Kinaxis · 1 month ago
Staff Software Developer, Machine Learning
Kinaxis is a global leader in modern supply chain orchestration, known for its innovative AI-infused platform that supports complex global supply chains. They are seeking a talented Staff Software Developer specializing in Machine Learning to contribute to their enterprise-grade AI software solutions, focusing on delivering end-to-end machine learning solutions for supply chain management.
Big DataAutomotiveEnterprise SoftwareInformation TechnologySoftwareLogisticsAnalyticsSupply Chain Management
Responsibilities
All aspects of the machine learning software development life cycle are familiar to you
You are passionate about shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality
You’re fluent in Python object-oriented development and in the cloud
In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies
You have the ability and enthusiasm to learn new technologies whether they are infrastructure language or platform and easily adapt to change
You will define, drive, design, and build/ship end-to-end solutions that not only solve real customer problems but also create automated ML-based solutions to orchestrate our customers’ supply chains, including architectural design, relevant design documentation, test planning and execution
You will contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research and state-of-the-art results for our customers
You will drive architecture, design, and delivery of advanced ML systems in the Product R&D team
Oversee the work of junior developers and actively engage team members to develop their skills and build shared ownership across the code base
Proactively engages outside of team to unblock other team members while progressing their own technical assignments
Qualification
Required
Proven expertise in designing, provisioning, deploying, and operating large-scale systems on AWS, Azure or GCP
Strong hands-on experience with Docker, Kubernetes (managed via Argo CD, Helm, or similar), infrastructure automation using Terraform, and distributed systems
Practical experience building solutions using agentic AI patterns, RAG, vector databases, and orchestration frameworks like LangGraph/Google ADK/OpenAI Agent SDK, including prompt engineering and context engineering for production of the agentic workflows
Extensive experience developing robust ML-driven systems with Python and modern data tooling
Skilled in debugging, optimizing, testing, and delivering production-quality software
Ability to guide architecture, mentor developers, and drive high-quality engineering decisions across teams
Strong written and verbal communication skills suitable for both technical and non-technical audiences
Operate as a technical advisor to managers/leaders
Experience in leveraging agentic software development tools - such as GitHub Copilot, Claude Code or other autonomous agents - to accelerate delivery of new features and resolution of issues
Bachelor's degree or higher in Computer Science or a related field
5-7 years of experience in software engineering, machine learning or related fields
Preferred
Experience with supply chain or manufacturing systems
Solid grounding in algorithms, data structures, linear algebra, probability, and optimization
Experience with tools such as Argo Workflows or similar
Benefits
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
Company
Kinaxis
Kinaxis is a leading provider of cloud-based subscription software.
H1B Sponsorship
Kinaxis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
24%
Represents job field similar to this job
Engineering and Development
Management and Executive
Sales
Customer Service and Support
Trends of Total Sponsorships
*2026 (1)
2025 (13)
2024 (5)
2023 (9)
2022 (9)
2021 (4)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
$78.8MKey Investors
HarbourVest Partners,TechnoCapHarbourVest Partners
2014-11-25Post Ipo Secondary· $45.8M
2014-06-10IPO
2000-05-25Series Unknown· $33M
Recent News
2026-06-29
Company data provided by crunchbase