Lead Cloud Engineer (GCP) - Rearc : Job Details

Lead Cloud Engineer (GCP)

Rearc

Job Location : New York,NY, USA

Posted on : 2025-08-05T01:23:20Z

Job Description :

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Join to apply for the Lead Cloud Engineer (GCP) role at Rearc

About Rearc

At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place!

Our approach

Our approach is simple — empower engineers with the best tools possible to make an impact within their industry. We seek engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on leaders who design and build solutions that push the boundaries of cloud computing.

About the role

Are you a highly skilled Cloud Engineer who leads by doing? At Rearc, we're looking for a Lead Cloud Engineer to take ownership of complex technical initiatives, drive them with hands-on expertise, and elevate the engineers around them. If you thrive in high-trust environments, prefer building over managing, and want to shape the future of secure and scalable cloud infrastructure, you'll feel right at home.

Responsibilities
  • Owning Critical Initiatives: Lead complex infrastructure projects from architecture to implementation, ensuring security, scalability, and maintainability.
  • Staying Hands-On: Write code, build pipelines, deploy infrastructure, debug issues, and contribute to reusable modules while setting engineering standards.
  • Technical Decision-Making: Make architectural choices and drive alignment across teams and stakeholders.
  • Leading from the Front: Conduct code reviews, pair programming, design documentation, and mentoring.
  • Customer Enablement: Act as a technical advisor to customers' engineers to solve problems and accelerate delivery.
  • AI Platform Enablement: Design and build cloud infrastructure for AI/ML workloads on GCP.
  • Infrastructure as Code & CI/CD: Lead scalable, secure, and automated infrastructure deployment using tools like Terraform and CI/CD pipelines.
  • Security & Compliance: Embed security principles across infrastructure and automation, especially for regulated environments.
  • Mentorship & Technical Uplift: Grow team capabilities through knowledge sharing and feedback.
What you bring
  • Deep GCP Expertise: Hands-on experience with GCP services like GKE, BigQuery, Cloud Run, Pub/Sub, IAM, Spanner, VPCs.
  • Kubernetes Depth: Strong understanding of Kubernetes internals, security, and operations at scale.
  • IaC Mastery: Expert in Terraform, with experience in CDKTF, KCC, or Pulumi as a plus.
  • CI/CD Proficiency: Experience building secure, scalable CI/CD pipelines with vulnerability scanning and policy enforcement.
  • Security-First Thinking: Knowledge of least privilege, workload identity, secure networking, and compliance.
  • Programming Skills: Proficiency in Python or Java; Go is a plus.
  • Observability Practice: Familiarity with Prometheus, Grafana, and distributed tracing.
  • Strong Communication: Ability to articulate technical trade-offs to engineers and stakeholders.
  • Enterprise Experience: Success in high-scale, regulated, or hybrid environments.
  • Team Mindset: Mentorship and collaboration skills.
  • Bias for Action: Proactive approach to diving in, validating, and iterating.
Why Rearc?

We value engineers who own what they build, challenge assumptions, and care about quality. Our culture is built on high trust, low friction, and collaboration. We work across cloud infrastructure, security, data platforms, and ML at the edge of cloud provider capabilities. Our leads build alongside the team.

If you want to stay hands-on, lead impactful projects, and shape cloud-native engineering, let's talk.

Compensation

The pay range for this role is $180,000 - $230,000 USD per year (Hybrid, New York, NY).

Additional details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and IT
  • Industries: IT Services and Consulting

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