{"id":3775024,"url":"https://alion.io/job/inviso-backend-platform-engineer-mexico","title":"Backend / Platform Engineer - Mexico","company":{"id":1629327,"name":"Inviso","domain":"inviso.ca","url":"https://alion.io/company/inviso-ca","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-04T22:58:00Z","employer_posted_date":null,"last_verified_at":"2026-11-04T22:58:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Backend / Platform Engineer\n\nInviso is partnering with one of our clients to find an experienced Backend / Platform Engineer to join their team working remotely. Inviso is managing the recruitment and placement process for this opportunity. This is a remote, direct-hire permanent employee position for our client that is a global multi-billion dollar software conglomerate.\n\nThe Backend / Platform Engineer is responsible for designing, building, and operating the core services that power an enterprise AI platform. This role contributes to the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services that product teams and customers depend on.\n\nThe Engineer owns services end to end, from design and implementation through testing, deployment, reliability, and support. The ideal candidate is a strong backend engineer who understands distributed systems, failure modes, clean boundaries, platform APIs, and pragmatic trade-offs.\n\nExperience & Skills Required\n\nExperience building and operating production backend, API, or distributed platform services.\nStrong software engineering skills with experience designing reliable, testable, and maintainable services.\nExperience with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or similar platform capabilities.\nAbility to design APIs and developer experiences for internal and external consumers.\nExperience with multi-tenant systems, tenant isolation, service boundaries, and platform-level enforcement patterns.\nExperience building integration frameworks, connector patterns, governed data access, or reliable data on-ramps.\nStrong understanding of retries, partial failure, consistency, idempotency, back-pressure, and operational failure modes.\nExperience owning services through design, development, testing, deployment, monitoring, and support.\nStrong communication and collaboration skills for client-facing consulting environments.\nPragmatic mindset with the ability to ship meaningful value quickly while maintaining engineering quality.\n\nDesired Qualifications\n\nExperience with C#, Python, Go, or similar backend languages.\nExperience with API gateways, orchestration systems, connector frameworks, event-driven systems, or platform engineering.\nExperience with AI, LLM, RAG, agentic workflows, tool/function calling, MCP, A2A, or AI development lifecycle practices.\nExperience with event-sourced metering, quotas, entitlements, or billing-related platform services.\nExperience building enterprise-scale software used by multiple products, customers, or internal teams.\nExperience using AI-assisted development tools while maintaining strong review, testing, and architecture 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