Support Software Engineer

Jobgether SRL; United States; Remote; USD 110,000 - 140,000; Full time

Benefits offered by this job

Fully remote work environment

Equity participation

Comprehensive benefits

Flexible vacation policy

Paid sabbatical

Wellness stipend

Learning stipend

Offsites and team gatherings

Job summary

Jobgether SRL is seeking a Support Software Engineer in the United States to keep AI-powered customer service products reliable in live production. You will handle production issues, investigate across AI agents, APIs, and legacy TS systems, and cooperate with customers to reproduce and validate solutions.

You will work autonomously, escalating to frontline teams when needed, and build internal tooling to speed future investigations. This remote role offers impact in a fast-moving AI environment.

Qualifications

• Experience debugging unfamiliar codebases and tracing logs across complex systems.
• Ability to analyze production issues and coordinate testing with customers.
• Strong communication to explain technical solutions to non-technical audiences.
• Comfort working across a broad technical surface area including APIs, authentication, and legacy TS code.
• Experience with agentic tooling and enterprise platforms is a plus.

Responsibilities

• Own production bugs and enhancement requests requiring engineering expertise beyond frontline support.
• Investigate issues across AI agent behavior, telephony, integrations, APIs, and legacy systems.
• Analyze logs, code, and data to identify root causes and implement fixes.
• Design, test, and deploy fixes within the development workflow.
• Serve as primary technical contact for customers with live issues.
• Coordinate customer testing and clearly communicate solutions.
• Build internal tools and automations to speed future investigations.
• Collaborate with Product to identify recurring feedback and improvement opportunities.
• Maintain service levels and performance metrics while balancing depth and speed.

Skills

Debugging across complex systems

Production engineering

Customer-facing communication

Root cause analysis

Cross-team collaboration

Tools

Claude Code

Cursor

Salesforce

Zendesk

Jira

Job description

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 United States.

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.