Job Description

About the Company: Insight Global is partnering with a leading general financial technology organization focused on cross-border payments and currency exchange solutions. Supporting both businesses and consumers, the company operates at significant scale while maintaining an agile engineering environment where innovation, ownership, and collaboration drive product development. This is an opportunity to help build and modernize critical financial systems that support customers across multiple international markets.

About the Role

About the Role: Insight Global's client is seeking a Senior Backend Software Engineer to play a key role in designing, building, and enhancing the next generation of its payments platform. This individual will contribute across the full software development lifecycle, from architecture and system design through production deployment and operational support. The role offers the opportunity to work closely with product, compliance, operations, and engineering leaders while developing highly scalable backend services that support payment processing, settlement, onboarding, and financial transactions. The ideal candidate is a technically strong engineer who enjoys solving complex problems, driving modernization efforts, mentoring others, and taking ownership of systems in production.

Responsibilities

- Design, develop, and maintain scalable backend services supporting financial transactions and payment platform functionality.
- Build and enhance systems related to onboarding, payments, settlement, foreign exchange, and business-critical financial operations.
- Collaborate with product, compliance, and operational teams to deliver new capabilities from concept through deployment.
- Develop and maintain integrations with external partners and third‑party platforms.
- Drive service reliability, monitoring, observability, incident response, and production readiness within assigned domains.
- Participate in architecture discussions, technical planning, and design reviews.
- Provide mentorship and technical guidance to mid‑level engineers.
- Contribute to modernization initiatives involving cloud infrastructure, service‑oriented architecture, and platform transformation efforts.
- Leverage AI‑assisted development tools throughout the software development lifecycle to improve productivity and code quality.

Skills and Requirements

- 6+ years of backend software engineering experience.
- Strong experience with C#/.NET or another OOP language (Java, Go, etc.) and willingness to work in a .NET environment.
- Experience building and supporting production‑scale backend systems.
- Payments, fintech, FX, or money movement experience.
- Microservices, event‑driven architecture, and system design experience.
- Cloud experience required; AWS preferred.
- Daily use of AI development tools such as Copilot, Cursor, Claude Code, or similar.
- Product‑focused mindset with strong communication skills.
- Ability to thrive in a fast‑paced, ambiguous environment.
- Experience with AWS services such as SQS, Lambda, ECS, DynamoDB, and S3.
- Experience with distributed systems and high‑volume transaction processing.
- Experience leading technical design discussions and mentoring engineers.
- Experience with CI/CD pipelines and modern deployment practices.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.



If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

Forward Deployed Engineer, Generative AI, Google Cloud (Spanish, English)
Share Forward Deployed Engineer, Generative AI, Google Cloud (Spanish, English)
_corporate_fare_ Google _place_ Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico; +4 more; +3 more
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Forward Deployed Engineer, Generative AI, Google Cloud (Spanish, English)
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XIn most instances, this position requires in‑person interviews as part of the hiring process.
Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico; Buenos Aires, Argentina; Santiago, Chile; Lima, Peru** .
**Minimum qualifications:**
+ Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
+ 5 years of experience with software development using Python or similar coding languages.
+ Experience taking production‑grade AI‑driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
+ Experience building pipelines for structured and unstructured data using both vector databases and RAG‑like architectures to power enterprise AI solutions.
+ Experience writing code for machine learning, natural language processing, and generative AI agents.
+ Ability to communicate in Spanish and English fluently to support client relationship management in this region.
**Preferred qualifications:**
+ Master's degree or PhD in AI, Computer Science, or a related technical field.
+ Experience implementing multi‑agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self‑reflection, hierarchical delegation).
+ Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
**About the job**
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production‑grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high‑level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. Your role is designed for high‑agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state‑management challenges that prevent AI from reaching enterprise‑grade maturity, by embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real‑world field insights into Google Cloud's future product roadmap.
It's an exciting time to join Google Cloud's Go‑To‑Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale.



We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
**Responsibilities**
+ Serve as a developer for complex AI applications, transitioning from rapid prototypes to production‑grade agentic workflows (e.g., multi‑agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
+ Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
+ Build high‑performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
+ Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
+ Collaborate with technical sales teams to instill Google‑grade development best practices, ensuring long‑term project success and high end‑user adoption.
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If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

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