Support Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Support Software Engineer based in Canada. This is a hands-on engineering role focused on keeping AI-powered customer service products reliable in live production environments. You will investigate complex technical issues spanning AI agents, conversational intelligence, telephony, integrations, APIs, authentication, and legacy systems. The role combines deep debugging, software development, customer interaction, and internal tooling in a highly autonomous environment. You will work directly with customers to understand issues, reproduce problems, coordinate testing, and communicate solutions clearly. As an escalation point for frontline support engineers, you will help resolve challenging production issues and strengthen the broader support organization. Your work will directly influence platform reliability, customer satisfaction, and the efficiency of future investigations and fixes. This is a remote opportunity within a fast-moving AI environment where your technical contributions have visible impact. Accountabilities Own production bugs, technical issues, and enhancement requests that require engineering expertise beyond frontline support capabilities.Investigate issues across a broad technical landscape, including AI agent behavior and configuration, conversation intelligence, telephony, SSO and authentication, integrations, APIs, LLM prompting, and TypeScript-based legacy systems.Analyze logs, source code, conversation data, and internal tools to identify root causes and determine effective solutions.Design, implement, test, and deploy fixes and enhancements using modern agentic coding tools as part of the development workflow.Serve as a primary technical point of contact for customers experiencing live production issues.Gather and validate requirements, confirm reproduction steps, coordinate customer testing, and communicate technical solutions in clear, accessible language.Act as an escalation resource for frontline Support Engineers, providing technical guidance and context on complex issues.Build and maintain internal tools, automations, and workflows that make future investigations, fixes, and enhancements faster and more efficient.Collaborate with Product teams by identifying recurring customer feedback, technical trends, and opportunities for product improvements.Maintain agreed service levels and support performance metrics while balancing technical depth with timely issue resolution.Contribute to a culture of ownership, transparency, continuous improvement, and constructive feedback. Requirements Strong experience in software engineering, technical support engineering, production engineering, or a closely related discipline.Demonstrated ability to debug unfamiliar codebases, trace logs, identify root causes, and reason across complex technical systems.Solid understanding of production debugging, distributed systems, REST APIs, and authentication technologies such as OAuth 2.0.Comfortable working across a broad technical surface area rather than specializing exclusively in one system or technology.Experience using agentic coding tools such as Claude Code, Cursor, or equivalent solutions as an integral part of software investigation and development.Ability to work effectively with legacy TypeScript code while also adapting to modern engineering practices and tools.Strong customer-facing communication skills, with the ability to gather requirements, reproduce issues, coordinate testing, and explain technical solutions to non-technical audiences.Ability to remain calm, empathetic, and solutions-oriented when supporting customers through high-impact or frustrating production incidents.Strong ownership, analytical thinking, prioritization, and problem-solving skills.Ability to collaborate effectively with engineering, support, product, and customer-facing teams in a distributed environment.Nice to have: Experience with LLM prompting or debugging conversational AI and voice AI systems.Nice to have: Experience with enterprise platforms such as Salesforce, Zendesk, or Jira.Nice to have: Experience building internal tooling or automation that reduces manual engineering or support effort. Benefits Fully remote work environment designed around flexibility, trust, and autonomy.Competitive compensation aligned with the impact and scope of the role.Equity participation, providing an opportunity to share in the company's growth.Comprehensive employee benefits.Flexible vacation policy.Paid sabbatical after five years.Wellness stipend supporting physical and mental well-being.Technology and learning stipend covering eligible conferences, books, courses, and professional development.Company-wide offsites and smaller team gatherings designed to foster meaningful connection within a distributed workforce.Opportunity to work with cutting-edge AI, LLM, voice technology, and enterprise-scale production systems.Inclusive and collaborative culture built around ownership, humility, self-reflection, transparency, and continuous improvement.Workplace accommodations available throughout the recruitment process for candidates who require them. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.