Senior Backend Software Engineer - Platform Management

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

🔍 Industry: Advertising Software

🏢 Company: MNTN👥 251-500💰 $2,000,000 Seed over 2 years agoAdvertising Real Time Marketing Software

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSBackend DevelopmentDockerGraphQLNode.jsPostgreSQLCloud ComputingGitJavascriptKubernetesMongoDBSoftware ArchitectureTypeScriptAPI testingTestRailCI/CDRESTful APIsMentoringLinuxDevOpsMicroservicesJSONData modelingSoftware EngineeringDebugging

Requirements:

5+ years of Typescript development experience, including Typescript in a NodeJS server environment.
3+ years of HTML/CSS experience, including layouts, specificity, cross-browser compatibility, accessibility, and high-visualisation charting APIs.
Familiarity with writing effective unit and functional tests in an automated environment.
Familiarity with cloud infrastructure (AWS preferred) and containerization (Docker, Kubernetes).
Familiarity with SQL (PostgreSQL)
Proficiency with Git, CI/CD pipelines, and build tools
Experience with AI productivity tools (ChatGPT, Claude, Copilot, Cursor)
Strong problem-solving skills and ability to collaborate with both technical and non-technical stakeholders.
Ability to comprehend business requirements and translate them into technical specifications.

Responsibilities:

Architect, develop, and maintain scalable backend services using TypeScript and JavaScript across modern runtimes (Node.js, Deno, Bun).
Design and implement RESTful and GraphQL APIs.
Develop infrastructure for performance monitoring, logging, and error tracking.
Build and maintain systems for web scraping and large-scale crawling of public web data, with a strong emphasis on ethical practices and legal compliance.
Leverage tools such as Playwright for headless browser automation and data extraction.
Work with Cloudberry (now MSP360) or similar tools for managing object storage across platforms.
Integrate with object storage systems (e.g., S3-compatible storage) for handling large volumes of data, files, and scraped content.
Design performant data models using ScyllaDB, PostgreSQL, and MongoDB, with a focus on handling large-scale JSON data structures.
Build robust systems to process, transform, store, and retrieve structured and semi-structured JSON data.
Collaborate with frontend engineers, product managers, and DevOps to ship reliable features.
Drive technical decisions and contribute to system architecture.
Optimize services for speed, memory usage, and scalability.
Ensure secure coding practices and participate in code reviews and technical mentorship.

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