Backend Developer II, Python

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 : Open for Both Chennai & Bangalore

About the role

Kinaxis is seeking a highly motivated Software Developer to join the Advanced Inventory Optimization (AIO) team within the Algorithms organization. In this role, you will contribute to the development, testing, and delivery of scalable inventory optimization and analytics capabilities that power the Kinaxis Maestro platform. Working across software engineering, quality engineering, cloud technologies, and data-driven applications, you will help solve complex supply chain planning challenges for global customers.

What you will do

• Design, develop, test, and support backend product capabilities, services, APIs, data pipelines, and workflows within the AIO platform.
• Develop scalable, reliable, and maintainable Python applications and backend services using object-oriented programming, modular architectures, reusable components, and modern software engineering practices.
• Build and maintain REST APIs and service components using Python frameworks such as Flask, Django, FastAPI, or equivalent technologies, enabling integration across product services, databases, optimization engines, and enterprise systems.
• Develop data-processing and algorithm-integration pipelines that transform product and supply chain data into inputs for optimization and analytical models and integrate model outputs back into product workflows.
• Build and maintain comprehensive automated test suites and validation frameworks, including unit, API, integration, regression, end-to-end, performance, scalability, and data-validation testing.
• Develop robust approaches for algorithm and numerical validation, including input/output validation, boundary and edge-case testing, benchmark comparison, convergence validation, regression detection, and computational performance analysis.
• Validate inventory optimization, supply chain planning, and analytical capabilities using representative datasets, scenario-based testing, benchmarking, and data-driven analysis.
• Work with SQL databases, data-access layers, REST interfaces, data transformation frameworks, asynchronous/background processing, and data-intensive backend workflows.
• Analyze and improve application and algorithm performance, including runtime, memory utilization, service performance, computational scalability, and processing of large enterprise datasets.
• Apply engineering practices around code quality, testability, resiliency, observability, error handling, security, scalability, and production readiness throughout the software development lifecycle.
• Contribute to DevOps and continuous delivery practices, including Git-based development, code reviews, automated builds, CI/CD pipelines, quality gates, deployment automation, environment configuration, and release validation.
• Build and support containerized and cloud-native backend services using Docker and Kubernetes, ensuring consistent development, testing, deployment, and production environments.
• Support application operations through logging, monitoring, health checks, diagnostics, performance monitoring, troubleshooting, and root-cause analysis.
• Troubleshoot and resolve complex software defects, integration issues, algorithmic problems, performance bottlenecks, and quality concerns across backend services and optimization workflows.
• Collaborate with product managers, software engineers, applied scientists, and domain experts to translate product, supply chain, and optimization requirements into production-grade software solutions.
• Leverage AI-assisted development tools and agentic engineering workflows for coding, automated test generation, code analysis, debugging, documentation, and engineering automation, while applying appropriate review and quality guardrails.
• Develop domain and technical knowledge across supply chain planning, inventory optimization, mathematical optimization, analytics, and decision intelligence to contribute to product innovation and customer success.

What we are looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Data Science, Industrial Engineering, Mathematics, or a related technical field.
• Experience : 4-6 years
• Strong foundation in software engineering, object-oriented programming, data structures, algorithms, software design principles, and problem solving.
• Strong proficiency in Python and experience developing production-quality software.
• Experience developing backend applications, services, and REST APIs using frameworks such as Flask, Django, FastAPI, or equivalent technologies.
• Understanding of API design, HTTP/REST, JSON, service integration, error handling, logging, and application observability.
• Experience with SQL, relational databases, data-access patterns, and data-processing libraries such as pandas and NumPy.
• Strong understanding of software testing and quality engineering, including unit testing, API testing, integration testing, regression testing, mocking, test automation, debugging, and root-cause analysis.
• Familiarity with Python testing tools and frameworks such as pytest, unittest, or equivalent technologies.
• Experience with Git and modern source-control practices, including branching, pull requests, code reviews, and automated quality checks.
• Working knowledge of DevOps and CI/CD practices, including automated build, test, deployment, and release processes.
• Familiarity with CI/CD technologies such as GitHub Actions, Azure DevOps, Jenkins, or equivalent platforms.
• Familiarity with Docker and Kubernetes for packaging, deploying, validating, and troubleshooting backend applications and services.
• General understanding of cloud-native application development, microservices, distributed systems, scalability, resiliency, configuration management, monitoring, and production troubleshooting.
• Exposure to numerical computing, mathematical optimization, operations research, analytics, machine learning, or data-intensive software systems is an advantage.
• Exposure to supply chain planning, inventory optimization, safety stock, service-level optimization, or decision intelligence is a plus.
• Familiarity with AI-assisted software development, coding copilots, agentic development workflows, or engineering automation is an advantage.
• Strong analytical thinking, problem-solving, collaboration, ownership, and communication skills, with the ability to work effectively across software engineering, science, product, and domain teams.

#Intermediate #LI-RJ1 #Fulltime

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 welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at [email protected]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

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.