Who You’ll Work With

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 lead engineer of Managed Database teams under Managed Data Platform area.

Who We Are Looking For

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.

Key Skills & Traits

7-10 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.
Experience leading DevOps strategy and implementation across teams
Advanced 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.
Demonstrated ability to mentor, coach, and lead engineering teams
Experience with DevOps, CI/CD, containerization (Docker, Kubernetes), and Crossplane
Excellent communication, stakeholder management, and strategic planning skills

What You’ll Work On

As a Lead 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
Experience with container runtimes like Docker
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
Design, implement, and maintain robust CI/CD pipelines using Jenkins for efficient software delivery.
Manage and optimize Artifactory repositories for efficient artifact storage and distribution.
Architect, deploy, and manage AWS EC2 instances, Lambda functions, Auto Scaling Groups (ASG), and Elastic Block Store (EBS) volumes.
Collaborate with cross-functional teams to ensure seamless integration of DevOps practices into the software development lifecycle.
Monitor, troubleshoot, and optimize AWS resources to ensure high availability, scalability, and performance.
Implement security best practices and compliance standards in the AWS environment.
Develop and maintain scripts in Python, Groovy, and Shell for automation and core engineering tasks.
Deep expertise in at least one of the technologies - Python, React, NodeJS
Good Knowledge on CI/CD Pipelines and DevOps Skills – Jenkins, Docker, Kubernetes etc.,
Collaborate with product managers to scope new features and capabilities.
Strong collaboration and problem-solving skills.
7-10 years of experience in designing and building production-grade platforms.
Technical expertise in Kubernetes, AWS Cloud Services and cloud-native architectures.
Advanced proficiency in Go-Lang and/or Python, SQL, databases, cloud automation, and AWS.
Strong understanding of PaaS architecture and DevOps tools like Kubernetes, Jenkins, Terraform, Docker
Familiarity with governance, security features, and performance optimization.
Keen attention to detail with a growth mindset and the desire to explore new technologies.

Nike

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