Senior Software Engineer

🕒 Junho 3

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EarnIn

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2013

💼 Consultoria

💳 Fintech

☁️ SaaS

💰 $125.000.000 Series C em 2018-12

Consulting • Fintech • SaaS

A EarnIn é uma empresa de tecnologia financeira que oferece soluções inovadoras para acessar seus ganhos de forma mais rápida, sem a necessidade de altas taxas ou verificação de crédito. A empresa fornece serviços como o Cash Out, onde os usuários podem transferir até $150/dia ou $750/por período de pagamento para uma conta bancária vinculada, e o Early Pay, que permite que os usuários recebam seu salário até dois dias antes. O Balance Shield ajuda a evitar taxas de descoberto com notificações em tempo real e transferências automáticas opcionais, enquanto o Credit Monitoring oferece acesso gratuito ao Vantage Score 3. 0 dos usuários pela Experian. Além disso, o recurso Tip Yourself incentiva a economizar a cada pagamento. A EarnIn opera em um modelo que se baseia em gorjetas opcionais em vez de taxas obrigatórias, ajudando os usuários a gerenciar suas finanças com facilidade e segurança. Serviços bancários são fornecidos em conjunto com o Evolve Bank & Trust, Membro FDIC.

Descrição

• Draw on firsthand experience with the friction, toil, and frustrations that slow engineering teams down and use that empathy to build tools and automation that actually solve the right problems. • Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and raise the quality bar for software delivery. • Use the latest AI capabilities LLM APIs, agentic workflows, MCP patterns, and AI-assisted development environments to fundamentally rethink what a high-productivity engineering team looks like. • Architect and operate multi-step agentic systems with well-defined inputs, outputs, validation checkpoints, and human-in-the-loop guardrails that run reliably at scale. • Embed AI-assisted capabilities into CI/CD pipelines and GitHub Actions workflows to improve build reliability, code quality feedback loops, and developer toil reduction. • Guide and advise product engineering teams on best practices for building observable, scalable systems acting as a force multiplier across the org, not just within DevX. • Partner directly with engineering teams to identify high-friction workflows, translate them into structured AI-assisted automation, and measure impact against defined success metrics. • Instrument AI-powered features with end-to-end logging, monitoring, evaluation, and their lifecycle from pilot through iteration or retirement. • Document patterns, usage guidance, and best practices so proven workflows can be consistently adopted and extended across the org.

🎯 Requisitos

• 4+ years of professional software engineering experience, including 3+ years building infrastructure or internal tooling for developer teams; fluency in Python or Go. • Firsthand experience with the tools, workflows, and pain points of software engineering teams; you've felt the friction yourself and know how to fix it. • Hands-on experience building and deploying agentic or LLM-powered systems in production, including practical familiarity with MCP patterns, tool-augmented workflows, or multi-step agent architectures. • Some experience integrating with LLM APIs (Anthropic Claude, OpenAI, or equivalent) and an understanding of tradeoffs around context management, latency, cost, and safety. • Experience with GitHub Actions or similar CI/CD platforms, including building custom workflows, reusable actions, or automation that operates on code or pull requests. • Daily use of AI-assisted development tools (Cursor, Claude Code, Copilot, or equivalent); treat these as core to how you work, not a nice-to-have. • Ability to define meaningful metrics for AI-assisted tooling and run time-bound experiments to validate impact. • Clear written and verbal communication skills, comfortable advising and influencing partner engineering teams in a distributed environment. • Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)

🏖️ Benefícios

• healthcare • internet and cell phone reimbursement • learning and development stipend • potential opportunities to travel to our Mountain View headquarters