Mid-Level
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
This role is part of the AI, Platform Engineering & DevX (APEX) to act as a software engineer of Managed Database teams under Managed Data Platform area.
We are looking for an ambitious Lead Software Engineer who brings deep expertise in Kuberenets, AWS Services, Cloud Platforms, Crossplane, and Go-Lang and/or Python programming. You are someone who thrives in building scalable, high-performance self-service platforms to improve efficiency, insights, and user experience.
3-4 years of experience in software development, deployment, and lifecycle management
Proven track record of architecting large-scale, distributed systems in AWS
Experience Building end to end CI/CD pipeline to build, test and deploy to different AWS environments such as lambda, EC2,ECS , EKS etc.
Proficiency in Go-Lang and/or Python, SQL, databases, cloud automation, and AWS.
Familiarity with software engineering best practices – including unit tests, code review, version control, production monitoring, etc.
Proficient in managing cloud-native platforms, with a strong PaaS (Platform as a Service) focus.
Knowledge of software engineering best practices including version control, code reviews, and unit testing.
A proactive approach with the ability to work independently in a fast-paced, agile environment.
Strong collaboration and problem-solving skills.
Experience with DevOps, CI/CD, containerization (Docker, Kubernetes), and Crossplane
Excellent communication, stakeholder management, and strategic planning skills
As a Software Engineer, you will play a crucial role in architecting, modernizing, and leading the development of scalable, production-grade managed database platform as services.
Deep working experience on Kubernetes, Docker, Jenkins, Argo CD etc.,
Install, Configure and Maintain Kubernetes Clusters
Working experience of infrastructure as code tools, such as Helm, Kustomize, or Terraform.
Implementation of Open Source Projects in K8s.
Ability to set up monitoring, logging, and alerting for Kubernetes clusters.
Implementation of Kubernetes security best practices, like RBAC, network, and pod security policies
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