DevOps Engineer - Mobility

automotiveMastermind Inc.
New York, NY, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$69,661.0 - $122,231.0
Working hours
Regular working hours
Job source

Tech stack

Cloud Engineering Computer Programming DevOps Distributed Systems Reliability Engineering Software Deployment Data Logging Scripting Cloud Platform System Delivery Pipeline Containerization Kubernetes
+2 more
Infrastructure Automation Frameworks Data Pipelines

Job description

We are looking for a highly skilled DevOps Engineer to join our team and help build, scale, and maintain modern, cloud-based infrastructure. The ideal candidate is passionate about containerized platforms, infrastructure automation, declarative deployment practices, and modern operational frameworks. You will play a key role in optimizing delivery pipelines, strengthening platform reliability, and evolving our overall cloud ecosystem., * Design, build, and maintain highly available, scalable, and secure cloud infrastructure.

  • Manage and optimize container orchestration environments, including networking, security, and workload scheduling.
  • Implement and maintain declarative, version-controlled deployment workflows to enable automated and repeatable releases.
  • Build and manage infrastructure automation solutions using Infrastructure as Code practices.
  • Develop and maintain application deployment workflows using templated configurations and runtime manifests.
  • Collaborate closely with development teams to streamline build, test, and release processes.
  • Configure and maintain observability solutions covering monitoring, logging, and alerting.
  • Support and optimize data and workflow orchestration systems used across the platform.
  • Troubleshoot infrastructure and application issues across multiple layers of the stack.

Requirements

  • Strong proficiency with container orchestration and distributed systems.
  • Solid experience applying Infrastructure as Code principles and tools.
  • Hands-on experience with declarative deployment or configuration-driven workflows.
  • Strong understanding of cloud architecture and managed infrastructure services.
  • Experience with delivery pipelines, monitoring, and operational tooling.
  • Strong fundamentals in networking and systems design.

Nice-to-Have Skills

  • Experience with managed workflow or data orchestration platforms.
  • Programming or scripting experience in one or more general-purpose languages.
  • Experience creating reusable deployment or infrastructure templates.
  • Familiarity with site reliability or operational excellence practices.
  • Understanding of security principles for cloud and containerized environments.

Soft Skills

  • Strong problem-solving and analytical abilities.
  • Ability to collaborate effectively across engineering and product teams.
  • Clear and concise communication skills.
  • Passion for automation, reliability, and continuous improvement.

Benefits & conditions

  • Mobility Global states that the anticipated base salary range for this position is $69,661 to $122,231. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.
  • In addition to base compensation, this role is eligible for an annual incentive plan.
  • This role is eligible to receive additional company benefits. For more information on the benefits we provide to our employees, visit this link: ;/li>

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!

About the company

Founded in 2012, automotiveMastermind, a part of Mobility Global, is the automotive industry’s trusted data and technology provider. The company drives greater salesperson efficiency through its use of Actionable Intelligence and personalized experiences. Through a combination of behavioral predictive analytics, targeted marketing outreach, and expert consulting, automotiveMastermind empowers dealers and OEMs to seamlessly blend data and intelligence with personalized insights. automotiveMastermind is headquartered in New York City. For more information, visit ;br>

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