Senior Platform Engineer (Kubernetes - AKS/EKS)

Jobgether • United State
Remote
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AI Summary

Design and operate scalable cloud-native infrastructure using Kubernetes across AWS and Azure. Architect microservices-based systems and implement Infrastructure as Code with Terraform. Ensure system reliability through observability, security, and performance optimization.

Key Highlights
Kubernetes (EKS and AKS) cluster management and workload orchestration
Terraform for Infrastructure as Code in production environments
Observability solutions including monitoring, logging, and alerting
Re-architecting large-scale monolithic applications into cloud-native systems
Technical mentorship and guidance to junior engineers
Key Responsibilities
Design, build, and maintain scalable cloud-native infrastructure using Kubernetes (EKS and AKS) across AWS and Azure environments
Architect and implement microservices-based systems using modern design principles, including domain-driven design
Develop and manage Infrastructure as Code using Terraform to ensure consistent, automated, and secure deployments
Implement robust observability solutions including monitoring, logging, and alerting to ensure system reliability and performance
Support the re-architecture of large-scale monolithic applications into cloud-native, distributed systems
Evaluate and recommend new tools, frameworks, and technologies to improve platform efficiency and resilience
Provide technical mentorship and guidance to junior engineers, fostering engineering best practices and knowledge sharing
Technical Skills Required
Kubernetes Terraform AWS Azure Cloud networking Distributed system design
Benefits & Perks
Competitive compensation package
Long-term contract-to-hire opportunity (6-24 months before conversion)
Fully remote position within the continental United States
Opportunity to work on large-scale cloud modernization and Kubernetes platform engineering initiatives
Professional growth opportunities through mentorship and complex system ownership

Job Description


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Platform Engineer (AKS/EKS) based in the United States.

This is a high-impact platform engineering role focused on building and scaling modern cloud-native infrastructure within a large enterprise environment. You will design and operate resilient, secure, and highly available systems built on Kubernetes across AWS and Azure ecosystems.

The role sits within a cloud infrastructure team responsible for modernizing and re-architecting large-scale systems into microservices-based architectures.

You will work extensively with Kubernetes (EKS and AKS), Terraform, and cloud-native tooling to ensure scalability, observability, and operational excellence.

A key part of the role involves improving system reliability through monitoring, logging, alerting, and performance optimization.

You will also contribute to architectural decisions and evaluate new technologies that enhance platform capabilities.

This is a hands-on engineering position ideal for someone who thrives in complex distributed systems environments and enjoys building at scale.

Accountabilities

  • Design, build, and maintain scalable cloud-native infrastructure using Kubernetes (EKS and AKS) across AWS and Azure environments.
  • Architect and implement microservices-based systems using modern design principles, including domain-driven design.
  • Develop and manage Infrastructure as Code using Terraform to ensure consistent, automated, and secure deployments.
  • Implement robust observability solutions including monitoring, logging, and alerting to ensure system reliability and performance.
  • Support the re-architecture of large-scale monolithic applications into cloud-native, distributed systems.
  • Evaluate and recommend new tools, frameworks, and technologies to improve platform efficiency and resilience.
  • Provide technical mentorship and guidance to junior engineers, fostering engineering best practices and knowledge sharing.

Requirements

  • 6+ years of experience modernizing or re-architecting large-scale monolithic systems into cloud-native architectures.
  • Strong hands-on experience with Kubernetes (EKS and/or AKS), including cluster management and workload orchestration.
  • 4+ years of experience with AWS and/or Azure cloud platforms, including containerized and serverless environments.
  • Deep expertise in Infrastructure as Code using Terraform in production environments.
  • Strong understanding of cloud networking, load balancing, and distributed system design principles.
  • Experience implementing security best practices for containers, Kubernetes clusters, and cloud infrastructure.
  • Solid background in Computer Science, Software Engineering, or equivalent practical experience.
  • Strong communication skills and ability to collaborate in cross-functional engineering teams.

Benefits

  • Competitive compensation package aligned with senior platform engineering roles.
  • Long-term contract-to-hire opportunity (6-24 months before conversion).
  • Fully remote position within the continental United States.
  • Opportunity to work on large-scale cloud modernization and Kubernetes platform engineering initiatives.
  • Exposure to enterprise-grade AWS and Azure cloud environments.
  • Collaborative engineering culture with strong focus on reliability and best practices.
  • Professional growth opportunities through mentorship and complex system ownership.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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