AI Ops Engineer

Location: Bangalore, India

AI DevOps Engineer Let’s be unstoppable together! Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set. At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com. Role Overview We are seeking an experienced Senior DevOps Engineer to design, implement, automate, and support enterprise infrastructure and application delivery platforms across both on-premises and hyperscaler cloud environments. This role will be responsible for driving DevOps practices, CI/CD automation, Infrastructure as Code (IaC), platform reliability, and operational excellence in hybrid infrastructure landscapes. The ideal candidate will possess deep expertise in cloud and data center technologies, automation, container platforms, and production support. This individual will partner closely with Infrastructure, Application Development, Security, Architecture, and Operations teams to deliver scalable, secure, and highly available technology solutions. Job Responsibilities DevOps, Platform Engineering & Automation Design, build, and maintain enterprise DevOps platforms supporting software development and infrastructure teams. Develop and manage CI/CD pipelines utilizing Jenkins, Azure DevOps, or similar tools. Implement Infrastructure as Code (IaC) using Ansible, or equivalent technologies. Automate application deployment, infrastructure provisioning, configuration management, patching, and operational workflows. Drive continuous improvement initiatives focused on deployment speed, reliability, security, and operational efficiency. On-Premise Infrastructure Operations Support enterprise data center infrastructure including virtualized environments, compute, storage, networking, and backup solutions. Manage Linux-based environments supporting business-critical applications. Integrate on-premises systems with cloud platforms to support hybrid operational models. Participate in infrastructure lifecycle management, upgrades, patching, disaster recovery testing, and capacity planning. AI & Frontier Technology Platform Support Deploy, automate, and support AI/ML infrastructure platforms and services in cloud and on-premises environments. Support AI engineering teams with scalable environments for model training, inference, experimentation, and deployment. Manage infrastructure supporting generative AI, large language models (LLMs), AI copilots, vector databases, and AI orchestration frameworks. Establish operational monitoring, security controls, compliance, and reliability standards for AI solutions. Hybrid Cloud & Hyperscaler Support Design, deploy, and support workloads across Microsoft Azure and Google Cloud Platform (GCP). Manage and optimize hybrid cloud environments integrating on-premises infrastructure with cloud services. Support cloud governance, security standards, identity management, cost optimization, and operational best practices. Partner with cloud vendors and internal teams to troubleshoot and resolve complex platform issues. Develop cloud migration, modernization, and platform engineering strategies. Design and support containerized application platforms using Kubernetes, OpenShift, AKS, EKS, or GKE. Manage cluster administration, networking, security, scalability, and operational health. Monitoring, Reliability & Production Support Implement and maintain enterprise monitoring, logging, and observability solutions. Support production systems with a focus on availability, performance, and resiliency. Participate in incident management, root cause analysis, problem management, and on-call support rotations. Develop operational runbooks and support procedures for critical platforms. Apply Site Reliability Engineering (SRE) principles to improve system availability and reduce operational risk. Ensure compliance with organizational security policies, audit requirements, and regulatory standards. Support disaster recovery, business continuity, and resiliency initiatives. Requirements Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Overall 12 to 18 years of IT experience with minimum 7+ years of experience in DevOps , Infrastructure Engineering, Cloud Engineering, or Platform Operations. Strong experience supporting both on-premises infrastructure and cloud-based environments. Extensive hands-on experience with Jenkins administration, pipeline development, automation, and integration. Experience with CI/CD platforms such as Jenkins and Azure DevOps Experience implementing Infrastructure as Code Ansible. Strong Linux administration experience. Hands-on experience with Kubernetes, Docker, and container orchestration platforms. Experience supporting Azure or GCP environments. Strong scripting and automation skills using PowerShell, Python, Bash, or similar languages. Experience with enterprise monitoring tools such as Grafana, Prometheus, or Azure Monitor. Strong troubleshooting, problem-solving, and communication skills. Preferred Qualifications Multi-cloud experience across Azure and GCP. Azure DevOps Engineer Expert, Azure Solutions Architect or related certifications. Experience managing large-scale hybrid cloud transformations. Knowledge of platform engineering and self-service infrastructure models. Experience supporting retail, distribution, supply chain, or large-scale customer-facing platforms. Core Competencies DevOps & Platform Engineering Jenkins Administration & CI/CD Automation Hybrid Cloud Operations Hyperscaler Cloud Support (Azure, GCP) On-Premises Infrastructure Management Infrastructure as Code (IaC) Kubernetes & Container Platforms Enterprise Monitoring & Observability Automation & Continuous Improvement Circana Behaviors Beyond technical skills, experience, and role-specific attributes, these shared behaviors are fundamental to our culture and success. We seek individuals who consistently demonstrate and champion these behaviors in their daily work: Stay Curious: Being hungry to learn and grow, always asking the big questions. Seek Clarity: Embracing complexity to create clarity and inspire action. Own the Outcome: Being accountable for decisions and taking ownership of our choices. Center on the Client: Relentlessly adding value for our customers. Be a Challenger: Never complacent, always striving for continuous improvement. Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity. Commit to each other: Contributing to making Circana a great place to work for everyone.
Location: This position can be located in the following area(s): Bangalore, Karnataka, India (Hybrid). An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice . Your current employer will not be contacted without your permission.