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AWS Cloud Infra and DevOps Engineer

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Onsite

AWS Cloud Infra and DevOps Engineer

Tringapps Research Labs

AWS Cloud Infra and DevOps Engineer

Skills

DockerPythonGolangMicroservicesAmazon EC2AWS LambdaGitLabJenkinsDatadogGrafanaMachine LearningAIAWSPrometheusGitHubKubernetesComplianceTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


[email protected] Role: AWS Cloud Infra and DevOps Engineer

Mandatory Skills: AWS services, including EC2, EKS, Lambda, IAM, and RDS, infrastructure as
code (IaC), anyone scripting language-(Python OR Bash OR Go) & Orchestration OR Kubernetes & AI
Tool Integration-Generative AI

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 & Qualifications
  • 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.

Email ID - [email protected]

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