Senior Software Engineer, ITC
Karnātaka, India21h ago
Key details
- Location
- Karnātaka, India
- Work style
- Onsite
- Level
- Senior
- Job type
- Full-time
- Experience
- 5–8 yrs
- Function
- Software engineering
- Focus area
- Infrastructure / Cloud
- Posted
- 21h ago
Skills
About the role
WHO YOU’LL WORK WITH
The Cloud Edge, Storage, and Backup engineering teams build and operate cloud-native control plane capabilities that standardize how infrastructure services are provisioned, governed, and operated across Nike. The storage engineering focus spans file, block, and object storage capabilities across cloud and hybrid environments.
You will work with lead engineers, engineering managers, product partners, and global platform teams to deliver reusable storage automation and control plane capabilities. This role is based in the Nike India Technology Center and collaborates with teams in Beaverton and PHK to support architecture alignment, platform delivery, and production operations
.
WHO WE ARE LOOKING FOR
Nike is seeking a Senior Software Engineer, Storage to build cloud-native storage across enterprise storage platforms. This role is ideal for an experienced engineer who understands storage systems, enjoys writing production-quality software, and can help modernize infrastructure provisioning through declarative, automated, and policy-driven platform services.
The ideal candidate has strong software engineering fundamentals, practical cloud and storage experience, and proven ability to deliver reliable services in production. They should be comfortable contributing to design, implementing platform capabilities, supporting on-call operations, and collaborating across distributed teams.
• 5+ years of professional software engineering experience building cloud infrastructure platforms, storage automation, control plane capabilities, distributed systems, or backend services.
• Bachelor's or Master's degree in Computer Science, Engineering, a related technical discipline, or equivalent professional experience.
• Experience with enterprise storage platforms and vendors such as Qumulo, Dell, NetApp, and Pure Storage.
• Understanding of storage-related protocols such as SMB, NFS, iSCSI, and Fibre Channel.
• Strong hands-on experience with Python/Java/Go/Rust and Kubernetes, including APIs, services, deployment patterns, or platform integrations.
• Familiarity with file, block, and object storage solutions across cloud providers including AWS, Azure, GCP, and Alibaba Cloud.
• Experience with AWS and Infrastructure as Code such as Terraform; Crossplane experience is strongly preferred, and Azure, GCP, or Alibaba Cloud experience is a plus.
• Experience in building AI Agents is strongly preferred.
• Experience supporting production software or infrastructure platforms, participating in on-call rotations, and improving reliability through automation and observability.
• Ability to collaborate on technical designs, write maintainable code, participate in code reviews, and communicate clearly across global teams.
WHAT YOU’LL WORK ON
You will design, build, test, and operate Kubernetes-native storage control plane capabilities that help modernize storage provisioning and lifecycle management. You will contribute to declarative, policy-driven platform services that improve automation, reliability, governance, and developer self-service across storage domains.
• You will build services, APIs, platform integrations that support reusable storage control plane capabilities.
• You will help migrate manual or legacy storage provisioning workflows into automated, policy-driven platform capabilities.
• You will integrate storage concepts and protocol requirements into platform abstractions that are secure, observable, and operationally reliable.
• You will write tests, participate in code reviews, improve documentation, and support safe release practices for production systems.
• You will partner with lead engineers and managers to clarify requirements, evaluate implementation options, and deliver maintainable technical solutions.
• You will support production operations, on-call rotation, observability improvements, and incident follow-up actions.
• You will look for opportunities to use automation and AI-assisted engineering workflows to reduce toil and improve team productivity.
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