Senior Software Engineer, Tribe Investments

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Visa

WebsiteLinkedInAll Job Openings

10,000+ employees

💳 Fintech

💸 Finance

🏦 Banking

💰 Post IPO equity on 2016-10

Fintech • Finance • Banking

Visa is a global payments technology company that connects consumers, merchants, financial institutions and governments to enable electronic payments and commerce. It operates a worldwide card network for credit, debit and prepaid payments and provides payment processing, security and fraud-mitigation services, data analytics and value-added products for both consumers and businesses. Visa invests in next-generation payment solutions (including AI-driven commerce), supports financial inclusion initiatives through the Visa Foundation, and offers consumer card benefits and merchant services.

📋 Description

• Design, build, test, and maintain scalable distributed services and data pipelines • Contribute to technical decisions involving system design, reliability, observability, technical debt, and business and regulatory alignment • Use and extend AI-assisted engineering tools, skills, commands, agents, and automations across planning, implementation, testing, review, documentation, and delivery • Apply responsible AI practices while protecting sensitive and regulated data • Improve developer experience by reducing manual effort and contributing reusable tooling, templates, and self-service capabilities • Deliver clean, efficient, secure, testable, and well-documented code with automated tests and quality controls • Collaborate with product, architecture, delivery, and operations partners to translate business and regulatory requirements into technical solutions • Communicate technical solutions, trade-offs, dependencies, and risks to technical and non-technical audiences • Support other engineers through code reviews, pairing, documentation, knowledge sharing, and technical guidance • Stay current with AI, automation, and relevant technologies and apply them to improve squad outcomes • Operate reliable software for Visa's Investments products across the software development lifecycle, including deployment, observability, and production support

🎯 Requirements

• 2 years relevant work experience with a Bachelor's degree; OR 5 years relevant work experience • Strong hands-on experience with Go as the primary programming language • Strong knowledge and hands-on experience designing, building, and operating scalable microservices • Solid understanding of distributed systems and common architectural trade-offs • English proficiency at B1 level or higher (preferred) • Practical experience with Java or other JVM-based languages is highly desirable • Advanced proficiency with version control and collaborative development workflows • Understanding of distributed transactions, idempotency, race conditions, concurrency, and event-driven architectures using message queues, pub/sub, and streaming • Experience with relational and NoSQL datastores, including in-memory and key-value stores • Solid data modeling skills across relational and non-relational stores • Experience with Spark and Databricks, or large datasets and distributed data workflows • Hands-on experience running production workloads on a major cloud provider, including containers and orchestration platforms • Experience with infrastructure as code, modern CI/CD, and GitOps-based deployment practices • Strong debugging and troubleshooting skills across distributed services, integrations, codebases, and production environments • Experience building or extending AI agents, skills, or automations and using AI across the software lifecycle • Experience grounding AI tools through structured prompts, knowledge bases, or retrieval, and validating outputs • Familiarity with MCP, AI evaluation and observability, and responsible AI practices for regulated, sensitive-data environments • Experience improving development lifecycles through tooling, automation, self-service capabilities, templates, shared libraries, and reusable components • Experience conducting code reviews and maintaining unit, integration, performance, and end-to-end tests • Experience contributing to documentation, feature planning, impact analysis, architecture, standards, and engineering best practices • Experience in the financial industry, particularly payments, investments, or other highly regulated, high-scale, mission-critical systems

🏖️ Benefits

• Fully remote work arrangement • Remote positions may be required to be present at a Visa office with scheduled notice • Equal employment opportunity protections

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