Senior Software Engineer

Job description

Novara provides safety, operational risk management, and sustainability software that empowers organizations to identify and resolve issues before they become incidents. Through the Flex and Risk Management Center platforms, Novara helps organizations manage operational risk proactively with a system they can configure to fit their operations, data that unifies risk and safety intelligence, and tools that increase workforce participation. Novara’s combination of software, training, and AI-powered tools put people and safety first while protecting critical operations. Position Description: The Flex platform helps clients develop a comprehensive compliance program, leveraging technology to instill a culture of safety and maintain a productive workplace. The platform combines features that are tailored to the needs of our client’s business, including audits and inspections, incident management, flexible training, and reporting and insights. As a member of our development team, the Senior Software Engineer will play a key role in delivering modern, web-based software for the Flex solution. In a full-stack capacity, the successful candidate will write and maintain high-quality code that empowers clients to keep their team safe. The innovative technology and user-customizable platform enables clients to collect, evaluate, understand, and implement safety and training information in real-time. ### Knowledge, Experience, Requirements: - Software engineering experience equivalent to senior-level software engineer - Strong proficiency in [Node.js](http://Node.js) and Typescript/Javascript - Experience with modern web technologies such as Vue, React, or other component-based frameworks - Ability to operate in an AI-first development environment where AI tools are actively used for architecture exploration, code generation, refactoring, test creation, and documentation. Engineers are expected to demonstrate effective prompt engineering and critical evaluation of AI-generated outputs. - Solid understanding of data structures, algorithms, and system design - Strong debugging and performance optimization skills - Familiarity with cloud infrastructure and CI/CD practices - Familiarity with relational database technologies and SQL, including query optimization and data modeling concepts - Strong communication and collaboration skills, thriving in an agile, team-based environment - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline preferred ### Success Criteria: - Delivers high-quality, production-ready features on time with strong test coverage and minimal rework. - Effectively leverages generative AI tools across the SDLC (design, implementation, testing, debugging, documentation) to improve speed and quality. - Demonstrates strong judgment in validating, refining, and securing AI-generated code before production use. - Translates ambiguous product requirements into well-structured technical plans and shipped solutions. - Writes clean, maintainable, well-documented code that is easy for others to understand and extend. - Actively contributes to and improves code reviews, using both engineering expertise and AI tools to raise overall quality. - Communicates technical concepts, tradeoffs, and risks clearly to engineering peers, product partners, and stakeholders. - Shares AI workflows, automation techniques, and best practices to increase overall team productivity. - Takes end-to-end ownership of projects, proactively managing risks, dependencies, and follow-through. - Actively mentors junior and mid-level engineers through code reviews, technical guidance, and pair programming. - Encourages knowledge sharing through technical discussions, documentation, and internal learning sessions. - Contributes positively to team culture by collaborating effectively, giving and receiving feedback constructively, and fostering continuous learning. ### Compensation: - Annual Base Salary Range of 130k-150k - Annual Bonus Opportunity of 10%