Senior AWS DevOps Engineer

Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Job Description Senior AWS DevOps Engineer We are seeking a highly skilled Cloud Developer with a strong background in Amazon Web Services (AWS), DevOps, Kubernetes (K8s), and Infrastructure as Code (IaC) to take a lead role in deploying and supporting our AI platform, packaged in Docker containers and orchestrated via Kubernetes. Although you are the SME on the platform itself, you will work closely with our Product team, who own the product roadmap, codebase, and core engineering decisions, ensuring seamless alignment between deployment, support, and ongoing enhancements. Your Impact Deploy, manage, and support a proprietary AI platform running in Docker containers, orchestrated using Kubernetes (EKS). Serve as the technical lead for an active client deployment, ensuring successful rollout, environment readiness, and ongoing operational stability. Oversee and coordinate the help desk / support function, including triage, troubleshooting, customer communications, updates, and patch releases related to the AI platform. Act as the primary client-facing SME for all platform-related issues—advising on usage, performance, security, scalability, and automation best practices. Design and implement scalable, secure, and automated cloud infrastructure on AWS to support both general workloads and AI-specific environments. Build and maintain robust CI/CD pipelines for containerized AI and application deployments using AWS CodePipeline, GitHub Actions, GitLab CI, or similar tools. Automate infrastructure provisioning and environment configuration using Terraform or AWS CloudFormation. Collaborate with AI/ML teams, platform engineers, and software developers to enable efficient model deployment, scaling, and lifecycle management. Skills & Experience 8+ years of experience in cloud infrastructure, DevOps, or related fields. Expertise in containerization using Docker and orchestration with Kubernetes, ideally with EKS in production environments. Proven hands-on experience with AWS, including key services (EKS, Lambda, ECS, EC2, S3, IAM, VPC, KMS, RDS/DynamoDB, ALB/NLB). Previous experience as a technical lead or SME for client-facing cloud platforms, including support, troubleshooting, and issue resolution. Hands-on experience with infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates. Proficiency in CI/CD tools such as Jenkins, GitLab, or Azure DevOps. Experience with monitoring, logging, and alerting for container-based applications. Excellent leadership, communication, and stakeholder management skills. Set Yourself Apart With Cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Professional Cloud Architect. Experience in serverless computing, microservices architecture, and hybrid cloud solutions. Knowledge of cloud-native security best practices and compliance frameworks. Strong background in automation, scripting, and infrastructure optimization. Additional Information An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at #J-18808-Ljbffr