Senior Full Stack Developer

Maimsd Technology; United States; Remote; USD 80,000 - 130,000; Full time

Job summary

A leading technology company seeks a Full Stack Developer to join their development team. The role involves designing and maintaining scalable SaaS applications that support the energy sector, with responsibilities spanning both frontend and backend development, microservices, and AI/ML integration. Ideal candidates will hold a relevant degree and possess a strong skill set in JavaScript, React, and cloud technologies.

Qualifications

• Proven experience as a Full Stack Developer with expertise in both frontend and backend development.
• Strong proficiency in web development technologies including HTML, CSS, JavaScript, React, and .NET.
• Experience in designing and implementing microservices architecture and RESTful APIs.

Responsibilities

• Design, develop, and maintain scalable and responsive web applications using modern technologies.
• Lead modernization efforts of legacy applications, ensuring improved performance and user experience.
• Collaborate with data scientists to integrate AI/ML capabilities into web interfaces.

Skills

JavaScript

React

Node

SQL

DevOps

AI/ML

Education

Bachelor's or Master's degree in Computer Science

Tools

.NET

Azure

Job description

Mandatory Skills :

- JavaScript, React & Redux

- Node, Express & .net

- DB - SQL

- CI/CD

- MobX, RTK (Redux Tool Kit), Zustand

About the Role :

You will work with our development and production support team on efforts to support Arcus Power's growth initiatives. The Full Stack Developer will play a pivotal role in developing leading SaaS products for energy power market intelligence. Arcus products provide insights and data-driven solutions to stakeholders in the energy industry.

With your expertise in microservices, APIs, AI/ML integration, and cloud technologies, you will be instrumental in driving the evolution of our software applications. Your ability to work across the stack, from frontend to backend, and integrate cutting-edge technologies will be essential in delivering innovative and high-quality solutions. Collaborating with cross-functional teams, including data scientists, UX designers, and DevOps engineers, you will play a key role in revamping legacy applications, building microservices, and infusing AI/ML capabilities into web user interfaces.

Responsibilities will include :

- Design, develop, and maintain scalable and responsive web applications using modern frontend and backend technologies.

- Lead the revamping of legacy applications, ensuring modernization, improved performance, and UX.

- Create and manage microservices architecture, including API design, development, and integration.

- Collaborate with data scientists to integrate AI/ML capabilities into web user interfaces for predictive analytics and data-driven insights.

- Integrate SQL and NoSQL databases, optimizing data storage and retrieval for efficient application performance.

- Work with cloud platforms such as Azure or other relevant providers to deploy, monitor, and manage applications.

- Implement DevOps practices for CI/CD, and automated testing.

- Collaborate with UX/UI designers to create visually appealing and user-friendly interfaces.

- Troubleshoot and debug issues, identifying root causes and implementing effective solutions.

- Keep up-to-date with industry trends and emerging technologies to drive innovation in application development.

- Teams onboarding and training junior development staff

- Other duties as assigned

Your Qualifications :

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

- Proven experience as a Full Stack Developer with expertise in either frontend or backend development, or both

- Strong proficiency in web development technologies, including HTML, CSS, JavaScript, and modern frontend frameworks (e.g., React, Angular, Vue). Deep knowledge of .NET languages and servers

- Experience in designing and implementing microservices architecture, RESTful APIs, and integration patterns

- Proficiency in both SQL and NoSQL databases and their integration into applications.

- Experience administrating and integrating with cloud platforms such as Azure, AWS, or Google Cloud Platform.

- Previous experience in successfully revamping and modernizing legacy applications.

- Experience with Agile methodologies and participation in sprint planning and review meetings.

- Familiarity with integrating AI/ML capabilities into web user interfaces for data visualization and insights.

- Knowledge of DevOps practices, CI/CD pipelines, and automated testing.

- Familiarity with MLOps methodologies and best practices.

Experience considered assets :

- Integrating with Snowflake, Databricks, or other data lake technologies

- Utilizing, extending, and integrating business intelligence tools like Grafana

- Integrating with iPaaS (Integration Platforms as a Service)

- Leveraging graphs for modeling data and organizing metadata, semantics.

Key Competencies & Attributes :

- Delivering in self-organizing teams with high levels of trust and transparency

- Strong problem-solving skills and ability to troubleshoot and debug complex issues

- Strong organizational skills and ability to manage multiple projects and priorities

- Adaptability to evolving technology landscapes and industry trends

- Excellent collaboration and verbal/written communication skills, with the ability to work effectively in cross functional teams

Your Metrics :

Success in this position will be measured against the following groups of Metrics :

- Development Performance : Sustain and maintain an acceptable pace of development according to sprint plans, and backlog items, as per direction by product manager and owner.

- Deliverables Quality : For us, quality of deliverables will be critical to our success and to scale. The deliverables include proper documentation to handover to other groups.

- Application Performance : Measure its responsiveness and efficiency in real-world usage.

- Legacy Application Modernization : Track the progress of legacy application revamping and performance improvements.

- AI/ML Integration Success : Monitor the successful integration of AI/ML capabilities into web interfaces.

- Microservices Architecture : Measure the efficiency and scalability of the microservices architecture.

- DevOps Efficiency : Measure the effectiveness of CI/CD pipelines and automated testing in the development process.