Senior Associate Software Engineer

Job Description:

We are seeking an experienced Senior Associate Software Engineer to design, develop, deploy, and support scalable enterprise software applications. This role will contribute to full-stack development, cloud engineering, DevOps, application security, system reliability, and AI-enabled solutions.

The ideal candidate has strong hands-on experience with React, Vite, FastAPI, Python, TypeScript or JavaScript, RESTful APIs, AWS, containerization, CI/CD, automated testing, and production support.

The candidate will collaborate with product managers, UX/UI designers, engineers, data teams, QA, cybersecurity, and DevOps teams to deliver secure, reliable, and maintainable solutions.

Roles and Responsibilities:

• 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.

Basic Qualifications and Experience:

• Master's or Bachelor's degree and 5-9 years of experience in Computer Science, Information Technology, Software Engineering, Engineering, or a related field.

Must-Have Skills:

• 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.

Good-to-Have Skills:

• 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.

Preferred Certifications:

• 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.

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global and virtual teams.
• High degree of initiative, ownership, and self-motivation.
• Ability to manage multiple priorities and meet delivery commitments.
• Strong teamwork, collaboration, and presentation skills.
• Ability to explain technical concepts to technical and non-technical stakeholders.
• Strong attention to software quality, security, reliability, and continuous learning.