Senior Lead Infrastructure Engineer

Weekday AI; Bengaluru; On-site; INR 800,000 - 18,000,000; Full time

Job summary

Weekday AI in Bengaluru, Karnataka, India is seeking a Senior Lead Infrastructure Engineer to design, build, and scale resilient infrastructure for large-scale, high-performance systems. You will drive reliability, security, and operational excellence across cloud, on-prem, and hybrid environments.

The role requires hands-on experience with cloud platforms (AWS/Azure/GCP), IaC (Terraform/CloudFormation), Kubernetes, and strong scripting skills.

Qualifications

• 4+ years of hands-on experience in infrastructure engineering or related roles.
• Experience designing large-scale, production-grade infrastructure systems.
• Strong expertise in cloud platforms and IaC tooling.

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 for scalability, resilience, performance, and business continuity.
• Build and maintain infrastructure automation using IaC tools such as Terraform or CloudFormation.
• Improve deployment, provisioning, configuration management, and operational workflows through automation.
• Design and maintain cloud-native infrastructure supporting distributed systems, microservices, and high-throughput apps.
• Implement robust monitoring, logging, observability, alerting, and incident-response mechanisms.
• Identify and resolve bottlenecks, performance issues, capacity constraints, and reliability risks.
• Establish disaster recovery, backup management, fault tolerance, and business continuity practices.
• Optimise cloud costs, resource allocation, infrastructure utilisation, and operational efficiency.
• Strengthen infrastructure security through access controls, network segmentation, vulnerability management, and compliance.
• Collaborate to improve CI/CD pipelines, release processes, and production readiness.
• Lead root-cause analysis of incidents and implement long-term corrective actions.
• Define infrastructure standards, architecture documentation, and engineering best practices.
• Evaluate emerging cloud technologies and tools to improve system capabilities.

Skills

Cloud infrastructure design

Distributed systems

Infrastructure automation

Reliability engineering

Observability and monitoring

CI/CD pipelines

Automation mindset

Problem solving

Cross-functional collaboration

Ownership and leadership

Education

4+ years of hands-on experience in infrastructure engineering or related roles

Tools

Terraform

CloudFormation

Kubernetes

Job description

This role is for one of the Weekdays' clients

Salary range: Rs 800000 - 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.

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.