Recare logo
Recare

Recare connects over 700 hospitals with more than 17.000 care and rehabilitation providers.

Senior AI Data Platform Engineer

Platform EngineerPlatform EngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Germany

Posted

22 days ago

Salary

0

Seniority

Senior

Bachelor DegreeGermanEnglishAWSCloud

Job Description

Senior AI Data Platform Engineer

Recare

• Own and iteratively develop the data backbone that powers Recare’s AI products • Ensure that data ingestion, processing, and delivery are reliable, secure, and production-ready • Design, implement, and operate asynchronous processing systems for heavy AI workloads • Define and maintain API contracts and data schemas across producers and consumers • Own data lifecycle primitives including secure storage, sensitive data handling, and retention and deletion semantics • Develop secure service-to-service authentication for cross-system synchronization

Job Requirements

  • Strong foundation in software engineering and high standards for design, testing, code quality, and operations
  • Deep familiarity with modern AI-native engineering practices
  • Extensive experience building production-ready data and ingestion systems under real-world reliability constraints
  • Hands-on experience with asynchronous processing systems (queues, workers)
  • Experience with AWS and cloud-native architectures, including IAM and encryption
  • Ability to think in systems and trade-offs and to proactively design for observability, reliability, and performance
  • Comfortable taking on ambiguous problems and resolving them in collaboration with stakeholders

Benefits

  • Flexible working with flexible hours
  • Workation possible
  • Edenred benefit card for personal use
  • Additional day off for your birthday

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What Will Give You a Competitive Edge (Preferred Qualifications) - Experience building platforms, tooling, or services that manage physical hardware as allocatable resources (IaaS, lab automation, test infrastructure, fleet management). - Background in automotive software development, ECU integration, or hardware-in-the-loop testing environments. - Hands-on experience with automotive communication protocols such as CAN, LIN, DoIP, or UDS in a development or integration context. - Experience with embedded Linux distributions (Yocto, Buildroot), device trees, or kernel-level configuration for hardware bring-up. - Familiarity with HashiCorp stack (Nomad, Consul, Vault) for orchestration, service discovery, and secrets management. - Experience developing Nomad device plugins or similar resource abstraction mechanisms for orchestration platforms. - Understanding of firmware update mechanisms (OTA, flashing tools) and hardware provisioning workflows. - Experience with observability stacks including Prometheus, Grafana, Datadog, distributed tracing, and structured logging. - Background in lab automation, hardware validation, or test infrastructure engineering. - Experience migrating from legacy infrastructure to modern platforms whilst maintaining service reliability and business continuity. - Track record of mentoring engineers and influencing technical direction across teams. Additional Data: This job may be eligible for relocation benefits. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role is 160,200 to 263,700. 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