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DevOps Engineer (Automation AI and API Integration )

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Hybrid

DevOps Engineer (Automation AI and API Integration )

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DevOps Engineer (Automation AI and API Integration )

Skills

Google Cloud PlatformDockerPythonTesting & QAGitJenkinsGrafanaAIAWSAnsiblePrometheusLinuxKubernetesComplianceTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,400,000 – ₹2,000,000 / year

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

4 September 2026

What they need


Role Title DevOps Engineer Automation AI API Integration

We are looking for a versatile DevOps Engineer to design build and operate the automation backbone of our platform You will own CICD pipelines infrastructure automation and the integration of AIdriven capabilities into our engineering workflows The ideal candidate blends strong handson DevOps skills Ansible Jenkins Python with a working knowledge of APIs and emerging AI engineering practices

What Youll Do

Design build and maintain CICD pipelines using Jenkins declarative pipelines shared libraries multibranch workflows

Develop infrastructureascode and configuration management with Ansible playbooks roles dynamic inventories Ansible Vault

Write robust automation tooling and scripts in Python for provisioning orchestration monitoring and remediation

Build and consume RESTGraphQL APIs to integrate internal and thirdparty systems orchestrate services and enable selfservice tooling

Integrate AIML capabilities into engineering workflows eg LLMassisted automation intelligent ing prompt engineering and RAGbased internal tools

Automate build test release and deployment processes to reduce manual effort and increase delivery velocity

Implement observability logging metrics tracing and ing for services and pipelines

Champion security and reliability best practices secrets management leastprivilege access automated compliance checks

Collaborate with development QA and security teams to continuously improve the delivery lifecycle

Required Skills Experience

5 years of handson DevOps Site Reliability Automation engineering experience

Strong expertise with Ansible for configuration management and automation

Proficiency in Python for scripting tooling and automation

Solid experience with Jenkins and CICD pipeline design

Practical API knowledge designing consuming testing and securing RESTful APIs auth rate limiting versioning

Experience with version control Git and branchingrelease strategies

Familiarity with Linux systems administration and shell scripting

Understanding of containerization and orchestration Docker Kubernetes a plus

Cloud experience AWS Azure or GCP a plus

AI Engineering Experience

Exposure to AILLM engineering concepts prompt engineering model APIs OpenAI Anthropic Azure OpenAI etc embeddings and RAG pipelines

Ability to integrate AI services via APIs into automation and operational tooling

Interest in applying AI to DevOps predictive scaling anomaly detection automated incident response and ChatOps

Nice to Have

InfrastructureasCode with Terraform

Experience with monitoring stacks Prometheus Grafana ELK

Knowledge of security automation and vulnerability management workflows

Familiarity with message queues eventdriven architectures

What Success Looks Like

Reliable selfhealing pipelines that ship code safely and frequently

Repeatable versioned infrastructure with minimal manual intervention

AIassisted tooling that measurably improves developer productivity and operational response times

Soft Skills

Strong problemsolving and troubleshooting mindset

Clear written and verbal communication

Ownership mentality and a bias toward automation

Collaborative crossfunctional team player

Skills

Mandatory Skills : Ansible, Automation, GCP DevOps

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