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Open nowFirst seen 5 days ago

GCP DevOps Engineer

ESRhealthcare and EXEC STAFF RECRUITERS1,404 open roles

Pay
$160,000 – $220,000 a year
Where
NYC, New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowGCP DevOps EngineerESRhealthcare and EXEC STAFF RECRUITERS · NYC, New York, United States, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ESRhealthcare and EXEC STAFF RECRUITERS's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

GCP DevOps Engineer

https://jobs.micro1.ai/post/aab351d0-20ad-4219-b9d6-f306700aced9?referralCode=10002f4f-2f65-476f-b8d5-434a25460930&utm_source=referral&utm_medium=share&utm_campaign=job_referral

Job Type: Full-time

Location: Remote - US

Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.

Key Responsibilities:

Design, implement, and manage scalable cloud infrastructure solutions on GCP.

Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

Administer and optimize Kubernetes clusters for maximum reliability and performance.

Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

Ensure the security and compliance of cloud environments by applying best practices.

Proactively identify and resolve infrastructure bottlenecks and incidents.

Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.

Required Skills and Qualifications:

Strong hands-on experience with Google Cloud Platform (GCP).

Deep expertise in implementing and operating cloud infrastructure in production settings.

Proficiency with Kubernetes administration and orchestration.

Solid understanding of DevOps methodologies, tools, and best practices.

Experience building and maintaining CI/CD pipelines.

Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

Excellent written and verbal communication skills; ability to convey complex concepts clearly.

Preferred Qualifications:

GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

Experience with hybrid or multi-cloud environments.

Familiarity with security best practices and compliance standards relevant to cloud-native architectures.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to [email protected].

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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