Senior Full-Stack Engineer, Platform
New
Fully remote work flexibility across the United States.Full-TimeSenior
Salary145,000 - 200,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonDjangoTypeScriptNext.jsReactTerraformDistributed Systems
Requirements
- 5+ years of professional experience in full-stack or backend engineering roles.
- Strong experience with Python and Django in production environments.
- Proficiency with modern frontend development using React, Next.js, and TypeScript.
- Solid understanding of relational databases such as PostgreSQL and performance optimization techniques.
- Experience building and maintaining distributed systems or large-scale backend services.
- Strong emphasis on automated testing, clean code practices, and software engineering fundamentals.
- Familiarity with background job processing tools such as Celery and messaging systems.
- Experience working with AWS and Infrastructure-as-Code tools like Terraform is highly desirable.
- Knowledge of enterprise features such as SSO/SAML, SCIM, RBAC, or audit logging is a strong plus.
- Strong problem-solving skills, attention to detail, and ability to work in fast-paced, ambiguous environments.
Responsibilities
- Design, develop, and maintain scalable full-stack features across backend services (Python/Django) and frontend applications (React/Next.js, TypeScript).
- Contribute to the stability, performance, and reliability of core platform systems powering large-scale workflow automation products.
- Collaborate with cross-functional teams including product, design, and infrastructure to deliver high-quality, user-focused features.
- Build and optimize relational database structures using PostgreSQL, ensuring performance and scalability across systems.
- Develop and maintain background processing systems using tools such as Celery and message queues for asynchronous workloads.
- Implement automated testing strategies and promote engineering best practices to ensure system reliability and maintainability.
- Contribute to cloud infrastructure and deployment workflows using AWS and Infrastructure-as-Code tools such as Terraform.
- Participate in architectural discussions and technical decision-making to improve system design and platform scalability.
- Support enterprise-grade features such as authentication, authorization, audit logging, and identity-related functionality where applicable.
- Troubleshoot production issues and continuously improve system observability, performance, and resilience.
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