Senior Backend Engineer (Java) — IoT Remote Monitoring & Energy Management System
TypeFull-time job
LocationMunich, Germany
Posted3 hours ago
Senior Backend Engineer (Java) — IoT Remote Monitoring & Energy Management System
Location: Germany · Munich
Employment Type: Full-time
About the Team
We are building an IoT remote monitoring and Energy Management System (EMS) for the European market, covering data ingestion, monitoring & alerting, and energy scheduling/optimization for PV and storage assets. Our stack is modern, our market is Europe (GDPR, Data Act compliance), and we are exploring AI-powered assistants as a new direction. You will take deep ownership of core system design and evolution, with a clear growth path toward System Engineering (solution design) or full-stack development.
Responsibilities
Design and develop backend services for IoT remote monitoring and EMS: device data ingestion, time-series processing, alerting, reporting, and control-command flows.
Build, test, and ship modules on our stack: Java 21 / Spring Boot / MyBatis-Plus / MySQL / Redis / Kafka / ClickHouse / Quartz / S3-MinIO.
Own system-solution work: analyze requirements, produce database designs, API designs, and third-party integration proposals; lead or join technical design reviews.
Integrate with third-party systems and data exchanges (REST / SFTP / object storage) with security and reliability.
Support production operations: monitoring & alerting, performance optimization, troubleshooting and root-cause analysis.
Collaborate with product, frontend, and compliance teams to embed GDPR / Data Act requirements into system design.
Explore and deliver AI-powered features (e.g., AI Q&A assistant).
Requirements (Must-have)
Bachelor's degree or above in Computer Science or related field; 6+ years of Java backend development experience.
Strong command of Java / Spring Boot; solid experience designing and delivering microservice architectures.
Proficient with MyBatis-Plus and MySQL/MariaDB; strong SQL tuning and schema design skills.
Proficient with Redis (cache architecture, distributed locks, cache-consistency strategies).
Familiar with Kafka or equivalent messaging systems (RocketMQ etc.), with a solid grasp of delivery semantics (no loss, no duplication, backlog handling).
Hands-on experience with ClickHouse or other analytical engines (Doris / StarRocks / time-series databases).
Familiar with Linux, job scheduling (Quartz / XXL-Job), SFTP/SSH integration, and S3/MinIO object storage.
Meet at least one of the following:
SE track: able to independently produce system/solution design documents; have led the design and delivery of medium-to-large modules or systems.
Full-stack track: hands-on delivery experience with React / Vue frontend, with the willingness and potential to grow into a full-stack engineer.
Professional working proficiency in English (fluent reading/writing; spoken English sufficient for cross-border collaboration).
Nice to Have
Domain experience in PV / energy storage / power / energy industry, or IoT platforms.
Familiarity with European data regulations (GDPR, Data Act) and compliance-driven design.
Experience with Spring AI / LLM applications (RAG, agents, tool calling).
Docker / Kubernetes; cloud experience on Azure or AWS.
German language skills (B1 or above).
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Location: Germany · Munich
Employment Type: Full-time
About the Team
We are building an IoT remote monitoring and Energy Management System (EMS) for the European market, covering data ingestion, monitoring & alerting, and energy scheduling/optimization for PV and storage assets. Our stack is modern, our market is Europe (GDPR, Data Act compliance), and we are exploring AI-powered assistants as a new direction. You will take deep ownership of core system design and evolution, with a clear growth path toward System Engineering (solution design) or full-stack development.
Responsibilities
Design and develop backend services for IoT remote monitoring and EMS: device data ingestion, time-series processing, alerting, reporting, and control-command flows.
Build, test, and ship modules on our stack: Java 21 / Spring Boot / MyBatis-Plus / MySQL / Redis / Kafka / ClickHouse / Quartz / S3-MinIO.
Own system-solution work: analyze requirements, produce database designs, API designs, and third-party integration proposals; lead or join technical design reviews.
Integrate with third-party systems and data exchanges (REST / SFTP / object storage) with security and reliability.
Support production operations: monitoring & alerting, performance optimization, troubleshooting and root-cause analysis.
Collaborate with product, frontend, and compliance teams to embed GDPR / Data Act requirements into system design.
Explore and deliver AI-powered features (e.g., AI Q&A assistant).
Requirements (Must-have)
Bachelor's degree or above in Computer Science or related field; 6+ years of Java backend development experience.
Strong command of Java / Spring Boot; solid experience designing and delivering microservice architectures.
Proficient with MyBatis-Plus and MySQL/MariaDB; strong SQL tuning and schema design skills.
Proficient with Redis (cache architecture, distributed locks, cache-consistency strategies).
Familiar with Kafka or equivalent messaging systems (RocketMQ etc.), with a solid grasp of delivery semantics (no loss, no duplication, backlog handling).
Hands-on experience with ClickHouse or other analytical engines (Doris / StarRocks / time-series databases).
Familiar with Linux, job scheduling (Quartz / XXL-Job), SFTP/SSH integration, and S3/MinIO object storage.
Meet at least one of the following:
SE track: able to independently produce system/solution design documents; have led the design and delivery of medium-to-large modules or systems.
Full-stack track: hands-on delivery experience with React / Vue frontend, with the willingness and potential to grow into a full-stack engineer.
Professional working proficiency in English (fluent reading/writing; spoken English sufficient for cross-border collaboration).
Nice to Have
Domain experience in PV / energy storage / power / energy industry, or IoT platforms.
Familiarity with European data regulations (GDPR, Data Act) and compliance-driven design.
Experience with Spring AI / LLM applications (RAG, agents, tool calling).
Docker / Kubernetes; cloud experience on Azure or AWS.
German language skills (B1 or above).
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