
201 - 500 employees
Founded 2010
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.
🔥 3 minutes ago
Airflow
Apache
AWS
Azure
Cloud
Distributed Systems
ETL
Flask
Java
Kafka
Kubernetes
PySpark
Python
Redis
Snowflake
SQL
Where this job comes from
Posted on Resilinc's careers page, not through a job board
First seen by Remote Rocketship 3 minutes ago

201 - 500 employees
Founded 2010
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.
• Own the end-to-end delivery of backend features, platform modules, and engineering initiatives from design through production • Design, develop, and maintain scalable backend services, distributed data pipelines, and ingestion frameworks processing data from enterprise sources • Build and maintain production-grade Python web services and REST APIs using FastAPI, Flask, and Quart • Design and optimize distributed data processing pipelines using PySpark and SQL • Build and enhance scalable data ingestion frameworks for structured and semi-structured data from APIs, databases, cloud storage, and multiple file formats • Improve platform scalability, reliability, observability, performance, and maintainability • Collaborate with Product Managers and Architects to translate business requirements into technical solutions • Break down engineering initiatives into deliverable work items and drive execution • Perform code reviews, mentor junior engineers, and promote engineering best practices • Troubleshoot complex production issues and lead root cause analysis • Adopt modern tools, AI-assisted development practices, and continuous improvement initiatives
• 4–6 years of experience in backend engineering or data engineering • Strong programming skills in Python • Hands-on experience building distributed data processing pipelines using PySpark • Strong SQL skills, including complex query development, query optimization, and relational database design • Strong experience developing REST APIs and Python web services using FastAPI, Flask, or Quart • Experience building scalable ETL/ELT pipelines and enterprise data ingestion frameworks • Experience with cloud platforms such as Microsoft Azure or AWS • Hands-on experience with Git, CI/CD, and modern software engineering practices • Strong debugging, performance tuning, and problem-solving skills • Proven experience independently delivering features, modules, or projects from requirements through production • Ability to estimate work, identify technical risks, and drive timely delivery • Strong ownership mindset with excellent collaboration and communication skills • Comfortable leveraging AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, and Claude • Experience in a B2B SaaS, supply chain, compliance, or other data-intensive product company is preferred • Exposure to supply chain operations, compliance, or risk management domains • Experience with Databricks, Snowflake, Lakehouse technologies, or Delta Lake is preferred • Experience designing scalable backend architectures and distributed systems • Exposure to Java, Kafka, Redis, Apache Airflow, or Kubernetes • Experience mentoring engineers and contributing to technical design discussions
• Fully remote work arrangement • Full-stack benefits for health, wealth and wellbeing • Opportunities to connect in person • Opportunities for technical growth • Ownership and a voice in shaping impactful technology
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🔥 1 hour ago
Senior Software Engineer building secure, scalable full-stack platforms across cloud, data, AI, and software delivery. AHEAD helps enterprises achieve digital transformation.
🔥 23 hours ago
AI/full-stack developer building scalable web applications and AI integrations for Fusion Consulting’s life-sciences transformation projects. Leading client-side workstreams across Japan.
🕒 Yesterday
Senior Software Engineer designing clinical trial information-sharing software for Parexel, a global clinical development partner. Building database solutions, supporting pharmaceutical clients, and mentoring engineers.
🕒 Yesterday
Senior Staff Engineer leading SAP integration architecture, transformation programs, and production rollouts. Supporting Nagarro’s digital product engineering services across South Asia.
🕒 Yesterday
Senior backend engineer building Node.js/Go services for HighLevel’s AI-powered business operating system. Scaling messaging, automation, and distributed systems across global SMB infrastructure.