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 savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
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.
