Job Description

Location:
Remote within Europe, with occasional travel to customer sites as needed.
About Us:
C-Serv is on the cutting edge of technology, harnessing the power of Big Data and Generative AI to deliver innovative solutions. We are a passionate team of engineers dedicated to transforming how data is utilized across industries.
The opportunity:
As a Senior Software Engineer specializing in Big Data and Generative AI, you will be at the forefront of designing and implementing large-scale data solutions. Your insights and creativity will help shape next-generation applications that leverage the latest advancements in AI technology. This role requires a combination of software development skills and a keen understanding of data structures and algorithms, ensuring robust and scalable systems. If you're excited about building impactful solutions and driving innovation in the data space, we want to hear from you!
Requirements
Job Responsibilities
Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability
Own end-to-end delivery of key features and services across the full SDLC--design, implementation, testing, deployment, and operations
Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems
Build and optimize scalable, real-time analytic systems powering AI Agents
Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices
Collaborate across teams to ensure solutions are resilient, secure, and high-performing
Requirements
Degree in Computer Science, Mathematics, or a related field
8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations)
5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming)
Experience with sensitive or streaming data pipelines, including governance and compliance requirements
Experience with Graph technologies (e.g., GNNs)
Preferred Qualifications
MS in Computer Science, Machine Learning, or a related discipline
Experience with Graph ML and Graph technologies (e.g., GNNs)
Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production

Skills Required