Software development manager leading engineers building Laivly’s AI-powered customer service platform. Driving technical execution, team growth, cloud services, and production reliability.
Responsibilities
Lead and develop a team of software developers through coaching, 1:1s, performance feedback, career development, and technical guidance
Drive execution across feature development, infrastructure improvements, and technical debt
Champion technical excellence across code quality, architecture, testing, security, reliability, and operational stability
Partner with Product to refine requirements, establish priorities, and translate product goals into achievable technical work
Drive adoption of AI across development practices, including planning, tooling, workflows, operations, and cost management
Identify blockers, facilitate technical decisions, and ensure engineers have necessary context and resources
Contribute to workforce planning and lead recruitment, selection, and onboarding of software engineering talent
Improve development practices and workflows to increase effectiveness, delivery speed, and responsiveness
Own production excellence by helping maintain healthy, reliable services and learning from incidents and operational challenges
Contribute to engineering strategy, emerging technologies, engineering practices, and architectural decisions for the AI platform
Requirements
5+ years of software development experience, including at least 2+ years in an engineering leadership or management role
A degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
Strong experience with one or more modern programming languages such as Python, TypeScript, or Java in scalable, production SaaS environments
Hands-on experience building and deploying cloud-based services using AWS, GCP, or Azure
Strong understanding of modern distributed and microservices architectures
Proven ability to lead complex software projects through the full software development lifecycle while managing priorities, dependencies, and risk
Strong knowledge of modern software engineering practices, including testing, API and database design, security, and production reliability
Experience coaching and developing software engineers while creating an environment of accountability, collaboration, and continuous improvement
Strong communication and problem-solving skills, with the ability to navigate technical discussions and work effectively across Engineering, Product, and other teams
Experience helping build and scale engineering teams in a fast-moving startup or growth-stage technology environment
Experience working with Machine Learning or Data Science teams and AI-driven products is considered an asset
Benefits
Flexible environment
Opportunity to collaborate and grow your career with a creative, diverse, and passionate team
Career development opportunities
Fun-loving, dedicated team environment
Equal Employment Opportunities
Accommodation for persons with disabilities during the application process
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