Location: Hyderabad, India
Type: Full-Time (100% Onsite; occasional Work From Home flexibility)
Experience: 3–4 Years

Role Overview

We are seeking an AWS Developer with a strong background in Python and cloud-native application development. The ideal candidate will have experience deploying, managing, and supporting production applications on AWS. You will collaborate with our U.S. and India-based teams to build scalable, secure, and efficient cloud applications.

Key Responsibilities

• Design, develop, and deploy applications on AWS (EKS, EC2, Lambda, S3, API Gateway, etc.).
• Write and optimize backend code using Python.
• Manage CI/CD pipelines, automate deployments, and monitor system performance.
• Troubleshoot production issues and provide on-call/alternate schedule support as needed.
• Work closely with data and AI teams to integrate APIs and AI models into production.
• Ensure best practices in cloud security, monitoring, and cost optimization.

Required Skills

• 3–4 years of hands-on experience with AWS services.
• Strong proficiency in Python (Flask, FastAPI, or Django preferred).
• Experience with application deployment and production support.
• Understanding of CI/CD tools (CodePipeline, Jenkins, GitHub Actions, etc.).
• Familiarity with IaC tools (CloudFormation or Terraform).
• Strong debugging, monitoring, and problem-solving skills.

Preferred Qualifications

• AWS Certification (Developer, Architect, or DevOps) – plus.
• Experience with Docker, ECS, or EKS.
• Exposure to AI/ML integrations or REST API development.
• BTech in Computer Science.

Benefits

• Competitive salary with health insurance.
• Paid leaves and holidays.
• Work on cutting-edge Generative AI and Cloud projects.
• Collaborative work culture with U.S. client exposure.

Work Schedule

• Full-time onsite role at our Hyderabad office (Hitech City).
• Occasional Work From Home flexibility.
• May include alternate schedule support for production environments.

Location: Hyderabad, India
Type: Full-Time (100% Onsite; occasional Work From Home flexibility)
Experience: 1–2 Years

Role Overview

We are seeking an AWS Developer with a strong background in Python and cloud-native application development. The ideal candidate will have experience deploying, managing, and supporting production applications on AWS. You will collaborate with our U.S. and India-based teams to build scalable, secure, and efficient cloud applications.

Key Responsibilities

• Design, develop, and deploy applications on AWS (EKS, EC2, Lambda, S3, API Gateway, etc.).
• Write and optimize backend code using Python.
• Manage CI/CD pipelines, automate deployments, and monitor system performance.
• Troubleshoot production issues and provide on-call/alternate schedule support as needed.
• Work closely with data and AI teams to integrate APIs and AI models into production.
• Ensure best practices in cloud security, monitoring, and cost optimization.

Required Skills

• 1–2 years of hands-on experience with AWS services.
• Strong proficiency in Python (Flask, FastAPI, or Django preferred).
• Experience with application deployment and production support.
• Understanding of CI/CD tools (CodePipeline, Jenkins, GitHub Actions, etc.).
• Familiarity with IaC tools (CloudFormation or Terraform).
• Strong debugging, monitoring, and problem-solving skills.

Preferred Qualifications

• AWS Certification (Developer, Architect, or DevOps) – plus.
• Experience with Docker, ECS, or EKS.
• Exposure to AI/ML integrations or REST API development.
• BTech in Computer Science.

Benefits

• Competitive salary with health insurance.
• Paid leaves and holidays.
• Work on cutting-edge Generative AI and Cloud projects.
• Collaborative work culture with U.S. client exposure.

Work Schedule

• Full-time onsite role at our Hyderabad office (Hitech City).
• Occasional Work From Home flexibility.
• May include alternate schedule support for production environments.

Location: Hyderabad, India
Type: Full-Time (100% Onsite; occasional Work From Home flexibility)
Experience: 3–5 Years

Role Overview

We are looking for a QA Engineer with strong experience in testing modern web applications combined with hands-on experience as an LLM Data Annotator. The ideal candidate should be comfortable working with model outputs, guidelines, frontend testing tools, and collaborating with distributed teams. This is a remote role requiring availability during US EST hours.

Key Responsibilities

• Strong LLM data annotator with prior experience working with model outputs and annotation guidelines.
• Write functional and end-to-end tests for frontend apps using Playwright.
• Solid understanding of React and TypeScript to test component behavior, UI interactions, and user flows.
• Evaluate test coverage, identify gaps or edge cases, and propose improvements.
• Ability to validate requirements and translate them into clear and detailed test scenarios.
• Collaborate with developers and product teams to ensure high-quality model outputs and application behavior.

Required Skills

• 3–5 years of experience in QA Engineering or software testing.
• Hands-on experience in LLM data annotation, reviewing model outputs, and following structured guidelines.
• Strong background in frontend testing.
• Good understanding of JavaScript/TypeScript code and application structure.
• Excellent analytical, reasoning, and problem-solving abilities.
• Strong communication skills (mandatory).

Good-to-Have Skills

• Experience with TypeScript-based automation frameworks.
• Background testing AI/ML products or annotation platforms.

Other Requirements

• Must be based in Hyderabad, India.
• Must be willing to work US EST time zone hours.
• Self-driven, detail-oriented, and able to work independently in remote environments.

Benefits

• Competitive salary with health insurance.
• Paid leaves and holidays.
• Work on cutting-edge Generative AI and Cloud projects.
• Collaborative work culture with U.S. client exposure.

Work Schedule

• Full-time onsite role at our Hyderabad office (Hitech City).
• Occasional Work From Home flexibility.
• May include alternate schedule support for production environments.