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DevOps Engineer

Focus AI is transforming engineering productivity through intelligent automation. Our AI-native platform serves a dual purpose: empowering engineers to focus on high-impact work by automating routine tasks, while providing managers with actionable insights to drive strategic alignment and team success.

Led by proven leaders from top-tier institutions (Harvard, Stanford) and industry giants (Microsoft, Salesforce, Palantir), we're building sophisticated tools that eliminate unnecessary meetings, streamline workflows, and deliver smart task prioritization. Our platform reduces time-to-execution, enhances visibility across engineering operations, and ensures daily activities align with strategic objectives.

We’re looking for an exceptional DevOps Engineer to build, maintain, and optimize infrastructure and CI/CD pipelines that power our rapidly scaling AI platform.

Curious about what we're building? Check out our demo to see our platform in action: https://demo.focus-ai.com/

What You'll Do:

  • Build and Maintain Infrastructure: Design, implement, and maintain scalable cloud infrastructure and automation tools to support our growing platform.

  • Manage CI/CD Pipelines: Develop and optimize robust continuous integration and delivery systems, ensuring smooth deployments and minimal downtime.

  • Enhance Reliability: Monitor system health, implement proactive alerts, and troubleshoot infrastructure issues to maximize reliability, uptime, and performance.

  • Security and Compliance: Assist in maintaining infrastructure security, managing permissions, and ensuring compliance with best practices and industry standards.

  • Collaborate Closely: Partner with software engineers and product managers to support rapid development cycles, infrastructure needs, and system improvements.

You Bring:

  • Proven DevOps Skills: 1-4 years of DevOps or infrastructure engineering experience in dynamic tech environments. Strong proficiency in AWS, Docker, Kubernetes, and Terraform.

  • CI/CD Expertise: Hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitHub Actions, CircleCI, or similar.

  • Scripting and Automation: Solid scripting skills (Bash, Python, etc.) to automate infrastructure, deployments, and operational tasks.

  • System Reliability: Experience managing monitoring, logging, and alerting tools (e.g., Datadog, Prometheus, Grafana) to ensure system health and rapid issue resolution.

  • Collaborative Approach: Strong communication skills and ability to work collaboratively across technical teams, sharing knowledge and driving best practices.

Promise to You:

  • A Seat at the Table: As an early hire, you'll actively shape infrastructure practices and directly impact our growth trajectory.

  • World-Class Support: Backed by top-tier investors and an experienced founding team, you'll have the resources and guidance to make bold moves.

  • Comprehensive Rewards: Competitive compensation, significant equity stake, exceptional benefits, and a commitment to your personal and professional growth.

  • Impactful Work: Your contributions will help build a generational company with a real, measurable impact on engineers across the globe.

This role offers an exciting opportunity to advance your DevOps career in a supportive, fast-paced environment. If you're passionate about building intelligent, scalable AI solutions that redefine how engineers and managers work—let's talk.

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About DevOps Engineer, Focus AI

Join Focus AI as our next DevOps Engineer based in New York, where you'll play a pivotal role in transforming engineering productivity with intelligent automation. At Focus AI, we’re on a mission to empower engineers and streamline workflows by eliminating the mundane tasks that bog down creativity and efficiency. You will be responsible for building and maintaining our infrastructure, creating and optimizing CI/CD pipelines, and ensuring our cloud systems are both secure and reliable. Collaborating closely with a skilled team of software engineers and product managers, you will help facilitate rapid development cycles while enhancing system performance and reliability. You'll have the opportunity to work with cutting-edge technologies like AWS, Docker, Kubernetes, and Terraform while leveraging your scripting skills to automate deployment processes. As a DevOps Engineer, your insight will directly influence our strategies and practices, shaping the future of our AI-native platform. With guidance from leaders who hail from institutions like Harvard and Stanford, and industry giants like Microsoft and Salesforce, you’ll flourish in a supportive environment that values innovation and collaboration. We're looking for someone with a solid foundation in DevOps practices, who is passionate about optimizing infrastructure and ensuring smooth deployments. If you’re excited about making a measurable impact on how engineering teams operate and thrive, we’d love to hear from you!

Frequently Asked Questions (FAQs) for DevOps Engineer Role at Focus AI
What responsibilities will a DevOps Engineer at Focus AI have?

As a DevOps Engineer at Focus AI, your key responsibilities will include designing, implementing, and maintaining our scalable cloud infrastructure. You'll also manage and optimize CI/CD pipelines, monitor system health, and troubleshoot any issues to ensure maximum uptime and performance. Collaborating with software engineers and product managers, your role will focus on supporting rapid development cycles and enhancing system reliability while maintaining security and compliance.

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What qualifications do I need to become a DevOps Engineer at Focus AI?

To qualify for the DevOps Engineer position at Focus AI, candidates should have 1-4 years of experience in DevOps or infrastructure engineering within fast-paced tech environments. Proficiency in AWS, Docker, Kubernetes, Terraform, and CI/CD tools such as Jenkins or GitHub Actions is essential. Scripting skills in languages like Bash or Python are also required, along with a strong collaborative mindset and excellent communication skills.

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How does Focus AI ensure the reliability of its cloud infrastructure?

Focus AI places a strong emphasis on reliability within its cloud infrastructure. As a DevOps Engineer, you will monitor system health using tools like Datadog and Prometheus. Additionally, you'll implement proactive alerts to address issues swiftly, thereby maximizing uptime and performance. Part of your responsibility will also include troubleshooting and resolving any infrastructure issues that arise.

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What kind of tools will I work with as a DevOps Engineer at Focus AI?

In the DevOps Engineer role at Focus AI, you'll work extensively with AWS for cloud hosting, Docker and Kubernetes for containerization and orchestration, and Terraform for infrastructure as code. You will also utilize CI/CD tools like Jenkins or CircleCI to optimize deployment processes, and monitoring tools like Grafana to ensure system health is maintained at all times.

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What impact will I have as a DevOps Engineer at Focus AI?

As a DevOps Engineer at Focus AI, your contributions will directly influence the effectiveness and efficiency of our engineering operations. By building reliable infrastructure and streamlined CI/CD processes, you’ll help reduce time-to-execution and enhance visibility across engineering teams. Ultimately, your work will facilitate a more productive environment for engineers, allowing them to focus on high-impact projects.

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Common Interview Questions for DevOps Engineer
Can you describe your experience with CI/CD pipelines in your previous roles?

In answering this question, highlight specific CI/CD tools you’ve used, such as Jenkins or CircleCI. Discuss any particular projects where you designed or managed pipelines, emphasizing your contributions to streamlining deployment processes and minimizing downtime.

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How do you ensure the security and compliance of cloud systems?

Focus your response on your familiarity with security best practices and compliance standards relevant to cloud infrastructure. Discuss tools you've used for monitoring invites, managing permissions, and any protocols you've implemented to protect infrastructure.

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What scripting languages are you proficient in, and how have you utilized them?

List the scripting languages you know, such as Bash or Python, and provide examples of how you’ve used them to automate tasks or manage deployments in your previous positions. Choose scenarios where your scripting significantly improved efficiency.

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How do you monitor and troubleshoot system health?

Describe the monitoring tools you've used, such as Datadog or Prometheus, and explain your approach to setting up alerts and monitoring metrics. Share an example of a time when you successfully troubleshot an infrastructure issue and the outcomes of your intervention.

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Can you give an example of a time you collaborated closely with software engineers?

Provide a specific example here where your cooperation led to improved outcomes. Focus on communication strategies, how you gathered requirements, and any processes you improved to facilitate better team dynamics and project flow.

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What challenges have you faced while working in DevOps, and how did you overcome them?

Reflect on a relevant challenge, such as deployment failures or latency issues. Discuss the steps you took to overcome the challenge, and the lessons learned from the experience that have informed your current practices.

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How do you stay current with the latest DevOps trends and technologies?

In your response, mention resources like blogs, webinars, online courses, or industry conferences you follow to stay updated. Express your enthusiasm for learning and adapting to the evolving landscape of DevOps practices.

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What role do you see automation playing in DevOps?

Discuss the critical importance of automation in reducing manual tasks, improving consistency, and enhancing deployment speed. Share your views on how automation tools and practices have evolved and how they can be leveraged to drive efficiency in engineering teams.

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What is your approach to infrastructure as code?

Explain your understanding of infrastructure as code (IaC) principles, and discuss tools you’ve used such as Terraform. Provide examples of how you’ve implemented IaC to improve scalability and consistency across environments.

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Why do you want to work at Focus AI as a DevOps Engineer?

Tailor your answer to reflect your passion for intelligent automation and the impact Focus AI aims to achieve. Discuss how the position aligns with your career goals and your enthusiasm for working in an innovative and collaborative environment.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 20, 2025

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