DevOps Engineer - Platform Operations

Sorry, this job was removed at 01:42 p.m. (EST) on Tuesday, May 28, 2024
New York, NY
Hybrid
120K-135K Annually
3-5 Years Experience
AdTech • Big Data • Consumer Web • Enterprise Web • Data Privacy
The Role

Systems Engineer - Platform Operations (DevSecOps)
Job Summary:

Caden’s mission is to create an equitable and fair data economy online by giving users ownership of their personal data, the ability to securely control it, and various ways to put it to work to create value with brands they trust, while always preserving their privacy.

We’re led by industry veterans, backed by powerhouse investors (almost $25M total investment), and crewed by the brightest minds in the game. We exist to make the internet a better place for all.

As we continue to expand, we are seeking an additional dynamic and results-driven Platform Operations (DevOps) Systems Engineer to contribute to the building and scaling of Caden’s platform . This position will report to the Lead Engineer - Platform Operations and will be instrumental in building and owning the software development effort for the Caden platform. 

Your skills will add to the team’s expertise in designing, implementing, and maintaining the systems and infrastructure that form the backbone of Caden’s platform. You will work closely with members of Caden’s Engineering team to troubleshoot issues, optimize performance, and deploy updates, ultimately ensuring high availability, security, and scalability. By monitoring system health, analyzing performance metrics, and identifying potential vulnerabilities, you will contribute to the overall stability and reliability of the platform, enabling the company to deliver uninterrupted services, enhance customer satisfaction, and drive business growth. 

What You’ll Do:

  • Collaborate with software and data engineers to design, implement, and maintain our systems infrastructure.
  • Utilize Terraform to 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 our systems.
  • 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.
  • Contribute to the development of observability practices and tools to enable effective monitoring, logging, and debugging of distributed systems.
  • Administer and support distributed systems, ensuring their reliability, performance, and scalability.
  • 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 our existing infrastructure.
  • Stay up-to-date with emerging technologies and industry trends, continuously improving your technical skills and knowledge.

What You’ve Done:

  • 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.
  • Familiarity with MongoDB or other NoSQL databases, including administration and performance tuning.
  • 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.
  • Bachelor's degree in Computer Science, Engineering, Information Technology or a related field.

Bonus points for:

  • Any experience with Kafka or Confluent Cloud.
  • 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.

Why Caden?

  • Join a high-growth startup that is at the forefront of innovation!
  • Opportunity to make a significant impact on the company's strategic and growth trajectory.
  • Collaborative and inclusive work environment that encourages innovation and growth.
  • Competitive compensation package.
  • A wide range of health & commuter Benefits.
  • Hybrid work arrangements.
  • Flexible PTO!
  • In-office work perks such as a plethora of snacks & drinks, pet-friendly environment and more!

Salary: $120,000 - $135,000 base. Salary may vary based on experience.

We offer a competitive salary, equity, hybrid work arrangements, and opportunities for professional development.

This role will work (Hybrid, 3 days a week) out of our downtown Manhattan office.

** There is currently no relocation and/or visa (immigration) assistance provided for this position.

What the Team is Saying

Shreya Sathyanarayan
Julia Hapunovych
Gabriel Lebow
Awnish Choudhary
The Company
New York, NY
32 Employees
Hybrid Workplace
Year Founded: 2021

What We Do

At AnthologyAI, we've rearchitected efficient consumer data acquisition by putting the user in the middle of the process. Via our app Caden, we allow users to be in control of their personal data, and if they explicitly choose to, they can monetize it by sharing their anonymous data with us. It's a simple value proposition on top of immensely complex technology—the only way for us to ensure security, privacy and accuracy.

The result is, the single most efficient, accurate and actionable source of consumer intelligence ever built. We have our finger on the pulse of global consumerism, 24 hours per day, without PII, identity resolution or any other privacy-invading techniques.

The AI models we've trained our tens of billions of ethically-sourced datapoints on have a complete understanding of consumer behavior. We can predict inflation as easily as we can predict how many people will walk across a certain street corner in Manhattan in six months. We can model likelihood of churn as easily as we can probabilities that a certain film or TV show will do well.

We believe explicit consent is now the name of the game, with terms happening above the board and dark patterns being snuffed out. Ethically sourced first-party data has become the most valuable asset on the internet, hampering personalization, addressability, measurement, activation, and analysis for anyone who doesn't have it.

We've changed the consumer intelligence game by leading with trust, ethics and intelligence, wrapped in bleeding-edge technology.

Why Work With Us

AnthologyAI is on a mission to solve a 25-year-old problem. With all the changes happening in the digital world, from privacy laws to the demise of third-party cookies and the end of tracking on iPhones, we're in the midst of a digital revolution. Working here is more than just a job - it's an opportunity to be part of something bigger.

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AnthologyAI Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

First and foremost, here at Anthology we value the benefits of in-person work. As a team, we spend 3 days a week on-site in our beautiful new space in Soho, NYC. While the office is open for those who wish, Mondays & Fridays we typically work remote.

Typical time on-site: 3 days a week
New York, NY

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