# Lead DevOps Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-11-02

**Salary:** INR 1,500,000–3,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 1500000 - Rs 3000000 (ie INR 15 - 30 LPA)**

  
Min Experience: 7+ years  
Location: Bengaluru, Karnataka, India  
JobType: full-time

We are looking for an experienced **Lead DevOps Engineer** with strong expertise in cloud infrastructure, automation, CI/CD, containerization, and Site Reliability Engineering (SRE). The ideal candidate will have deep, hands-on experience designing and managing large-scale cloud environments, building robust deployment pipelines, strengthening security practices, and ensuring the reliability and scalability of production systems.

The candidate should demonstrate strong scripting capabilities, infrastructure-as-code expertise, and the ability to lead technical initiatives while mentoring engineers and collaborating across teams.

## Requirements

## Key Responsibilities

-   Design, implement, and manage scalable, secure, and highly available cloud infrastructure across AWS and other cloud platforms.
-   Develop automation scripts using Python and/or Bash to streamline infrastructure operations and deployment workflows.
-   Build and maintain Infrastructure as Code (IaC) solutions using Terraform and/or Ansible.
-   Design, implement, and govern Jenkins CI/CD pipelines, ensuring efficient build, testing, integration, and deployment processes.
-   Manage production environments using Docker, Kubernetes, and OpenShift.
-   Establish and improve observability frameworks, monitoring systems, and SRE practices to ensure platform reliability and performance.
-   Own and strengthen cloud security posture, particularly across AWS infrastructure.
-   Manage advanced cloud networking components, including routing, Transit Gateways, Site-to-Site VPNs, and Client VPNs.
-   Collaborate with data and analytics teams to support platforms and tools such as Lakehouse, Data Warehouses, Databricks, Amazon QuickSight, and Power BI.
-   Drive technical decision-making, mentor team members, and coordinate with cross-functional teams to deliver infrastructure initiatives.
-   Identify opportunities to improve infrastructure efficiency, scalability, security, and operational performance.

## Required Skills and Expertise

-   Strong scripting experience in **Python and/or Bash**.
-   Deep, architecture-level, hands-on expertise in **AWS**, with experience in Azure or other cloud platforms.
-   Strong understanding of multi-cloud architecture and infrastructure management.
-   Expertise in Infrastructure as Code using **Terraform and/or Ansible**.
-   Proven experience designing and governing Jenkins CI/CD pipelines.
-   Strong knowledge of Git and version control practices.
-   Production-level experience managing Docker, Kubernetes, and OpenShift environments.
-   Hands-on experience with observability frameworks, monitoring, and SRE practices.
-   Strong understanding of AWS security posture management and cloud security best practices.
-   Knowledge of advanced cloud networking, including routing, Transit Gateways, Site-to-Site VPN, and Client VPN.
-   Familiarity with Lakehouse architecture, Data Warehousing, Databricks, QuickSight, and Power BI.
-   Strong leadership, mentoring, problem-solving, and cross-team collaboration skills.

## Preferred Skills

-   Experience implementing and managing AIOps solutions at scale.
-   Deep multi-cloud expertise across AWS, Azure, and GCP.
-   Experience managing FinOps practices and cloud cost optimization at an organizational scale.
-   Exposure to large-scale cloud infrastructure and enterprise DevOps environments.

## Must-Have Skills

-   Python
-   Bash
-   AWS

## Good-to-Have Skills

-   FinOps
-   AWS DevOps
-   OpenShift

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/74B4427262/apply)

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