Job
Description
Who You’ll Work With You’ll be joining a dynamic, fast-paced Global EADP (Enterprise Architecture & Developer Platforms) team within Nike. Our team is responsible for building innovative cloud-native platforms that scale with the growing demands of the business. Collaboration and creativity are at the core of our culture, and we’re passionate about pushing boundaries and setting new standards in platform development. Who We Are Looking For We are looking for an ambitious Lead Software Engineer – Platforms with a passion for cloud-native development and platform ownership. You are someone who thrives in a collaborative environment, is excited by cutting-edge technology, and excels at problem-solving. You have a strong understanding of AWS Cloud Services, Kubernetes, DevOps, Databricks, Python and other cloud-native platforms. You should be an excellent communicator, able to explain technical details to both technical and non-technical stakeholders and operate with urgency and integrity. Key Skills & Traits Deep expertise in Kubernetes, AWS Services, Full Stack. working experience in designing and building production grade Microservices in any programming languages preferably in Python 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 on AIML with proven knowledge of building chatbots by using LLM’s. Familiarity with software engineering best practices – including unit tests, code review, version control, production monitoring, etc. Strong Experience on React, Node JS, 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. Mentoring team through the complex technical problems What You’ll Work On You will play a key role in shaping and delivering Nike’s next-generation platforms. As a Lead Software Engineer, you’ll leverage your technical expertise to build resilient, scalable solutions, manage platform performance, and ensure high standards of code quality. You’ll also be responsible for leading the adoption of open-source and agile methodologies within the organization. Day-to-Day Activities: Deep working experience on Kubernetes, AWS Services, Databricks, AIML etc., 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. Proficiency in Python, Node JS, React, SQL, 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. Show more Show less
