Senior Cloud DevOps Infrastructure Engineer / Onsite in Midtown Manhattan

Motion Recruitment

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Medical, dental and vision insurance
401(k) plan with employer contribution
Generous paid time off
Hybrid work schedule (4 onsite days, 1
Opportunity to work on cutting-edge AI
High-growth startup environment with >

Job summary

Motion Recruitment is seeking a Cloud Infrastructure Engineer in New York City to design, build, and optimize scalable, secure cloud platforms powering enterprise AI workloads. The role emphasizes collaboration with product and engineering teams to align infrastructure with evolving business goals.

You will work in a primarily onsite environment (Manhattan) with some remote Fridays, focusing on reliability, performance, and cost optimization while delivering secure, compliant cloud solutions for

Qualifications

  • 4+ years of cloud infrastructure engineering, DevOps, or related roles
  • Hands-on experience with AWS services (ECS, EC2, Lambda, S3, CloudFront, CloudWatch, RDS, IAM, SSM)
  • Strong experience with containerization and orchestration tools (Docker, Kubernetes, gRPC)
  • Expertise building and managing CI/CD pipelines (AWS CodePipeline, GitHub Actions, Jenkins, or GitLab CI/CD)
  • Experience designing infrastructure-as-code using tools like AWS CDK or CloudFormation
  • Strong understanding of cloud security, compliance, and best practices (especially in regulated industries)
  • Ability to collaborate cross‑functionally with engineering teams and align infrastructure with product goals
  • Proven problem‑solving skills with a focus on scalability, efficiency, and cost optimization

Responsibilities

  • Architect scalable cloud infra for AI workloads
  • Manage and optimize CI/CD pipelines for rapid and reliable delivery
  • Develop and maintain Infrastructure-as-Code solutions
  • Monitor system performance, logging, and observability improvements
  • Enhance security, compliance, and multi‑tenant infrastructure capabilities
  • Collaborate with engineering teams and drive infra enhancements

Skills

Cloud infrastructure
AWS (ECS, EC2, Lambda)
Kubernetes
CI/CD pipelines
IaC (CDK/CloudFormation)
Cloud security & compliance
Cross‑functional collaboration
Cost optimization

Tools

Terraform
GitHub Actions
Docker
Jenkins

Job description

This New York City–based organization is building an agentic AI platform transforming financial services. As a Cloud Infrastructure Engineer, you will design and manage scalable, secure infrastructure powering advanced generative AI products.

This is a full-time, primarily onsite role (4 days/week in Manhattan, with remote Fridays) offering the opportunity to work alongside a high-caliber team from leading financial institutions and top-tier engineering organizations.

This role is ideal for an infrastructure expert who thrives on building reliable, high-performance cloud environments and enjoys working closely with product and engineering teams. You’ll directly influence platform scalability, security, and performance while helping redefine how financial institutions leverage AI. The position offers strong exposure to cutting-edge AI workloads, modern DevOps practices, and real-world impact on enterprise customer deployments.

Required Skills & Experience
  • 4+ years of experience in cloud infrastructure engineering, DevOps, or related roles
  • Extensive hands‑on experience with AWS services (ECS, EC2, Lambda, S3, CloudFront, CloudWatch, RDS, IAM, SSM)
  • Strong experience with containerization and orchestration tools (Docker, Kubernetes, gRPC)
  • Expertise building and managing CI/CD pipelines (AWS CodePipeline, GitHub Actions, Jenkins, or GitLab CI/CD)
  • Experience designing infrastructure-as-code using tools like AWS CDK or CloudFormation
  • Strong understanding of cloud security, compliance, and best practices (especially in regulated industries)
  • Ability to collaborate cross‑functionally with engineering teams and align infrastructure with product goals
  • Proven problem‑solving skills with a focus on scalability, efficiency, and cost optimization
Desired Skills & Experience
  • Experience with hybrid cloud deployments or multi‑cloud environments
  • Familiarity with GCP and/or Azure
  • Experience working in financial services or other regulated industries
  • Knowledge of microservices architecture patterns and distributed systems
  • Exposure to observability tools and logging frameworks (e.g., Prometheus, Grafana, ELK stack)
  • Strong scripting skills (Python, Bash, or similar)
  • Experience supporting multi‑tenant environments and customer‑specific deployments
What You Will Be Doing
Tech Breakdown
  • 60% AWS Cloud Infrastructure & Architecture (ECS, Lambda, VPC design, networking)
  • 25% CI/CD, Automation & Infrastructure-as-Code
  • 15% Monitoring, Security, and Optimization
Daily Responsibilities
  • 30% Architecting and deploying scalable cloud infrastructure for AI workloads
  • 20% Managing and optimizing CI/CD pipelines for rapid and reliable delivery
  • 15% Developing and maintaining Infrastructure-as-Code solutions
  • 15% Monitoring system performance, logging, and observability improvements
  • 10% Enhancing security, compliance, and multi‑tenant infrastructure capabilities
  • 10% Collaborating with engineering teams and driving infrastructure enhancements
The Offer
  • Comprehensive medical, dental, and vision insurance
  • 401(k) plan with employer contributions (placeholder: confirm details)
  • Generous paid time off and company holidays
  • Hybrid work schedule (4 days onsite, Fridays remote)
  • Opportunity to work on cutting‑edge AI products in financial services
  • High‑growth startup environment with strong career advancement potential

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