Devops Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Newark (NJ); On-site; USD 86,000 - 123,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Newark, NJ is seeking a Senior DevOps Engineer with 7-8 years of experience to design, implement, and manage cloud infrastructure, automation, and CI/CD pipelines.

The ideal candidate will have strong expertise in AWS, Kubernetes, Docker, Infrastructure as Code, and DevOps automation practices, and will collaborate with multiple teams to optimize performance and security.

Qualifications

• 7-8 years of DevOps, Cloud Engineering, or Infrastructure Automation experience.
• Strong hands-on AWS (EC2, S3, VPC, IAM, EKS, RDS) and container tech.
• Proficiency with Terraform and Ansible for IaC.
• Experience with CI/CD tools (Jenkins, GitLab CI/CD, GitHub Actions).
• Linux administration, scripting (Python, Bash, YAML).

Responsibilities

• Design, implement, and maintain scalable AWS-based cloud infrastructure.
• Build/maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
• Automate provisioning with Terraform and Ansible.
• Deploy and manage Docker/Kubernetes workloads.
• Monitor performance, reliability, and security; ensure compliance.

Tools

AWS

Docker

Kubernetes

Terraform

Ansible

Jenkins

GitLab CI/CD

GitHub Actions

Linux

Python

Bash

YAML

Networking

Prometheus

Grafana

ELK

Helm

ArgoCD

Job description

Job Description

Job Details

Job ID: J54171

Job Title: Devops Engineer

Location: Newark, NJ

Duration: 10 Months + Extension

Domain Exposure: Consumer Discretionary

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Bill Rate: $76/hour (C2C)

Job Summary

We are seeking an experienced Senior DevOps Engineer with 7-8 years of experience in designing, implementing, and managing cloud infrastructure, automation, and CI/CD pipelines. The ideal candidate should have strong expertise in AWS, Kubernetes, Docker, Infrastructure as Code, and DevOps automation practices.

Key Responsibilities

• Design, implement, and maintain scalable cloud infrastructure on AWS.
• Build and manage CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
• Automate infrastructure provisioning using Terraform and Ansible.
• Deploy, manage, and troubleshoot containerized applications using Docker and Kubernetes.
• Monitor system performance, availability, and reliability.
• Implement infrastructure security, access controls, and compliance standards.
• Manage Linux-based environments and troubleshoot production issues.
• Work closely with development, QA, and security teams to streamline deployments.
• Implement logging and monitoring solutions using Prometheus, Grafana, and ELK Stack.
• Optimize cloud infrastructure for performance, scalability, and cost efficiency.
• Support production releases, incident management, and disaster recovery processes.

Required Technical Skills

• 7-8 years of experience in DevOps, Cloud Engineering, or Infrastructure Automation.
• Strong hands-on experience with AWS services (EC2, S3, VPC, IAM, EKS, RDS).
• Expertise in Docker and Kubernetes.
• Experience with Terraform and Ansible.
• Strong knowledge of Jenkins, GitLab CI/CD, or GitHub Actions.
• Good understanding of Linux administration and shell scripting.
• Programming/scripting experience with Python, Bash, or YAML.
• Experience with Git and version control systems.
• Knowledge of networking concepts, DNS, load balancing, and firewalls.
• Experience with monitoring tools such as Prometheus, Grafana, and ELK.
• Understanding of security best practices and cloud infrastructure management.

Preferred Skills

• Experience with Azure or Google Cloud Platform.
• Knowledge of Helm and ArgoCD.
• Experience with Infrastructure as Code and GitOps practices.
• Familiarity with SonarQube and vulnerability scanning tools.
• Experience with microservices and distributed systems.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.