Software Developer 2, Data Modeling & Integration

About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Chennai, India

About The Team The Data Platform team is responsible for building and operating the foundation that powers data and AI products across Kinaxis. We provide scalable, secure, and governed data infrastructure that enables analytics, AI, and product innovation across multiple business domains.

Our platform is built around modern cloud-native technologies including Databricks, Spark, Unity Catalog, Delta Lake, and cloud platforms such as Azure and GCP. We work closely with AI/ML, product, and engineering teams to ensure data is discoverable, trustworthy, secure, and accessible at scale.

As part of the team, you will help shape the future of our data platform, enabling teams across the organization to build high-impact data and AI solutions.

What you will do

If you enjoy building scalable platforms, solving complex data engineering challenges, automating infrastructure, and enabling developers to move faster, this role is for you.

• As a Software Developer 2, you will design, build, and operate large-scale data platform capabilities while balancing long-term maintainability, scalability, security, and developer experience.
• Engineer and evolve our Databricks platform across Azure and GCP, including workspace lifecycle management, infrastructure automation, governance, and platform reliability.
• Build and maintain data platform services, tooling, and infrastructure that enable reliable data ingestion, processing, sharing, and discovery.
• Drive platform engineering best practices through Infrastructure-as-Code, CI/CD automation, observability, and automated testing.
• Partner with AI/ML, product, and engineering teams to enable data-driven and AI-powered product capabilities.
• Leverage AI-assisted development tools and agentic coding workflows to accelerate software delivery while maintaining high engineering quality standards.
• Troubleshoot complex production issues, identify root causes, and drive preventative solutions that improve platform reliability and customer experience.

What we are looking for

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 5+ years of relevant industry experience building and operating production software systems.
• Experience designing and supporting large-scale data platforms or distributed systems in cloud environments.

Technical Skills

• Strong programming skills in Python, including experience building production-grade backend services and platform tooling.
• Strong SQL skills and deep understanding of data modeling, query optimization, and large-scale data processing.
• Strong knowledge of Databricks platform technologies including Unity Catalog, Delta Lake, Delta Sharing, Structured Streaming, data governance (RBAC/PII), data lineage, and enterprise-scale data management practices.
• Experience with REST API development using FastAPI, Flask, or similar frameworks.
• Experience with Terraform, CI/CD pipelines, Docker, …