Senior Lead Infrastructure Engineer

Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-15

Salary: INR 8,000,000–18,000,000

Workplace: on_site

Department: Weekday's Client via platform

Description

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.

Apply

Apply at Weekday AI

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