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Full stack software engineer + Python + C

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Hybrid

Full stack software engineer + Python + C

Grace Hire

Full stack software engineer + Python + C

Skills

DockerReactPythonDevOpsMicroservicesAWS LambdaGitLabCypressAWSKubernetesServiceNowTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,000,000 – ₹1,200,000 / year

Location:

India

Work mode:

Hybrid

Published on:

13 August 2026

What they need


  • Required Skills:

5 to 8+ years of overall IT experience with strong expertise in AWS and/or Azure cloud platforms.
Hands-on experience with Infrastructure as Code (IaC) using Terraform.
Strong backend development experience using .NET and Python, along with frontend development using ReactJS.
Experience designing and developing Microservices and API-first architectures.
Hands-on experience with AWS Lambda and/or Azure Functions for cloud-native applications.
Strong knowledge of GitLab CI/CD pipelines, Git workflows, and DevOps best practices.
Experience implementing unit, integration, and end-to-end testing using xUnit, NUnit, Jest, or Cypress.
Good understanding of cloud security, application monitoring, logging, incident management, and operational support.
Familiarity with ServiceNow or similar ITSM tools.
Excellent analytical, problem-solving, and communication skills with the ability to work independently.

  • Responsibilities:

    Design, develop, deploy, and support cloud-native applications on AWS and Azure.
    Build and manage Infrastructure as Code (IaC) using Terraform.
    Develop backend services using .NET and Python, and frontend applications using ReactJS.
    Design and implement Microservices, REST APIs, and cloud-native services using AWS Lambda and Azure Functions.
    Build, maintain, and optimize GitLab CI/CD pipelines while automating build, testing, and deployment processes.
    Write, review, and maintain secure, scalable, and high-quality code following architectural and security standards.
    Implement unit, integration, and end-to-end testing as part of CI/CD pipelines.
    Monitor applications and cloud infrastructure, troubleshoot production issues, support incident resolution, and ensure operational excellence.
    Deliver end-to-end engineering solutions with minimal dependency on client engineering teams.

  • Preferred:

Experience with Docker, Kubernetes, and containerized deployments.
Knowledge of cloud monitoring tools such as CloudWatch, Azure Monitor, or Application Insights.
Experience with DevSecOps, security best practices, and performance optimization.
Exposure to Agile/Scrum methodologies and enterprise cloud transformation projects.
Experience working in multi-cloud environments and implementing scalable, highly available cloud-native applications is an added advantage.

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