Buzz Solutions

Artificial intelligence, actionable insights, and predictive analytics for infrastructure inspections.

Senior Full Stack Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

94 days ago

Salary

Not specified

Bachelor Degree8 yrs expEnglishAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJava ScriptMicroservicesNode.jsReactType Script

Job Description

• 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—including product, QA, ML, and systems—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.

Job 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 (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.

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