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Senior Python/React/AWS Software Engineer

Summary

Build and evolve AI-first SaaS products using Python, React, and AWS, while integrating AI coding agents and modern cloud technologies to enhance system design and developer productivity.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Python/React/AWS Software Engineer based in the United States.

This role offers the opportunity to build and evolve AI-first SaaS products within a globally distributed engineering environment.
You will develop scalable, secure, and high-quality applications using Python, React, and AWS.
The position combines hands-on software development with system design, architectural thinking, and technical mentorship.
You will work extensively with AI coding agents, automated testing, CI/CD, and modern cloud technologies.
Your work will directly influence product quality, developer productivity, reliability, and customer experience.
You will collaborate closely with engineers to solve complex technical challenges and establish strong engineering practices.
The role is ideal for an experienced engineer who enjoys clean code, continuous learning, and practical innovation.

Accountabilities

  • Design, develop, test, and maintain production features using Python and React, with a strong focus on quality, security, scalability, and maintainability.
  • Translate high-level product objectives into modular, well-defined engineering tasks that enable efficient execution across the team.
  • Review human- and AI-generated code, ensuring solutions meet architectural, security, performance, and domain requirements.
  • Contribute to system architecture and technical design, ensuring implementations follow principles such as modularity and well-defined bounded contexts.
  • Build and optimize CI/CD pipelines incorporating automated testing, AI agents, and intelligent code review capabilities.
  • Develop and refine prompts, specifications, and structured instructions that help AI coding agents produce accurate and context-aware outputs.
  • Contribute to technical documentation, domain models, and internal knowledge resources that improve engineering effectiveness and AI-assisted development.
  • Participate in an on-call rotation and respond to production incidents, applying a DevOps mindset to maintain system reliability and resolve issues quickly.
  • Collaborate with teammates on complex engineering, architecture, and design challenges while contributing to a supportive and accountable engineering culture.
  • Develop secure software and apply best practices for API security, session management, data validation, and protection against common vulnerabilities.
  • Mentor other engineers, provide constructive feedback through code reviews, and help strengthen technical capabilities across the team.
  • Requirements

    • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent professional experience.
    • At least 5 years of professional software engineering experience, particularly building and operating SaaS applications.
    • Strong hands-on development experience with Python, React, and AWS.
    • Practical experience using AI coding agents such as Claude Code, Devin.ai, Codex, or comparable tools in professional development environments.
    • Experience with modern cloud-native technologies, containerized environments, RESTful APIs, and CI/CD pipelines.
    • Working knowledge of MySQL and experience with production-grade software systems.
    • Familiarity with LLM technologies, AI-assisted development, and Model Context Protocol (MCP) components is highly valuable.
    • Strong understanding of software architecture, system design, testing, observability, security, and reliability.
    • Experience diagnosing and resolving production incidents and working effectively within an operational or on-call environment.
    • Strong communication and collaboration skills, with the ability to give and receive feedback constructively and mentor colleagues with empathy.
    • A proactive, ownership-oriented mindset with the ability to work independently, solve complex problems, and continuously improve engineering practices.
    • Experience with Sormi is considered a strong plus.
    • Benefits

      • Annual base salary range of $130,000–$165,000 USD.
      • Eligibility for an annual bonus and comprehensive US employee benefits.
      • Health, dental, and vision insurance.
      • 401(k) plan with employer matching.
      • Unlimited paid time off, plus 11 paid holidays and 4 annual global wellness days.
      • Short-term disability, long-term disability, and group life insurance.
      • Paid parental leave.
      • Flexible Spending Account (FSA) and Health Savings Account (HSA) options.
      • Pet insurance and Employee Assistance Program.
      • 100% remote work opportunity within the United States.
      • Career advancement and professional development opportunities.
      • Access to LinkedIn Learning.
      • Employee recognition programs and a collaborative, inclusive engineering culture.
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?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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What this application asks

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Resume/CV, Full name, Email, Phone, Current location, Current company

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