Senior Software Engineer - Knowledge Base, Czech Republic

Posted about 2 months agoViewed
Czech RepublicFull-TimeSoftware Development
Company:
Location:Czech Republic, EST, PST
Languages:English
Seniority level:Senior, 7+ years
Experience:7+ years
Skills:
AWSBackend DevelopmentSQLCloud ComputingETLJavaJVMKafkaKotlinSoftware ArchitectureNosqlCI/CDRESTful APIsDevOpsMicroservicesProblem SolvingSoftware EngineeringDebugging
Requirements:
7+ years of hands-on development experience with Java. Kotlin or strong interest in Kotlin is a plus. Experience building backend services and working with modern JVM-based systems. Familiarity with AWS cloud services and cloud-native application development. Experience with relational databases, NoSQL stores, and messaging systems (Kafka, SNS/SQS, etc.). Exposure to data pipelines, data ingestion, ETL/ELT, or data delivery systems is highly valued. Understanding of distributed systems fundamentals, service reliability, and performance considerations. Familiarity with AI/LLM-based systems and how backend services interact with them is a plus. Comfortable participating in design discussions. Strong debugging and problem-solving skills. Good communication skills and a collaborative mindset. Bachelor’s/Master’s degree in Computer Science or equivalent experience.
Responsibilities:
Develop high-quality features and improvements in Java/Kotlin. Participate in design discussions and contribute to technical decisions. Help translate requirements into designs and implementation steps. Contribute to proofs-of-concept and prototypes. Evaluate trade-offs between solutions considering simplicity, cost, stability, and performance. Collaborate with the team to break down work, estimate tasks, and deliver incrementally. Collaborate with other engineering teams, product managers, and data teams. Recommend improvements to monitoring, metrics, performance, and reliability of cloud services (AWS preferred). Engage actively in code reviews. Build scalable, resilient backend services within the cloud environment and data pipeline ecosystem. Maintain and extend internal components powering data ingestion, transformation, and delivery flows. Work cross-functionally to ensure smooth integration with other teams and systems. Keep up with industry trends and suggest practical improvements.
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