Senior Full-Stack Engineer, Platform Full Time

This role offers the opportunity to contribute to a high-growth AI-driven platform that helps millions of users and large enterprises streamline and optimize their workflows. You will join a fast-moving engineering environment focused on building and maintaining scalable, reliable core systems that power critical product functionality across web and backend services. The position spans full-stack development, requiring strong collaboration across product, infrastructure, and engineering teams to ensure performance, stability, and continuous improvement. You will work with modern technologies such as Python, Django, React, and cloud-native infrastructure, contributing to both feature development and platform resilience. This is a high-impact role suited for engineers who enjoy solving complex systems challenges, improving engineering standards, and building products at scale. You will also play a key role in shaping engineering practices within a collaborative, product-focused culture.

Accountabilities

• 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.

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.
• Excellent collaboration and communication skills, with a product-oriented mindset.
• Startup or high-growth environment experience is considered a plus.

Benefits

• Competitive base salary ranging from $145,000 to $200,000 depending on location and experience, plus equity opportunities.
• Fully remote work flexibility across the United States.
• Equity package offering long-term participation in company growth.
• Opportunity to work on a high-scale AI-powered workflow platform used by major enterprises.
• Collaborative, fast-paced engineering culture focused on learning and continuous improvement.
• Strong emphasis on engineering excellence, autonomy, and ownership.
• Medical, dental, and vision insurance coverage.
• Paid time off and standard company holidays.
• Opportunities for career growth within a rapidly scaling engineering organization.
• Exposure to modern cloud infrastructure, distributed systems, and AI-enabled product development.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.