📍 Job Overview

Job Title: Lead DevOps Engineer (Cloud Engineer) - L4
Company: HighLevel
Location: Delhi, Delhi, India
Job Type: Employee (India)
Category: DevOps Engineer
Date Posted: June 26, 2025
Experience Level: 5-10 years
Remote Status: On-site/Hybrid (Global)

🚀 Role Summary

Drive visibility, efficiency, and savings across HighLevel's multi-cloud infrastructure, focusing on cost optimization and governance.
Collaborate with engineering teams to optimize their cloud footprints across GCP, AWS, and other cloud providers.
Analyze and reduce operational costs, map infrastructure cost to product usage and revenue, and provide actionable insights to stakeholders.
Design and implement strategies to reduce operational costs, build cost dashboards, and enforce efficient resource usage.

📝 Enhancement Note: This role requires a strong background in cloud engineering with a focus on cost optimization, as well as excellent communication skills to work effectively with various teams.

💻 Primary Responsibilities

Cloud Cost Optimization:
- Design and implement strategies to reduce operational costs across GCP, AWS, Firebase, and managed services.
- Develop automation scripts to detect idle resources, right-size workloads, and enforce tagging strategies.
Cost Observability:
- Build and maintain cost dashboards using tools like DoiT, GCP BigQuery, AWS Cost Explorer, etc.
- Track spend across cloud providers and services at the product, team, and project level.
CPO Analysis:
- Define and maintain Cost per Operation (CPO) metrics per product/service.
- Collaborate with product owners to align infrastructure cost with revenue generation.
Multi-Cloud Governance:
- Set up policies, guardrails, budgets, and alerts to prevent cost overruns and enforce efficient resource usage.
- Provide guidance on designing cost-efficient cloud-native systems and help teams adopt best practices.
Billing Analysis:
- Break down cloud bills by team, sub-team, project, and service using label-based and usage-based filtering.
- Provide actionable insights and recommendations to reduce costs and improve efficiency.
Collaboration:
- Partner with finance, DevOps, platform, and product teams to tie infrastructure cost back to product growth and engineering impact.
- Translate complex cost insights into actionable plans for engineering and business stakeholders.

📝 Enhancement Note: This role requires a deep understanding of cloud infrastructure, cost management, and the ability to work effectively with various teams to drive cost optimization and efficiency.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications (e.g., AWS Certified Solutions Architect, Google Cloud Certified - Professional Cloud Architect) are a plus.

Experience: 5+ years in Cloud Engineering roles with a focus on cost optimization. Proven experience in GCP, AWS, and other cloud providers.

Required Skills:

Proficiency in GCP (BigQuery, GKE, Firebase, Pub/Sub), AWS (EC2, S3, Lambda, EKS), and managed services like MongoDB Atlas, Elastic.co, ClickHouse.
Strong working knowledge of cost management tools like DoiT Cloud Analytics, GCP Billing Export, AWS CUR, and BigQuery.
Proficient in Python, Bash, and automation frameworks for cost cleanup and reporting.
Familiarity with Kubernetes cost management, node cost allocation, workload optimization, and spot/preemptible usage.
Data-driven approach, comfortable querying and visualizing cloud billing data to derive unit economics.
Excellent communication skills to work with engineering and business stakeholders.

Preferred Skills:

Experience with multi-cloud governance, policy as code, and infrastructure as code (IaC) tools like Terraform.
Familiarity with cloud cost optimization techniques, such as resource rightsizing, reserved instances, savings plans, and spot instances.
Knowledge of cloud security best practices and their impact on cost optimization.

📝 Enhancement Note: Candidates with experience in multi-cloud environments, strong analytical skills, and a proven track record in cost optimization will be highly competitive for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Cost Optimization Projects: Include case studies demonstrating your ability to reduce operational costs in multi-cloud environments.
Dashboard Creation: Showcase your ability to build and maintain cost dashboards using tools like DoiT, GCP BigQuery, or AWS Cost Explorer.
Automation Scripts: Highlight your proficiency in Python, Bash, or other scripting languages by showcasing automation scripts for cost cleanup and reporting.
Collaboration Examples: Provide examples of successful collaboration with engineering and business stakeholders to drive cost optimization and efficiency.

Technical Documentation:

Cost Management Strategies: Document your approach to cloud cost optimization, including strategies for resource rightsizing, reserved instances, and spot instances.
Cost Analysis Reports: Include reports demonstrating your ability to analyze cloud bills, identify cost-saving opportunities, and track progress over time.
Automation Scripts Documentation: Document your automation scripts, including comments, version control, and deployment processes.

📝 Enhancement Note: Highlight your ability to translate complex cost insights into actionable plans, and demonstrate your commitment to continuous learning and improvement in cloud cost optimization.

💵 Compensation & Benefits

Salary Range: INR 1,200,000 - 1,800,000 per annum (Estimated based on industry standards for a Lead DevOps Engineer with 5-10 years of experience in India)

📝 Enhancement Note: Salary estimates are based on market research and may vary depending on the candidate's skills, experience, and the company's final decision. Research methodology includes data from Glassdoor, Payscale, and Indeed.

Benefits:

Competitive health, dental, and vision insurance plans.
Retirement savings plans with company matching.
Generous time off policies, including vacation, sick leave, and company holidays.
Professional development opportunities, including training, certifications, and conference attendance.
Employee referral bonuses and other perks.

Working Hours: Full-time, 40 hours per week. Flexible working hours and remote work options may be available, depending on the team's needs and the candidate's preferences.

🎯 Team & Company Context

Company Culture:

Industry: Software as a Service (SaaS) - Marketing and Sales Automation.
Company Size: Large (1,500+ employees).
Founded: 2016.

Team Structure:

The DevOps team consists of multiple sub-teams, each focusing on specific aspects of cloud infrastructure, cost optimization, and governance.
The team follows an Agile/Scrum methodology, with regular sprint planning, code reviews, and quality assurance practices.
Cross-functional collaboration with design, marketing, and business teams is essential for driving product growth and user experience.

Development Methodology:

Agile/Scrum: The team follows Agile methodologies, with regular sprint planning, daily stand-ups, and sprint retrospectives.
Code Review & Testing: Code reviews and automated testing are integral to the development process, ensuring code quality and performance optimization.
Deployment Strategies: The team uses CI/CD pipelines and automated deployment strategies to ensure efficient and reliable software delivery.

Company Website: HighLevel

📝 Enhancement Note: HighLevel values diversity, inclusion, and collaboration, fostering an environment where talented employees can thrive and grow. The company offers competitive benefits and professional development opportunities to support its employees' success.

📈 Career & Growth Analysis

Web Technology Career Level: Lead DevOps Engineer (Cloud Engineer) - L4. This role requires a deep understanding of cloud infrastructure, cost management, and strong leadership skills to drive cost optimization and efficiency across multiple teams.

Reporting Structure: The Lead DevOps Engineer reports directly to the Director of Cloud Engineering and works closely with various engineering, finance, and product teams to align infrastructure costs with product growth and revenue.

Technical Impact: This role has a significant impact on HighLevel's bottom line by driving cost optimization, improving operational efficiency, and ensuring that infrastructure costs are aligned with product usage and revenue.

Growth Opportunities:

Technical Leadership: This role offers opportunities to grow into a senior leadership position, driving cost optimization strategies and best practices across the organization.
Technical Skill Development: HighLevel encourages continuous learning and offers opportunities to develop expertise in emerging cloud technologies and cost optimization techniques.
Architecture Decision-Making: As a Lead DevOps Engineer, you will have the opportunity to influence architectural decisions that drive cost optimization and improve operational efficiency.

📝 Enhancement Note: This role offers significant growth potential for candidates with strong technical skills, excellent communication abilities, and a proven track record in cloud cost optimization.

🌐 Work Environment

Office Type: HighLevel operates in a global, remote-first environment, with employees working from various locations worldwide. The company has offices in multiple countries, including the United States, Canada, and India.

Office Location(s): Delhi, India (On-site/Hybrid). HighLevel offers flexible working arrangements, including remote work options, depending on the team's needs and the candidate's preferences.

Workspace Context:

Collaborative Environment: HighLevel fosters a collaborative work environment, with regular team meetings, cross-functional projects, and open communication channels.
Development Tools: The company provides access to industry-standard development tools, multiple monitors, and testing devices to support employees' productivity and success.
Team Interaction: HighLevel encourages team interaction and collaboration, with regular check-ins, stand-ups, and team-building activities to foster a strong and inclusive work culture.

Work Schedule: Full-time, 40 hours per week. HighLevel offers flexible working hours and remote work options, depending on the team's needs and the candidate's preferences.

📝 Enhancement Note: HighLevel's global, remote-first environment offers candidates the opportunity to work with a diverse and talented team, driving cost optimization and efficiency in a dynamic and fast-paced SaaS company.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: A short online assessment to evaluate your understanding of cloud infrastructure, cost optimization, and relevant technologies.
Technical Deep Dive: A detailed discussion of your experience with cloud cost optimization, focusing on specific tools, strategies, and best practices.
Behavioral & Cultural Fit: An interview focused on your communication skills, problem-solving abilities, and cultural fit within HighLevel's global, remote-first environment.
Final Evaluation: A final interview with the hiring manager or a panel of stakeholders to assess your fit for the role and the team.

Portfolio Review Tips:

Cost Optimization Projects: Highlight your ability to reduce operational costs in multi-cloud environments, with a focus on specific tools, strategies, and best practices.
Dashboard Creation: Showcase your ability to build and maintain cost dashboards using tools like DoiT, GCP BigQuery, or AWS Cost Explorer.
Automation Scripts: Demonstrate your proficiency in Python, Bash, or other scripting languages by showcasing automation scripts for cost cleanup and reporting.
Collaboration Examples: Provide examples of successful collaboration with engineering and business stakeholders to drive cost optimization and efficiency.

Technical Challenge Preparation:

Cloud Cost Optimization: Brush up on your knowledge of cloud cost optimization techniques, including resource rightsizing, reserved instances, savings plans, and spot instances.
Data Analysis: Familiarize yourself with data analysis tools and techniques for cloud billing data, such as BigQuery, AWS Cost Explorer, and DoiT Cloud Analytics.
Communication Skills: Prepare for behavioral questions that assess your communication skills, problem-solving abilities, and cultural fit within HighLevel's global, remote-first environment.

ATS Keywords: (Organized by category)

Cloud Providers: GCP, AWS, Azure, Firebase, MongoDB Atlas, Elastic.co, ClickHouse
Cost Management Tools: DoiT Cloud Analytics, GCP Billing Export, AWS CUR, BigQuery, AWS Cost Explorer
Scripting Languages: Python, Bash, Terraform
Cloud Services: Kubernetes, GKE, EKS, EC2, S3, Lambda, Pub/Sub, BigQuery, MongoDB, Elasticsearch
Infrastructure as Code (IaC): Terraform, CloudFormation, Azure Resource Manager (ARM)
Methodologies: Agile, Scrum, Kanban, DevOps, CI/CD
Soft Skills: Communication, collaboration, problem-solving, leadership, teamwork
Industry Terms: Cloud cost optimization, multi-cloud governance, infrastructure as code, policy as code, cloud architecture, cloud security, cloud migration, cloud native systems

📝 Enhancement Note: HighLevel's interview process focuses on evaluating candidates' technical skills, problem-solving abilities, and cultural fit within the company's global, remote-first environment. Prepare for a comprehensive assessment of your cloud cost optimization expertise and your ability to work effectively with various teams.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role)

Backend & Server Technologies:

Cloud Providers: GCP, AWS, and other cloud providers as needed.
Managed Services: MongoDB Atlas, Elastic.co, ClickHouse, and other managed services as required.
Serverless Platforms: AWS Lambda, Google Cloud Functions, and other serverless platforms as needed.
Containerization: Kubernetes, Docker, and other containerization technologies as required.
Orchestration: Apache Airflow, Prefect, and other orchestration tools as needed.

Development & DevOps Tools:

Infrastructure as Code (IaC): Terraform, CloudFormation, Azure Resource Manager (ARM), and other IaC tools as required.
Version Control: Git, GitHub, GitLab, and other version control systems as needed.
CI/CD Pipelines: Jenkins, GitHub Actions, CircleCI, and other CI/CD tools as required.
Monitoring & Logging: Prometheus, Grafana, ELK Stack, Datadog, and other monitoring and logging tools as needed.
Cloud Cost Management: DoiT Cloud Analytics, GCP Billing Export, AWS CUR, BigQuery, AWS Cost Explorer, and other cloud cost management tools as required.

📝 Enhancement Note: HighLevel's technology stack is designed to support a multi-cloud environment, with a focus on cost optimization, efficiency, and scalability. Familiarize yourself with the relevant tools and technologies for this role.

👥 Team Culture & Values

Web Development Values:

User Experience: HighLevel prioritizes user experience, ensuring that cost optimization efforts align with product growth and user needs.
Performance Optimization: The company focuses on optimizing cloud infrastructure for performance, scalability, and cost efficiency.
Code Quality: HighLevel emphasizes code quality, automated testing, and continuous integration to ensure reliable and efficient software delivery.
Innovation: The company encourages innovation, experimentation, and continuous learning to drive product growth and user experience improvements.

Collaboration Style:

Cross-Functional Integration: HighLevel fosters a collaborative work environment, with regular team meetings, cross-functional projects, and open communication channels.
Code Review Culture: The company encourages code review, peer programming, and knowledge sharing to ensure code quality and performance optimization.
Continuous Learning: HighLevel offers professional development opportunities, including training, certifications, and conference attendance, to support employees' growth and success.

📝 Enhancement Note: HighLevel's team culture emphasizes collaboration, innovation, and continuous learning, fostering an environment where talented employees can thrive and grow.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Multi-Cloud Governance: Design and implement multi-cloud governance strategies to prevent cost overruns, enforce efficient resource usage, and optimize cloud footprints across GCP, AWS, and other cloud providers.
Cost Optimization Techniques: Develop and implement cost optimization techniques, such as resource rightsizing, reserved instances, savings plans, and spot instances, to reduce operational costs and improve efficiency.
Data-Driven Decision-Making: Leverage data analysis tools and techniques to derive unit economics, track progress, and make informed decisions about cloud cost optimization and infrastructure management.
Emerging Technologies: Stay up-to-date with emerging cloud technologies, cost optimization techniques, and best practices to drive continuous improvement and innovation.

Learning & Development Opportunities:

Technical Skill Development: HighLevel encourages continuous learning and offers opportunities to develop expertise in emerging cloud technologies, cost optimization techniques, and best practices.
Conference Attendance: The company supports employee attendance at relevant conferences, workshops, and training events to foster professional growth and development.
Technical Mentorship: HighLevel offers mentorship opportunities to help employees develop their technical skills, leadership abilities, and architecture decision-making capabilities.

📝 Enhancement Note: HighLevel's technical challenges and growth opportunities require a strong background in cloud engineering, cost optimization, and excellent communication skills to drive cost optimization and efficiency across multiple teams.

💡 Interview Preparation

Technical Questions:

Cloud Cost Optimization: Prepare for questions about cloud cost optimization techniques, including resource rightsizing, reserved instances, savings plans, and spot instances.
Data Analysis: Brush up on your knowledge of data analysis tools and techniques for cloud billing data, such as BigQuery, AWS Cost Explorer, and DoiT Cloud Analytics.
Collaboration & Communication: Prepare for behavioral questions that assess your communication skills, problem-solving abilities, and cultural fit within HighLevel's global, remote-first environment.

Company & Culture Questions:

Cloud Architecture: Familiarize yourself with HighLevel's cloud architecture, including GCP, AWS, and other cloud providers, as well as the company's approach to multi-cloud governance and cost optimization.
Agile Methodologies: Brush up on your knowledge of Agile methodologies, including sprint planning, daily stand-ups, and sprint retrospectives.
User Experience: Prepare for questions about HighLevel's focus on user experience, ensuring that cost optimization efforts align with product growth and user needs.

Portfolio Presentation Strategy:

Cost Optimization Projects: Highlight your ability to reduce operational costs in multi-cloud environments, with a focus on specific tools, strategies, and best practices.
Dashboard Creation: Showcase your ability to build and maintain cost dashboards using tools like DoiT, GCP BigQuery, or AWS Cost Explorer.
Automation Scripts: Demonstrate your proficiency in Python, Bash, or other scripting languages by showcasing automation scripts for cost cleanup and reporting.
Collaboration Examples: Provide examples of successful collaboration with engineering and business stakeholders to drive cost optimization and efficiency.

📝 Enhancement Note: HighLevel's interview process focuses on evaluating candidates' technical skills, problem-solving abilities, and cultural fit within the company's global, remote-first environment. Prepare for a comprehensive assessment of your cloud cost optimization expertise and your ability to work effectively with various teams.

📌 Application Steps

To apply for this Lead DevOps Engineer (Cloud Engineer) - L4 position at HighLevel:

Submit your application through the application link provided in the job listing.
Customize your portfolio with live demos and responsive examples of your cost optimization projects, dashboard creation, and automation scripts.
Optimize your resume for web technology roles, highlighting your project experience, technical skills, and achievements in cloud cost optimization.
Prepare for technical interviews by brushing up on your knowledge of cloud cost optimization techniques, data analysis tools, and collaboration skills.
Research HighLevel to understand the company's focus on user experience, innovation, and continuous learning, as well as its global, remote-first environment.

⚠️ 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.

Lead DevOps Engineer