Software Engineer (Full-Stack/Cloud)

New

JobgetherCloud security

Fully remote position based in India., 2:00 PM to 11:30 PM ISTFull-TimeMiddle

Salary not disclosed

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Job Details

Languages: Strong written and verbal English communication skills
Experience: 3–5+ years of professional software development experience
Required Skills: AWSGraphQLFull Stack DevelopmentKubernetesAzureRESTful APIs

Hold a Bachelor’s degree in Computer Science, Engineering, a related discipline, or have equivalent practical experience.
Have 3–5+ years of professional software development experience covering front-end and back-end development.
Have working proficiency with at least one modern front-end framework.
Have working proficiency with at least one back-end programming language or framework.
Have professional experience with at least one major public cloud platform, such as AWS or Azure.
Understand software engineering fundamentals, including data structures, APIs, testing, version control, and application development practices.
Be able to work independently on assigned features and collaborate within a distributed team.
Have strong written and verbal English communication skills.
Be comfortable using AI-assisted development and coding tools in everyday engineering work.
Experience with GraphQL or other modern API and interface technologies is advantageous.
Experience with security or compliance-related cloud capabilities, multiple cloud platforms, customer-facing applications, Kubernetes, or agentic AI coding pipelines is beneficial.

Design, develop, test, maintain, and troubleshoot features across front-end and back-end systems.
Build and enhance front-end functionality for internal tools and customer-facing portals.
Develop and support GraphQL interfaces, APIs, and other platform interface layers.
Investigate software defects across the technology stack, identify root causes, and implement solutions.
Participate in code reviews and apply engineering standards, testing practices, and version-control workflows.
Contribute to security safeguard capabilities across cloud environments.
Support services running on cloud and containerized infrastructure.
Follow data-handling and security practices when working with sensitive information.
Collaborate with onshore and offshore engineering teams across time zones and use AI-assisted coding tools responsibly.

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