Senior Infrastructure Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Infra Engineer based in India.

This role offers the opportunity to design, build, and operate enterprise-grade infrastructure platforms that support critical business applications.

You will work across cloud-native and hybrid environments, creating scalable, secure, and reliable platform capabilities.

The position focuses on infrastructure automation, Kubernetes engineering, GitOps practices, observability, and distributed systems.

You will collaborate with engineering, DevOps, security, and infrastructure teams to improve platform reliability and operational excellence.

The ideal candidate will bring strong technical expertise, a problem-solving mindset, and experience managing complex production environments.

This is a high-impact opportunity to shape modern infrastructure practices and contribute to large-scale technology transformation initiatives.

Accountabilities

As an Infra Engineer, you will be responsible for designing, implementing, and maintaining robust infrastructure platforms across hybrid and cloud environments. You will help automate operations, improve reliability, and enable engineering teams through scalable platform solutions.

• Design, deploy, and operate enterprise-grade platform services across on-premises and hybrid cloud environments.
• Build and maintain platform capabilities across compute, storage, networking, data processing, and observability.
• Develop Infrastructure as Code solutions using Terraform to automate provisioning, configuration, and lifecycle management.
• Implement GitOps-based deployment strategies using tools such as ArgoCD and GitHub Actions.
• Build, administer, and optimize Kubernetes clusters supporting production workloads.
• Manage distributed data platforms and large-scale infrastructure components, including Hadoop-based environments.
• Design and maintain distributed object storage solutions such as MinIO and S3-compatible platforms.
• Deploy and optimize distributed caching systems such as Redis and Memcached.
• Implement enterprise observability solutions using OpenTelemetry, Prometheus, Grafana, and Loki.
• Automate CI/CD workflows to improve deployment speed, consistency, and reliability.
• Ensure infrastructure scalability, availability, resilience, and operational excellence.
• Troubleshoot complex production issues and perform performance optimization across platforms.

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• Support capacity planning, scalability initiatives, and infrastructure improvement projects.
• Collaborate with cross-functional teams to establish strong platform engineering practices.
  
  

Requirements

The ideal candidate is an experienced infrastructure or platform engineer with a strong background in automation, Kubernetes, distributed systems, and production environments. You should be comfortable working independently, solving complex technical challenges, and contributing to modern infrastructure strategies.

• 8+ years of experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering.
• Proven experience designing and operating enterprise-scale infrastructure platforms.
• Strong hands-on experience with hybrid cloud and on-premises environments.
• Advanced knowledge of Kubernetes administration, cluster lifecycle management, and production operations.
• Strong experience with Infrastructure as Code, especially Terraform and infrastructure automation practices.
• Experience with GitOps methodologies, ArgoCD, GitHub Actions, and CI/CD pipeline automation.
• Experience managing distributed data platforms, including Hadoop or similar technologies.
• Knowledge of distributed storage solutions such as MinIO and S3-compatible object storage.
• Experience working with distributed caching technologies such as Redis and Memcached.
• Strong understanding of observability platforms, including OpenTelemetry, Prometheus, Grafana, and Loki.
• Experience with Linux administration, system performance tuning, and infrastructure troubleshooting.
• Knowledge of backup strategies, disaster recovery, capacity planning, and scalability forecasting is preferred.
• Familiarity with artifact repositories such as Nexus or similar platforms is a plus.
• Experience with enterprise-scale platform modernization initiatives is highly desirable.

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• Strong analytical and troubleshooting abilities with excellent communication skills.
• Ability to work effectively in a remote environment with ownership and accountability.
• Experience mentoring engineers and promoting infrastructure best practices.
  
  

Benefits

• Fully remote work opportunity.
• Full-time employment with flexible collaboration across distributed teams.
• Opportunity to work on enterprise-scale cloud and infrastructure modernization initiatives.
• Exposure to advanced technologies across Kubernetes, automation, cloud platforms, and distributed systems.
• Collaborative environment focused on innovation, reliability, and engineering excellence.
• Opportunities for professional growth and technical leadership.
• Ability to contribute to high-impact infrastructure solutions supporting critical applications.
  
  

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.