Senior Associate Software Engineer

Overview

Senior Associate Software Engineer to design, develop, deploy and support scalable enterprise software applications across full-stack development, cloud engineering, DevOps, application security, system reliability and AI-enabled solutions.

What you'll do

• Develop, test, deploy and maintain scalable software applications.
• Build front-end applications using React, Vite, TypeScript and modern UI-development practices.
• Develop back-end applications, RESTful APIs, integration services and data-access components using Python and FastAPI.
• Build responsive, accessible user interfaces and reusable UI components aligned with enterprise UX standards.
• Translate business requirements into secure, maintainable, production-ready solutions.
• Contribute to software-design discussions and technical decisions.
• Develop cloud-native applications using APIs, microservices, serverless services, containers and event-driven patterns.
• Integrate applications with enterprise platforms, identity services, databases, cloud services and third-party systems.
• Develop AI-enabled applications using Generative AI, LLMs, RAG and related technologies where appropriate.
• Collaborate with data scientists and ML engineers to integrate predictive models and AI capabilities.
• Support model-serving APIs and MLOps processes for deployment and monitoring.
• Develop unit, integration, end-to-end, regression and automated acceptance tests.
• Participate in peer code reviews and follow coding, security and quality standards.
• Apply secure software-development practices throughout the development lifecycle.
• Use tools such as Veracode, Snyk, SonarQube or equivalent platforms and remediate identified findings.
• Contribute to CI/CD pipelines and automate build, testing, security validation and deployment.
• Troubleshoot application defects, production incidents, integration issues and performance bottlenecks.
• Implement logging, monitoring, alerting and operational dashboards.
• Maintain technical documentation, including solution designs, API specifications, deployment guides and support procedures.
• Collaborate with product, UX/UI, QA, data engineering, cybersecurity, architecture and DevOps teams.
• Participate in Agile ceremonies, estimation and release planning.
• Stay current with emerging software, cloud, security, UI and AI technologies.
• Participate in production support activities, including occasional off-hours support.

What you'll need

• Master's or Bachelor's degree and 5–9 years of experience in Computer Science, Information Technology, Software Engineering, Engineering or a related field.
• Strong foundation in software design, object-oriented programming, design patterns, RESTful APIs, microservices, cloud-native applications and containerization.
• Strong hands-on experience with full-stack software development.
• Strong proficiency in Python, TypeScript or JavaScript, HTML5, CSS3 and SQL.
• Proficiency in FastAPI, including API design, validation, dependency injection, authentication, exception handling, testing and deployment.
• Hands-on experience developing modern web applications using React and Vite.
• Experience with component-based architecture, state management, routing, reusable components, responsive design and performance optimization.
• Experience integrating applications with RESTful or GraphQL APIs, databases, enterprise platforms and third-party services.
• Understanding of web accessibility standards, including WCAG.
• Experience with cloud-based application development, with AWS preferred.
• Familiarity with AWS services such as Lambda, ECS, EKS, API Gateway, S3, RDS, DynamoDB, CloudWatch and EventBridge.
• Experience with Git, CI/CD, automated testing, code-quality controls and production deployment.
• Experience with Docker and containerized application development.
• Understanding of authentication, authorization, RBAC, secrets management, secure APIs and OWASP Top 10.
• Experience with application-security or code-quality tools such as Veracode, Snyk, SonarQube, Checkmarx, Fortify or equivalent platforms.
• Experience analyzing and remediating code-quality, dependency and security findings.
• Understanding of Generative AI concepts, including LLMs, RAG, prompt engineering, embeddings and AI-assisted development.
• Experience using tools such as GitHub Copilot, OpenAI Codex, Cursor or equivalent approved platforms.
• Strong analytical, debugging, troubleshooting and problem-solving skills.
• Experience delivering software using Agile methodologies.

Nice to have

• Experience with UI component libraries such as Material UI, Ant Design or Fluent UI.
• Experience with Kubernetes and container orchestration.
• Experience with AWS-native serverless and cloud-native architectures.
• Experience with Infrastructure as Code using Terraform, AWS CDK, CloudFormation or equivalent tools.
• Experience with monitoring tools such as CloudWatch, Prometheus, Grafana, Splunk, Datadog or OpenTelemetry.
• Experience with relational and NoSQL databases.
• Experience with message queues, asynchronous processing and event-driven technologies.
• Familiarity with DevSecOps, software composition analysis, penetration testing and container-security scanning.
• Experience with machine learning model integration, model-serving APIs or MLOps platforms.
• Experience developing GenAI applications using LangChain, LangGraph, LlamaIndex, Semantic Kernel, Amazon Bedrock or equivalent technologies.
• Experience with vector databases and semantic search.
• Experience collaborating with UX/UI designers.
• Experience in biotechnology, pharmaceutical, life sciences, manufacturing or another regulated industry.
• AWS Certified Developer, Solutions Architect or another relevant cloud certification.
• Relevant software-development, DevOps, Kubernetes, application-security, AI or machine-learning certification.
• Scaled Agile Framework certification.

Details

• Location: India - Hyderabad.
• Participate in production support activities, including occasional off-hours support.