DevSecOps Engineer
As part of the DevOps team, you will be responsible for building, maintaining, and optimizing the infrastructure and deployment processes that enable fast, secure, and reliable software delivery. Your responsibilities include:
CI/CD Pipeline Management: Collaborate on the design, implementation, and maintenance of CI/CD pipelines to improve deployment velocity and system reliability.
Infrastructure as Code (IaC): Contribute to IaC initiatives using tools such as Terraform, Terragrunt, or Ansible to provision and manage infrastructure efficiently and consistently.
Observability & Monitoring: Work with the DevOps/Infrastructure team to ensure application and system observability through metrics, logs, and distributed tracing using tools like Dynatrace, Prometheus, Grafana, and OpenTelemetry.
Platform Reliability: Participate in platform reliability efforts, including setting up monitoring and alerting systems, conducting automated testing, and tuning performance.
DevSecOps Integration: Help drive the adoption of DevSecOps practices, integrating security into CI/CD pipelines and ensuring infrastructure and application compliance.
Automation & Scripting: Develop and maintain scripts and automation tools to streamline infrastructure provisioning, build processes, and application deployments.
Cloud & Environment Management: Work with cloud and hosting providers to set up, configure, and manage application environments and deployment pipelines.
Resource Management: Provision and manage infrastructure resources such as servers, virtual machines, containers, and related services to support development and operations teams.
Continuous Integration/Delivery: Promote and implement continuous integration and delivery best practices to improve development workflows and deployment efficiency.
Must-Have Skills
Education & Experience: Degree in Computer Science, Information Systems, Computer Engineering, or equivalent hands-on experience in a related field.
DevOps & Cloud Expertise: Strong understanding of DevOps methodologies, Agile development practices, and cloud technologies (preferably AWS).
CI/CD Tools: Practical experience with CI/CD tools and pipelines using platforms such as GitLab CI/CD.
Infrastructure as Code (IaC): Proficiency in tools like Terraform, Terragrunt, or Ansible to automate infrastructure provisioning and management.
Containerization & Orchestration: Hands-on experience with Docker and Kubernetes for building, managing, and orchestrating containerized applications.
System Administration: Proficient in administering both Linux and Windows systems, including patching, performance tuning, and troubleshooting.
Web & Application Servers: Experience managing and deploying applications on JBoss and Apache servers.
Middleware & Messaging: Experience configuring and managing RabbitMQ or similar messaging systems.
Cloud & Virtualization: Familiarity with Amazon Web Services (AWS) and virtualization technologies like VMware.
Networking Fundamentals: Solid understanding of networking concepts (e.g., TCP/IP, DNS, load balancing, firewalls, VPNs, subnets) as they relate to cloud and on-prem environments.
Programming & Scripting: Exposure to backend technologies such as Java, and scripting skills (e.g., Bash, Python) for automation.
Monitoring & Observability: Familiar with observability tools (e.g., Prometheus, Grafana, OpenTelemetry, Dynatrace) for metrics, logging, and tracing.
Problem-Solving: Excellent analytical and troubleshooting skills across infrastructure, networks, and deployment pipelines.
Good-to-Have Skills
Architecture & Design: Experience designing infrastructure and automation solutions for complex and scalable applications.
Certifications: Relevant industry certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator etc).
Collaboration: Strong communication and interpersonal skills to work effectively with developers, testers, and operations teams.
Enterprise Experience: Background working in large software teams or enterprise IT environments.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
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