As a Site Reliability Engineer (Azure Cloud), you will make an impact by ensuring the reliability, scalability, performance, and operational excellence of mission-critical, customer-facing applications running in a 24x7 environment. You will collaborate with development, infrastructure, and operations teams to build resilient cloud solutions, automate operational processes, strengthen observability practices, and drive continuous improvements that enhance system availability and customer experience.
In this Role, You Will
- Ensure the reliability, availability, and scalability of business-critical applications while supporting high-availability service objectives.
- Design and implement automation solutions that reduce manual effort, improve operational efficiency, and enhance system stability.
- Monitor, analyze, and optimize application and platform performance, proactively identifying and resolving issues before they impact customers.
- Lead incident response, problem management, and root cause analysis efforts, driving long-term corrective actions and resiliency improvements.
- Partner with development, infrastructure, and security teams to embed reliability, observability, and compliance practices throughout the software delivery lifecycle.
Work Model
We strive to provide flexibility wherever possible. Based on business and client requirements, this role may operate in a hybrid, remote, or office-based work model. Work arrangements will be discussed during the recruitment process and may vary based on project and client needs.
What You Need to Have to Be Considered
- Experience in Site Reliability Engineering (SRE), Application Support, Production Support, or a related role supporting enterprise applications.
- Strong Linux administration and troubleshooting skills in large-scale production environments.
- Experience supporting cloud-based environments, preferably Microsoft Azure.
- Strong scripting and automation skills using Python, Bash, or similar technologies.
- Understanding of enterprise technology environments, including networking, databases, messaging platforms, authentication, and access management concepts.
- Experience supporting microservices-based applications and distributed systems.
- Knowledge of web and internet technologies, including APIs, HTTP/HTTPS, encryption, and service communications.
- Experience participating in incident management, root cause analysis, and operational support activities.
- Strong analytical, communication, collaboration, and problem-solving skills.
- Passion for reliability, performance, scalability, automation, and continuous improvement.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent professional experience.
These Will Help You Stand Out
- Experience with observability and monitoring platforms such as Dynatrace, Datadog, Splunk, Prometheus, Grafana, or similar technologies.
- Experience working in highly regulated environments, including financial services organizations.
- Knowledge of security and compliance frameworks such as PCI DSS, NIST, CIS, or similar standards.
- Experience supporting high-volume, customer-facing applications with demanding availability requirements.
- Familiarity with cloud-native architectures and modern operational practices.
- Understanding of networking, performance engineering, and security best practices.
- Experience supporting fintech, banking, payments, or financial technology platforms.
Leadership Expectations
- Demonstrate ownership and accountability for service reliability and operational outcomes.
- Drive continuous improvement initiatives focused on automation, efficiency, and resiliency.
- Collaborate effectively across engineering, infrastructure, security, and business teams.
- Contribute to operational excellence by sharing knowledge, documenting processes, and mentoring peers when appropriate.
- Act as a trusted technical resource during incidents and critical production events.
We're excited to meet people who share our mission and can contribute to creating exceptional outcomes for our clients, communities, and colleagues. If this role aligns with your experience and career aspirations, we encourage you to apply.
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.
