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Software Engineer – R&D Operations
Brick Underground. Investigate bugs, system edge cases, and platform anomalies as the primary contact for internal R&D technical escalations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong coding and debugging skills in modern web development stacks, with proven experience in AI-assisted development tools and integrating AI capabilities into workflows. Capable of analyzing and resolving technical blockers while collaborating effectively with cross-functional teams to enhance product performance.
Highest-signal resume keywords
Software EngineeringAI Tools ExperienceJavaScript/TypeScript CodingREST API UnderstandingAnalytical Troubleshooting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI ToolsJavaScriptTypeScriptNode.jsPythonREST APIsSQL DatabasesNoSQL DatabasesDebugging
Soft Skills
Analytical AbilitiesCommunication Skills
Tools & Technologies
CursorGitHub CopilotChatGPTClaudeDatadogSentryKibanaPostman
Industry Keywords
SaaSPropTechCI/CD PipelinesDockerKubernetes
Tech Stack
Tools & technologiesCloudDockerJavaScriptKubernetesMicroservicesNode.jsNoSQLPythonSQLTypeScript
About the role
Key responsibilities & impact- Investigate bugs, system edge cases, and platform anomalies as the primary contact for internal R&D technical escalations
- Analyze, prioritize, and resolve technical blockers to protect product squad sprint velocity
- Write scripts, bug fixes, micro-features, and patches within the codebase
- Use AI tools to optimize processes and develop AI-driven internal workflows
- Serve as the primary R&D focal point for Customer Success
- Collaborate with Customer Success, DevOps, Product, and feature squads to translate recurring issue trends into long-term architectural improvements
- Maintain and improve internal tooling, staging environments, diagnostic workflows, and developer documentation
Requirements
What you’ll need- Minimum 4 years of experience in Software Engineering, Developer Support Engineering, or high-tier Technical Operations
- 2+ years of experience with AI tools and “Vibe Coding”
- Proven experience using AI-assisted development tools such as Cursor, GitHub Copilot, ChatGPT, or Claude
- Hands-on experience integrating AI capabilities or LLMs into workflows
- Strong hands-on coding and debugging skills in modern web development stacks such as JavaScript/TypeScript, Node.js, or Python
- Understanding of REST APIs, backend microservices, modern SQL/NoSQL databases, and cloud infrastructure concepts
- Experience with log management, monitoring, and debugging tools such as Datadog, Sentry, Kibana, or Postman
- Strong analytical and troubleshooting abilities, including reading code, tracing errors across system boundaries, and independently isolating root causes
- Excellent communication skills for explaining complex technical issues to developers, product stakeholders, and customers during technical escalations
- B.Sc. in Computer Science or related field is listed as nice to have, not required
- Prior experience in a fast-paced SaaS or PropTech environment is nice to have
- Basic understanding of CI/CD pipelines, Docker, or Kubernetes is nice to have
Benefits
Comp & perks- Opportunity to contribute directly to core product features
- Opportunity to work extensively with modern AI technologies
- Opportunity to leverage AI to automate internal workflows and enhance the platform