Senior Cloud DevOps Engineer: AWS, Kubernetes & CI/CD

Machine Learning Technologies, LLC; Newark (NJ); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Machine Learning Technologies, LLC is seeking an experienced Senior DevOps Engineer to design, build, and manage cloud infrastructure, automation, and CI/CD pipelines. The role emphasizes AWS, Kubernetes, Docker, IaC, and DevOps automation.

The ideal candidate will own scalable deployments, implement monitoring with Prometheus, Grafana, and ELK, and work closely with development, QA, and security teams to ensure secure, reliable releases across environments.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

AWS cloud services

CI/CD engineering

Linux administration

Python / Bash scripting

Networking concepts

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins

GitLab CI/CD

GitHub Actions

Jobbeschreibung

Machine Learning Technologies, LLC is seeking an experienced Senior DevOps Engineer to design, build, and manage cloud infrastructure, automation, and CI/CD pipelines. The role emphasizes AWS, Kubernetes, Docker, IaC, and DevOps automation.

The ideal candidate will own scalable deployments, implement monitoring with Prometheus, Grafana, and ELK, and work closely with development, QA, and security teams to ensure secure, reliable releases across environments.