Salary not disclosed
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Role overview
Job description
B2B SaaS platform.
This is an ownership-driven engineering role where you will be responsible for the end-toend
delivery of features, platform modules, and engineering initiatives—from understanding product requirements and technical design to implementation,deployment, and production support. You'll collaborate closely with Tech Leads, Architects, Product Managers, QA, and other engineering teams to deliver reliable, scalable, and maintainable software.
What You'll Do
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.
What's in it for you? At Resilinc, we’re 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
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About this listing
- Source: Resilinc's official careers site · still listed there on 15 Nov 2026
- Posted 11 Nov 2026
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What they are looking for
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What You Will Bring 4–6 years of experience in backend engineering or data engineering, preferably in a scalable B2B SaaS product environment
Department · Data Science
Hiring company
Resilinc
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