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Jobgether

Sr. AWS DevOps Engineer- Kubernetes Expertise

5-7 Years
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  • Posted 20 hours ago
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Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. AWS DevOps Engineer - Kubernetes Expertise in India.

In this role, you will design, build, and operate highly scalable and resilient cloud infrastructure on AWS for global customers. You will play a key part in enabling automation-first DevOps practices, with a strong focus on Kubernetes-based architectures and modern CI/CD pipelines. Working closely with engineering teams and stakeholders, you will translate business requirements into secure, production-grade cloud environments. The role combines hands-on engineering with architectural ownership, ensuring systems are reliable, observable, and self-healing. You will also contribute to improving operational standards and mentoring junior engineers in a fast-paced, cloud-native environment. This position is ideal for someone who thrives in solving complex infrastructure challenges at scale.

Accountabilities

In this role, you will be responsible for architecting and maintaining robust AWS-based infrastructure, with a strong emphasis on automation, scalability, and reliability. You will design and manage Kubernetes clusters and cloud-native environments while driving infrastructure-as-code practices and CI/CD modernization.

  • Design, build, and maintain scalable AWS infrastructure using best practices in resilience, security, and performance
  • Develop and manage Kubernetes environments, including cluster setup, deployments, namespaces, and scaling strategies
  • Build and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, or CircleCI
  • Implement infrastructure-as-code using Terraform, CloudFormation, or AWS CDK
  • Ensure system reliability through monitoring, logging, and incident response practices
  • Collaborate with stakeholders to gather requirements and deliver tailored cloud solutions
  • Enforce security, compliance, and operational best practices across cloud environments
  • Mentor junior engineers and contribute to improving DevOps standards and processes

Requirements

The ideal candidate brings strong DevOps engineering experience with deep expertise in AWS, Kubernetes, and automation-driven infrastructure. You are comfortable working independently, solving complex technical challenges, and communicating effectively with cross-functional teams.

  • 5+ years of experience in DevOps or cloud infrastructure engineering
  • Strong hands-on experience with AWS cloud architecture and services
  • Proven expertise in Kubernetes (EKS or similar) in production environments
  • Solid experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI
  • Strong knowledge of Infrastructure as Code tools like Terraform or CloudFormation
  • Experience with Docker and container orchestration workflows
  • Familiarity with scripting languages such as Python, Bash, Go, or JavaScript
  • Understanding of monitoring and observability tools like Prometheus, Grafana, and ELK stack
  • Knowledge of networking fundamentals (DNS, VPNs, load balancing, firewalls)
  • Strong communication skills and ability to work independently in distributed teams
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Benefits

  • Competitive salary aligned with experience and market standards
  • Remote-first work environment with flexible collaboration
  • Opportunity to work on global AWS cloud transformation projects
  • Learning and certification support (AWS, Kubernetes, DevOps tools)
  • Exposure to modern cloud-native and AI-driven infrastructure practices
  • Career growth in a high-impact, international engineering environment
  • Collaborative culture with mentorship and technical leadership opportunities
  • Work with cutting-edge tools and large-scale Kubernetes ecosystems

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. 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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Job ID: 145834933

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