R- Work from
- India
- Contract
- Full-time
- Experience
- Senior
- Posted
- 14 November 2026
- Apply by
- 13 January 2027
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 multitenantB2B SaaS platform.
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
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.
About the role
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.
Responsibilities
- 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.
Nice to have
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.
Benefits
- 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
More great news! Resilinc is backed by Vista Equity Partners
About Resilinc
Resilinc | Innovation with Purpose. Intelligence with Impact.
Resilinc | Innovation with Purpose. Intelligence with Impact.
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.
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.
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Discussion
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