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Evening Facebook Devops Jobs (NOW HIRING)

FastTek

DevOps Senior Specialist

Dearborn, MI

$119K - $153K/yr

DevOps Senior Specialist #1054492 Objectives of this role: * Setup, maintenance and update of React ... You can become a fan of FastTek on Facebook: AI & Hiring Disclosure We use AI tools to support ...

MEMX

DevOps Engineer (International Remote Hire)

$54 - $74/hr

This shift begins each week on Sunday evening at 11:00 pm ET What You'll Do * Collaborate with ... Solid understanding of DevOps practices and methodologies, including continuous integration ...

VGroup Inc

.Net Developer

Harrisburg, PA · On-site

$47.75 - $63/hr

Hands-on experience in leveraging Azure DevOps at a matured level for development activities ... Website: www.vgroupinc.com LinkedIn: www.linkedin.com/company/v -group/ Facebook: www.facebook.com ...

krg technology inc

Devops Practice Lead

Austin, TX

$52.25 - $71.50/hr

... Potential evening and weekend incident response may be required Work effectively with teams across Whole Foods to support operational best practices Must have/Basic Qualifications: 8+ years ...

Capstone IT

Senior Java Developer

Richmond, VA · On-site

$56.75 - $72.25/hr

... DevOps Containerization technologies with Docker and Kubernetes Education: Bachelor Degree in ... Like us on Facebook: Follow us on Twitter:

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Evening Facebook Devops information

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How much do evening facebook devops jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for evening facebook devops in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Facebook Devops jobs? The most popular types of Facebook Devops jobs are:
Evening Facebook Devops jobs near you

Forward Deployed Engineer

David Joseph & Company

San Francisco, CA • Remote

$150K - $200K/yr

Full-time

Posted 6 days ago

Job description

Forward Deployed Engineer

Location: Remote (East Coast US or United Kingdom)
Compensation: $150,000 – $200,000 base + equity
Experience Level: 3–8 years
Employment Type: Full-Time

About the Company

This company helps enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready. They provide AI evaluation, observability, governance, and guardrail infrastructure for banks, insurance companies, government agencies, and other regulated enterprises.

About the Role

This is a customer-facing infrastructure engineering role owning 3–4 enterprise deployments simultaneously. You will deploy and operationalize AI systems in production environments, integrate the company's products into customer infrastructure, and bridge customer needs with product and engineering teams. The role requires deep Kubernetes and DevOps expertise with strong customer-facing ownership.

What You'll Own
  • Deploy and operationalize AI systems in production environments
  • Design enterprise deployment architectures
  • Integrate products into customer infrastructure
  • Debug and troubleshoot deployment challenges
  • Work directly with engineering, security, compliance, and infrastructure teams
  • Translate customer deployment challenges into product feedback
  • Support AI governance, evaluation, and observability workflows
  • Own 3–4 customer deployments simultaneously
  • Bridge customer needs with product and engineering teams
Requirements
  • 3–8 years of post-undergraduate experience
  • Strong Kubernetes experience and networking expertise
  • DevOps and platform engineering experience
  • Distributed systems knowledge and API integration experience
  • Enterprise deployment experience with strong scripting skills
  • Customer-facing engineering experience
  • Ability to work independently
  • Comfortable supporting East Coast US or UK customers
  • Available for occasional evening collaboration with India-based teams
Target Backgrounds

Strong signals include Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, AI infrastructure startup experience, Kubernetes production ownership, DevOps leadership, enterprise deployment experience, and regulated industry (financial services, healthcare, government) experience. Ideal roles: Forward Deployed Engineer, Solutions Engineer, Infrastructure Engineer, Platform Engineer, DevOps Engineer, SRE, AI Infrastructure Engineer, Technical Implementation Engineer, or Enterprise Solutions Architect.

Nice to Have
  • Master's degree in Computer Science or Engineering
  • Generative AI infrastructure or LLM deployment experience
  • Financial services, healthcare, or government technology experience
  • AI observability, evaluation frameworks, guardrails, or governance and compliance systems
This Role Is NOT For
  • Traditional bank DevOps engineers or legacy enterprise IT backgrounds
  • Pure software engineers with no deployment experience
  • Candidates without customer-facing experience
  • Big-company-only backgrounds without startup adaptation
  • Weak Kubernetes knowledge or limited infrastructure ownership
Interview Process
  1. Initial screen with Oliver Liu
  2. Round 1 technical with Yash — Kubernetes, networking, DevOps
  3. Round 2 mock customer deployment with Edwin — live Kubernetes deployment exercise, debugging and adaptation; AI tools allowed
  4. Round 3 domain expertise and behavioral
  5. Founder round
  6. Offer
Logistics
  • Role is fully remote — East Coast US or United Kingdom
  • Occasional evening availability required for collaboration with India-based teams

Shortlisted candidates will be contacted by David Joseph & Co.