Weekday AI

Proactive software engineer recruitment via referrals

Lead DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours

Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

At least 5 years of hands-on experience in DevOps and cloud infrastructure engineering.
Practical expertise in Kubernetes and Docker for container orchestration and application deployment.
Experience building and managing CI/CD pipelines using Jenkins.
Proficiency in Terraform and Infrastructure as Code practices.
Hands-on experience with GCP services, particularly GKE, Cloud SQL, Redis, Pub/Sub, virtual machines, and Vertex AI.
Strong knowledge of Linux administration, system troubleshooting, and networking fundamentals.
Experience with monitoring and observability tools, including Grafana, Prometheus, and Thanos.
Proficiency in Shell scripting and Python for automation and operational efficiency.
Experience managing production-grade, distributed, cloud-native systems.
Knowledge of cloud security, disaster recovery, and high-availability architecture.
Familiarity with performance optimization, incident management, and cost optimization on GCP.
Experience working with AI/ML infrastructure and cloud-based AI services.

Responsibilities

Design, deploy, and maintain scalable cloud infrastructure on GCP, leveraging services such as GKE, Cloud SQL, Redis, Pub/Sub, virtual machines, and Vertex AI.
Manage Kubernetes clusters and Docker-based applications, ensuring efficient container orchestration, resource utilization, scalability, and high availability.
Build, maintain, and optimize CI/CD pipelines using Jenkins and related automation tools to enable reliable and frequent software releases.
Implement and manage infrastructure provisioning, configuration, and lifecycle automation using Terraform, following Infrastructure as Code best practices.
Develop and maintain monitoring and alerting solutions using Grafana, Prometheus, and Thanos to track system health, identify performance bottlenecks, and troubleshoot production issues.
Apply Linux administration and networking fundamentals to manage servers, troubleshoot connectivity issues, optimize performance, and maintain infrastructure security.
Develop automation scripts using Shell and Python to simplify repetitive operational tasks, improve deployment workflows, and reduce manual intervention.
Establish best practices for infrastructure security, access management, backup strategies, disaster recovery, and incident response.
Guide DevOps initiatives, collaborate with cross-functional teams, conduct technical reviews, and drive continuous improvement across infrastructure and deployment processes.

Desired Qualifications

Experience managing production-grade, distributed, cloud-native systems.
Knowledge of cloud security, disaster recovery, and high-availability architecture.
Familiarity with performance optimization, incident management, and cost optimization on GCP.
Experience working with AI/ML infrastructure and cloud-based AI services.

Lead DevOps Engineer

Weekday AI · Mumbai, India · Full-time · Posted 2026-10-27

Workplace: on_site

Department: Weekday's Client via platform

Description

This role is for one of Weekday’s clients

Min Experience: 5+ years
Location: Mumbai, Maharashtra, India
JobType: full-time

Must-have Skills: DevOps, Cloud Infrastructure, Kubernetes
Key Technologies: Docker, Jenkins, Terraform, GCP, GKE, Cloud SQL, Redis, Pub/Sub, Vertex AI, Linux, Grafana, Prometheus, Thanos, Shell Scripting, Python

About the Role

We are looking for an experienced Lead DevOps Engineer to lead the design, implementation, and optimization of scalable, reliable, and secure cloud infrastructure. The ideal candidate will have strong hands-on expertise in DevOps, cloud infrastructure, Kubernetes, containerization, and infrastructure automation. You will be responsible for managing cloud-native environments, building robust CI/CD pipelines, improving system reliability, and enabling seamless application deployments.

This role requires a strong understanding of Google Cloud Platform (GCP), infrastructure as code, monitoring, and observability. You will collaborate with engineering and development teams to streamline deployment processes, enhance operational efficiency, and ensure high availability across production systems.

Requirements

Key Responsibilities

Cloud Infrastructure Management: Design, deploy, and maintain scalable cloud infrastructure on Google Cloud Platform (GCP), leveraging services such as Google Kubernetes Engine (GKE), Cloud SQL, Redis, Pub/Sub, virtual machines, and Vertex AI.
Kubernetes and Containerization: Manage Kubernetes clusters and Docker-based applications, ensuring efficient container orchestration, resource utilization, scalability, and high availability.
CI/CD Pipeline Development: Build, maintain, and optimize continuous integration and continuous deployment pipelines using Jenkins and related automation tools to enable reliable and frequent software releases.
Infrastructure as Code: Implement and manage infrastructure provisioning, configuration, and lifecycle automation using Terraform, following Infrastructure as Code (IaC) best practices.
Monitoring and Observability: Develop and maintain monitoring and alerting solutions using Grafana, Prometheus, and Thanos to track system health, identify performance bottlenecks, and troubleshoot production issues.
Linux and Networking: Apply strong Linux administration and networking fundamentals to manage servers, troubleshoot connectivity issues, optimize performance, and maintain infrastructure security.
Scripting and Automation: Develop automation scripts using Shell and Python to simplify repetitive operational tasks, improve deployment workflows, and reduce manual intervention.
Reliability and Security: Establish best practices for infrastructure security, access management, backup strategies, disaster recovery, and incident response.
Technical Leadership: Guide DevOps initiatives, collaborate with cross-functional teams, conduct technical reviews, and drive continuous improvement across infrastructure and deployment processes.

Must-Have Skills and Qualifications

5–9 years of hands-on experience in DevOps and cloud infrastructure engineering.
Strong practical expertise in Kubernetes and Docker for container orchestration and application deployment.
Experience building and managing CI/CD pipelines using Jenkins.
Proficiency in Terraform and Infrastructure as Code practices.
Hands-on experience with GCP services, particularly GKE, Cloud SQL, Redis, Pub/Sub, virtual machines, and Vertex AI.
Strong knowledge of Linux administration, system troubleshooting, and networking fundamentals.
Experience with monitoring and observability tools, including Grafana, Prometheus, and Thanos.
Proficiency in Shell scripting and Python for automation and operational efficiency.
Strong problem-solving, communication, collaboration, and technical leadership skills.

Good-to-Have Skills

Experience managing production-grade, distributed, cloud-native systems.
Knowledge of cloud security, disaster recovery, and high-availability architecture.
Familiarity with performance optimization, incident management, and cost optimization on GCP.
Experience working with AI/ML infrastructure and cloud-based AI services.

Apply

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About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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