Jobs › Companies › Weekday AI › Lead DevOps Engineer

About this Lead DevOps Engineer role at Weekday AI

Weekday AI · Onsite · Bengaluru, Karnataka, India

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
Ready to apply to Weekday AI?
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About 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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