, live project demonstrations, and user experience considerations
Address web development team dynamics, cross-functional collaboration with designers and marketers
Focus on web technology career progression, emerging technology adoption, and technical specialization

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information
Only include Enhancement Notes when making significant inferences about technical responsibilities, with specific reasoning based on role level and web technology industry practices
Be comprehensive but concise, prioritizing actionable information over descriptive text
Strategically distribute web development and server administration-related keywords throughout all sections naturally
Provide realistic salary ranges based on location, experience level, and web technology specialization

Industry Expertise:

Include specific web technologies, frameworks, server platforms, and infrastructure tools relevant to the role
Address web development career progression paths and technical leadership opportunities in web teams
Provide tactical advice for web portfolio development, live demonstrations, and project case studies
Include web technology-specific interview preparation and coding challenge guidance
Emphasize responsive design, performance optimization, accessibility standards, and user experience principles

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout
Use web development and server administration industry terminology appropriately and accurately
Include comprehensive benefits and growth opportunities relevant to web technology professionals
Provide actionable insights that give web development and server administration candidates a competitive advantage
Focus on web development team culture, cross-functional collaboration, and user impact measurement

Technical Focus & Portfolio Emphasis:

Emphasize web development best practices, responsive design principles, and performance optimization
Include specific portfolio requirements tailored to the web technology discipline and role level
Address browser compatibility, accessibility standards, and user experience design principles
Focus on problem-solving methods, performance optimization, and scalable web architecture
Include technical presentation skills and stakeholder communication for web projects

Avoid:

Generic business jargon not relevant to web development or server administration roles
Placeholder text or incomplete sections
Repetitive content across different sections
Non-technical terminology unless relevant to the specific web technology role
Marketing language unrelated to web development, server administration, or user experience