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Hiring For AWS Cloud Infra and DevOps Engineer with Tenarai

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Hybrid

Hiring For AWS Cloud Infra and DevOps Engineer with Tenarai

TENARAI TECHNOLOGIES PRIVATE LIMITED

Hiring For AWS Cloud Infra and DevOps Engineer with Tenarai

Skills

DockerPythonGolangMicroservicesAmazon EC2AWS LambdaGitLabJenkinsDatadogGrafanaMachine LearningAIAWSPrometheusGitHubKubernetesComplianceTerraform

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

17 September 2026

What they need


Exp: 7-12 Yrs

Location: Bangalore

Mode: Hybrid (3 days in a week WFO)

Notice period: 0-15 Days

Job Description:

Key Responsibilities

AI-Assisted IaC Automation

Author and manage production-grade Infrastructure as Code (IaC) templates using HashiCorp Terraform or AWS

CloudFormation.

Accelerate script creation and optimization by embedding AI agents like GitHub Copilot or Cursor IDE into daily

workflows.

Build automated AI platforms to actively identify discrepancies between your declared configurations and live

AWS resource environments.

Intelligent CI/CD Pipelines

Design, scale, and optimize zero-downtime continuous deployment workflows via GitLab CI/CD, Jenkins, or

GitHub Actions.

Deploy secure microservices across containerized environments utilizing Docker and Amazon Elastic Kubernetes

Service (EKS).

Integrate AI-driven automated testing and compliance checking directly inside containerized release gates.

AIOps & Observability

Establish real-time tracking, metrics, and alerting infrastructure with Datadog, Prometheus, and Grafana.

Deploy specialized AI log parsing agents to automatically evaluate system logs and accelerate root cause analysis.

Prevent system failures by utilizing machine learning models to identify anomalies before they impact end users.

Cost Optimization & FinOps

Evaluate complex architecture billing trends using custom-built or integrated AI cost analysis frameworks.

Proactively right-size compute engines, adjust Amazon S3 storage classes, and manage AWS Savings Plans.

Minimize ongoing cloud expenditure without sacrificing system velocity or fault tolerance.

Required Skills &

Cloud Infrastructure: Deep technical proficiency with core AWS services, including EC2, EKS, Lambda, IAM, and RDS.

Automation Engineering: Strong mastery of IaC paradigms along with rapid script authoring in Python, Bash, or Go.

AI Tool Integration: Direct experience using Generative AI engines to accelerate code reviews, build configuration files, or generate pipelines.

Orchestration: Comprehensive mastery of container platforms and Kubernetes cluster management.

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