Principle DevOps Engineer (Azure Infrastructure)

Principle DevOps Engineer (Azure Infrastructure)

Northeastern University

Candidates must be onsite week 1 in Boston, MA

Candidates need to be living near MA and be able to be onsite day 1 when they start.

Title:

Principle DevOps Engineer

Location:

Boston, MA 02115 -they are by the Christian Science Plaza and Library. Parking is not available and comes at a monthly cost direct to contractor.

Reports to:

Associate VP Infrastructure

Start:

ASAP

Duration:

9 months

Interview Process:

They are doing MS Teams video interviews

Background Check (if applicable):

Yes-criminal

Hours / Shift:

EST 8:30-5 pm full time (40 hours)

Note:

This role is hybrid, with 3 days onsite in Boston, MA expected- they really should have primary local residence

Principal DevOps Engineer

Key Responsibilities:

DevOps Strategy & Automation:

Define and implement

DevOps strategies

to streamline

infrastructure provisioning, application deployment, and operational management .
Automate infrastructure deployment using

Terraform, Bicep, ARM templates, and Ansible .
Design and manage

CI/CD pipelines

using

GitHub Actions, Azure DevOps, or Jenkins

to enable efficient and secure software releases.
Implement

policy-based governance and automation

using

Azure Policy, Azure Blueprints, and security baselines .
Infrastructure as Code & Cloud Governance:

Lead

Infrastructure as Code (IaC)

adoption for managing on-prem and Azure cloud resources in a

repeatable and scalable

manner.
Enforce

configuration management

using

Ansible, Chef, or DSC (Desired State Configuration) .
Establish best practices for

GitOps workflows, version control, and branching strategies .
Cloud Security & Compliance:

Ensure

security best practices

are embedded into

CI/CD pipelines, infrastructure automation, and cloud workloads .
Implement

Identity and Access Management (IAM), Role-Based Access Control (RBAC), and Zero Trust security models .
Integrate

DevSecOps principles

to enhance

vulnerability scanning, compliance monitoring, and automated security testing .
Containerization & Kubernetes:

Design and manage

containerized environments

using

Docker and Kubernetes (AKS) .
Implement

container orchestration, scaling, and monitoring strategies

for

high-performance applications .
Define

best practices

for

microservices deployment and service mesh architectures .
Monitoring & Incident Response:

Implement and optimize

observability tools

such as

Azure Monitor, Application Insights, Log Analytics, and Prometheus/Grafana .
Develop

automated alerting and remediation

for

infrastructure and application performance

issues.
Establish

incident response and disaster recovery

processes in cloud-native environments.
Required Qualifications:

Experience:

Minimum

7+ years

of experience in

DevOps, cloud automation, and CI/CD pipeline management , with a focus on

Azure .
CI/CD & Automation:

Strong expertise in

Azure DevOps, GitHub Actions, Terraform, Bicep, ARM templates, and Ansible .
Cloud Security & IAM:

Experience implementing

Zero Trust security, RBAC, Azure Active Directory (AAD), and DevSecOps

best practices.
Containerization & Kubernetes:

Expertise in

Docker, Kubernetes (AKS), Helm charts, and service mesh architectures .
Monitoring & Performance:

Hands-on experience with

Azure Monitor, Log Analytics, Application Insights, and Prometheus .
Scripting & Development:

Strong scripting skills in

PowerShell, Python, or Bash

for automation.
Infrastructure as Code:

Deep knowledge of

Terraform, Bicep, and ARM templates

for cloud infrastructure automation.
Certifications:

Microsoft Certified: DevOps Engineer Expert (AZ-400)

- Required.
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)

- Preferred.
Certified Kubernetes Administrator (CKA)

- Preferred.

Preferred Qualifications:

Experience working in

multi-cloud environments (Azure & AWS) .
Knowledge of

serverless computing (Azure Functions, Logic Apps, and Event Grid) .
Familiarity with

FinOps methodologies and cloud cost optimization best practices .