Lead MLSecOps Engineer
Confidential · Jersey City, New Jersey, United States
FULL TIMEcontract
Job Description
Lead MLSecOps EngineerJersey City, NJ - (Hybrid schedule 3 days in office)Contract to Hire
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
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. xzbcwsv Independent Execution: Proven track record of operating independently to solve architectural problems with minimal hand-holding.Communication: Exceptional verbal and written English communication
Pay Range: $80 - 95/hr basis experience, location and other factors
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
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. xzbcwsv Independent Execution: Proven track record of operating independently to solve architectural problems with minimal hand-holding.Communication: Exceptional verbal and written English communication
Pay Range: $80 - 95/hr basis experience, location and other factors
Details
| Company | Confidential |
| Location | Jersey City, New Jersey, United States |
| Type | FULL TIME |
| Niche | tech |
| Experience | contract |