Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
GCP Support & Service Delivery Lead
About the role
As a GCP Support & Service Delivery Lead, you will make an impact by overseeing advanced technical support and service delivery for enterprise systems built on Python3 and GCP, ensuring high availability, reliability, and performance for global transportation and logistics clients. You will be a valued member of the Technology Support team and work collaboratively with support, engineering, development, and infrastructure teams.
In this role, you will:
• Lead end-to-end technical support operations for complex Python3 and GCP-based applications, ensuring rapid incident resolution and minimal disruption to mission-critical business services.
• Oversee service delivery governance across GCP DevOps, GCP Cloud, Cloud SQL, and BigQuery environments, maintaining adherence to enterprise standards and customer commitments.
• Drive continuous improvement initiatives in monitoring, alerting, and automation within GCP DevOps pipelines to reduce manual effort and accelerate safe software releases.
• Manage escalation processes for critical service outages, organizing technical war rooms and ensuring transparent updates to stakeholders until recovery is achieved.
• Guide configuration and administration of GCP Cloud SQL and BigQuery solutions to safeguard data integrity, improve query performance, and support analytics-enabled decision making.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Parsippany, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
• 10+ years of experience working with Python3
• 10+ years of experience across GCP, including GCP DevOps, GCP Cloud, Cloud SQL, and BigQuery
• Proven track record leading technical support and service delivery for enterprise-scale applications
• Strong background in root cause analysis and incident/problem management for production systems
• Experience mentoring support professionals on advanced troubleshooting and cloud-native tools
These will help you stand out
• Experience working with transportation and logistics business teams
• Background in security, compliance, and data privacy practices within cloud environments
• Experience building observability solutions (logging, metrics, dashboards) for cloud-native services
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation
Applications will be accepted until October 16, 2026.
The annual salary for this position is between $156,000- $185,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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.











