Weekday AI

DevOps Engineer

Weekday AI Kolkata, West Bengal, India 3 days ago
engineering

This role is for one of the Weekday's clients

Min Experience: 3 years

Location: Kolkata

JobType: full-time

We are seeking a highly skilled DevOps Engineer with strong hands-on expertise in Google Cloud Platform (GCP) and a deep understanding of modern cloud-native infrastructure, CI/CD pipelines, and scalable deployment practices. The ideal candidate will be responsible for designing, automating, optimizing, and supporting infrastructure and application deployments across mission-critical environments. This role requires a blend of technical depth, problem-solving ability, and a strong sense of ownership for delivering reliable and efficient cloud solutions.

Requirements

Key Responsibilities

Cloud Infrastructure & Platform Engineering

  • Architect, deploy, and manage scalable infrastructure on Google Cloud Platform, including Compute, Storage, Networking, IAM, Cloud Monitoring, and Logging.
  • Implement and manage Cloud Run services for running serverless applications and containerized workloads.
  • Work extensively with Google App Engine to deploy, monitor, and optimize application performance in a fully managed environment.
  • Build and maintain container orchestration using Kubernetes (GKE preferred), ensuring high availability, resilience, and cost-efficient operations.
  • Manage and optimize MongoDB deployments, including provisioning, performance tuning, replication, and backup automation.

CI/CD & Automation

  • Design, implement, and maintain automated CI/CD pipelines using tools such as Cloud Build, GitHub Actions, or Jenkins.
  • Develop robust automation frameworks for infrastructure provisioning using Terraform, Google Deployment Manager, or equivalent IaC tools.
  • Automate configuration management, environment provisioning, and application deployments to ensure consistency, repeatability, and speed.
  • Champion best practices for DevOps, including shift-left testing, zero-downtime deployments, and GitOps methodologies.

Monitoring, Reliability & Security

  • Implement comprehensive monitoring, observability, and alerting systems using GCP native tools (Cloud Monitoring, Cloud Logging) and third-party solutions.
  • Troubleshoot environment issues, analyze root causes, and continuously improve system reliability, scalability, and maintainability.
  • Collaborate with Engineering, QA, and Security teams to enforce cloud governance, IAM policies, data protection, and compliance standards.
  • Perform capacity planning, cost optimization, performance tuning, and resource usage analysis across cloud infrastructure.

Collaboration & Stakeholder Management

  • Work closely with product engineering teams to understand system requirements and implement scalable, secure, and automated infrastructure solutions.
  • Provide guidance and support on DevOps principles, cloud best practices, and operational excellence across teams.
  • Document system architectures, operational runbooks, and deployment processes to ensure knowledge continuity and transparency.
  • Participate in on-call rotations, ensuring rapid incident response and high service availability.

Required Skills & Qualifications

  • 3–8 years of hands-on DevOps, Site Reliability Engineering, or Cloud Engineering experience.
  • Deep expertise with Google Cloud Platform, including Compute, Networking, IAM, Cloud SQL, Cloud Run, Cloud Functions, and App Engine.
  • Strong proficiency with Kubernetes (preferably GKE) and containerization tools such as Docker.
  • Experience managing and optimizing MongoDB in production environments.
  • Strong scripting skills (Python, Bash, or Go) for automation and tooling.
  • Hands-on experience with CI/CD tools, infrastructure as code (Terraform preferred), and cloud-native deployment workflows.
  • Solid understanding of networking, security best practices, monitoring, and distributed systems.
  • Ability to diagnose complex issues, drive improvements, and collaborate in a cross-functional team environment.

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