← Live feed

Lead Software Engineer - Order Management & Fulfillment Systems

Budget: $75.0 - $110.0 HOURLY / FULL_TIME ⭐ 5.00 (4) India

golang, ruby-on-rails, postgresql, amazon-web-services, apache-kafka, api-integration

Preferred qualifications

  • Talent type: Independent
  • Location: United States
  • Experience: Expert
Remote - US - Full-time !!Applicants must be authorized to work in the United States!! Job Description Looking for a Lead Engineer to set the technical direction for core order management, checkout execution, and fulfillment orchestration systems. In this hands-on technical leadership role, you will own complex scaling initiatives from design through production deployment, building robust workflows that drive operational accuracy and system availability. What You'll Do: Technical Ownership: Lead end-to-end engineering initiatives across checkout, order lifecycle management, and fulfillment integrations. System Architecture: Design and build reliable, stateful backend services and distributed workflows with an emphasis on correctness, data consistency, and explicit failure recovery patterns. Cross-Functional Collaboration: Partner with Product, Operations, and Engineering teams to translate complex requirements into scalable technical roadmaps. Engineering Excellence: Elevate code quality through rigorous design reviews, automated testing, observability, safe rollout strategies, and hands-on mentorship. What You Need: 5+ years of professional software engineering experience building complex, business-critical backend, distributed, or workflow systems. Core Language Fluency: Strong proficiency in modern programming languages (such as Go, Ruby, Java, or Python). Database & Cloud Expertise: Deep experience with relational databases (PostgreSQL/MySQL), transaction semantics, and cloud infrastructure (AWS, GCP, or Azure). Execution & Leadership: Proven track record of driving multi-sprint projects from ambiguity to successful production launch. AI-Assisted Workflow: Fluent in using AI developer tools (GitHub Copilot, ChatGPT, etc.) to optimize engineering velocity. Nice-to-Haves: Domain background in e-commerce, order management, payments, logistics, or high-throughput transactional pipelines. Experience with event streaming platforms (Kafka) and workflow orchestrators (Temporal or Airflow).
Open job

AI proposal draft

Generate a short cover letter to copy into the offer. Says you are interested and ready to work.

Sign in to generate an AI proposal draft.

Log in