Dev Ops Enginner/System Engineer

Cognizant; Departamento Famaillá, Buenos Aires; Presencial; ARS 181.190.000 - 271.784.000; Jornada completa

Descripción de la vacante

Cognizant seeks a seasoned DevOps Engineering Lead to shape the design, implementation, and evolution of enterprise DevOps platforms, cloud infra, and automation frameworks for critical pharmaceutical research applications.

You will collaborate with product teams, scientists, data engineers, and security/compliance teams to deliver secure, scalable solutions across hybrid environments. Strong leadership and deep cloud/DevOps expertise are essential.

Formación

• Bachelor's or Master's degree in CS/IT/Engineering or related field.
• 15+ years in IT engineering with DevOps, cloud infra, and leadership.
• Experience designing and managing enterprise CI/CD platforms.
• Hands-on with IaC (Terraform) and cloud platforms (AWS/Azure/OCI).
• Proven Docker and Kubernetes expertise with deployment automation.
• Strong scripting (Python, Bash, PowerShell) and Linux fundamentals.
• Ability to communicate technical risks to diverse audiences.

Responsabilidades

• Lead DevOps strategy and platform architecture across cloud/hybrid environments.
• Design, implement, and optimize CI/CD pipelines for apps, APIs, databases, and infra.
• Develop IaC solutions using Terraform to improve scalability and consistency.
• Drive containerization and orchestration with Docker and Kubernetes for reliability and security.
• Establish observability, DevSecOps, release governance, and operational excellence.

Conocimientos

DevOps leadership

CI/CD strategy

Cloud architecture

SRE practices

Observability

Automation

Linux administration

Scripting

Cross-functional collaboration

Security awareness

Educación

Bachelor's or Master's in CS/IT/Engineering

Herramientas

Terraform

Docker

Kubernetes

GitHub Actions

Azure DevOps

GitLab CI

Jenkins

Descripción del empleo

DevOps Engineering Lead

About the role

As a DevOps Engineering Lead, you will make an impact by leading the design, implementation, and evolution of enterprise DevOps platforms, cloud infrastructure, and automation frameworks that support critical pharmaceutical early discovery research applications. You will be a valued member of the engineering organization and collaborate closely with product teams, scientific stakeholders, application developers, data engineers, quality assurance teams, cybersecurity teams, infrastructure teams, and business leaders to deliver secure, scalable, and reliable technology solutions.

In this role, you will:

• Lead DevOps strategy, platform architecture, automation standards, and technical roadmaps across cloud and hybrid environments.
• Design, implement, and optimize CI/CD pipelines for applications, APIs, databases, data platforms, and infrastructure deployments.
• Develop Infrastructure as Code (IaC) solutions using Terraform and cloud-native technologies to improve scalability, consistency, and operational efficiency.
• Drive containerization and orchestration initiatives using Docker and Kubernetes while ensuring platform reliability, security, and performance.
• Establish observability, DevSecOps, release governance, and operational excellence practices that support business-critical research and data platforms.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position may be onsite, hybrid, or remote depending on project and client needs. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 15+ years of experience in IT engineering, including significant experience in DevOps, cloud infrastructure, platform engineering, and technical leadership.
• Strong expertise designing and managing enterprise CI/CD platforms using GitHub Actions, Azure DevOps, GitLab CI, Jenkins, or similar technologies.
• Hands-on experience with Infrastructure as Code, particularly Terraform, and cloud platforms such as AWS, Azure, or Oracle Cloud Infrastructure.
• Proven experience with Docker, Kubernetes, container orchestration, deployment automation, and cloud-native platform operations.
• Strong scripting and automation skills using Python, Bash, PowerShell, or similar languages.
• Deep understanding of Linux administration, networking, identity and access management, security controls, and production operations.
• Experience implementing observability solutions including monitoring, logging, alerting, dashboards, and service health reporting.
• Demonstrated success leading large-scale modernization initiatives, cloud migrations, DevOps transformations, or platform engineering programs.
• Ability to collaborate with cross-functional stakeholders and communicate technical recommendations, risks, and trade-offs to both technical and business audiences.

These will help you stand out

• Experience supporting pharmaceutical, biotechnology, life sciences, laboratory informatics, or scientific research environments.
• Knowledge of laboratory platforms such as ELN, LIMS, SDMS, bioinformatics, scientific data platforms, or research analytics solutions.
• Experience with DevSecOps practices, security automation, vulnerability management, and compliance-driven environments.
• Exposure to AI/ML platforms, MLOps, scientific workflows, high-volume data processing, or large-scale analytics ecosystems.
• Knowledge of GxP, computer system validation, electronic records, data integrity, audit readiness, and regulated environments.
• Industry certifications in AWS, Azure, Kubernetes, Terraform, Security, Site Reliability Engineering (SRE), Agile, or ITIL frameworks.
• Experience implementing FinOps practices and cloud cost optimization strategies.