Backend engineer - Platform & IoT Integration
- Compensation
- Not disclosed
- Location
- ANTWERPEN, Belgium
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Backend
- Posted
Skills
Nice to have
- Experience in the energy sector (IoT platforms, smart metering, renewables, billing/tariff engines).
- Familiarity with monitoring and error-tracking tools (e.g. Sentry) beyond native cloud logging.
- Familiarity with real-time/distributed database migrations.
- A track record of introducing unit-test coverage into existing codebases.
- Exposure to serverless architecture patterns and infrastructure as code (e.g. AWS CDK).
- Experience with event-driven architectures (Kafka, Kinesis, MQTT, etc.).
- Experience applying domain-driven design (DDD) principles in production services.
- Comfortable contributing to release and deployment coordination across multiple environments (INT/ACC/PROD).
- Experience coordinating hardware/software integration projects (embedded + cloud systems).
Full description
We are looking for:
We are looking for an experienced
senior level Backend Engineer - Platform & IoT Integration, who will take ownership of core backend and integration systems across our platform. You combine deep technical skill with a generalist mindset: comfortable moving between application code, cloud infrastructure and device-level integration, and trusted by the team as the person to call when something breaks or a solid architectural decision is needed.
Key responsibilities:
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Own and evolve core backend and billing services end-to-end.
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Design, build and maintain backend services and their AWS deployment pipelines.
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Manage and evolve our timeseries data stack (e.g. QuestDB) that underpins device and energy analytics.
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diagnose and resolve production issues across cloud and device code.
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Support teammates who are blocked on code or infrastructure, and share architectural knowledge across the team.
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Apply solid software design practices (e.g. domain-driven design, microservice patterns) and contribute to version releases across INT/ACC/PROD environments.
Technical skills
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Proven experience building backend services (Node.js/TypeScript or comparable) in production.
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Hands-on experience with AWS (e.g. Lambda, CDK) for deploying and operating cloud-native services.
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Experience with timeseries or high-volume data pipelines (e.g. QuestDB, Timestream, InfluxDB or similar).
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Working knowledge of device/IoT integration and data scraping, or a strong willingness to learn it.
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Solid understanding of microservice, API-driven and domain-driven design (DDD).
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Comfortable using observability tooling (e.g. CloudWatch, Sentry) to diagnose issues in production.
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Comfortable using AI tools to support and accelerate technical work.
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Solid grasp of security requirements for cloud and connected devices, and how to actually implement them (secure-by-design APIs, secrets and key management, least-privilege IAM)
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Awareness of the compliance landscape our platform operates in (GDPR, NIS2, CRA) and able to translate current and upcoming obligations into concrete architectural and release decisions.