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Information Technology 🏢 Full Time ⭐️ Verified

Senior Software Engineer (Full Stack)

NexusFlow Technologies
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Are you ready to architect the future of cloud-native applications? NexusFlow Technologies is seeking a high-impact Senior Software Engineer to join our core product team in San Francisco. You will work on mission-critical distributed systems that serve millions of users, driving innovation in our tech stack and mentoring high-performing teams.

We offer a culture of autonomy, rapid growth, and engineering excellence.

Responsibilities

  • Architect and maintain scalable, robust distributed systems using microservices architecture.
  • Lead technical initiatives from conception through deployment, ensuring high availability and performance.
  • Collaborate cross-functionally with product managers and designers to deliver seamless user experiences.
  • Optimize database queries and system latency to ensure 99.99% service reliability.
  • Mentor junior engineers through code reviews, technical design discussions, and pairing sessions.
  • Develop and implement automated testing suites to maintain high code quality standards.
  • Drive the adoption of best practices in CI/CD, security, and cloud infrastructure management.

Qualifications

  • B.S. or M.S. in Computer Science or equivalent practical experience.
  • 5+ years of professional experience in full-stack software development.
  • Deep expertise in TypeScript/Node.js, React, and Python.
  • Proven experience working with cloud platforms (AWS or GCP) and containerization (Docker, Kubernetes).
  • Strong understanding of relational (PostgreSQL) and NoSQL (Redis, MongoDB) database design.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience in high-growth startup environments is highly preferred.

Required Skills

JavaScript TypeScript React Node.js Python AWS Kubernetes PostgreSQL System Design

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