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À propos de ce poste Senior Lead Infrastructure Engineer chez Weekday AI

Weekday AI · Sur site · Bengaluru, Karnataka, India

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟴𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟴𝟬-𝟭𝟴𝟬 𝗟𝗣𝗔)

Experience: 4+ yrs

Location: Bengaluru, Karnataka, India

We are looking for a highly skilled Senior Lead Infrastructure Engineer to design, build, and scale resilient infrastructure supporting large-scale, high-performance systems. This role combines deep technical expertise in cloud infrastructure, distributed systems, infrastructure automation, and large-scale system architecture with the ability to drive reliability, scalability, security, and operational excellence.

The ideal candidate will have strong hands-on engineering capabilities and experience designing infrastructure that supports demanding workloads, complex applications, and rapidly growing technology platforms. You will play a key role in shaping infrastructure strategy, improving cloud efficiency, and building reliable systems that can scale with evolving business requirements.

Requirements

Key Responsibilities

  • Design, implement, and maintain scalable infrastructure for large-scale, high-availability systems.
  • Architect and optimise cloud infrastructure across compute, storage, networking, databases, and managed services.
  • Develop infrastructure strategies that support scalability, resilience, performance, and business continuity.
  • Build and maintain infrastructure automation using Infrastructure as Code (IaC) tools such as Terraform or equivalent technologies.
  • Improve deployment, provisioning, configuration management, and operational workflows through automation.
  • Design and maintain cloud-native infrastructure supporting distributed systems, microservices, and high-throughput applications.
  • Implement robust monitoring, logging, observability, alerting, and incident-response mechanisms.
  • Identify and resolve infrastructure bottlenecks, performance issues, capacity constraints, and reliability risks.
  • Establish practices for disaster recovery, backup management, fault tolerance, and business continuity.
  • Optimise cloud costs, resource allocation, infrastructure utilisation, and operational efficiency.
  • Strengthen infrastructure security through access controls, network segmentation, vulnerability management, and compliance practices.
  • Collaborate with engineering and platform teams to improve CI/CD pipelines, release processes, and production readiness.
  • Lead root-cause analysis of complex infrastructure incidents and implement long-term corrective actions.
  • Define infrastructure standards, architecture documentation, operational procedures, and engineering best practices.
  • Evaluate emerging cloud technologies and infrastructure tools to improve system capabilities and reliability.

What Makes You a Great Fit

  • 4+ years of hands-on experience in infrastructure engineering, cloud engineering, platform engineering, or related roles.
  • Strong expertise in designing and operating large-scale, production-grade infrastructure systems.
  • Deep understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Strong knowledge of compute, storage, networking, load balancing, DNS, and cloud security fundamentals.
  • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or equivalent solutions.
  • Proficiency in scripting or programming using Python, Go, Bash, or similar languages.
  • Experience with Linux systems, containerisation, Kubernetes, and cloud-native architectures.
  • Strong understanding of distributed systems, high availability, fault tolerance, scalability, and disaster recovery.
  • Experience with observability tools, performance monitoring, capacity planning, and incident management.
  • Knowledge of CI/CD pipelines, configuration management, and automated infrastructure provisioning.
  • Ability to troubleshoot complex technical issues and make sound infrastructure architecture decisions.
  • Strong ownership, analytical thinking, communication, and cross-functional collaboration skills.
  • A proactive approach to automation, reliability engineering, infrastructure optimisation, and continuous improvement.
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À propos de Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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