About the role
We are seeking a highly skilled Senior Platform Engineer – GitHub DevOps & Cloud Automation to design and build scalable, self-service platform capabilities that accelerate software delivery, improve developer productivity, and reduce operational overhead. This role focuses on modern platform engineering practices, GitHub-based DevOps automation, Kubernetes platforms, Infrastructure as Code, CI/CD modernization, and cloud-native engineering.
You will architect and implement resilient infrastructure solutions, developer self-service capabilities, GitOps workflows, and AI-driven operational tooling that enable large-scale enterprise application delivery across hybrid and cloud environments.
In this role, you will:
· Design and build self-service platform capabilities that enable engineering teams to provision and manage infrastructure with minimal operational support.
· Architect and implement GitHub Enterprise-based DevOps platforms, repository standards, branching strategies, and governance models.
· Develop and maintain enterprise CI/CD solutions using GitHub Actions, GitOps, and Infrastructure as Code practices.
· Create reusable platform components, templates, and automation workflows that standardize infrastructure provisioning and application deployments.
· Build scalable Kubernetes-based platforms across cloud environments, including Amazon EKS and related ecosystem technologies.
· Automate infrastructure lifecycle management using Terraform and cloud-native services.
· Drive platform reliability through observability solutions leveraging tools such as Datadog, Prometheus, and Grafana.
· Collaborate with development, operations, and security teams to implement DevSecOps practices, policy automation, and compliance controls.
· Design disaster recovery, backup, and resilience strategies for mission-critical platforms.
· Implement GitOps deployment models using tools such as ArgoCD to improve deployment consistency and operational efficiency.
· Evaluate and implement AI-powered platform engineering solutions using technologies such as RAG, AWS Bedrock, OpenSearch, and related frameworks to improve developer experience and operational productivity.
· Analyze deployment metrics, platform health indicators, and infrastructure utilization data to drive continuous improvement and cost optimization.
· Support incident management, root-cause analysis, and platform modernization initiatives across enterprise environments.
· Provide technical leadership, mentoring, and architectural guidance to engineering teams.
Work model:
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Colfax, NC and Hartford, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. These may change based on the project you are engaged in, as well as evolving business and client requirements. We will always be transparent about role expectations.
Please note: Some roles may require in‑person interviews at Cognizant offices or client locations based on project needs.
What you need to have to be considered
· 10+ years of experience in Platform Engineering, DevOps Engineering, Site Reliability Engineering, Infrastructure Engineering, or Cloud Architecture.
· Strong expertise with GitHub Enterprise, GitHub Actions, repository governance, and CI/CD automation.
· Extensive experience with Kubernetes, including Amazon EKS and Google Kubernetes Engine (GKE).
· Strong hands-on experience with Terraform and Infrastructure as Code methodologies.
· Experience designing and implementing enterprise-scale cloud platforms within AWS environments.
· Proficiency in scripting and automation using Python.
· Experience implementing GitOps methodologies using tools such as ArgoCD.
· Strong understanding of cloud networking, security, scalability, availability, and resilience patterns.
· Experience with observability platforms including Datadog, Prometheus, and Grafana.
· Knowledge of DevSecOps practices including RBAC, mTLS, IRSA, policy enforcement, and security automation.
· Experience designing disaster recovery and backup solutions, including Kubernetes workload protection.
· Strong communication, stakeholder management, and technical leadership skills.
This will help you stand out
· Experience building self-service platform engineering solutions supporting large-scale developer communities.
· Expertise designing enterprise CI/CD ecosystems supporting thousands of repositories and multiple engineering teams.
· Experience reducing cloud infrastructure costs through automation, resource optimization, and platform modernization initiatives.
· Experience implementing AI-powered DevOps and platform engineering solutions using AWS Bedrock, RAG, OpenSearch k-NN, MCP, or GenAI technologies.
· Experience building enterprise DevOps platforms with CloudBees CI, GitHub Actions, ArgoCD, and Kubernetes.
· Proven success driving GitOps adoption, developer productivity improvements, and operational excellence initiatives.
· Cloud, Kubernetes, Terraform, DevOps, or Platform Engineering certifications.
· Experience supporting hybrid-cloud and multi-cloud enterprise environments.
Salary and Other Compensation:
The annual salary for this position is between $79,240 to $133,500 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.
