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For Employers

DevOps Engineer

Weekday AI (YC W21)

3 years

0 Lacs

greater kolkata area

Posted:7 hours ago| Platform:

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Skills Required

devops deployment engineering storage networking iam monitoring logging orchestration kubernetes mongodb provisioning tuning replication backup automation design github jenkins terraform automate configuration management consistency testing gitops reliability security gcp analyze scalability governance data compliance planning optimization analysis collaboration support transparency service sql containerization docker scripting python tooling code drive

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 3 yearsLocation: KolkataJobType: full-timeWe 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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DevOps Engineer