Senior Full Stack Engineer
Buzz Solutions5 months ago
Remote, United StatesSenior / Staff+
H1B Sponsor
Responsibilities
- Design, develop, and maintain high-quality, scalable web applications and platform services.
- Build robust backend services and APIs using modern frameworks and cloud-native patterns.
- Develop user-friendly, performant frontend interfaces that deliver an exceptional user experience.
- Ensure code quality through best practices, automated testing, and continuous integration.
- Provide architectural direction, evaluate technical trade-offs, and guide long-term platform evolution.
- Establish engineering standards and promote best practices in software design, testing, and documentation.
- Collaborate with cross-functional teams to deliver high-impact features.
- Drive technical discussions, identify risks, and proactively remove blockers to ensure delivery timelines are met.
- Work closely with stakeholders to understand requirements and translate them into technical solutions.
- Participate in sprint planning, backlog refinement, and team-wide retrospectives to continuously improve workflow.
- Implement scalable, secure, and high-performance architectures across the stack.
- Monitor and optimize system performance, triage production issues, and drive root-cause analysis.
- Contribute to the evolution of deployment pipelines, observability tools, and platform operational excellence.
Requirements
- 8-10+ years of fullstack engineering experience, with strong proficiency in modern backend (Node.js) and frontend (React, TypeScript) technologies.
- Demonstrated experience leading engineering projects or teams in a fast-paced, product-driven environment.
- Strong understanding of system design, API architecture, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
- Experience building scalable platforms handling large datasets or complex workflows, with a bonus for AI/ML systems.
- Excellent communication, collaboration, and problem-solving skills.
- Experience working with data-intensive applications, imagery/video pipelines, or AI-integrated systems.
- Familiarity with microservices architectures, containerization, and distributed systems.