Entwicklung von Backend-Applikationen im Cloud-Umfeld mit Fokus Kotlin/Java, ergänzt durch Frontend (Vue.js, React, Angular) oder Infrastruktur/CloudOps (Terraform, Kubernetes, CI/CD), wobei Agentic Coding methodisch eingesetzt wird.
Responsibilities
Entwicklung selbstständiger Backend-Applikationen im Cloud-Umfeld
Sicherstellung der Applikationsqualität durch Unit-, Integrations- und E2E-Tests
Identifizierung von Verbesserungspotenzialen im Code und konstruktives Feedback geben und annehmen
Übernahme von Verantwortung und nachvollziehbare technische Entscheidungsfindung und Dokumentation
Senior Data Engineer responsible for designing, developing, and maintaining data pipelines and processes, leveraging AI and automation to improve quality and efficiency.
Locations (2)
Lille, Hauts-de-France, France
Paris, Île-de-France, France
Responsibilities
Accompagner les équipes métier dans le développement et le maintien de leurs cas d’usage data, de l’expression du besoin à la mise en production et au suivi dans la durée.
Veiller au respect des bonnes pratiques de data engineering et de gouvernance de la donnée (qualité, documentation, traçabilité, sécurité).
Améliorer en continu les processus data en y intégrant des automatisations s’appuyant sur l’IA.
Concevoir, développer et maintenir des pipelines de données fiables et industrialisés sur notre stack (Python, Spark, dbt, Airflow, Microsoft Fabric, ClickHouse).
Partager ses connaissances et accompagner les profils moins expérimentés de l’équipe (revues de code, retours d’expérience).
The Senior Cloud Engineer is a technical leader within the Cloud Engineering organization, responsible for designing, building, and evolving secure, scalable, and highly automated cloud platforms across a multi-cloud environment.
Locations (2)
New York City, New York, United States
Florida, United States
Compensation
The annual base salary for this position ranges from $99,200.00 to $165,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Design, implement, and evolve cloud infrastructure across AWS, Azure, and/or GCP, aligning with enterprise architecture principles and security standards.
Lead the development and maintenance of Infrastructure as Code using Terraform, OpenTofu, or similar tools, ensuring consistency, scalability, and reusability.
Own and enhance reusable cloud modules, patterns, and reference architectures used across the organization.
Partner with architects and senior stakeholders to define secure, resilient, and cost‑efficient cloud designs.
The Senior Cloud Engineer is a technical leader within the Cloud Engineering organization, responsible for designing, building, and evolving secure, scalable, and highly automated cloud platforms across a multi-cloud environment.
Compensation
The annual base salary for this position ranges from $99,200.00 to $165,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Design, implement, and evolve cloud infrastructure across AWS, Azure, and/or GCP
Lead the development and maintenance of Infrastructure as Code using Terraform, OpenTofu, or similar tools
Own and enhance reusable cloud modules, patterns, and reference architectures
Partner with architects and senior stakeholders to define secure, resilient, and cost‑efficient cloud designs
Review and provide guidance on cloud designs and IaC contributions from other engineers
Requirements
Bachelor’s Degree in Computer Science, Engineering, IT, or equivalent practical experience
Experienced IT Automation Specialist to lead infrastructure automation initiatives across the enterprise environment, designing and implementing scalable automation solutions using Terraform, OpenTofu, Ansible, AWX/Tower, and advanced DevOps platforms.
Senior Linux Infrastructure Engineer responsible for maintaining, securing, and improving enterprise Linux infrastructure in a high-availability financial technology environment.
Responsibilities
Administer, maintain, secure, and troubleshoot enterprise Linux environments, primarily RHEL and Ubuntu.
Support physical servers, virtual machines, storage, networking, and Linux-based applications.
Manage operating system patching, upgrades, performance, capacity, and lifecycle management.
Administer Linux virtualization technologies, including KVM.
Maintain reliable, documented, and recoverable production infrastructure.
Assist with the implementation of DevOps & GitOps philosophies on cloud infrastructure and support development teams with CI/CD pipelines and infrastructure as code.
Responsibilities
Support the maintenance of Infrastructure as Code (IaC) solutions to automatically and declaratively provision and manage cloud resources.
Assist in maintaining CI/CD pipelines to automatically analyze, test, build and deploy microservices code to cloud environments.
Employ GitOps practices to declaratively create Kubernetes clusters, applications, and configurations in multiple environments.
Maintain and refine centralized monitoring strategy (logging, metrics, and alerting) for cloud resources.
Monitor workloads on Azure (Log Analytics, Application Insights, Grafana, Prometheus) and perform root cause analysis of technical issues in the deployed applications and infrastructure.
Requirements
Bachelor of Science in Computer Engineering, IT, IS or equivalent field. IT experience can substitute for a BS degree.
Design and implement Infrastructure as Code (IaC) solutions using Terraform and OpenTofu for cloud and on-premises infrastructure provisioning
Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and system patching across heterogeneous environments
Architect and optimize Ansible Tower/AWX implementations for enterprise-scale automation
Lead adoption of agentic AI capabilities to automate decision-making processes
Establish the best automation practices, standards, and frameworks; conduct code reviews for infrastructure automation projects