Who We Are

At MAS Global Consulting, we are a premium digital engineering partner trusted by innovative startups and Fortune 100 companies, delivering high-impact solutions through agile delivery, deep technical expertise, and a strong people-first culture across the Americas. We build long-term partnerships, not just software. MAS means “more” in Spanish, and that mindset drives our commitment to greater opportunity, inclusion, and impact.

Founded by a Latina engineer from Medellín and headquartered in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US.

About the role

We are looking for a Software Engineer to design and build a next-generation reliability platform for production systems at a leading US fintech. You will blend distributed systems engineering with AI-assisted development to give engineering teams a single place to understand, debug, and improve the health of their services.

This is a hands-on, highly creative role for someone who loves rapidly iterating and shipping with strong intuition, while holding a very high bar for reliability, quality, and maintainability. The best fit is an engineer who can take an ambiguous problem, independently shape it into a working solution, and use AI tools to move at a speed that would be impossible otherwise.

What you will build

• A centralized reliability command center giving teams unified visibility into system health, risk, and reliability across services and environments.

• AI agents that assist with incident triage, root-cause exploration, log and trace summarization, and recommended next actions.

• Developer-facing features and APIs that help engineers explore data, debug issues, and make better decisions.

• End-to-end ownership of projects: requirements, architecture, implementation, testing, rollout, and iteration based on feedback.

What you bring

• 7+ years of core backend or full-stack product engineering, with a track record of building and operating complex production systems. Background must be in product engineering, not primarily ML, data engineering, DevOps, or infrastructure.

• Strong CS fundamentals: data structures, algorithms, system design, state management, edge case reasoning, and validation discipline. You will be asked to demonstrate these live.

• Strong Python proficiency, with experience architecting data-intensive applications and robust APIs.

• Product sense and problem-solving judgment: you care about the what and the why, not just the how. You can take ambiguous requirements and rapidly iterate toward a working solution independently, without hand-holding.

• Active, daily use of agentic development tools, Cursor, Claude Code, or equivalent, as your primary development workflow right now, on a live project. Not occasional use. Not past use. Current, continuous, hands-on experience in the last 2-3 months specifically.

• Demonstrated ability to guide LLMs effectively: you know how to break down problems, steer the tools, catch mistakes, identify edge cases, and critically review generated output. You produce high-quality code, not AI slop.

• A concrete example of delivering a full end-to-end feature in a fraction of the time it would take without AI-assisted development.

What will set you apart

• You have used Claude Code or Cursor to ship a complete, production-grade feature end-to-end , not just snippets or tests, but the full thing.

• You have built or worked on reliability, observability, or developer tooling platforms.

• You have experience with multi-agent systems, LangGraph, LangChain, or similar orchestration frameworks.

• You have worked in fintech or other regulated environments.

• You are based in Colombia and available to work in US Eastern or Central time zones.

The bar

For context on what strong looks like in this role: given a problem like building a tax calculator, a strong candidate takes the ambiguous requirement, designs the input flow, implements the calculation logic including edge cases, adds validation, writes tests, and ships a working interface, in a couple of hours using AI tools. That speed and judgment is what we are hiring for. For the same task, some engineers may take seven days to get to a working, polished solution. Stronger agentic developers can get there in a couple of hours because they know how to break down the problem, steer the tools, and maintain quality throughout. This speed gap is the real filter.

Nice to have

• Experience with model fine-tuning techniques (LoRA, QLoRA, PEFT, or full fine-tuning).

• Cloud or ML-related certifications.

• Track record of leading technical initiatives and influencing technical direction across teams.

• Prior experience working directly with product teams in a consulting or embedded engineering capacity.