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The Full Stack Engineer is responsible for producing scalable software solutions utilizing a range of different technologies and languages (such as Java, JavaScript, HTML, PHP, C#) to develop applications approaching software holistically in order to cater to both user experience and functionality. Work assignments will involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Full Stack Engineer Is involved in all stages of software development, including front-end development, back-end development, database integrations, network and hosting management, user interface, user experience, and back-end server management. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Job Duties + Responsibilities:

• Work with a team of developers with deep experience in frontend technologies, distributed microservices, and full stack systems

• Work across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Work with cloud native stack, build on Azure, AWS, or Google, use technologies like Kubernetes

• Write effective REST APIs and technical documentation

• Write automated test cases to ensure correctness, responsiveness, and efficiency of the software product

• Provide expertise to influence project, initiative, and maintenance technical direction during discovery, planning, and implementation stages.

• Maintain modern development standards with best-practice approaches and development processes.

Key Responsibilities:

• Solution Architecture: Create and document AI solution designs that meet business goals and technical needs.

• Technical Leadership: Lead projects by providing guidance to development teams.

• Collaboration: Work with stakeholders to gather requirements and convert them into technical specs for AI solutions. Collaborate with teams to understand and define data needs.

• Technology Evaluation: Research and recommend suitable AI technologies and tools for the organization.

• Implementation Oversight: Ensure AI solutions are implemented according to standards and best practices.

• Performance Analysis: Monitor AI system performance and suggest improvements.

• Documentation: Maintain clear documentation, including diagrams, specifications, and procedures.

• Stakeholder Engagement: Communicate technical ideas clearly to stakeholders at all levels.

• Data Pipeline Development: Design and implement data pipelines for processing and storing large datasets.

• Data Integration: Work with data scientists to integrate data from different sources, ensuring quality and accessibility for AI models.

• Database Management: Optimize databases to support data retrieval and analytics.

• Data Modeling: Create and maintain data models for effective analysis in AI applications.

• Performance Tuning: Optimize data systems for efficient processing and storage.

• Application Development: Develop and maintain AI applications that fulfill business requirements.

• AI Model Integration: Integrate AI models into applications to ensure they work properly.

• Code Optimization: Improve existing code and algorithms for better performance and reliability.

• Testing and Debugging: Test and debug applications to ensure quality and resolve issues.

• Continuous Improvement: Stay informed about AI and software development advancements to enhance solutions.

Use your skills to make an impact
 

Required Qualifications

• Bachelor's Degree in Computer Science or combination of education and relevant IT experience.

• 5+ years' experience in software engineering

• 5+ years' experience in at least one of the following: Angular, React or Vue.js

• 5+ years' experience in at least one of the following: Java or Node.js

• 3+ years' experience with Microsoft Azure, AWS, GCP, or another cloud service

• 3+ years' experience in building