Nexaminds

Senior Backend Engineer (Go / Golang)

Canada · Senior

Sponsorship not specifiedDetected 1 day ago

GoDatabricksGCPAzureCloud PlatformsCI/CDDevOpsRESTOAuthOpenAPIRAGIncident ResponseAgilePostmanCommunicationCollaborationMentoring

About the role

We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices.
We're all about creating a friendly and trusting environment where you can thrive.
You'll be collaborating with some seriously awesome IT pros. - You'll have access to mentorship and tons of opportunities to learn and level up.

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.
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 security-by-design.

Strong backend engineering experience with a primary expertise in Go (Golang).
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).
Proven, hands-on experience building agentic solutions and working deeply with agentic tooling and frameworks.
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).

This listing is sourced directly from Nexaminds's careers page and normalized into a canonical job model.