Resil

Resil

Resil specializes in providing AI-powered supply chain risk management solutions that enable organizations to detect threats in real time and take proactive measures to enhance supply chain resiliency.

Internet Software & Services
201-500
Founded 2010

Description

  • Own end-to-end delivery of backend features, platform modules, and engineering initiatives from design through production support.
  • Design, develop, and maintain scalable backend services, distributed data pipelines, and enterprise data-ingestion frameworks.
  • Build production-grade Python web services and REST APIs using FastAPI, Flask, or Quart.
  • Design and optimize large-scale data-processing pipelines using PySpark and SQL.
  • Ingest structured and semi-structured data from enterprise APIs, databases, cloud storage, and multiple file formats.
  • Improve platform scalability, reliability, observability, performance, and maintainability.
  • Translate business requirements into scalable technical solutions with Product Managers and Architects.
  • Break down large initiatives, drive team execution, conduct code reviews, and mentor junior engineers.
  • Troubleshoot complex production issues and lead root-cause analysis.
  • Adopt modern engineering tools, AI-assisted development practices, and continuous-improvement initiatives.

Requirements

  • 4–6 years of backend or data engineering experience, preferably in a scalable B2B SaaS environment.
  • Strong Python programming experience building scalable backend applications.
  • Hands-on experience building distributed data-processing pipelines with PySpark.
  • Strong SQL skills, including complex queries, query optimization, and relational database design.
  • Experience developing REST APIs and Python web services with FastAPI, Flask, or Quart.
  • Experience building scalable ETL/ELT pipelines and enterprise data-ingestion frameworks.
  • Experience with cloud platforms; Microsoft Azure is preferred, with AWS also accepted.
  • Hands-on experience with Git, CI/CD, debugging, performance tuning, and modern software engineering practices.
  • Demonstrated ability to independently deliver projects from requirements through production, estimate work, and identify technical risks.
  • Experience using AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, or Claude.
  • Experience with Databricks, Snowflake, Lakehouse technologies, Delta Lake, distributed systems, Java, Kafka, Redis, Apache Airflow, or Kubernetes is preferred.
  • Experience in supply chain, compliance, risk management, or other data-intensive product environments is preferred.

Benefits

  • Fully remote work environment with opportunities to connect in person.
  • Health, wealth, and wellbeing benefits.
  • Collaborative culture with ownership and a voice in shaping impactful technology.
  • Opportunities for technical growth and meaningful work on critical global supply chains.

Interested in this position?

Apply directly on the company website

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