# Staff Devops Engineer

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

**Salary:** INR 4,000,000–7,000,000

**Workplace:** on_site

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

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟰𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟰𝟬-𝟳𝟬 𝗟𝗣𝗔)

Experience: 10+ yrs

Location: Bengaluru

We are looking for an experienced **Principal DevOps / Site Reliability Engineer (SRE)** to lead infrastructure reliability, cloud platform engineering, automation, and performance optimisation across large-scale production systems. The ideal candidate will bring deep expertise in AWS, distributed systems, Infrastructure as Code (IaC), CI/CD, and Linux environments.

This role requires a strong engineering mindset, with a focus on building resilient, scalable, secure, and cost-efficient infrastructure. You will drive improvements in system reliability, deployment automation, observability, and operational excellence while supporting the performance and availability requirements of critical production workloads.

## Requirements

Key Responsibilities

-   Design, maintain, and optimise scalable, secure, and highly available **AWS cloud infrastructure** for large-scale production systems.
-   Drive capacity planning, infrastructure performance tuning, resource optimisation, and cloud cost management.
-   Manage and optimise AWS services, including **ECS, EC2, VPC, IAM, RDS, Kinesis, WAF, Systems Manager (SSM), and Secrets Manager**.
-   Improve production reliability, availability, resilience, and recovery capabilities across distributed systems.
-   Enhance observability through monitoring, centralised logging, distributed tracing, alerting, and operational dashboards.
-   Strengthen incident management, troubleshooting, root-cause analysis, and preventive measures for recurring production issues.
-   Design and implement infrastructure automation using **Terraform, AWS CDK, CloudFormation**, or similar Infrastructure as Code tools.
-   Develop and maintain CI/CD pipelines using **GitHub Actions, GitLab CI, Jenkins**, and related automation technologies.
-   Implement GitOps practices and improve deployment workflows to enable consistent, secure, and repeatable releases.
-   Build automation tools and utilities using **Go, Python, or Shell scripting** to reduce manual operational effort.
-   Troubleshoot complex issues involving Linux production environments, networking, system internals, and distributed application architectures.
-   Collaborate with engineering and platform teams to improve application scalability, infrastructure design, and deployment reliability.
-   Establish infrastructure standards, operational best practices, and reusable automation frameworks.
-   Drive continuous improvements in cloud security, configuration management, operational efficiency, and engineering productivity.
-   Mentor engineers and provide technical guidance on DevOps, SRE, cloud infrastructure, and production engineering practices.

What Makes You a Great Fit

-   **10+ years of experience** in DevOps, Site Reliability Engineering, Platform Engineering, or Cloud Infrastructure.
-   Strong experience operating large-scale distributed production systems, preferably within established product-based or fintech organisations.
-   Deep hands-on expertise in **AWS cloud infrastructure and services**, including compute, networking, databases, security, and monitoring.
-   Strong understanding of **Linux production environments**, system internals, networking, and troubleshooting.
-   Solid knowledge of distributed systems, asynchronous architectures, scalability, fault tolerance, and high availability.
-   Proficiency in **Go, Python, or Shell scripting** for infrastructure automation and operational tooling.
-   Expertise in Infrastructure as Code using **Terraform, AWS CDK, CloudFormation**, or equivalent tools.
-   Extensive experience designing and maintaining CI/CD pipelines and implementing GitOps practices.
-   Strong understanding of monitoring, logging, tracing, alerting, and production observability.
-   Proven ability to drive capacity planning, performance optimisation, cloud cost control, and infrastructure reliability improvements.
-   Strong problem-solving and root-cause analysis skills, with the ability to resolve complex production issues.
-   Excellent communication and cross-functional collaboration skills.
-   Ability to take ownership of critical infrastructure initiatives, make sound technical decisions, and operate effectively in a fast-paced environment.
-   A continuous-improvement mindset with a strong focus on automation, reliability, security, and operational excellence.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/50CAC9CAA8/apply)

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