Kinaxis
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Enterprise Software & Network Solutions · 1001 to 5000 Employees · Ottawa, Canada
We encourage you to explore job opportunities at Kinaxis and we also urge you to be cautious of recruitment scams. Learn more at www.kinaxis.com/en/careers. Everyday volatility and uncertainty demand quick action. Kinaxis® delivers the agility to make fast, confident decisions across integrated business planning and the digital supply chain. People can plan better, live better and change the world. Trusted by innovative brands, we combine human intelligence with AI and concurrent planning to help companies plan for any future, monitor risks and opportunities and respond at the pace of change. Powered by an extensible, cloud-based platform, Kinaxis delivers industry-proven applications so everyone can know sooner, act faster and remove waste. Don’t believe us? Ask us to prove it. Learn more at Kinaxis.com.
Hiring: Engineering
What employees say
+ great place to work so far
− nothing to complain about yet
More reviews on the company profile.
Interview experience · Associate Technical Consultant
The Kinaxis interview was conducted at Chennai , where there were totally 5 rounds - Online Assessment, Technical round, Presentation Round, HR Round and TA Round - The first round was OA, it consists of 30 MCQ and 2 cod
Average difficulty · Chennai · 23 reports
More interview insightsJob description
Overview
Are you looking to join an innovative, market-leading company where you can truly elevate your career?
Responsibilities
- 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.
Qualifications
- 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.
- Strong understanding of cloud platforms such as Azure, GCP, or AWS.
- Comfortable working with AI-assisted software development tools such as GitHub Copilot, Claude Code, Cursor, or similar technologies.
- Ability to identify and implement opportunities to accelerate the SDLC through AI-driven tooling and automation.
- Strong judgement when reviewing AI-generated code, ensuring correctness, maintainability, security, and architectural consistency.
- Excellent communication and collaboration skills.
- Strong ownership, problem-solving, and troubleshooting abilities.
- Comfortable working in ambiguous environments and driving outcomes independently.
- Familiarity with event-driven architectures, Kafka, streaming platforms, or real-time data processing.
- Exposure to supply chain, planning, analytics, or enterprise SaaS domains.
- Flexible vacation and Kinaxis Days (company-wide days off)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs, training, and career development
- Recognition programs and referral rewards
- Hackathons
Education
- 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.
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Job application FAQ
Last updated 26 September 2026
- How do I apply for AI/ML Python Engineer 2, Databricks at Kinaxis?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kinaxis may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML Python Engineer 2, Databricks role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI/ML Python Engineer 2, Databricks remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this AI/ML Python Engineer 2, Databricks role at Kinaxis?
- This is a mid-level AI/ML Python Engineer 2, Databricks role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.