1 month ago
Gurgaon, IndiaStaff+
Responsibilities
- Embed with client infrastructure and engineering teams to design, execute, and operationalize enterprise infrastructure transformations.
- Own production outcomes including platform reliability, time-to-value, adoption, and scalability.
- Execute application migration through rehosting, re-platforming, and redeployment strategies.
- Architect and implement cloud, network, security, container, Kubernetes, database, platform engineering, and AI infrastructure foundations.
- Design data architectures and deploy AI platform layers for structured and unstructured workloads.
- Modernize relational and NoSQL database estates through migration, schema conversion, performance tuning, and cloud-native deployment.
- Use Python for infrastructure automation, deployment scripting, data pipeline engineering, and AI agent development.
- Translate technical architectures into modernization roadmaps, ROI backlogs, and AI adoption strategies for CTO, CFO, and CISO stakeholders.
- Create reusable patterns, playbooks, proofs of concept, and accelerators while enabling client teams to operate and extend the platforms independently.
- Work in a 24/7 environment as required.
Requirements
- Minimum 12 years of experience is required.
- 15 years of full-time education is required.
- At least 2 years of experience with AI platform ecosystems, including AWS, Azure, GCP, open-source model deployment, and enterprise AI workload infrastructure.
- 3 to 5 years of engineering experience with cloud-native systems and experience deploying AI use cases.
- At least 1 year of experience designing, deploying, and operating production AI platforms and infrastructure, including model-serving environments, AI-ready compute, data pipelines, and platform integration.
- 10+ years of infrastructure engineering experience across cloud platforms, networking, security, Kubernetes, containerization, platform engineering, and enterprise application environments.
- Demonstrated ownership of infrastructure transformation outcomes in live enterprise environments rather than advisory engagements or contained deployments.
- Ability to connect infrastructure decisions to business and financial outcomes.
- Experience presenting to and building trust with senior CTO, CFO, or CISO stakeholders.
- Strong problem-solving skills and an engineering mindset.
- Preferred experience includes cloud automation and DevOps, cloud strategy and assessment, Docker and Kubernetes architecture, infrastructure as code, and database architecture.
Categories
Forward Deployed
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.