Job Summary
This hybrid AI Site Reliability Engineer role focuses on maintaining resilient AI enabled services hosted on Azure supporting .Net based applications for an MNC technology environment. The role involves monitoring reliability automating routine tasks and improving performance for scalable cloud solutions that may support finance related workloads. Contributions will enhance service stability customer trust and societal value through reliable digital experiences.
Responsibilities
- Monitor cloud hosted AI and application services in Azure to identify reliability risks and respond to incidents promptly ensuring stable performance for internal teams and external customers.
- Assist in maintaining .Net application services by supporting deployment pipelines basic configuration checks and simple troubleshooting steps that help reduce service interruptions.
- Implement small but effective automation tasks for routine operational activities in Azure such as log collection and health checks enabling faster issue detection and consistent service quality.
- Collaborate with senior engineers to analyze system logs and performance metrics providing clear observations that support root cause analysis and long term reliability improvements.
- Support incident response activities by documenting events following runbooks and tracking action items so that services recover quickly with minimal business impact.
- Contribute to capacity and performance reviews for AI and .Net based services by summarizing resource utilization trends helping the team plan for growth and avoid performance bottlenecks.
- Participate in code deployment and configuration rollout activities within Azure environments under guidance focusing on accuracy and validation steps that keep services available and compliant.
- Engage with cross functional teams such as development operations and business stakeholders to share reliability insights that influence roadmap decisions and user satisfaction.
- Apply foundational security and compliance practices in daily operations including access hygiene and environment checks so that cloud services remain trustworthy for finance oriented solutions.
- Document procedures checklists and service behaviors in a clear and structured way enabling other team members to reuse knowledge and streamline future troubleshooting.
- Contribute to continuous improvement initiatives by suggesting small enhancements to monitoring dashboards alert rules and operational workflows that incrementally raise system reliability.
- Support testing of failover scenarios and backup verification activities so that critical services can withstand disruptions and continue to deliver stable outcomes for customers and communities.
- Participate in learning activities on Azure AI reliability engineering and observability tools to steadily enhance skills and provide more effective support for production environments.
Qualifications
- Understand core Azure services such as compute storage networking and monitoring tools and apply this knowledge to support stable and efficient cloud operations.
- Apply basic .Net development fundamentals including debugging simple issues and reading code flows helping the team connect application behavior with infrastructure events.
- Demonstrate awareness of finance related business processes at a conceptual level allowing better appreciation of reliability requirements and the criticality of accurate timely services.
- Use scripting or basic programming abilities to automate routine operational checks and reporting tasks supporting more consistent and scalable site reliability practices.
- Communicate clearly with technical and nontechnical partners about incidents risks and remediation steps contributing to transparent and effective collaboration.
- Show readiness to follow structured runbooks standard operating procedures and compliance guidelines that govern cloud operations in a large multinational organization.
- Exhibit problem solving mindset and willingness to learn from senior reliability and cloud engineers ensuring steady growth from entry level experience to more advanced responsibilities.
Certifications Required
Preferred certifications include Microsoft Certified Azure Fundamentals and Microsoft Certified Azure Administrator Associate.
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.