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Lead MLSecOps Engineer

  • Lead MLSecOps Engineer job type Posted on: Nov 04, 2026
  • Lead MLSecOps Engineer experience level AGM Tech Solutions - A Woman and Latina-owned IT Staffing Firm-an Inc. 5000 company
  • Lead MLSecOps Engineer employment type Jersey City, New Jersey
  • Lead MLSecOps Engineer salary Salary: $80 per hour
  • Lead MLSecOps Engineer employment type Onsite
  • Lead MLSecOps Engineer salary Full-time

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Job Title :

Lead MLSecOps Engineer

Job Type :

Full-Time

Job Location :

Jersey City New Jersey United States

Remote :

No

Jobcon Logo Job Description :

Lead MLSecOps EngineerJersey City, NJ - (Hybrid schedule 3 days in office)Contract to Hire About the RoleWe are looking for a heavy-hitting, hands-on Lead Software Engineer with a strong hybrid background in Backend Python Development and DevOps Automation.Key ResponsibilitiesBuild & Scale: Drive the engineering, feature development, and architectural scaling of our core internal AI Security Platform from its current early phase to enterprise maturity.Pipeline Integration: Standardize and secure the deployment of containerized AI applications and infrastructure across the software development life cycle.GenAI & Agent Governance: Implement controls, orchestrations, and integration patterns around LLMs and autonomous AI coding assistants (such as GitHub Copilot and Claude) used across the enterprise.End-to-End Ownership: Take full technical ownership of features—from brainstorming solutions and prototyping to production deployment and defending architectural choices to leadership.Cross-Functional Communication: Collaborate closely with engineering teams to clearly explain, document, and present technical concepts, security strategies, and platform capabilities.Required Technical Stack & ExperienceCore Software Engineering: 8+ years of total IT experience, with a minimum of 5+ years in dedicated, hands-on software development roles prioritizing clean backend programming.Primary Language: Professional mastery of Python (building modular services, tools, or automation frameworks).DevOps Environment: Heavy production experience orchestrating continuous integration and container delivery environments using Jenkins, Docker, and Kubernetes (K8s).GenAI / LLM Engineering: Hands-on exposure to Generative AI projects within the past year. Deep familiarity with LLM APIs, prompt engineering, framework orchestration, or integrating developer-focused AI tools.Independent Execution: Proven track record of operating independently to solve architectural problems with minimal hand-holding.Communication: Exceptional verbal and written English communicationPay Range: $80 - 95/hr basis experience, location and other factors

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4477670980

Employment:

Full-time

Salary:

$80 per hour

City:

Jersey City

Job Origin:

APPCAST_CPC

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Lead MLSecOps EngineerJersey City, NJ - (Hybrid schedule 3 days in office)Contract to Hire About the RoleWe are looking for a heavy-hitting, hands-on Lead Software Engineer with a strong hybrid background in Backend Python Development and DevOps Automation.Key ResponsibilitiesBuild & Scale: Drive the engineering, feature development, and architectural scaling of our core internal AI Security Platform from its current early phase to enterprise maturity.Pipeline Integration: Standardize and secure the deployment of containerized AI applications and infrastructure across the software development life cycle.GenAI & Agent Governance: Implement controls, orchestrations, and integration patterns around LLMs and autonomous AI coding assistants (such as GitHub Copilot and Claude) used across the enterprise.End-to-End Ownership: Take full technical ownership of features—from brainstorming solutions and prototyping to production deployment and defending architectural choices to leadership.Cross-Functional Communication: Collaborate closely with engineering teams to clearly explain, document, and present technical concepts, security strategies, and platform capabilities.Required Technical Stack & ExperienceCore Software Engineering: 8+ years of total IT experience, with a minimum of 5+ years in dedicated, hands-on software development roles prioritizing clean backend programming.Primary Language: Professional mastery of Python (building modular services, tools, or automation frameworks).DevOps Environment: Heavy production experience orchestrating continuous integration and container delivery environments using Jenkins, Docker, and Kubernetes (K8s).GenAI / LLM Engineering: Hands-on exposure to Generative AI projects within the past year. Deep familiarity with LLM APIs, prompt engineering, framework orchestration, or integrating developer-focused AI tools.Independent Execution: Proven track record of operating independently to solve architectural problems with minimal hand-holding.Communication: Exceptional verbal and written English communicationPay Range: $80 - 95/hr basis experience, location and other factors

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