ML/DevOps Engineer

Equiti Group; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Equiti Group is seeking a ML/DevOps Engineer specializing in cybersecurity to design, automate, and maintain secure CI/CD pipelines and cloud infrastructure. You will drive DevSecOps practices across AWS/Azure/GCP, IAM, network segmentation, and encryption, while enabling rapid, compliant software delivery.

The role requires 5+ years in DevOps/SRE with security responsibilities, strong scripting, IaC, and container orchestration (Docker/Kubernetes).

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 5+ years in DevOps, SRE, or Cloud Engineering with security responsibilities.
• Hands-on with at least one major cloud platform (AWS preferred).
• Proficiency in IaC tools and CI/CD platforms.
• Strong scripting (Python, Bash, or Go) for automation.
• Deep understanding of networking, containerization (Docker), and orchestration (Kubernetes).
• Experience with vulnerability scanning, secrets management, and identity & access management.
• Familiarity with log aggregation, metrics, and alerting stacks (ELK, Prometheus, Grafana).
• Excellent analytical, problem-solving, and communication skills; ability to work independently and collaboratively.

Responsibilities

• Design & Automate: Build and manage scalable, secure CI/CD pipelines and infrastructure-as-code.
• Secure Cloud Infrastructure: Implement security controls across AWS/Azure/GCP environments, including IAM, network segmentation, and encryption.
• AI/ML Tooling: Familiarity with model servers, vector databases, GPU monitoring, and agent orchestration.
• Container & Orchestration Security: Harden Docker images, manage Kubernetes security policies, and integrate container-scanning tools.
• Continuous Monitoring: Deploy observability solutions, respond to alerts, and conduct root-cause analysis.
• Threat Modeling & Risk Assessment: Evaluate changes for vulnerabilities and mitigation.
• Compliance & Governance: Align with SOC 2, ISO 27001, HIPAA; provide audit evidence; manage model registries and access controls.
• Incident Response: Partner with security and engineering teams on detection, triage, and post-mortems.
• Collaboration & Enablement: Coach development teams on secure coding and deployment.
• Continuous Improvement: Stay current with DevOps and security trends; drive tool/process enhancements.

Skills

DevOps experience

SRE / Cloud engineering

Automation scripting

Independent work

Strong communication

Education

Bachelor's degree in CS/IT

Tools

Docker

Kubernetes

Terraform

CloudFormation

CI/CD platforms

Job description

Summary

Description

Purpose of Role:

As a ML/DevOps Engineer specializing in cyber security, you will be responsible for architecting, automating, and maintaining secure CI/CD pipelines and cloud infrastructure. You will act as a subject-matter expert on secureML/DevOps (DevSecOps) practices, ensuring infrastructure resilience, compliance, and rapid delivery of high-quality software.

Essential Responsibilities:

• Design & Automate: Build and manage scalable, secure CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI) and infrastructure-as-code (Terraform, CloudFormation, Ansible).

• Secure Cloud Infrastructure: Implement and maintain security controls across AWS (or Azure/GCP) environments, including IAM, network segmentation, and encryption in transit/at rest.

• AI/ML Tooling: Familiarity with model servers, vector databases, GPU monitoring (DCGM), and agent orchestration

• Container & Orchestration Security: Harden Docker images, manage Kubernetes security policies, and integrate container-scanning tools.

• Continuous Monitoring: Deploy observability solutions to track system health, performance, and security posture; respond to alerts and conduct root-cause analysis.

• Threat Modeling & Risk Assessment: Evaluate infrastructure changes for potential vulnerabilities and recommend mitigation measures.

• Compliance & Governance: Align infrastructure and processes with SOC 2, ISO 27001, HIPAA, and other relevant standards; generate required evidence for audits. Handle model registries (MLflow, HuggingFace/NGC mirrors), vulnerability scanning supply-chain hygiene, and role-based access for AI coding tools or agentic wrappers

• Incident Response: Partner with security and engineering teams on incident detection, triage, and post-mortem analysis.

• Collaboration & Enablement: Coach development teams on secure coding and deployment practices; advocate for DevSecOps culture across the organization.

• Continuous Improvement: Stay current with emerging DevOps and security trends, recommending and implementing tool and process enhancements.

Knowledge, Skills and Abilities:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5+ years in DevOps, Site Reliability Engineering, or Cloud Engineering with demonstrable security responsibilities.
• Hands-on experience with at least one major cloud platform (AWS preferred).
• Proficiency in infrastructure-as-code tools (Terraform, CloudFormation) and CI/CD platforms.
• Strong scripting skills (Python, Bash, or Go) for automation.
• Deep understanding of networking, containerization (Docker), and orchestration (Kubernetes/EKS).
• Experience with vulnerability scanning, secrets management, and identity & access management.
• Familiarity with log aggregation, metrics, and alerting stacks (e.g., ELK, Prometheus, Grafana).
• Excellent analytical, problem-solving, and communication skills; ability to work independently and collaboratively.

Preferred

• Certifications such as AWS Certified DevOps Engineer, CKA, or CISSP.
• Experience with security platforms (Aqua, Prisma Cloud, Snyk, or similar).
• Knowledge of zero-trust architectures and secure SDLC frameworks.
• Familiarity with compliance frameworks in regulated industries (healthcare, finance).
• Experience with infrastructure cost-optimization and FinOps practices.

Relevant Working Conditions/Physical Demands:

• Sitting/Stationary: Often requires sitting at a desk and looking at a computer screen for 70% - 90% of the workday.
• Fine Finger Dexterity: High use of keyboards, computer mice, and standard office equipment.
• Lifting/Moving: Minimal physical exertion; occasionally required to lift or carry office supplies, files, or packages weighing up to 30 lbs.
• Mobility: Intermittent standing, walking, and bending or stooping to retrieve files.

Equiti is an Equal Opportunity Employer Committed to creating a diverse and inclusive company culture. We do not discriminate against candidates and employees due to age, disability, sex, race, gender identity, sexual orientation, religion, national origin, veteran status, or any other protected status under the law.

The Company is committed to making modifications to its hiring process to make it accessible for people with disabilities.