United States onlyThe Full Stack Developer will be responsible for the design, development, delivery, and support of CFRA's applications and services. The ideal candidate has a passion for solving business problems with technology, demonstrates technical excellence across the full development stack, and can effectively communicate business and technical needs to stakeholders. We are looking for candidates that value collaboration with colleagues, learning new technologies, and having an immediate, tangible impact for a leading global independent financial insights and data company.
This role includes production support responsibilities during US business hours to ensure system reliability and rapid resolution of critical issues. The candidate will respond to production incidents, perform root cause analysis, implement fixes, and collaborate with cross-functional teams to minimize system downtime. This requires strong troubleshooting skills, the ability to work under pressure, and a commitment to maintaining high availability of production systems that serve our global customer base.
This role includes production support responsibilities during US business hours to ensure system reliability and rapid resolution of critical issues. The candidate will respond to production incidents, perform root cause analysis, implement fixes, and collaborate with cross-functional teams to minimize system downtime. This requires strong troubleshooting skills, the ability to work under pressure, and a commitment to maintaining high availability of production systems that serve our global customer base.
Key Responsibilities
- Full Stack Development: Design and develop high-quality, high-performance, scalable full stack applications using React/TypeScript for frontend and Python for backend, following best practices and modern development patterns.
- Frontend Development: Build responsive, intuitive, and accessible user interfaces using React, TypeScript, modern CSS frameworks, and state management solutions, ensuring optimal user experience across devices and browsers.
- Backend Development: Design and develop robust, scalable, and secure REST APIs and backend services using Python on AWS, considering factors like performance, reliability, security, and cost-efficiency.
- AWS Integration: Integrate applications with AWS services including Lambda, API Gateway, Cognito, S3, CloudFront, RDS, DynamoDB, SQS, SNS, and CloudWatch to build comprehensive cloud-native solutions.
- Architecture Design: Contribute to architecture design decisions, implement scalable solutions using microservices and serverless patterns, and ensure alignment with best practices and business requirements.
- Code Quality: Write clean, maintainable, well-documented code following established standards and best practices. Conduct thorough code reviews and provide constructive feedback to team members.
- Testing and QualityAssurance: Develop and maintain comprehensive unit tests, integration tests, and end-to-end tests using modern testing frameworks to ensure high-quality, reliable software delivery.
- Performance Optimization: Identify and implement optimizations to improve application performance, scalability, and efficiency across both frontend and backend components, leveraging AWS services and tools.
- Security and Compliance: Ensure applications are developed following security best practices, including authentication, authorization, encryption, data protection, and compliance with relevant standards and regulations.
- CI/CD Implementation: Contribute to and maintain CI/CD pipelines using tools like Jenkins, AWS CodePipeline, or GitHub Actions, automating testing, deployment, and monitoring processes.
- Infrastructure as Code: Develop and maintain infrastructure using Terraform or similar IaC technologies, ensuring consistent, repeatable, and version-controlled infrastructure deployments.
- Monitoring and Logging: Implement comprehensive monitoring and logging solutions using AWS CloudWatch, X-Ray, and other tools to ensure application availability, performance, and reliability.
- Technical Leadership: Mentor and coach peers, share knowledge and best practices, and contribute to a culture of technical excellence and continuous improvement within the development team.
- Stakeholder Collaboration: Work collaboratively with product managers, designers, architects, and other developers to understand requirements, clarify specifications, and deliver solutions that meet business objectives.
- Agile Practices: Actively participate in all Agile/Scrum ceremonies including sprint planning, daily standups, sprint reviews, and retrospectives, contributing to team velocity and delivery success.
- Problem Solving: Lead troubleshooting efforts for complex technical issues, identify root causes, and implement effective solutions to ensure system stability, performance, and reliability.
- Documentation: Create and maintain comprehensive technical documentation including architecture diagrams, API documentation, deployment guides, and operational procedures.
- Continuous Learning: Stay updated with the latest trends, tools, and technologies in full stack development, cloud computing, and software engineering, and apply new knowledge to improve team practices and solutions.
Skills, Knowledge and Expertise
- Full Stack Experience: A minimum of 3+ years of full stack development experience building and delivering enterprise web applications with demonstrated proficiency in both frontend and backend technologies.
- AI/ML Integration: Experience integrating AI and machine learning capabilities into applications, including working with LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock), embedding models, and implementing AI-powered features such as content generation, semantic search, and intelligent data analysis.
- Prompt Engineering: Understanding prompt engineering principles and best practices for designing effective prompts, implementing prompt templates, and optimizing LLM interactions for reliability, accuracy, and cost-efficiency.
- Vector Databases and RAG: Familiarity with vector databases and Retrieval-Augmented Generation (RAG) architectures for building AI applications that leverage enterprise knowledge bases and document repositories.
- AI/ML Frameworks: Knowledge of machine learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, and LangChain for implementing and deploying AI/ML models in production environments.
- AI Application Architecture: Experience designing architectures for AI-powered applications, including considerations for model orchestration, context management, streaming responses, error handling, cost optimization, and monitoring AI service usage and performance.
- Bachelor's Degree: A bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field is preferred. Experience with financial domain knowledge is a plus.
Benefits
- 20 days of Vacation
- 8 Sick Days
- 1 paid volunteer day
- 10-11 Holidays a year
- Health, Dental, & Vision Insurance
- Company paid Life & Disability Insurance
- Competitive Pay
- Annual Performance Bonus
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
