Staff Engineer - Cloud Backend Engineering

India·Bangalorelead

EngineeringBackend Engineering

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Quick Summary

Requirements Summary

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in Systems Engineering, Cloud Infrastructure, DevOps,

Technical Tools

EngineeringBackend Engineering

As a Senior Staff Backend Engineer - Cloud Infrastructure, this role will focus on Cloud Platform Infrastructure, Services and processes at its best to enhance Cloud infrastructure reliability & system efficiencies, productivity, availability, scalability and system quality at 10X scale. This role will be responsible for diving deep into business problems, understanding current customer pain points, system domain, current Platform limitations (if exists) and then work closely with engineering teams / leaders to design and architect new system / services leveraging cloud infrastructure that can scale 10X better in terms of reliability, availability performance and efficiency. This includes providing system architecture artifacts, accountability on cloud infrastructure choices that can perform and scale at 10X level but are still efficient, guidance on using right machine type, network designs, deployment automation etc . You will be part of a Global team working from different locations but still works as a central connected unit.

Responsibilities

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Strong experience on Cloud DevOps tools and coding (CI/CD, IaC, Terraform, Python, Cloud Formation, Ansible, GitHub, CircleCI, Jenkins and Infra Automation)
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Self-service code development and end-to-end back cloud deployment automation for application stack.
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Provide a roadmap and vision for scalable and robust growth for your cloud infrastructure and platform services to enable achieving 99.999% availability.
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Strong technical analytical & design capability to understand common & shared platforms, web, & services API with underlying data to provide appropriate network, infrastructure recommendations
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Strong working experience on Kubernetes, Docker, Linux and cloud services integrations.
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100% accountable for the reliable, scalable and optimized cloud architecture, design and platform services.
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Serve as Cloud Engineering for Cloud infrastructure Architecture, Design and Deployment and maintenance for highly reliable and scalable applications.
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Solves complex technical problems in Public Clouds (AWS, Azure, GCP) and Private Cloud environment and improves Operational Excellence.
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Strong ability to dive deep to understand current cloud infra and systems architecture to provide strategic partnership and improvements on network usage, role management, CDN, domains and cloud infra security.
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Analyze complex distributed production deployments and recommend ways to optimize performance and/or automate processes by managing continuous integration servers, utilizing monitoring and testing tools.
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Identify opportunities to make disruptive improvements in cloud infrastructure usage, operations and services with high degree of systematic automation.
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Possess expert knowledge in performance (sub millisecond latencies), scalability, availability (99.999% uptime), enterprise architecture best practices
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Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
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Strong problem-solving skills, analytical capabilities, and attention to details
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Provide a roadmap and vision for scalable and robust growth for cloud infrastructure and platform services
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Collaborate with customers, stakeholders and lead engineers on key mission-critical projects

Requirements

~1 min read

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10+ years of experience in Systems Engineering, Cloud Infrastructure, DevOps, and Site Reliability Engineering (SRE).
Experience leading large-scale system design and architecture initiatives leveraging AWS and/or Azure cloud services.
Proven experience building, automating, and operating infrastructure using Infrastructure as Code (IaC) practices; strong expertise across Linux-based environments.
Experience designing, building, and operating highly available, scalable, and high-performance distributed cloud systems.
Experience architecting, building, and managing enterprise-scale Hybrid Cloud environments with a focus on reliability, performance, and scalability.Strong hands-on experience automating application and infrastructure deployments using
Terraform, Python, and/or Go.
Experience in Cloud Infrastructure Engineering, including platform operations, automation, observability, and cloud-native technologies.

Demonstrated ability to collaborate effectively across cross-functional teams, with excellent verbal, written, and stakeholder communication skills.
AWS professional-level certifications preferred, such as AWS Certified Solutions Architect Professional and/or AWS Certified Developer Professional.

Hybrid

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.

Details to consider

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

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