Software Engineer

Join the Future of Supply Chain Intelligence — Powered by Agentic AI

At Resilinc, were pioneering intelligent, autonomous systems that redefine supply chain risk management. Our agentic AI helps global enterprises predict disruptions, assess impact, and act in real time — before operations are affected. Named a 2025 Gartnerregistered Magic Quadranttrade mark Leader, were trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team thats redefining resilience on a global scale.

But the real power behind Resilinc Our people. Were a fully remote, mission-led team making sure life-saving products and critical goods get where theyre needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters.

Check out this blog to learn more about how we are impacting the worlds most critical supply chains. Global Supply Chain Risks 2026: Act Faster | TEC

Resilinc | Innovation with Purpose. Intelligence with Impact.

As a Software Engineer, you will 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.

This is a hands-on engineering role where youll contribute to building scalable backend platforms, solve complex engineering challenges, and continuously grow your expertise in distributed systems, data engineering, and cloud technologies.

What You Will Do

• Develop scalable and reliable backend systems by applying distributed systems principles such as asynchronous processing, fault tolerance, and efficient resource utilization
• Develop secure applications following authentication, authorization, and secure coding best practices
• Experience developing containerized applications using Docker
• Experience using logs, metrics, and monitoring tools to troubleshoot production systems
• Experience working with relational database design, indexing, and query optimization
• Deliver high-quality engineering solutions that meet product goals while adhering to agreed timelines
• Develop and maintain backend services, distributed data pipelines, and scalable ingestion frameworks that process data from multiple enterprise sources
• Develop and maintain production-grade Python web services and well-designed, documented, and versioned REST APIs using modern frameworks such as FastAPI, Flask, and Quart to support scalable backend applications and data ingestion services
• Develop and maintain distributed data pipelines using PySpark and SQL
• Build and enhance scalable data ingestion frameworks that support structured and semi-structured data from enterprise APIs, databases, cloud storage, and multiple file formats
• Investigate and resolve production issues while proactively enhancing platform reliability, performance, and scalability
• Develop well-tested, maintainable software by embracing automated testing, code reviews, CI/CD, and comprehensive documentation
• Collaborate effectively with senior engineers and cross-functional teams
• Continuously learn and adopt new engineering tools, technologies, and best practices to improve technical expertise and contribute to engineering excellence

• 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

• Experience working in a B2B SaaS, supply chain, compliance, or other data-intensive product company, preferably in a high-growth environment
• Exposure to supply chain operations, compliance, or risk management domains
• Exposure to modern cloud data platforms such as Databricks (preferred), Snowflake, and Lakehouse technologies including Delta Lake
• Experience building scalable ETL/ELT pipelines and data ingestion frameworks
• Exposure to one or more of the following technologies: Java, Kafka, Redis, Apache Airflow, or Kubernetes

At Resilinc, were fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks Full-stack benefits for health, wealth and wellbeing to keep you thriving. Check in with your talent acquisition contact for a location-specific FAQ.

Curious to know more about us Dive in at www.resilinc.ai

More great news! Resilinc is backed by Vista Equity Partners

Resilinc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

If you are a person with a disability needing assistance with the application process please contact [HIDDEN TEXT].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.