DevOps & Platform Engineer (AWS / CI/CD)

Job Description

Agilent’s CrossLab Connect team is seeking an expert-level DevOps Software Engineer to design, build, and optimize CI/CD pipelines, cloud infrastructure, and deployment automation across a hybrid cloud and on-premise ecosystem.

This role combines DevOps engineering, cloud architecture, and software development, requiring strong experience in automation, scripting, and full-stack engineering support. The position supports critical delivery pipelines and helps scale engineering capabilities by consolidating responsibility for CI/CD and DevOps operations, while also contributing to application development when needed.

Key Responsibilities

Design, build, and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, and GitHub Enterprise

Develop and manage Infrastructure as Code (IaC) using AWS-native tools and automation frameworks

Build and optimize cloud-native deployment pipelines on AWS (EC2, S3, Lambda, ECS/EKS)

Develop and maintain containerized applications using Docker and Kubernetes orchestration

Implement automation scripts using Bash, PowerShell, and Python

Support continuous integration, continuous delivery, and continuous deployment (CI/CD) best practices

Improve build automation, release engineering, and software delivery lifecycle (SDLC) processes

Implement monitoring, observability, and alerting using tools such as Sentry, New Relic

Collaborate with Site Reliability Engineering (SRE) on system reliability, scalability, and performance optimization

Manage multi-tenant distributed systems and microservices architectures

Support database operations (SQL and NoSQL), including performance tuning, migrations, and data lifecycle management

Contribute to application development using modern programming languages and frameworks

Support API development, testing, and integration using tools such as Postman and curl

Qualifications

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

8+ years of experience in:

DevOps engineering

Cloud architecture

Software development

Strong hands-on experience with:

CI/CD tools: Jenkins, GitLab, GitHub Actions

Cloud platforms: AWS (preferred)

Containerization: Docker, Kubernetes

Version control: Git

Strong programming and scripting experience in:

C# / .NET

JavaScript / TypeScript

Python

Bash / Shell scripting

PowerShell

Experience with:

Infrastructure as Code (IaC) (CloudFormation, Terraform preferred)

Microservices and distributed systems

REST APIs and API integrations

Knowledge of:

Monitoring & observability tools (New Relic, Sentry)

SSO / Identity management (Okta)

Strong understanding of:

Software development lifecycle (SDLC)

DevOps best practices and automation frameworks

Ability to work effectively in globally distributed Agile teams

Preferred Qualifications

Experience with:

.NET Core / ASP.NET

Frontend frameworks (React, Angular, or similar)

Ruby on Rails

Familiarity with:

Event-driven architecture (Kafka, messaging systems)

NoSQL databases (MongoDB, DynamoDB)

Experience working in enterprise SaaS or cloud platform environments

Exposure to security best practices, DevSecOps, and container security

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least June 8, 2026 or until the job is no longer posted.

The full-time equivalent pay range for this position is $143,760.00 - $224,625.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Travel Required:

Occasional

Shift:

Day

Duration:

No End Date

Job Function:

R&D