Azure DevOps Engineer

About the role

Job Description Vertex is seeking a hands-on Azure DevOps Engineer to build, automate, secure, and support Azure cloud platforms used by enterprise applications, data solutions, and AI-enabled capabilities. This is an individual-contributor role for an engineer who enjoys developing practical solutions, improving delivery pipelines, and resolving complex technical issues.

Working with software engineers, cloud architects, Information Security, and business stakeholders, this individual will implement DevSecOps practices, infrastructure as code, cloud automation, and reliable software delivery patterns. The ideal candidate combines strong Azure engineering skills, a security-focused mindset, and the ability to work independently in a collaborative environment. Key Duties and

Pay and benefits

Build, configure, and support secure, scalable Azure cloud infrastructure for enterprise applications, data platforms, and AI-enabled solutions. Build, enhance, and maintain CI/CD pipelines that improve software delivery speed, reliability, quality, and security.

Implement security controls within the software delivery lifecycle, including automated security scanning, policy enforcement, secrets management, and compliance monitoring. Develop and maintain infrastructure-as-code solutions using Terraform, Bicep, ARM templates, or comparable technologies.

Work with Information Security and architecture teams to implement identity, access, network security, vulnerability management, and cloud governance requirements. Support Microsoft Foundry, Azure AI, and related Azure services used to develop and deploy AI-powered applications and agents. Implement and improve reusable automation, deployment guardrails, and platform engineering patterns.

Configure monitoring, logging, alerting, and observability to improve platform reliability and performance. Troubleshoot cloud infrastructure, deployment, integration, and security issues, and perform root-cause analysis. Partner with software engineering teams to improve application deployment approaches and adopt cloud-native engineering practices.

Contribute to the evaluation and implementation of Azure and DevSecOps technologies that improve platform capabilities and reduce operational risk. Share technical knowledge and contribute to DevSecOps and cloud engineering best practices across teams. Knowledge and Skills: Strong hands-on experience with Microsoft Azure services and cloud operations.

Practical experience with Azure DevOps, GitHub Actions, Jenkins, or comparable CI/CD technologies. Hands-on experience with infrastructure as code, including Terraform, Bicep, ARM templates, or equivalent technologies. Working knowledge of cloud security principles, including identity and access management, privileged access, secrets management, encryption, network security, and vulnerability remediation.

Experience implementing automated security checks and controls within delivery pipelines. Experience with container technologies such as Docker and Kubernetes. Strong scripting and automation skills using PowerShell, Python, Bash, or similar languages. Experience with monitoring, observability, incident resolution, and platform reliability practices. Strong troubleshooting, problem-solving, and continuous-improvement skills.

Ability to communicate effectively and work collaboratively across engineering, security, architecture, and business teams. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and relevant experience.

5+ years of relevant hands-on experience in cloud engineering, DevOps, platform engineering, site reliability engineering, or a related technical discipline. Demonstrated hands-on experience building and supporting production workloads in Microsoft Azure. Experience building, maintaining, or improving CI/CD pipelines and cloud infrastructure. Experience implementing cloud security controls and DevSecOps practices.

Preferred Experience: Experience with Microsoft Foundry, Azure AI Services, Azure OpenAI, or related AI platform technologies. Experience supporting AI, machine learning, or generative AI platforms. Experience working in pharmaceutical, biotechnology, healthcare, or another regulated or security-conscious environment.

Microsoft Azure certification such as Azure Administrator, Azure DevOps Engineer, Azure Security Engineer, or a comparable credential. Experience contributing to shared engineering standards, reusable automation, or platform capabilities used by multiple teams. #LI-HYBRID At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends.

We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.

Pay Range: $112,000 - $168,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements.

Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations.

From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. #LI-Hybrid Company Information Vertex is a global biotechnology company that invests in scientific innovation.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at