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.

Who You Are

You’re a Senior Backend Software Engineer with strong experience building high-scale backend systems using Python and/or Kotlin. You enjoy writing large volumes of high-quality code, designing clean APIs and data models, and working on systems where performance and correctness are critical.

You’re comfortable collaborating cross-functionally, operating in ambiguity, and breaking down complex problems into executable plans while clearly communicating risks and trade-offs.

What You’ll Do

• Write a high volume of production-quality backend code using Python and/or Kotlin to support fraud decisioning and risk mitigation systems.
• Design and implement services, APIs, and data models that power real-time fraud decisions across user and transaction flows.
• Extend and evolve core decisioning services, including rules engines, signal ingestion, and evaluation pipelines.
• Collaborate cross-functionally with Product, Analytics, Risk, and other engineering teams to execute fraud and risk strategy.
• Build systems operating within service-oriented and event-driven architectures with strict performance and reliability requirements.

What You Bring

• 6+ years of experience as a Senior Backend Software Engineer, using Python and/or Kotlin.
• Experience with AWS or other cloud providers.
• Strong understanding of relational databases and data modeling best practices.
• Strong understanding of distributed systems, including trade-offs impacting latency, correctness, scalability, and operability.
• Excellent written and verbal communication skills, with comfort operating asynchronously through tech specs, design docs, wikis, and project plans.
• Strong project execution skills, including the ability to break down ambiguous problems and surface risks and trade-offs early.
• English proficiency at B2+ level or higher.

Nice to Have

• Experience building or operating decisioning, rules-based, or risk-related systems, such as fraud, credit, payments, identity, or trust and safety platforms.