Senior AI/ML Software Engineer

Role Overview

• Serve as the technical lead for large-scale, complex software projects, ensuring architectural integrity, scalability, and performance
• Provide expert guidance on software design, architecture, and implementation strategies to ensure alignment with business and technical objectives
• Drive technical innovation and evaluate emerging technologies to integrate into the development ecosystem
• Lead the design and development of key system components, frameworks, and services that form the foundation of Duck Creek’s product offerings
• Collaborate with Product Management, Quality Assurance, and other Engineering teams to deliver high-quality, on-time software solutions
• Influence technical roadmaps and make architectural decisions that support long-term scalability and maintainability
• Ensure adherence to software development best practices, including coding standards, testing, security, and performance optimization
• Partner with engineering teams across the organization to solve complex technical challenges and drive engineering excellence
• Conduct design reviews, code reviews, and provide constructive feedback to engineering teams
• Develop and maintain detailed technical documentation that supports the engineering teams in delivering solutions efficiently
• Work closely with DevOps to ensure continuous integration and deployment pipelines are optimized for fast and reliable software delivery
• Act as a thought leader within the engineering organization, contributing to technical discussions, knowledge sharing, and fostering a culture of technical excellence.

Requirements

• Bachelor’s or Masters Degree and/or equivalent experience relevant to functional area
• 6+ years software development experience with 3+ years with technical leadership experience
• Extensive experience of developing highly available and elastically scalable cloud services in .NET
• Proficient in Python programming and exposure to machine learning development using libraries such as PyTorch, scikit-learn and pandas
• Extensive experience with software architecture, design patterns, and microservices
• Expertise in cloud computing platforms such as Azure, AWS or Google Cloud
• Strong technical leadership experience on large-scale projects in a global organization
• Experience with cloud-native architectures, containerization, and orchestration technologies (e.g., Kubernetes, Docker)
• In-depth understanding of modern software development methodologies, including Agile, Scrum, and DevOps practices
• Proficiency in software development tools, such as Jira, Git, and CI/CD pipelines
• Knowledge of software architecture principles, including microservices, APIs, and containerization
• Proficiency in managing complex software development projects with competing priorities and deadlines
• Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders
• Strong analytical and problem-solving skills, with the ability to make data-driven decisions
• Ability to foster a collaborative, high-performing engineering culture
• Commitment to continuous improvement, innovation, and process optimization
• Ability to manage conflict and resolve complex team dynamics
• Strategic thinking with a focus on long-term planning and aligning engineering efforts with business goals
• High emotional intelligence and ability to manage diverse teams effectively
• Ability to operate in a fast-paced, dynamic environment with changing priorities.

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Kubernetes
• Microservices
• Pandas
• Python
• PyTorch
• Scikit-Learn
• .NET

Benefits

• Flexible work environment
• Medical, dental, vision, life and disability insurance
• 401(k) Retirement Plan
• Flexible Spending & Health Savings Account
• Paid holidays, vacation, and volunteer time
• Employee assistance program and other benefits