Senior Associate Software Engineer

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.

with component-based architecture, state management, routing, reusable components, responsive design, and performance optimization.

integrating applications with RESTful or GraphQL APIs, databases, enterprise platforms, and third-party services.

Understanding of web accessibility standards, including WCAG.

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.

with Git, CI/CD, automated testing, code-quality controls, and production deployment.

with Docker and containerized application development.

Understanding of authentication, authorization, RBAC, secrets management, secure APIs, and OWASP Top 10.

with application-security or code-quality tools such as Veracode, Snyk, SonarQube, Checkmarx, Fortify, or equivalent platforms.

analyzing and remediating code-quality, dependency, and security findings.

Understanding of Generative AI concepts, including LLMs, RAG, prompt engineering, embeddings, and AI-assisted development.

using tools such as GitHub Copilot, OpenAI Codex, Cursor, or equivalent approved platforms.

Strong analytical, debugging, troubleshooting, and problem-solving skills.

delivering software using Agile methodologies.

Experience with UI component libraries such as Material UI, Ant Design, or Fluent UI.

with Kubernetes and container orchestration.

with AWS-native serverless and cloud-native architectures.

with Infrastructure as Code using Terraform, AWS CDK, CloudFormation, or equivalent tools.

with monitoring tools such as CloudWatch, Prometheus, Grafana, Splunk, Datadog, or OpenTelemetry.

with relational and NoSQL databases.

with message queues, asynchronous processing, and event-driven technologies.

Familiarity with DevSecOps, software composition analysis, penetration testing, and container-security scanning.

with machine learning model integration, model-serving APIs, or MLOps platforms.

developing GenAI applications using LangChain, LangGraph, LlamaIndex, Semantic Kernel, Amazon Bedrock, or equivalent technologies.

with vector databases and semantic search.

collaborating with UX/UI designers.

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.

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.