Resilinc - Senior Software Engineer

• 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 that process data from multiple enterprise sources. • Build and maintain production-grade Python web services and REST APIs using modern frameworks such as FastAPI, Flask, and Quart to support scalable backend applications and data ingestion services. • Design and optimize distributed data processing pipelines using PySpark and SQL for large-scale data processing. • Architect, build, and enhance scalable data ingestion frameworks that process structured and semi-structured data from enterprise APIs, databases, cloud storage, and multiple file formats. • Drive improvements in platform scalability, reliability, observability, performance, and maintainability. • Collaborate with Product Managers and Architects to translate business requirements into scalable technical solutions. • Break down large engineering initiatives into deliverable work items and drive execution across the team. • Perform code reviews, mentor junior engineers, and promote engineering best practices across the team. • Troubleshoot complex production issues and lead root cause analysis to improve platform stability. • Champion engineering excellence by adopting modern tools, AI-assisted development practices, and continuous improvement initiatives. • 4–6 years of experience in backend engineering or data engineering, preferably in a scalable B2B SaaS product environment. • Strong programming skills in Python, with experience building scalable backend applications. • 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 working with cloud platforms such as Microsoft Azure (preferred) 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 to improve engineering productivity, code quality, debugging, and problem-solving. • What Will Make You Stand Out • 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. • Experience working with modern cloud data platforms such as Databricks (preferred), Snowflake, and Lakehouse technologies, including Delta Lake. • Experience designing scalable backend architectures and distributed systems. • Exposure to one or more of the following technologies: Java, Kafka, Redis, Apache Airflow, or Kubernetes. • Experience mentoring engineers and contributing to technical design discussions.