AI/ML Python Engineer 2, Databricks

Kinaxis; Bengaluru; Hybrid; INR 1,400,000 - 2,100,000; Full time

Benefits offered by this job

Flexible vacation and Kinaxis Days

Flexible work options

Well-being programs

Virtual fitness classes

Mentorship and career development

Recognition programs

Job summary

Kinaxis, a global leader in supply chain orchestration, is hiring for a Software Developer 2 on the Data Platform team in Bangalore/Chennai (Hybrid).

You will design and operate large-scale data platform capabilities, advance our Databricks platform on Azure and GCP, and collaborate with AI/ML teams to enable data-driven product features. Strong cloud, Python, and SQL skills are essential.

Qualifications

• 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.

Responsibilities

• Design, build, and operate large-scale data platform capabilities with maintainability and security in mind.
• Evolve our Databricks platform across Azure and GCP, including workspace lifecycle management and automation.
• Build and maintain data platform services enabling ingestion, processing, sharing, and discovery.
• Drive platform engineering best practices through infrastructure-as-code, CI/CD, observability, and testing.
• Partner with AI/ML, product, and engineering teams to enable data-driven capabilities.
• Leverage AI-assisted development tools to accelerate software delivery while maintaining quality.
• Troubleshoot production issues, identify root causes, and improve platform reliability.

Skills

Python programming

SQL

Databricks

REST API

Terraform

CI/CD

Docker

Kubernetes

Cloud platforms

AI-assisted tools

Data governance

Education

Bachelor's or Master's in CS/Software

Tools

Unity Catalog

Delta Lake

Delta Sharing

Structured Streaming

Job description

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

Bangalore or Chennai, India (Hybrid)

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, Kubernetes, and modern software engineering 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.

Soft Skills

• Excellent communication and collaboration skills.
• Strong ownership, problem-solving, and troubleshooting abilities.
• Comfortable working in ambiguous environments and driving outcomes independently.

Nice to Have

• Experience operating multi-tenant SaaS data platforms.
• Familiarity with event-driven architectures, Kafka, streaming platforms, or real-time data processing.
• Experience implementing platform observability, cost optimization, and governance at scale.
• Exposure to supply chain, planning, analytics, or enterprise SaaS domains.

Work With Impact

Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands

Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis

Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

• 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

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.