Senior Devops Engineer at AnthologyAI

📍 Job Overview

Job Title: Senior DevOps Engineer
Company: AnthologyAI
Location: New York City, New York, United States
Job Type: Full-Time
Category: DevOps Engineer
Date Posted: June 30, 2025
Experience Level: Mid-Senior Level (5-10 years of experience)
Remote Status: Remote (with occasional in-person meetings in New York City)

🚀 Role Summary

AnthologyAI is seeking a Senior DevOps Engineer to join their team, playing a crucial role in ensuring the smooth and effective operation of their platform. The ideal candidate will have a strong background in infrastructure management, with a focus on automation, monitoring, and optimization. This role involves collaborating with senior engineers to design, implement, and maintain AnthologyAI's systems infrastructure using Terraform. The successful candidate will also utilize Datadog for monitoring and alerting, Helm for managing deployments, and have experience with public cloud platforms such as AWS and GCP.

💻 Primary Responsibilities

🔧 Infrastructure Management & Automation

Collaborate with senior engineers to design, implement, and maintain AnthologyAI's systems infrastructure using Terraform.
Automate the provisioning, configuration, and management of infrastructure resources across multiple cloud platforms.
Implement and configure monitoring and alerting solutions using Datadog to ensure the health and performance of AnthologyAI's systems.

📦 Deployment & Update Management

Work with Helm to manage deployments and updates of containerized applications within Kubernetes clusters.
Assist in the deployment and management of services on public cloud platforms such as AWS and GCP.

🛠️‍💻 System Administration & Optimization

Administer and support distributed systems, ensuring their reliability, performance, and scalability.
Contribute to the development of observability practices and tools to enable effective monitoring, logging, and debugging of distributed systems.
Troubleshoot and resolve infrastructure-related issues, ensuring minimal impact on operations.
Collaborate with cross-functional teams to ensure the seamless integration of new services and applications into AnthologyAI's existing infrastructure.

💡 Continuous Learning & Improvement

Stay up-to-date with emerging technologies and industry trends, continuously improving technical skills and knowledge.
Contribute to the development of AnthologyAI's platform, driving business growth and enhancing customer satisfaction.

🎓 Skills & Qualifications

🎓 Education & Experience

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
5-10 years of experience in DevOps, infrastructure management, or a related role.

🔑 Required Skills

Strong understanding of infrastructure-as-code (IaC) principles and experience using Terraform for infrastructure provisioning and management.
Familiarity with monitoring and observability tools such as Datadog to track system performance, troubleshoot issues, and ensure scalability.
Proficiency in managing containerized applications using Helm within Kubernetes clusters.
Experience with public cloud platforms, preferably AWS and GCP, including deploying and managing services.
Knowledge of distributed systems concepts, best practices, and hands-on experience with their administration.
Experience with Kafka for building and managing distributed streaming platforms.
Strong problem-solving skills and the ability to analyze and resolve complex infrastructure issues.
Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
Self-motivated and eager to learn new technologies and stay updated with industry advancements.

🌟 Preferred Skills

Relevant certifications such as AWS Certified Solutions Architect, GCP Cloud Engineer, or Kubernetes certifications.
Familiarity with additional tools and technologies related to infrastructure automation, containerization, and distributed systems.

📊 Web Portfolio & Project Requirements

As this role focuses on infrastructure management and automation, a portfolio is not required. However, demonstrating relevant projects or case studies showcasing your experience with Terraform, Datadog, Kubernetes, and public cloud platforms can strengthen your application.

💵 Compensation & Benefits

💰 Salary Range

$160,000 - $180,000 base salary per year, with the possibility of variation based on experience.

🎁 Benefits

Competitive salary, equity, and opportunities for professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence and Data Privacy
Company Size: Medium-sized (51-200 employees)
Founded: 2021
Team Structure: The DevOps team works closely with senior engineers, cross-functional teams, and stakeholders to ensure seamless integration and high-quality infrastructure.
Development Methodology: AnthologyAI follows Agile methodologies, with a focus on collaboration, continuous integration, and delivery.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior Level (5-10 years of experience) with opportunities for growth into technical leadership roles or architecture decision-making.
Reporting Structure: The Senior DevOps Engineer reports directly to the VP of Engineering and works closely with senior engineers and cross-functional teams.
Technical Impact: This role has a significant impact on AnthologyAI's platform performance, scalability, and overall system reliability.

🌐 Work Environment

Office Type: Remote-first with occasional in-person meetings in New York City.
Office Location(s): New York City, New York, United States
Workspace Context: AnthologyAI provides remote workers with the necessary tools and resources to perform their jobs effectively, including access to relevant software, hardware, and collaboration platforms.
Work Schedule: Full-time (40 hours per week) with flexible working hours and occasional deployment windows or maintenance tasks.

📄 Application & Technical Interview Process

📝 Interview Process

Application Review: AnthologyAI will review your application, focusing on your experience with Terraform, Datadog, Kubernetes, and public cloud platforms.
Technical Phone Screen: A brief phone or video call to discuss your technical background and answer any questions about your application.
Technical Deep Dive: A more in-depth technical interview, focusing on your experience with infrastructure management, automation, and problem-solving.
Final Interview: A conversation with the VP of Engineering to discuss your career goals, cultural fit, and next steps.

📝 Portfolio Review Tips

As this role focuses on infrastructure management, a portfolio is not required. However, you can prepare by demonstrating relevant projects or case studies showcasing your experience with Terraform, Datadog, Kubernetes, and public cloud platforms.

💡 Technical Challenge Preparation

Brush up on your Terraform, Datadog, Kubernetes, and public cloud platform skills, focusing on infrastructure automation, monitoring, and optimization.
Familiarize yourself with AnthologyAI's platform and understand their mission to create an equitable and fair data economy.
Prepare for behavioral questions that assess your problem-solving skills, communication, and collaboration abilities.

🛠️‍💻 Technology Stack & Web Infrastructure

🛠️‍💻 Infrastructure & Automation Tools

Terraform: Used for infrastructure provisioning, configuration, and management across multiple cloud platforms.
Datadog: Employed for monitoring, alerting, and ensuring the health and performance of AnthologyAI's systems.
Helm: Utilized for managing deployments and updates of containerized applications within Kubernetes clusters.

📊 Cloud Platforms & Services

AWS: Amazon Web Services, used for deploying and managing services, with a focus on scalability, reliability, and security.
GCP: Google Cloud Platform, employed for deploying and managing services, with an emphasis on innovation, performance, and cost optimization.

🛠️‍💻 Distributed Systems & Databases

Kubernetes: Used for orchestrating containerized applications and managing their deployment, scaling, and availability.
Kafka: Employed for building and managing distributed streaming platforms, enabling real-time data processing and analytics.
MongoDB: Utilized for data storage, with a focus on scalability, performance, and high availability.

👥 Team Culture & Values

🌟 Web Development Values

User-Centric: AnthologyAI prioritizes user privacy, control, and value, ensuring that their platform meets users' needs and expectations.
Innovation: AnthologyAI encourages continuous learning, experimentation, and iteration to drive platform improvement and growth.
Collaboration: AnthologyAI fosters a culture of open communication, active listening, and collective problem-solving.
Integrity: AnthologyAI values transparency, honesty, and ethical decision-making in all aspects of their operations.

🤝 Collaboration Style

Cross-Functional Integration: AnthologyAI promotes collaboration between developers, designers, and stakeholders to ensure seamless integration and high-quality user experiences.
Code Review Culture: AnthologyAI emphasizes code reviews, peer programming, and knowledge sharing to maintain high coding standards and best practices.
Mentorship & Growth: AnthologyAI encourages technical mentoring, leadership development, and career progression opportunities for their team members.

💡 Interview Preparation

💡 Technical Questions

Terraform & Infrastructure Automation: Prepare for questions about your experience with Terraform, infrastructure automation, and best practices for managing cloud resources.
Monitoring & Observability: Brush up on your knowledge of Datadog, monitoring, alerting, and ensuring system performance and scalability.
Kubernetes & Containerization: Familiarize yourself with Kubernetes, Helm, and managing containerized applications within production environments.
Cloud Platforms & Services: Review your experience with AWS, GCP, and deploying and managing services on public cloud platforms.
Problem-Solving & Troubleshooting: Prepare for scenarios that assess your ability to analyze and resolve complex infrastructure issues, ensuring minimal impact on operations.

💡 Company & Culture Questions

Company Mission & Values: Research AnthologyAI's mission, values, and how they prioritize user privacy, control, and value in their platform.
Agile Methodologies: Brush up on your understanding of Agile methodologies, continuous integration, and delivery practices.
User Experience & Design: Prepare for questions about AnthologyAI's user experience, design principles, and how you ensure seamless integration and high-quality user experiences.
Cross-Functional Collaboration: Familiarize yourself with AnthologyAI's cross-functional teams, their roles, and how you can collaborate effectively to drive platform improvement and growth.

💡 Portfolio Presentation Strategy

As this role focuses on infrastructure management, a portfolio is not required. However, you can prepare by demonstrating relevant projects or case studies showcasing your experience with Terraform, Datadog, Kubernetes, and public cloud platforms.

📌 Application Steps

To apply for this Senior DevOps Engineer position at AnthologyAI:

Customize Your Application: Tailor your application to highlight your experience with Terraform, Datadog, Kubernetes, and public cloud platforms, emphasizing your problem-solving skills, communication, and collaboration abilities.
Prepare for Technical Phone Screen: Brush up on your technical skills and be ready to discuss your experience with infrastructure management, automation, and optimization.
Research AnthologyAI: Familiarize yourself with AnthologyAI's platform, mission, and values to demonstrate your understanding and enthusiasm for their work.
Practice Interview Questions: Prepare for technical and behavioral interview questions, focusing on your experience with infrastructure management, automation, and problem-solving.

📝 Enhancement Note: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with AnthologyAI before making application decisions.

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

Web Technology-Specific Focus:

Tailor every section specifically to DevOps, infrastructure management, and automation roles.
Include Terraform, Datadog, Kubernetes, and public cloud platform experience prominently.
Emphasize infrastructure automation, monitoring, and optimization principles.
Address distributed systems, Kafka, and MongoDB administration and performance tuning.
Highlight problem-solving skills, communication, and collaboration abilities for infrastructure-related roles.

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 Terraform, Datadog, Kubernetes, and public cloud platform experience and best practices.
Address distributed systems, Kafka, and MongoDB administration and performance tuning.
Provide tactical advice for infrastructure management, automation, and optimization.
Include web technology-specific interview preparation and coding challenge guidance.
Emphasize problem-solving skills, communication, and collaboration abilities for infrastructure-related roles.

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 DevOps, infrastructure management, and automation roles.
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 Terraform, Datadog, Kubernetes, and public cloud platform experience in every section.
Address infrastructure automation, monitoring, and optimization principles.
Highlight problem-solving skills, communication, and collaboration abilities for infrastructure-related roles.
As this role focuses on infrastructure management, a portfolio is not required. However, demonstrate relevant projects or case studies showcasing your experience with Terraform, Datadog, Kubernetes, and public cloud platforms to strengthen your application.