Role Description Join as a Backend Engineer and help rebuild payments for the >$1tn distribution industry. You’ll architect and build the systems that process millions of dollars in transactions daily, integrate with complex ERP systems, and leverage cutting-edge LLM technology to transform how distributors manage their revenue cycles. You’ll join a small team of A+ players where everyone acts as an individual contributor while actively supporting each other through pair programming and collaborative problem-solving. You’ll work closely with our founder-led team who previously operated a distribution business and understand the real-world problems we’re solving. Who Thrives Here - AI-Native: You already use Cursor, Claude, GitHub Copilot, or similar every single day. You treat AI as a pair programmer, not a toy or a threat. - Product-minded: You obsess over the “why” behind features, dig into customer data (or talk to customers), and measure success in revenue and user love — not story points. - Ownership > tasks: You hate being blocked. When something is unclear or broken, you prototype, reach out directly, pair, or just ship a pragmatic solution. - Builder mentality: Strong opinions, weakly held. You default to shipping the simplest thing that works (often with AI help), then iterate fast. What You’ll Own - High-volume payment processing systems and secure financial APIs - Deep integrations with major ERPs (NetSuite, Sage, Acumatica, etc.) - LLM-powered workflows (credit decisions, remittance matching, automated comms) - Real-time data pipelines handling millions of financial records - AR / collections automation that directly impacts customer cash flow Qualifications - 4+ years of backend experience with strong system design chops - Expert-level Ruby on Rails (Rails 7+, Ruby 3+) — our core backend is modern Rails and you’ll own huge parts of it from day one → Exceptional candidates with deep experience in Django, Laravel, Spring Boot, or similar who are excited to go all-in on Rails will be considered - Advanced PostgreSQL (query optimization, large datasets, logical replication, etc.) - Proven ability to design clean, versioned REST/JSON APIs - Experience shipping and operating ETL/background-job heavy systems in production Bonus Points - Built or maintained third-party integrations with enterprise software - Real fintech, payments, or billing experience (Stripe, ACH, lockbox, etc.) - Hands-on LLM integration or prompt engineering (bonus if you’ve shipped it to production) - Previously worked at a Series A–C startup and loved the chaos Tech Stack - Backend: Rails 7+, PostgreSQL, Sidekiq, Redis - Infra: AWS, Docker, Terraform, CI/CD - AI: OpenAI / Anthropic APIs, vector DBs, Cursor/Claude daily - Security: Bank-grade encryption, SOC 2 in progress Engineering Culture True end-to-end ownership — no PMs writing pixel-perfect specs. We pair program (human + AI), ship daily, write tests that matter, and refactor mercilessly. AI tools are first-class citizens here: we expect you to 10× your output with them and help us push the boundaries of what’s possible in fintech automation. Benefits - 🌴 Flexible paid time off so you can recharge. - 🏋️ Up to $100/mo wellness reimbursements. - 📈 A competitive stock option grant, so you have skin in the game. - ⚕️ Medical, dental, and vision insurance, with 100% of premiums paid by us. - 📍 Quarterly team gatherings for periodic in-person collaborative strategy and work sessions. - 👫 A passionate, supportive team dedicated to learning and growing together.

Role Description NTT DATA is looking for high-achieving team players that are quickly adaptable to new challenges and entrepreneurial ventures. We are looking for a Lead Architect AI to work remotely from México with our global client. - Design and implement AI-enabled software development frameworks, integrating Spec-Driven Development (SDD) across the entire software lifecycle - Integrate AI capabilities into development platforms (e.g., GitHub) for automated code generation, testing, and integration workflows - Lead the design and implementation of solutions based on Spec-Driven Development - Drive adoption of AI-based practices across projects, ensuring alignment with architectural standards and maximizing efficiency - Collaborate with development teams to ensure technical alignment - Implement and promote the use of tools such as OpenSpec or similar - Design scalable and resilient cloud-native architectures - Oversee DevOps practices, CI/CD pipelines, and automation - Provide technical mentorship to developers and engineers Qualifications - Strong experience in Spec-Driven Development or similar approaches - Experience with OpenSpec or equivalent tools - Practical knowledge of GitHub Copilot - Software development background (hands-on coding) - Knowledge of cloud-native architectures: - Microservices - Containerization - Kubernetes or similar orchestration platforms - CI/CD and DevOps - Immutable infrastructure Requirements - Preferred: Cloud Architecture certifications (AWS, Azure, GCP) - Preferred: AI / Machine Learning-related certifications Benefits - Empowerment and rewards are the cornerstone of our career development model. - Professional experience and growth will be unmatched. - Our talent and positive attitude allows us to transform our goals into achievements, and projects into realities.

• Engage with organizations at various stages of KMP adoption within existing projects. • Support teams through migration, integration, and scaling of shared codebases. • Help teams overcome technical blockers and successfully move from experimentation to production use. • Proactively engage with prospective users who may benefit from KMP. • Understand customer use cases, technical constraints, and adoption challenges. • Provide practical guidance on feasibility, architecture decisions, and adoption strategies. • Gather structured feedback, insights, and pain points from customers. • Collaborate with product and engineering teams to influence the KMP roadmap and tooling improvements.

• Track and maintain visibility into organizations and their stage of Kotlin adoption (e.g., not started, evaluating, experimenting, production) • Proactively engage with organizations across different phases of their Kotlin adoption journey • Develop and recommend high-level adoption strategies tailored to each organization’s context • Identify and document blockers that hinder progress and propose ways to address them • Establish and manage feedback loops with development teams to ensure continuous alignment and improvement