India · Staff/Principal
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
Always free · no credit card · 1 tap with Google
LOW
Our tracked job listings for nike show limited recent activity.
First 72 hours
Window passed - posted 116d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
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 principal engineer of Near-Realtime (NRT) teams under Data Streaming Platform area.
We are looking for an ambitious Principal 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.
10+ years of experience in designing and building production-grade platforms using data Streaming and Orchestration solutions like Kafka, NiFi and Airflow
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.
Familiarity with software engineering best practices – including unit tests, code review, version control, production monitoring, etc.
Strong Experience on Jenkins, Terraform, Docker, Kubernetes 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.
Mentoring team through the complex technical problems
You will play a key role in shaping and delivering Nike’s next-generation platforms. As a Prinicipal 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:
10+ years of experience in designing and building production-grade platforms.
Experience in data Streaming and Orchestration solutions like Kafka, NiFi and Airflow
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.
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.
Your match score, skill map and tracker stay free.
Skip jobs with hidden dealbreakers. See what they actually need, what's easy to miss, and how they describe the team.
Ground Reality on every job, plus Insider Path, practice interviews and resume tailoring.
We help you find people there who worked or studied where you did, and draft your first message and follow-up.
Free · no signup
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.