Remote Senior full stack engineer Jobs – 120 Open Jobs Today

AI Powered DevOps Engineer
Mobileprogramming PVT LTD —Remote
- ₹8,99,000 - ₹13,00,000 a year
- Full-time
- Remote
- Azure
- Software troubleshooting
- DevOps
Quick apply
10d
Software Development Engineer III (Fullstack ) - Workflows
HighLevel —Remote
- Remote
- DevOps
- System design
- Databases
Front End Developer
Blessing Softtech —Remote
- From ₹1,00,000 a year
- Full-time
- Remote
- English
- JavaScript
- APIs
- Commuter assistance
- Flexible schedule
Quick apply
INDEPENDENT TECHNICAL INTERVIEWER / FRACTIONAL CTO
Nice Backyard —Remote
- ₹15,000 - ₹35,000 a month
- Remote
- AWS
- JavaScript
- APIs
Quick apply
2d
Senior Database Reliability Engineer
Sezzle —Remote
- ₹5,000 - ₹9,500 a month
- Full-time
- Remote
- Computer Science
- Research
- SQL
13d
Senior Android Engineer – VPN/Networking
Fusemachines —Remote
- Full-time
- Remote
- Java
- C++
- APIs
Technical Lead .net/ang/azure
3Pillar —Remote
- Full-time
- Remote
- Azure
- English
- Java
Game Developer / Interactive Experience Engineer
AMDG Collective LLP —Remote
- From ₹500 an hour
- Remote
- English
- C++
- JavaScript
Quick apply
12d
Senior Software developer - React and Frontend - Voice AI core platform
NWORX.AI —Remote
- ₹6,73,086.13 - ₹8,00,000.00 a year
- Full-time
- Remote
- Master's degree
- AI
- Work from home
- Flexible schedule
Quick apply
10d
Full Stack Engineering (Django/Python) - Internship (WFH & Part Time)
colleenn.com —Remote
- ₹1,000 - ₹1,500 a month
- Part-time
- Remote
- JavaScript
- APIs
- AI
- Work from home
- Flexible schedule
Quick apply
8d
Software Development Engineer III - Conversations
HighLevel —Remote
- Remote
- AWS
- APIs
- AI
OPT Recruiter
Hirelytics Connect —Remote
- ₹18,301.60 - ₹35,987.71 a month
- Full-time
- Remote
- Microsoft Excel
- Salesforce
- Microsoft Office
- Work from home
Quick apply
Software Engineer, Frameworks
Ethernovia, Inc. —Remote
- Remote
- Computer Science
- Master's degree
- Databases
- Paid time off
- Flexible schedule
Quick apply
Java + React FSE
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
Conversational AI Intern
Techolution —Remote
- Full-time
- Remote
- AI
- Internship
- Python
- Health insurance
5d
PHP Laravel Developer
Miracuves —Remote
- ₹6,000 - ₹15,000 a month
- Full-time
- Remote
- Computer Science
- B.Sc
- Master's degree
- Work from home
- Paid sick time
Quick apply
Security Dashboard Engineer / Technical Lead
Kasmoprav —Remote
- ₹90,000 - ₹1,00,000 a month
- Remote
- Azure
- SQL
- AWS
Quick apply
Oracle (8-11yrs) - APP technical/ Siebel Consultant - Techno functional
Sunshine Workforce Solutions —Remote
- ₹12,00,000 - ₹15,00,000 a year
- Remote
- Oracle
- Computer Science
- Salesforce
Quick apply
Principal Backend Engineer
SupplyHouse.com —Remote
- ₹50,000 - ₹60,000 a year
- Full-time
- Remote
- Oracle
- Computer Science
- System design
- Work from home
- Paid sick time

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Senior Full Stack Developer (Contractor)
Kisi —Remote
In this role, you will design, develop, and optimize sophisticated web applications, mentor junior developers, and collaborate with cross-functional teams to…
Quick apply
3d
Tech Lead - Full Time
Lief —Remote
Architect and ship scalable features on our full-stack SaaS platform. 5–8 years of total experience in full-stack product development.
₹28,00,000 - ₹35,00,000 a year

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AI Powered DevOps Engineer

Mobileprogramming PVT LTD -
Remote

Quick apply

Job details

Full-time
₹8,99,000 - ₹13,00,000 a year
10 days ago

Qualifications

CI/CD
Cloud infrastructure
Azure
Law
Software troubleshooting
Kubernetes
Ansible
Software deployment
DevOps
Git
Master's degree
AWS
Docker
Cloud security
Machine learning
Terraform
Continuous integration
Computer networking
GitHub
APIs
Linux
AI
Jenkins
Python
Shell Scripting

Full job description

AI Powered DevOps Engineer

Location: Remote, India
Job Type: Full-time
Experience: 7+ Years
Department: DevOps / Cloud Engineering / AI

About the Role

We are seeking a senior AI Powered DevOps Engineer to modernize software delivery and infrastructure operations through automation, cloud engineering, and artificial intelligence.

This role is ideal for an experienced DevOps professional who understands traditional CI/CD and cloud infrastructure while also exploring how Generative AI, AI agents, AIOps, and LLM-based automation can improve engineering productivity, observability, incident response, and operational efficiency.

You will work with development, platform, security, and machine learning teams to build resilient infrastructure and intelligent engineering workflows.

Key Responsibilities

Design, implement, and maintain scalable CI/CD pipelines for enterprise applications.
Develop automated software delivery workflows using tools such as Jenkins, GitHub Actions, and Azure DevOps.
Manage infrastructure using Terraform and Terraform Enterprise (TFE).
Automate configuration and operational tasks using Ansible and Python.
Build and manage containerized workloads using Docker and Kubernetes.
Work across AWS, Azure, and GCP environments to support cloud infrastructure and application deployments.
Develop reusable infrastructure modules and establish infrastructure-as-code standards.
Improve deployment reliability, speed, security, and operational consistency.
Integrate AI-powered capabilities into DevOps processes to reduce manual operational effort.
Explore and implement Generative AI and AI-agent solutions for engineering automation.
Develop workflows using LLM APIs and frameworks such as LangChain where appropriate.
Evaluate opportunities for AI-assisted troubleshooting, code analysis, deployment support, and operational automation.
Contribute to MLOps and LLM deployment practices for AI-based applications.
Design monitoring and observability solutions using tools such as Prometheus, Grafana, and ELK Stack.
Analyze infrastructure and application metrics to identify performance and reliability issues.
Support incident investigation, root-cause analysis, and post-incident improvements.
Automate repetitive operational tasks using shell scripting and Python.
Implement appropriate logging, alerting, health checks, and recovery mechanisms.
Apply security best practices across cloud infrastructure, pipelines, containers, and deployment processes.
Collaborate with developers and architects to improve application delivery and infrastructure design.
Document infrastructure architecture, operational processes, and automation solutions.

Required Skills & Experience

7+ years of professional experience in DevOps, Cloud Engineering, Platform Engineering, or related disciplines.
Strong experience designing and managing CI/CD pipelines.
Hands-on expertise with Jenkins, GitHub Actions, or Azure DevOps.
Strong knowledge of Terraform, including enterprise infrastructure-management concepts.
Experience with Ansible and infrastructure automation.
Strong hands-on experience with Docker and Kubernetes.
Experience working with one or more major cloud platforms: AWS, Azure, or GCP.
Strong scripting capabilities using Python and/or Shell.
Good understanding of Linux systems and cloud infrastructure.
Experience with monitoring and observability platforms such as Prometheus, Grafana, or ELK.
Familiarity with Generative AI, LLMs, AI agents, or AI-assisted engineering workflows.
Understanding of secure software delivery and infrastructure practices.
Strong troubleshooting and problem-solving skills.

AI & AIOps Responsibilities

The successful candidate will help identify areas where AI can improve DevOps operations, including:

Intelligent incident analysis.
Automated log and error investigation.
AI-assisted root-cause analysis.
Automated operational recommendations.
Intelligent infrastructure monitoring.
LLM-powered engineering assistants.
AI-supported deployment and release workflows.
Automated documentation and knowledge retrieval.
Predictive identification of infrastructure or application issues.

Preferred Skills

Experience integrating OpenAI APIs or comparable LLM services.
Knowledge of LangChain or similar AI-agent frameworks.
Experience deploying LLM-powered services.
Familiarity with MLOps platforms and machine learning deployment workflows.
Understanding of Kubernetes-based AI workloads.
Experience implementing AI-powered observability or AIOps solutions.
Knowledge of cloud security and identity-management concepts.
Experience with service meshes or cloud-native networking.
Familiarity with GitOps methodologies.

Pay: ₹899,000.00 - ₹1,300,000.00 per year

Work Location: Remote

Quick apply

Refine Your Search

senior full stack engineer jobs in remote

AI Powered DevOps Engineer

Software Development Engineer III (Fullstack ) - Workflows

Front End Developer

INDEPENDENT TECHNICAL INTERVIEWER / FRACTIONAL CTO

Senior Database Reliability Engineer

Senior Android Engineer – VPN/Networking

Technical Lead .net/ang/azure

Game Developer / Interactive Experience Engineer

Senior Software developer - React and Frontend - Voice AI core platform

Full Stack Engineering (Django/Python) - Internship (WFH & Part Time)

Software Development Engineer III - Conversations

OPT Recruiter

Software Engineer, Frameworks

Java + React FSE

Conversational AI Intern

PHP Laravel Developer

Security Dashboard Engineer / Technical Lead

Oracle (8-11yrs) - APP technical/ Siebel Consultant - Techno functional

Principal Backend Engineer

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