Job Description
Job Description
Apply now: Lead Analytics and AI Engineer / Cloud DevOps Engineer, location is Remote (EST hours). The start date is ASAP for this permanent position.
Job Title: Lead Analytics and AI Engineer / Cloud DevOps Engineer
Location-Type: Remote (EST hours; optional NYC onsite)
Start Date Is: ASAP (target April 1st)
Duration: Permanent
Compensation Range: $130,000–$150,000 base bonus
Job Description:
Lead the design and implementation of scalable cloud infrastructure to support AI and data platform initiatives in a client-facing environment.
Day-to-Day Responsibilities:
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Design and build AI infrastructure within AWS
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Develop and maintain CI/CD pipelines and infrastructure as code (Terraform/CloudFormation)
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Research and recommend scalable architecture and tooling solutions
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Collaborate with client stakeholders and internal teams on infrastructure strategy
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Delegate development tasks to offshore team members and oversee delivery
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Implement monitoring, logging, and alerting systems
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Ensure security, scalability, and performance of cloud environments
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Balance hands-on engineering (50%) with planning, design, and research (50%)
Requirements:
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Must-Haves:
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6–10 years of experience in DevOps, Cloud, or Infrastructure Engineering
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Strong hands-on AWS experience
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Expertise in Infrastructure as Code (Terraform, CloudFormation, etc.)
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Experience building and managing CI/CD pipelines
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Containerization experience (Docker, orchestration tools)
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Strong understanding of cloud security, networking, and IAM
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Proven ability to build scalable infrastructure and pipelines
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Client-facing communication and stakeholder management experience
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Ability to work in ambiguous, evolving environments
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Nice-to-Haves:
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Experience supporting AI/ML infrastructure or data platforms
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Familiarity with AI tools and workflows
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Experience scaling early-stage or non-standardized environments
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Prior experience leading or mentoring small offshore teams
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Benefits:
This role is eligible to enroll in both health insurance plan and retirement plan.