Senior Backend Engineer (Go / Golang)
Nexaminds
| Company | Nexaminds |
| Category | Engineering |
| Location | Mexico |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 25 Jun 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Unlock Your Future with Nexaminds!
At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.
Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:2093ca9d-d6bb-4dac-9795-2b28cd5013d9-1" data-testid="conversation-turn-4" data-scroll-anchor="true" data-turn="assistant">
Nexaminds is looking for a Senior Backend Engineer to join a high-impact engineering team focused on building scalable backend systems, APIs, and data-driven solutions. This role combines strong backend engineering expertise with modern cloud, data, and AI-enabled architectures, including agentic workflows and API platform development.
Location: MEXICO
Eligibility Notice: This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered.
Qualifications we are looking for:
Strong backend engineering experience with a primary expertise in Go (Golang).
Proven, hands-on experience building agentic solutions and working deeply with agentic tooling and frameworks.
Strong experience with API platforms (REST APIs, SDKs, HTTP, OAuth2/OIDC, and OpenAPI 3.0.)
Experience with microservices, PaaS, high availability cloud environments (Azure and/or GCP), and Rancher/Kubernetes.
Experience with data platforms/warehouses (e.g., Databricks).
Deep familiarity with agentic and AI-enabled API patterns, including RAG, autonomous agents, and model orchestration.
Exposure to Model Context Protocol (MCP) , Agent2Agent (A2A) , Agent2Payments (A2P) , and Universal Commerce Protocol (UCP / UCP.dev).
Strong engineering practices: agile methodologies, DevOps best practices, test-driven development, CI/CD build & deploy systems, and modern code repositories.
Strong communication skills and the ability to collaborate proactively across infrastructure and engineering teams..
Job duties:
Design, build, integrate, test, deploy, and support scalable APIs using our API Platform, API Style Guide, and underlying infrastructure, primarily leveraging Go (Golang) as our core language.
Architect and implement production-ready agentic solutions, utilizing advanced agentic tooling and autonomous workflows.
Partner with business stakeholders and clients to translate business needs into clear technical requirements and high-quality API solutions.
Collaborate with product managers, engineers, data scientists, and security to evaluate requirements, conduct feasibility assessments, analyze existing components, and develop integration plans.
Employ an iterative approach to capability development that incorporates requirements refinement, user feedback, lessons learned, and other inputs.
Create level-of-effort estimates, define task breakdowns, and drive delivery across milestones.
Build strong partnerships across application, business, and infrastructure teams to ensure solutions are scalable and operationally sound.
Create and maintain partner enablement assets, such as API guides and packages (e.g., Postman collections) for new feature launches.
Create, update, and maintain external API documentation on our developer site.
Apply an operational mindset, including SLOs, incident response readiness, cost/performance optimization, and se