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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing reliable systems for processing large volumes of customer warehouse data, utilizing AI coding tools, and mentoring engineers in their effective use. Strong architectural skills and the ability to evaluate and implement new tools and models are essential.
Highest-signal resume keywords
Software Engineering ExperienceAI Coding Agents ProficiencyArchitectural SkillsProficiency in Java, Python, Go, or JavaScript/TypeScriptExperience with Cloud Platforms and Automated Deploy Pipelines
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 Coding AgentsArchitectural DesignJavaPythonGoJavaScriptTypeScriptSQLSystem Scaling
Soft Skills
Collaborative CommunicationJudgmentPersistenceConstructive Attitude
Tools & Technologies
Cloud PlatformsContainersAutomated Deploy Pipelines
Industry Keywords
Customer DataEarly-Stage StartupData IntegrityReliability
Tech Stack
Tools & technologiesCloudJavaJavaScriptPythonSQLTypeScriptGo
About the role
Key responsibilities & impact- Design reliable systems that process large volumes of customer warehouse data
- Use AI coding tools by writing clear specs and context, running agents on parallel workstreams, and critically reviewing their output
- Build shared AI workflows, guardrails, and review standards
- Evaluate new tools and models and share worthwhile ones with the team
- Write architecture documents explaining the systems, tradeoffs, and rationale
- Understand customer needs and decide what is worth building
- Mentor engineers, including effective use of AI coding tools
- Work directly with product to turn customer problems into shipped features
Requirements
What you’ll need- 5+ years of software engineering experience, including time at an early-stage startup (Seed through Series B)
- Deep experience with AI coding agents, and examples of how to scale their use across a team
- Judgment to catch AI output that is wrong, incomplete, or risky, especially with customer data
- Track record of scaling systems as load, data, and customers grow
- Strong architectural skills, with examples
- Knowledge of when to ship something simple and when reliability, data integrity, or architecture cannot wait
- Proficiency in Java, Python, Go, or JavaScript/TypeScript, plus strong SQL
- Experience with cloud platforms, containers, and automated deploy pipelines
- Clear, collaborative communication, especially in writing
- Persistence and a constructive attitude when things break or plans change
- Must live in the United States and be authorized to work there
- Visa support will not be provided
Benefits
Comp & perks- Equity
- Medical, dental, and vision benefits
- 401(k) retirement program
- Home office stipend
- Paid time off and paid parental leave
- The latest AI tools, and freedom to try new ones
