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Senior Backend Software Engineer, ML Platforms
В офисеПолная занятостьBackend DevelopmentCybersecurity
Develop production systems that connect machine learning research with enterprise cybersecurity products. You will build scalable backend services, ML workflows, data pipelines, and model lifecycle infrastructure while collaborating with ML scientists, data and infrastructure engineers, and DevOps.
Обязанности
- Translate machine learning research outputs into scalable, low-latency production microservices
- Design end-to-end solutions spanning ingestion, integration, ETL, database design, and backend services
- Build and maintain automated ML workflows for training, benchmarking, testing, performance gating, and deployment
- Optimize API response times, database connectivity, concurrency, and production system performance
- Design and optimize data pipelines connecting Snowflake with model training environments
- Support model lifecycles and performance monitoring across ML infrastructure
- Collaborate with ML scientists and guide software engineering practices
- Monitor production models for performance, cost efficiency, availability, and observability
Требования
- At least 6 years of backend software engineering experience building large-scale, high-throughput production systems
- Strong Python experience, or substantial Java or C# experience with willingness to transition fully to Python
- Strong knowledge of object-oriented programming, package design, microservices, and maintainable code
- Strong database design and SQL skills, including relational or columnar databases, ORMs, and query optimization
- Experience designing robust APIs, handling concurrency, and building fault-tolerant data flows
- Experience with ETL trade-offs and performant system design
Будет плюсом
- Experience productionizing machine learning models or working with data science teams
- Familiarity with Snowflake or other data warehouses and pipeline orchestration
- Experience with Docker, Kubernetes, Kubeflow, MLflow, or KServe
Условия и преимущества
- Attractive total rewards package supporting health and financial well-being
- Inclusive work environment
- Opportunity to support cybersecurity products used by customers worldwide