Sr. Devops Engineer (Cloud Infrastructure)
Listed by Jobgether for an employer it does not name
- LocationIndia
- Work typeRemote
- EmploymentFull-time
- Posted9 November 2026
- SourceListed by Jobgether (Lever)
Live checkFirst seen 1 h ago; still listed on Jobgether 1 h ago.
Moves fastWhen Jobgether takes a role down early, it is usually about 8 days after posting. Apply soon.
At a glance
- Experience4+ years
- Skills and toolsGoogle Cloud, AWS, Kubernetes, Terraform, CI/CD, Docker, Jenkins, GitHub
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Yes, save it to my listNot yet: check my fit firstAbout the role
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. DevOps Engineer (Cloud Infrastructure) based in India.
The Senior DevOps Engineer will play a key role in designing, managing, and optimizing large-scale cloud infrastructure across multiple public cloud environments, primarily GCP and AWS. This position focuses on ensuring the availability, performance, security, and scalability of critical production systems. You will work closely with development, operations, QA, and platform engineering teams to build reliable infrastructure, automate deployment processes, and strengthen system observability. A major part of your role will involve managing production Kubernetes environments, implementing Infrastructure as Code, and optimizing cloud resources. You will also contribute to incident management, root-cause analysis, and continuous reliability improvements. Joining a remote-first, international engineering environment, you will have the opportunity to work on distributed systems and infrastructure supporting high-volume applications and millions of users.
Accountabilities
- Cloud Infrastructure & Architecture: Design, architect, provision, and maintain scalable, resilient, and highly available multi-cloud infrastructure across Google Cloud Platform (GCP) and Amazon Web Services (AWS), using Terraform and Infrastructure as Code (IaC) practices.
- Kubernetes & Container Management: Manage and operate production Kubernetes environments, particularly Google Kubernetes Engine (GKE), ensuring high availability, security, performance, and workload scalability.
- Observability & Monitoring: Implement and maintain comprehensive monitoring, telemetry, logging, and observability solutions across infrastructure and microservices to improve system visibility, detect potential issues proactively, and strengthen reliability.
- Incident Management & Reliability: Participate in on-call rotations, coordinate incident response, troubleshoot production issues, conduct root-cause analyses (RCA), and implement long-term corrective actions to prevent recurring incidents.
- Multi-Cloud Service Management: Provision, configure, manage, and optimize cloud services across GCP and AWS to support critical production workloads and evolving business requirements.
- CI/CD & Automation: Develop, maintain, and optimize automated deployment pipelines and platform tooling using modern CI/CD technologies to streamline engineering workflows and improve software delivery efficiency.
- Infrastructure Automation: Drive automation initiatives using Terraform, scripting languages, and other Infrastructure as Code tools to improve consistency, scalability, and operational efficiency.
- Security & Governance: Implement and maintain cloud infrastructure security standards, networking governance, access controls, and operational best practices to ensure secure and compliant environments.
- Cloud Optimization: Collaborate with engineering teams to evaluate and optimize cloud resource utilization, improve infrastructure performance, and manage cloud footprints across multiple providers.
- Cross-Functional Collaboration: Partner with development, QA, operations, and platform teams to identify infrastructure requirements, resolve technical challenges, improve deployment processes, and support continuous delivery.
Requirements
- At least 4 years of professional experience in DevOps engineering, cloud infrastructure, or related roles, with hands-on experience in GCP or other major public cloud platforms.
- Proven experience managing and operating Kubernetes environments in production, particularly Google Kubernetes Engine (GKE).
- Strong knowledge of containerization technologies, especially Docker and Kubernetes.
- Hands-on experience with Infrastructure as Code tools, particularly Terraform, for provisioning and managing cloud infrastructure.
- Practical experience with CI/CD technologies, including Jenkins pipelines (Groovy), GitHub Actions, ArgoCD, or equivalent automation and deployment platforms.
- Strong scripting and automation capabilities using Bash and Python. Familiarity with Node.js or Go is considered an advantage.
- Experience implementing observability and monitoring solutions, including tracking and reporting key infrastructure, application, and networking performance metrics.
- Solid understanding of cloud infrastructure architecture, networking, security, access management, and production environment best practices.
- Experience provisioning, configuring, and maintaining cloud services across GCP and AWS.
- Familiarity with Cloudflare, networking technologies, and edge security solutions.
- Strong troubleshooting and analytical skills, with the ability to investigate complex infrastructure issues and implement effective solutions.
- Excellent communication and collaboration skills, with the ability to work effectively alongside developers, QA engineers, operations specialists, and platform teams.
- A proactive and ownership-driven mindset, with the ability to manage priorities, respond to operational challenges, and continuously improve infrastructure reliability.
Benefits
- Fully remote working arrangement, allowing you to work from anywhere in India.
- Opportunity to join a global, remote-first organization with an international team.
- Exposure to large-scale, multi-cloud infrastructure across GCP and AWS.
- Opportunity to work with modern technologies, including Kubernetes, Terraform, Docker, and advanced CI/CD platforms.
- Involvement in high-impact infrastructure projects supporting large-scale distributed systems and high-volume workloads.
- Opportunities for professional development and continuous technical learning.
- Collaborative engineering culture that encourages initiative, ownership, innovation, and knowledge sharing.
- Opportunity to contribute to infrastructure architecture, automation, cloud optimization, and platform reliability initiatives.
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.
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