🔥 17 hours ago
Desarrolla funcionalidades y APIs backend con PHP y Python, integra servicios externos y modelos de IA, y contribuye a la arquitectura, calidad y validación del software junto al equipo.
Senior Software Engineer
🕒 7 days ago
PythonPysparkSQLFastapi
📜 Description
- Deliver backend features, platform modules, and engineering initiatives from design through production support.
- Build Python web services, REST APIs, distributed data pipelines, and enterprise data ingestion frameworks.
- Process large-scale data using PySpark and SQL across structured and semi-structured sources.
- Improve platform scalability, reliability, observability, performance, and maintainability.
- Collaborate with product, architecture, QA, and engineering teams to shape solutions and drive delivery.
- Review code, mentor junior engineers, and troubleshoot production issues through root cause analysis.
🛠️ Requirements
- 4–6 years of backend or data engineering experience, preferably in a scalable B2B SaaS environment.
- Strong Python skills and experience building scalable backend applications and REST APIs with FastAPI, Flask, or Quart.
- Hands-on experience with PySpark, SQL, ETL/ELT pipelines, and enterprise data ingestion frameworks.
- Experience with Azure or AWS, Git, CI/CD, debugging, and performance tuning.
- Ability to deliver features or projects from requirements through production, estimate work, and identify technical risks.
- Strong ownership, collaboration, and communication skills; comfortable using AI-assisted development tools.
✨ Benefits
- Health benefits
- Wealth benefits
- Wellbeing benefits
- Opportunities to connect in person
Full job description
Join the Future of Supply Chain Intelligence — Powered by Agentic AI
At Resilinc, we’re 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 Gartner® Magic Quadrant™ Leader, we’re trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team that's redefining resilience on a global scale.
But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team making sure life-saving products and critical goods get where they’re 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 world's most critical supply chains. Global Supply Chain Risks 2026: Act Faster | TEC
Resilinc | Innovation with Purpose. Intelligence with Impact.
Join the Future of Supply Chain Intelligence — Powered by Agentic AI
At Resilinc, we’re not just solving supply chain problems — we’re pioneering the intelligent,
autonomous systems that will define its future. Our cutting-edge Agentic AI enables global
enterprises to predict disruptions, assess impact instantly, and take real-time action —
before operations are even touched. Recognized as a Leader in the 2026 Gartner® Magic
Quadrant™ for Supply Chain Risk Management, we are trusted by marquee clients
across life sciences, aerospace, high tech, and automotive to protect what matters most —
from factory floors to patient care.
But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team
making sure life-saving products and critical goods get where they’re 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.
Resilinc | Innovation with Purpose. Intelligence with Impact.
About The Role
As a Senior Software Engineer, you will play a key role in designing, building, and delivering scalable backend services and distributed data platforms that power our multitenant
B2B SaaS platform.
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
What You Will Bring
-
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.
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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.
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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.
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Exposure to supply chain operations, compliance, or risk management domains.
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Experience working with modern cloud data platforms such as Databricks (preferred), Snowflake, and Lakehouse technologies, including Delta Lake.
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Experience designing scalable backend architectures and distributed systems.
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Exposure to one or more of the following technologies: Java, Kafka, Redis, Apache Airflow, or Kubernetes.
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Experience mentoring engineers and contributing to technical design discussions.
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