DevOps Engineer

🔥 1 hour ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Weekday (YC W21)

Weekday (YC W21)

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Design, implement, and maintain scalable cloud infrastructure. • Build and optimize CI/CD pipelines. • Manage containerized applications using Docker and Kubernetes. • Automate infrastructure provisioning using Terraform or similar IaC tools. • Monitor application and infrastructure performance. • Troubleshoot production issues and improve system reliability. • Collaborate with development teams to streamline deployments. • Leverage AI-powered tools for scripting, troubleshooting, documentation, and automation.

🎯 Requirements

• 5+ years of DevOps experience. • Strong experience with AWS, Azure, or GCP. • Expertise in Docker and Kubernetes. • Hands-on experience with Terraform, CloudFormation, or Ansible. • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. • Strong Linux administration and Bash/Python scripting. • Experience with Git and version control. • Knowledge of monitoring tools such as Prometheus, Grafana, ELK, or CloudWatch. • Preferred: DevSecOps. • Preferred: Proficiency with AI tools such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar AI assistants. • Preferred: Helm. • Preferred: Python or Go. • Preferred: Microservices. • Preferred: Cloud Security. • Preferred: Kafka. • Preferred: ArgoCD. • Must-have skills: AWS, Docker, Kubernetes. • Good-to-have skills: Jenkins, AI tools, Terraform.

Apply Now

Similar Jobs

🔥 16 hours ago

Empower

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Senior DevOps Engineer automating AWS infrastructure and CI/CD for Empower’s financial SaaS products. Improving reliability, security, and developer productivity through tooling, cloud services, and automation.

Angular

Ansible

Apache

AWS

Azure

Chef

Cloud

DNS

Docker

DynamoDB

EC2

Google Cloud Platform

Java

JavaScript

Jenkins

jQuery

Kubernetes

Linux

Maven

MySQL

NGINX

Node.js

Python

React

Ruby

Splunk

Terraform

Go

🕒 Yesterday

Signalmash

51 - 200

💼 Consulting

📦 Logistics

🏥 Healthcare

DevOps Engineer owning Kubernetes, CI/CD, PostgreSQL, observability, and security for Signalmash’s cloud communications platform. Improving reliability, deployment speed, recovery, and infrastructure costs from India.

AWS

Azure

Cloud

Docker

Flux

Google Cloud Platform

Grafana

JavaScript

Kubernetes

Linux

Node.js

Postgres

Prometheus

Python

Shell Scripting

🕒 2 days ago

Neo4j

501 - 1000

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

Cloud Operations Engineer managing and troubleshooting customer Neo4j database infrastructure. Supporting deployments, monitoring, upgrades, and incidents across AWS, Azure, Google Cloud, virtual, and bare-metal environments.

Ansible

AWS

Azure

Cloud

Google Cloud Platform

Kubernetes

Linux

Neo4j

Prometheus

Terraform

🕒 6 days ago

Sphera

1001 - 5000

💼 Consulting

🏥 Healthcare

📦 Logistics

Senior DevOps Engineer supporting multiple Azure-based SaaS environments for a safer world. Collaborating on infrastructure and application performance optimization tasks.

Azure

Cloud

Firewalls

NoSQL

SDLC

SQL

Terraform

🕒 July 29

Outmarket AI

11 - 50

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

DevOps Engineer managing infrastructure and delivery platform for AI products. Focus on security, reliability, and observability while working in an AI-first environment.

Airflow

AWS

Azure

Cloud

Google Cloud Platform

Kubernetes

Python

Terraform