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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical architecture for Rails and Python applications, with a strong focus on scalability, reliability, and cost management in machine learning and computer vision systems. Proven ability to lead architectural decisions and mentor engineering teams while collaborating with executive leadership on strategic technical roadmaps.
Highest-signal resume keywords
Technical Architecture OwnershipProduction Software DevelopmentAWS and/or GCP FluencyPostgreSQL at ScaleArchitectural Decision Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
RailsPythonComputer VisionLLM SystemsData-Intensive B2B SaaSProduction Code WritingArchitectural ReviewsIncident ResponseBackground Job SystemsModern Deployment Practices
Soft Skills
MentoringCollaborationProblem Solving
Tools & Technologies
AWSGCPPostgreSQLRabbitMQSidekiqKubernetesHelmCI/CD
Industry Keywords
SREDevOpsVertical-SaaSAECConstruction
Tech Stack
Tools & technologiesAWSGoogle Cloud PlatformKubernetesPostgresPythonRabbitMQRuby on Rails
About the role
Key responsibilities & impact- Own end-to-end technical architecture across the Rails product app, Python ML/CV services, agent SDK layer, and data platform
- Balance enterprise customer requirements with shipping speed
- Drive scalability, reliability, and cost architecture for computer vision, LLM, and VLM inference pipelines
- Scale blueprint throughput by 100×
- Set technical direction for vision models, LLM orchestration, agent runtime, MLflow registry, evaluation harnesses, and GPU budget
- Lead architectural reviews and raise engineering standards through code reviews and design documents
- Mentor senior engineers on cross-system tradeoffs
- Partner with the CEO and product team on the 12–18 month technical roadmap
- Decide what to build in-house, buy, deprecate, and when to invest in platform versus features
- Write production code, participate in incident response and pull-request reviews, and solve difficult technical problems weekly
Requirements
What you’ll need- 10+ years building production software
- 3+ years as senior staff, principal, architect, or CTO at a product company
- Deep experience with at least two of: large Rails or Python monoliths, computer vision pipelines in production, LLM / agent systems at scale, data-intensive B2B SaaS
- Hands-on fluency with AWS and/or GCP
- PostgreSQL at scale
- Experience with background job systems such as RabbitMQ and Sidekiq
- Modern deployment practices
- Track record of leading architectural decisions that held up under 10×+ growth
- Must have written and shipped production code in the last 6 months
- Familiarity with SRE and DevOps, including Kubernetes, Helm, and CI/CD
- Ability to drive and collaborate with dedicated SRE teammates
- Must be authorized to work lawfully in the United States
- Bonus: construction, AEC, or other vertical-SaaS experience; or experience taking a company from Series A to C technically
Benefits
Comp & perks- Additional compensation may include sales incentives, discretionary bonuses, and/or equity in the company
- Equal-opportunity employment
