Support Software Engineer
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?
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