Sr Associate Software Engineer

Amgen Technology; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Amgen Technology in Hyderabad, India seeks a Level4Sr Associate Software Engineer to design, develop, and maintain scalable software solutions. You will work on frontend using React.js (preferred) or alternatives, and backend services with modern languages and cloud technologies, ensuring performance and reliability.

Role involves building AI-enabled features, integrating APIs, and collaborating with Product Management, UX/UI, QA, Data, and DevOps teams.

Qualifications

• Masters/Bachelor's degree in Computer Science, IT, or related field with 5–9 years of experience.
• Solid foundation in software design and development principles, including OOP, RESTful APIs, microservices, cloud-native apps, and containerization.
• Hands-on experience with UI engineering using React.js (preferred) or modern JavaScript frameworks like Angular or Vue.js.
• Proficiency with HTML5, CSS3, JavaScript/TypeScript, responsive design, and accessibility.
• Experience in CI/CD, automated testing, and Agile methodologies.
• Familiarity with cloud platforms (AWS, Azure, GCP) and cloud-native services.
• Knowledge of Generative AI concepts (LLMs, RAG) and AI-assisted development tools.

Responsibilities

• Develop, test, deploy, and maintain scalable software applications.
• Design and enhance front-end using React.js, and back-end services with modern languages and cloud tech.
• Build responsive, accessible UIs following design system guidelines.
• Develop reusable UI components, integrate RESTful APIs, and optimize performance.
• Participate in design discussions and apply modern software engineering practices.
• Develop AI-enabled solutions leveraging LLMs, RAG, and related tools.
• Translate business requirements into secure, maintainable software.
• Create unit, integration, and end-to-end tests to ensure quality.
• Troubleshoot production issues and optimize performance and reliability.
• Participate in peer code reviews and maintain documentation.
• Collaborate with Product, UX/UI, QA, Data, and DevOps teams.
• Integrate applications with enterprise systems, databases, and cloud services.
• Work with data scientists to deploy ML models and AI capabilities.
• Support MLOps pipelines for deployment and monitoring.
• Deploy AI/ML-enabled apps in cloud environments with scalability.
• Contribute to CI/CD and automation of build, test, and deployment.
• Monitor health of applications and implement reliability improvements.
• Assist in automating operational tasks, monitoring, and incident response.
• Stay current with tech trends and apply them to products and processes.
• Participate in Agile ceremonies and release planning.

Skills

RESTful APIs

Microservices

React.js

Cloud platforms

Generative AI

CI/CD

Unit tests

AI tools

APIs integration

Debugging

Education

Master's/Bachelor's degree

Tools

Docker

Kubernetes

Terraform

Job description

Level4Sr Associate Software Engineer:

Role Description:

The Software Engineeris responsible fordesigning, developing, andmaintainingsoftware applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations,monitoringsystem health, and responding to incidents to minimize downtime.

Roles Responsibilities

• Develop, test, deploy, andmaintainscalable software applications that meet business and technical requirements.
• Contribute to the design, development, and enhancement of front-end applications using React.js (preferred) or equivalent UI frameworks, and back-end services using modern programming languages and cloud technologies.
• Build intuitive, responsive, and accessible user interfaces following enterprise UX standards and design system guidelines.
• Develop reusable UI components, integrate RESTful APIs, andoptimizeapplication performance for improved user experience.
• Participate in software design discussions and contribute to technical solutions using modern software engineering best practices.
• Develop innovativesolutions byleveragingGenerative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-assisted development tools.
• Translate business requirements into high-quality, maintainable, and secure software solutions.
• Develop and execute unit, integration, and end-to-end tests to ensure software quality and reliability.
• Troubleshoot, debug, and resolve software defects, production issues, and performance bottlenecks.
• Participate in peer code reviews to ensure code quality, maintainability, and adherence to coding standards.
• Create andmaintaintechnical documentation, including solution designs, API specifications, deployment guides, and operational procedures.
• Work closely with cross-functional teams including Product Management, UX/UI Design, QA, Data Engineering, and DevOps to deliver high-quality software solutions.
• Develop and integrate applications with enterprise platforms, APIs, databases, and cloud services.
• Collaborate with data scientists and AI engineers to integrate machine learning models and AI capabilities into enterprise applications.
• Support the development and maintenance of MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Deploy and support AI/ML-enabled applications in cloud environments while ensuring scalability, reliability, and maintainability.
• Participate in CI/CD pipeline implementation and automate software build, testing, and deployment processes.
• Monitor application health, investigate operational issues, and implement improvements to enhance reliability, performance, and availability.
• Assistin automating operational tasks, monitoring, and incidentresponseto improve system efficiency and reduce manual effort.
• Stay current with emerging technologies, software engineering practices, cloud services, UI frameworks, and AI advancements, applying them whereappropriate to improve products and development processes.
• Contribute to Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, retrospectives, and release planning.

Basic Qualifications and Experience:

Basic Qualifications:

• Masters/Bachelor'sdegree and 5 - 9 years of Computer Science,ITor related field experience

Must-Have Skills

• Solid foundation in software design and development principles, including object-oriented programming, RESTful APIs, microservices, cloud-native applications, and containerization.
• Hands-on experience in UI engineering using React.js (preferred) or equivalent modern JavaScript frameworks such as Angular or Vue.js, including component-based architecture, state management, responsive design, and integration with REST/GraphQLAPIs.
• Strongproficiencyin front-end technologies including HTML5, CSS3, JavaScript/TypeScript, responsive web design, accessibility (WCAG), and modern UI development best practices.
• Hands-on experience with full-stack software development using frameworks.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and developing applications using cloud-native services.
• Understanding ofGenerative AI concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI-assisted application development.
• Experience using AI-assisted development tools such as GitHub Copilot, OpenAI Codex, Cursor, orsimilar to improvesoftware development productivity.
• Experience integrating applications with enterprise systems, databases, and third-party APIs.
• Strong analytical, debugging, troubleshooting, and problem-solving skills.
• Experience developing, testing, debugging, and deploying software applications using Agile methodologies, CI/CD pipelines, and automated testing

Good-to-Have Skills

• Experience with UIcomponentlibraries and design systems such as Material UI (MUI), Ant Design, Fluent UI, or equivalent.
• Experience with Docker, Kubernetes, and containerized application deployment.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, Splunk, or Datadog.
• Familiarity with Infrastructure as Code (Terraform, Bicep, or CloudFormation).
• Understanding ofsecure software development practices,DevSecOpsprinciples, and OWASP security guidelines.
• Familiarity with UX/UI design principles and collaborating with designers to build intuitive, accessible, and responsive user experiences.