Senior Software Engineer – Full Stack, Node.js, React, MongoDB

Precisely

. Independently drive features from design through delivery .

Posted 10/31/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack development with a strong focus on Node.js, Go, React, and MongoDB, while effectively collaborating across teams to deliver scalable and maintainable software solutions. Possesses a deep understanding of cloud-native application development, AI-assisted coding tools, and architectural patterns to drive innovation and operational excellence.

Highest-signal resume keywords

Node.js DevelopmentGo (Golang) ProgrammingReact FrameworkAWS, Azure, GCP ExperienceMicroservices Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Full-Stack DevelopmentEnterprise Software DevelopmentOOP ConceptsSQL and NoSQL DatabasesDebugging and TroubleshootingDesign PatternsDistributed SystemsCloud-Native Application DevelopmentAI-Assisted Software DevelopmentArchitecture and Design Mentorship

Soft Skills

Excellent Communication SkillsAnalytical SkillsTroubleshooting SkillsAbility to Work IndependentlyCollaboration Across Teams

Tools & Technologies

DockerKubernetesGitHub CopilotCursorLLM APIs

Industry Keywords

Agile EnvironmentOperational ExcellenceCustomer-First MindsetTechnical Design OwnershipNear-Real-Time Analytics

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesMongoDBNode.jsNoSQLReactSQLGo

About the role

Key responsibilities & impact

Independently drive features from design through delivery
Provide reliable platform support during US hours
Design, architect, develop, and unit test applications
Collaborate with architects, UI/UX experts, and software developers
Own technical designs and participate in technical discussions
Deliver scalable, stable, maintainable, and highly available products and features
Communicate across teams and time zones
Balance feature development with operational excellence
Bring a customer-first mindset while maintaining high engineering standards
Propose ideas and solutions to stakeholders and the product team
Contribute to strategy and roadmap development
Help build a high-volume, multi-tenant platform with near-real-time analytics
Participate in, guide, and mentor team members on architecture and design

Requirements

What you’ll need

Bachelor's or master's degree in computer science or related field
8+ years of experience developing enterprise software
Hands-on expertise in Node.js, Go (Golang), React, and MongoDB
Strong full-stack development experience
Excellent oral and written communication, analytical, and troubleshooting skills
Experience with AWS, Azure, GCP, Docker, Kubernetes, and microservices architecture
Understanding and hands-on experience with design patterns and architectural patterns
Excellent knowledge of OOP concepts
Understanding of distributed systems, scalability, and cloud-native application development
Experience with SQL and/or NoSQL databases
Strong debugging, troubleshooting, and production support skills
Ability to work independently with minimal supervision and drive work to completion
Ability to work with diverse and distributed product teams in an agile environment
Strong understanding of AI-assisted software development
Experience with AI-assisted coding tools such as GitHub Copilot and Cursor
Uses AI for code review, documentation, and test generation
Familiarity with LLM APIs or agentic workflows
Understanding of responsible AI principles including bias, security, and explainability
Candidates must be based in the United States and able to work Eastern Time business hours

Benefits

Comp & perks

100% remote work anywhere in the US
Opportunity to work with a globally distributed engineering team
Opportunity to participate, guide, and mentor team members
Meaningful work at the intersection of AI and data