DevOps Engineer (Contract to Hire)- Only USC or GreenCard

André; Princeton (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

André in Princeton is seeking a DevOps Engineer to enhance software delivery and infrastructure operations. This position involves designing and maintaining scalable infrastructure and CI/CD pipelines. The ideal candidate will have 3-6+ years of experience in DevOps, with expertise in cloud platforms like AWS and Azure, and will be proficient in Automation, Docker, Kubernetes, and Terraform. The role emphasizes collaboration with development teams to improve processes and increase efficiency.

Qualifications

• 3 to 6+ years experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering.
• Experience operating production Kubernetes clusters.
• Hands-on experience with Azure and AWS.

Responsibilities

• Design, deploy, and maintain cloud-native infrastructure using IaC practices.
• Support containerized workloads using Docker and Kubernetes.
• Build and maintain CI/CD pipelines to automate workflows.

Skills

DevOps practices

Cloud services

Automation

Continuous Improvement

Monitoring

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Jenkins

Azure DevOps

Ansible

Prometheus

Grafana

ELK / OpenSearch

Git

Job description

We are seeking a DevOps Engineer to strengthen our software delivery and infrastructure operations capability. This role is responsible for designing, implementing, and maintaining scalable infrastructure, automation frameworks, and CI/CD pipelines that enable engineering teams to deliver secure and reliable software at speed. The ideal candidate operates comfortably at the intersection of software engineering, cloud infrastructure, and operational reliability, with a strong focus on automation, observability, and continuous improvement.

Key Responsibilities

Infrastructure & Platform Engineering

• Design, deploy, and maintain cloud-native infrastructure using Infrastructure as Code (IaC) practices.
• Manage and optimize environments across development, staging, and production.
• Implement high availability, scalability, and fault tolerance in platform architecture.
• Support containerized workloads using Docker and Kubernetes.

CI/CD & Automation

• Build and maintain CI/CD pipelines to automate build, testing, and deployment workflows.
• Integrate security, testing, and compliance controls into the pipeline (DevSecOps practices).
• Reduce manual operational work through automation and scripting.

Monitoring & Reliability

• Implement monitoring, alerting, and observability solutions.
• Maintain platform reliability through incident response, root cause analysis, and continuous improvement.
• Define and track SLOs, SLIs, and operational KPIs.

Collaboration & Engineering Enablement

• Work closely with development teams to optimize deployment pipelines and runtime environments.
• Support developers in adopting cloud-native and containerization best practices.
• Contribute to internal documentation and knowledge sharing.

Required Qualifications

Education

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.

Experience

• 3 to 6+ years experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering.

Technical Skills

Cloud Platforms

• Azure and AWS

Infrastructure as Code

• Terraform

Containers & Orchestration

• Docker
• Kubernetes
• Experience operating production Kubernetes clusters

CI/CD Platforms

• Jenkins
• Argo CD
• Azure DevOps

Configuration Management

• Ansible

Monitoring & Observability

• Prometheus
• Grafana
• ELK / OpenSearch
• Datadog or similar tools

Scripting & Development

• Python
• Bash

Version Control

• Git and Git-based workflows

Preferred Qualifications

• Experience implementing DevSecOps pipelines
• Knowledge of zero-trust security models

Soft Skills

• Strong analytical and problem-solving capability
• Clear communication across engineering and operations teams
• Ability to operate in high-availability production environments
• Continuous learning mindset

Success Metrics

Performance In This Role Will Typically Be Measured By

• Reduced infrastructure incidents and downtime
• Increased automation coverage
• Improved developer productivity and release velocity

Typical Tech Stack

• Cloud: AWS / Azure
• Containers: Docker, Kubernetes
• IaC: Terraform
• CI/CD: Jenkins, Argo CD
• Monitoring: Prometheus, Grafana
• Logging: ELK Stack and Loki
• Languages: Python, Bash