Senior Full-Stack Engineer

New

JobgetherMaritime data and AI

Based in the United StatesFull-TimeSenior

Salary not disclosed

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Job Details

Required Skills: DockerGraphQLNode.jsPostgreSQLSQLKubernetesTypeScriptNext.jsReactRESTful APIs

Bring strong professional experience in full-stack software engineering across frontend and backend systems.
Have expert-level proficiency with TypeScript and strong experience with modern frontend development.
Have experience with CSS and styling frameworks such as Tailwind CSS.
Have hands-on experience with React and frontend frameworks such as Next.js.
Be familiar with frontend state-management approaches such as React Context.
Have experience building backend services and APIs using Node.js, GraphQL, and REST.
Have strong proficiency with SQL and PostgreSQL.
Have working knowledge of Docker and Kubernetes.
Be familiar with Python and its use in software, data, or machine-learning workflows.
Demonstrate commitment to code quality, including testing, formatting, linting, type safety, and maintainability.
Bring a performance-oriented mindset and interest in experimentation, prototyping, and technical investigation.
Have strong communication and teaching skills for explaining complex technical concepts to different audiences.
Work collaboratively and effectively in a small team with broad responsibilities.
Nice to have: experience with IoT devices, sensors, edge-computing systems, digital signal processing, or geospatial analysis/GIS.
Nice to have: familiarity with monorepo development environments.

Build and maintain application components, interfaces, and pages across the full technology stack.
Implement historical and real-time data visualization and processing, including WebGPU-based data feeds.
Design, develop, and optimize data models using PostgreSQL and Apache Iceberg.
Develop and improve real-time data pipelines using technologies such as MQTT and Redpanda.
Maintain and enhance offline and batch-processing pipelines using Dagster.
Integrate machine-learning models, algorithms, and data-processing capabilities into production applications.
Improve local development workflows, testing practices, deployment processes, and CI/CD pipelines using modern tooling and GitHub Actions.
Collaborate across disciplines to deliver reliable, performant solutions and take ownership of engineering quality.

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