Software Engineer

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Resilinc

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🏢 Enterprise

☁️ SaaS

Enterprise • AI • SaaS

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.

📋 Description

• Work closely with Senior Software Engineers, Tech Leads, Product Managers, and Architects to build, maintain, and enhance backend services and distributed data pipelines that power our multi-tenant B2B SaaS platform. • Contribute to building scalable backend platforms, solve complex engineering challenges, and continuously grow your expertise in distributed systems, data engineering, and cloud technologies.

🎯 Requirements

• 2–4 years of experience in backend engineering or data engineering, preferably in scalable product environments. • Strong programming skills in Python, with experience developing backend applications, REST APIs, and data processing solutions using modern engineering practices. • Hands-on experience building distributed data processing pipelines using PySpark, along with strong SQL skills, including writing complex queries, query optimization, and working with relational databases. • Experience building backend services and working with cloud platforms such as Microsoft Azure (preferred) or AWS. • Hands-on experience with Git and modern version control practices. • Strong problem-solving and debugging skills, with the ability to take ownership of engineering deliverables and independently drive solutions with minimal guidance. • Growth mindset with a passion for learning, continuous improvement, and thriving in a collaborative product engineering environment. • Effectively leverage AI-assisted development tools while applying sound engineering judgment and maintaining high standards for code quality, correctness, and security.

🏖️ Benefits

• Full-stack benefits for health, wealth and wellbeing • Opportunities to connect in person