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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying production software, particularly in Rails and Python applications, while improving the scalability and reliability of computer vision and LLM systems. Strong collaboration skills with a focus on mentoring and architectural decision-making are essential.
Highest-signal resume keywords
Rails Application DevelopmentPython ProgrammingProduction Computer Vision PipelinesAWS or GCP ExperienceCI/CD and Kubernetes Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Software DevelopmentDebugging SkillsCode Review SkillsPostgreSQL ExperienceBackground Job SystemsMessaging SystemsModel Infrastructure BuildingLLM OrchestrationIncident Response ParticipationDesign Documentation Writing
Soft Skills
MentoringCollaborationProblem-Solving
Tools & Technologies
MLflowSidekiqRabbitMQKubernetesHelm
Industry Keywords
B2B SaaSSRE PracticesDevOps PracticesVertical-SaaSConstructionAEC
Tech Stack
Tools & technologiesAWSGoogle Cloud PlatformKubernetesPostgresPythonRabbitMQRuby on Rails
About the role
Key responsibilities & impact- Own features and services end to end across the Rails product app, Python ML/CV services, agent SDK layer, and data platform
- Improve scalability, reliability, and cost efficiency of computer vision, LLM, and VLM inference pipelines
- Build and improve model infrastructure, including vision model integration, LLM orchestration, agent workflows, MLflow registry, and evaluation harnesses
- Contribute to architectural decisions and write design documentation
- Raise engineering quality through thoughtful code review
- Share knowledge and mentor teammates
- Partner with product and engineering teammates to scope work and evaluate build-versus-buy decisions
- Turn customer needs into reliable software
- Write and ship production code regularly
- Troubleshoot issues and participate in incident response
Requirements
What you’ll need- 3+ years of experience building production software
- Strong experience in Rails or Python applications, production computer vision pipelines, LLM/agent systems, or data-intensive B2B SaaS
- Hands-on experience with AWS and/or GCP
- PostgreSQL experience
- Experience with background job or messaging systems such as Sidekiq or RabbitMQ
- Familiarity with modern deployment practices
- Experience owning features or services from technical design through deployment and ongoing operation
- Strong coding, debugging, and code review skills
- Recent experience shipping production code
- Familiarity with SRE and DevOps practices such as CI/CD, Kubernetes, or Helm
- Ability to collaborate with dedicated SRE teammates
- Authorization to work lawfully in the United States is requested in the application
- Bonus: construction, AEC, or vertical-SaaS experience; or experience helping a product scale at a growing startup
Benefits
Comp & perks- Equity
- Potential discretionary bonuses
- Potential sales incentives
- Equal employment opportunity protections
