1 month ago
Gurgaon, IndiaSenior
Responsibilities
- Embed with client infrastructure and engineering teams to design, execute, and operationalize end-to-end infrastructure transformation.
- 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, storage, container, database, application, and AI platform foundations.
- Design and deploy data and AI foundations 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 senior client stakeholders.
- Build reusable patterns, playbooks, proofs of concept, and accelerators while enabling client teams to operate and extend the resulting platforms.
Requirements
- Minimum 7.5 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 infrastructure.
- At least 3 to 5 years of engineering experience with cloud-native systems and deploying AI use cases.
- At least 1 year of experience designing, deploying, and operating AI platforms and infrastructure in production enterprise environments.
- 10+ years of infrastructure engineering experience across cloud platforms, networking, security, Kubernetes, containerization, platform engineering, and enterprise applications.
- Demonstrated ownership of infrastructure transformation outcomes in live enterprise environments.
- Ability to connect infrastructure decisions to business and financial outcomes.
- Experience presenting to and building trust with CTO, CFO, and CISO-level stakeholders.
- Strong problem-solving skills and willingness to work in a 24/7 environment.
Benefits
- The role is embedded directly in client environments and may require working in a 24/7 environment.
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.