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DATAGROUPProvide on-site workplace and meeting-room IT support for DATAGROUP customers. Install, repair, and maintain PCs, network equipment, telecommunications, and specialist devices.
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Senior Backend Software Engineer III
Senior backend engineer role focused on scaling distributed systems and AI capabilities at Hiver’s customer service platform. Build reliable APIs, model-serving pipelines, and collaborative support features.
विवरण
- Scale backend platforms for rapidly increasing traffic and AI workloads
- Develop low-latency inference and retrieval APIs, caching systems, and model-serving pipelines
- Strengthen reliability, resilience, and performance across monolithic and microservices architectures
- Use Kafka and RabbitMQ to create high-throughput, event-driven data pipelines
- Work with ML and AI teams to deploy embeddings, rerankers, RAG solutions, and evaluation processes
- Deliver features across backend APIs, domain models, and data pipelines from design through release
- Embed AI recommendations, copilots, and retrieval-based workflows into the product
- Partner with product and design teams to create consumer-grade user experiences
- Build secure, compliant workflows for structured and unstructured customer data
- Own observability through tracing, metrics, dashboards, feature flags, and SLOs
- Lead investigation of complex problems spanning frontend, backend, infrastructure, and model pipelines
- Run postmortems, identify root causes, and implement improvements to engineering processes
आवश्यकताएँ
- At least five years of experience building and scaling production systems end to end
- Strong backend development experience with Go, Java, Python, or Ruby on Rails
- Thorough knowledge of distributed systems, concurrency, performance optimization, and resilience
- Experience with SQL and familiarity with NoSQL databases and caching systems
- Exposure to production model serving, including embeddings and inference APIs
- Strong cloud infrastructure fundamentals, preferably with AWS
- Experience working with containers and CI/CD pipelines
- Experience delivering AI systems or features to production is an advantage
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