Cognizant is seeking an AI Site Reliability Engineer to build and operate the reliable, scalable, and secure infrastructure behind our AI and machine-learning platforms.
You will work across cloud infrastructure, Kubernetes, GPU compute, model-serving systems, observability, automation, and incident response. You will partner with software, data science, security, and platform teams to ensure our AI systems meet high standards for availability, latency, performance, cost, and operational safety.
Responsibilities
• Design, operate, and improve highly available infrastructure for AI training, inference, and data-processing workloads.
• Define and manage service-level objectives, reliability metrics, error budgets, and capacity plans.
• Build monitoring, logging, tracing, alerting, and AI-specific observability for model-serving platforms.
• Lead incident response, root-cause analysis, post-incident reviews, and reliability improvements.
• Automate deployment, scaling, rollback, disaster recovery, and routine operational tasks.
• Operate Kubernetes-based services, cloud platforms, GPU clusters, networking, storage, and CI/CD systems.
• Improve model-serving performance, including latency, throughput, GPU utilization, availability, and cost efficiency.
• Develop safe automation and self-healing workflows for common production issues.
• Establish operational standards for model versioning, rollouts, canary releases, feature flags, and rollback procedures.
• Collaborate with engineering and ML teams to make AI systems production-ready.
• Maintain clear runbooks, architecture documentation, and operational procedures.
• Participate in an on-call rotation and help build a sustainable, low-noise operational culture.
Required Qualifications
• 4+ years of experience in SRE, infrastructure engineering, DevOps, platform engineering, or production engineering.
• Strong Linux, networking, cloud, and distributed-systems experience.
• Hands-on experience with Kubernetes and infrastructure-as-code tools such as Terraform.
• Experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
• Proficiency in Python, Go, or another programming language used for automation and production systems.
• Experience with observability platforms, metrics, logs, traces, and incident-management practices.
• Experience operating production services with defined availability and performance targets.
• Strong troubleshooting, communication, documentation, and systems-thinking skills.
Preferred Qualifications
• Experience operating machine-learning or generative-AI workloads in production.
• Familiarity with GPUs, CUDA, model-serving systems, vector databases, or high-performance computing.
• Experience with tools such as Prometheus, Grafana, OpenTelemetry, Argo CD, Helm, or service meshes.
• Knowledge of MLOps practices, model lifecycle management, and ML/data pipelines.
• Experience with reliability testing, chaos engineering, load testing, or capacity modeling.
• Understanding of AI security, data privacy, model-safety controls, and access management.
Success in This Role
Within the first year, you will help reduce critical incidents, improve detection and recovery times, increase platform availability, improve infrastructure utilization, and create repeatable operational standards for deploying and running AI systems at scale.
The salary range for this role is between $142,000 and $167,500 depending on skills and qualifications of the candidate. Applications will be accepted till 10/31/2026
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
