Vadodara Gujarat Site reliability engineer Jobs – 2 Open Jobs Today

AI & DevOps Engineer
SI2 Tech —Vadodara, Gujarat
- Full-time
- Oracle
- Computer Science
- DevOps
1d
Full-Stack Software Engineer | AI Products
kaistudio —Vadodara, Gujarat
- From ₹15,000 a month
- Full-time
- Master's degree
- Databases
- SQL
Quick apply
4d

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AI & DevOps Engineer

SI2 Tech -
Vadodara, Gujarat

Apply Now

Job details

Full-time
1 day ago

Qualifications

BCS
CI/CD
Cloud infrastructure
Oracle
Computer Science
MCP
Kubernetes
Ansible
Software deployment
DevOps
MongoDB
Databases
SQL
Database administration
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
PostgreSQL
Terraform
Continuous integration
Splunk
REST
Scripting
APIs
Predictive analytics
Data science
AI
Communication skills
Python
Shell Scripting
MySQL
Information Technology

Full job description

Location: Vadodara, Gujarat (On-Site)

Job Type: Full Time / Onsite

Experience: 3 – 5 Years

Shift: Evening & Night Shift

Department: IT Infrastructure

Job Summary

We are looking for an AI DevOps Engineer with expertise in AI/ML, LLMs, observability, and automation to develop intelligent solutions that improve system reliability and operational efficiency. The role involves building AI-driven capabilities for monitoring, anomaly detection, predictive analytics, incident response, log analytics, and root cause analysis across enterprise applications, databases, and cloud infrastructure.

Key Responsibilities

Design, develop, and deploy AI-powered solutions to improve system reliability, automate incident response, and optimize enterprise operations.
- Build AI-driven capabilities for anomaly detection, event correlation, predictive analytics, root cause analysis, and intelligent operational insights using AI/ML, LLMs, and AI Agents.
- Design and implement AI-driven automation for infrastructure monitoring, database operations, performance optimization, capacity planning, and operational recommendations.
Design and optimize enterprise observability solutions using metrics, logs, traces, and events to provide end-to-end visibility across applications and infrastructure.
- Develop and deploy AI-powered log analytics and operational intelligence solutions using Machine Learning, LLMs, RAG, and AI frameworks.
- Develop, deploy, and maintain AI/ML models for observability, predictive operations, and intelligent IT automation.

Must-Have Skills

Develop automation using Python, SQL, Shell scripting, REST APIs, Infrastructure as Code (IaC), and CI/CD practices.
Enterprise database administration, observability, automation, and Artificial Intelligence (AI) to improve system reliability, operational efficiency, and service availability
The candidate will develop intelligent AIOps solutions by leveraging AI/ML, Large Language Models (LLMs), and modern observability platforms to enhance IT operations and automation.
They will drive automation for monitoring, anomaly detection, log analytics, predictive operations, incident response, and root cause analysis across enterprise applications, databases, and cloud infrastructure.

Good-to-Have Skills

Manage and support enterprise applications, databases (Oracle, PostgreSQL, MySQL, MongoDB), cloud platforms.
Collaborate with infrastructure, cloud, DevOps, database, security, and application teams to drive operational excellence.
Evaluate and implement emerging AI technologies, LLMs, MCP, AI Agents, and automation frameworks to continuously improve enterprise IT operations.
Maintain technical documentation, architecture standards, and operational best practices.

Job Requirements

Bachelor’s degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.
3-5 years of experience in AIOps, DevOps or related enterprise operations roles.
Strong programming skills in Python, SQL, Shell scripting, REST APIs, and automation frameworks.
Hands-on experience developing and deploying AI/ML solutions for AIOps, observability, automation, or intelligent IT operations.
Experience building or deploying ML models for anomaly detection, predictive analytics, log analysis, event correlation, and operational intelligence.
Experience with LLMs, RAG, AI Agents, MCP, LangChain, or similar AI frameworks.
Knowledge of AI model deployment, MLOps, model lifecycle management, and operational AI pipelines.
Strong experience with enterprise observability platforms such as Grafana, Prometheus, OpenTelemetry, Elastic/OpenSearch, Splunk, Datadog, or Dynatrace.
Exposure with Kubernetes, Docker, container platforms, cloud infrastructure (AWS preferred), and on-premises environments.
Exposure to enterprise databases including Oracle, PostgreSQL, MySQL, and MongoDB.
Experience with Infrastructure as Code (Terraform, Ansible, or equivalent), CI/CD pipelines, and automation tools.
Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills.
Relevant certifications in Cloud, Kubernetes, AI/ML, Observability, Database, or DevOps technologies are an added advantage.

Job Category: AI & DevOps Engineer

Job Type: Full Time / Onsite

Job Location: Vadodara, Gujarat (On-Site)

Apply Now

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