Senior Application Platform Engineer

5000 - 5400 EUR/ mies./ mies.B2BB2B (netto)

SeniorZdalnieFull-time·B2B

#472371·Dodano 2 dni temu·7

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Node.js ReactSDKAWS LambdaAWS Kubernetes Terraform

Podsumowanie oferty

Own the SDK and build applications for an enterprise application platform where business users run governed applications from a single workspace. You will work in a small product engineering team, building and designing applications and platform services, including AI-native applications.

Wymagania

5 or more years building and operating production software, including experience in a startup or small product team where you owned delivery end to end.
Experience designing and shipping a library, SDK, platform service, or internal developer platform used by other developers, and living with the consequences of your API decisions.
Full-stack delivery experience across modern frontend, backend services, and data stores.
Production cloud experience; AWS is preferred, along with serverless and container workloads, infrastructure as code, and CI/CD.
Experience with identity and multi-tenancy, including OIDC, session context propagation, tenant isolation, and row-level scoping.
Practical FinOps experience controlling costs for a live cloud or AI workload using budgets, quotas, alarms, and cost reporting.
Security experience including secrets handling, untrusted input and generated code, and the common web attack surface.
Daily use of coding agents across the SDLC to build, test, review, and document; experience building AI into products and explaining where agents failed.
Experience with MCP servers and tools, managed LLM services, and LLM application patterns such as prompt design, model selection by cost, sandboxing generated code, and evaluating AI output quality.
Background with integration platforms, iPaaS, Salesforce, SAP, Jira, or Grafana.
Hands-on work within a SOC 2 or ISO 27001 scope.
English at working level for a distributed team.

Obowiązki

Own the SDK end to end, including its client library surface, platform-side services, packaging, documentation, and a reference application.
Build applications on the SDK; each application the team ships is both a product and proof that the SDK works.
Build governed applications with environment connectivity, single sign-on, identity context passed through to the data layer, health and monitoring, and metered AI with budgets and usage reporting.
Deliver AI-native data applications, operational tools such as task and workflow management, and integrated dashboards over systems such as Jira, Grafana, and Salesforce.
Own production, including deployment pipelines, version stamping, post-deploy smoke tests, automatic rollback, alarms, and cost controls.
Set and enforce the engineering standard, review code, and mentor the second engineer on the team.

Matrix Global Services

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