Sr Full Stack Engineer
1 dia atrás
Sr. Full Stack Engineer #2424
Position Summary:
Our partner, a leader in innovative storage solutions, is looking for a Sr. Full Stack Engineer with expertise in data-centric software development to enhance their platform capabilities. In this role, you’ll design and implement proprietary software solutions focused on data management, working within a Node.js stack to build robust back-end systems. You’ll be instrumental in optimizing how data is collected, stored, and utilized across the enterprise application suite. The team values collaborative problem-solving and prioritizes flexibility in tech solutions, focusing on business impact over specific tools or frameworks. This high-visibility position also involves close interaction with stakeholders and C-level executives to align tech initiatives with strategic goals, driving innovation and value creation across the company.
Experience and Education:
- Bachelor’s or higher degree in Computer Science, or equivalent experience.
- Over 5 years of experience in back-end development with a focus on designing scalable and reliable systems.
- At least 3 years of hands-on experience with Node.js and related frameworks.
- Proven expertise in deconstructing software into core components and building custom tools within a microservices architecture.
- Strong experience building and optimizing data-driven applications, focusing on efficient data collection, processing, and storage.
- Background in Data Science, Machine Learning, or Artificial Intelligence environments (a plus)
Skills and Strengths:
- Node.js
- React.js or Angular.js
- JavaScript
- TypeScript
- Python
- Data analysis
- Data cleaning and data integration
- Data architecture
- Data warehousing tools (e.g., Redshift, Snowflake, BigQuery, Azure Synapse)
- Data pipeline and ETL tools (e.g., Apache Spark, Airflow, AWS Glue)
- Data visualization tools: Power BI or Tableau
- APIs (RESTful, GraphQL)
- NoSQL databases (e.g., MongoDB)
- PostgreSQL
- AWS: Amplify, DynamoDB, AppSync, RDS, Aurora
- Microservices
- Machine learning and AI frameworks (e.g., TensorFlow, PyTorch)
- Unit testing
- Software Development Lifecycle (SDLC)
- Test-Driven Development (TDD)
- CI/CD (Continuous Integration/Continuous Deployment)
- Git
- Payment systems
Primary Job Responsibilities:
- Develop clean, modular, and reusable code across the stack.
- Build and enhance features throughout the full development stack.
- Drive the implementation of new features and maintain existing codebases.
- Design, build, and maintain microservices; develop and implement APIs; manage cross-service integrations, testing, and create resilient, fault-tolerant services.
- Create high-quality software by aligning technical solutions with business goals and priorities.
- Design and implement data pipelines and data-related applications, ensuring efficient handling and processing of large-scale data, including data warehouses and data marts.
- Contribute to and share development best practices and standards; commit to continuous learning.
- Conduct thorough code reviews to uphold quality and best practices.
- Run diagnostic tests, troubleshoot, and provide technical support to address issues.
- Integrate front-end components with server-side logic seamlessly.
- Work with data management and modeling, data access (e.g., big data, data marts), and be familiar with analytic algorithms and applications.
- Translate business requirements into well-suited technical solutions through clear understanding and effective execution.
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