gem
Senior Backend Engineer II, Data & Agentic Context Platforms
Fetch
Remote, USA
Full-time
Senior · 8+ years experience
Remote
USD 190409-224011 yearly / year
Discovered 1 weeks ago
GoPythonJavaRustSQLAWS
Free
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Key Skills for This Role
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- Design, build, and operate scalable backend services and APIs that ingest, transform, retrieve, and serve context to agents and product applications.
- Own batch and real-time data flows, including event ingestion, transformation, indexing, storage, and low-latency serving.
- Develop reusable capabilities for agent context, including connectors, context assembly, memory and state interfaces, metadata and provenance, authorization-aware retrieval, and evaluation signals.
- Define data models, schemas, and contracts, and implement validation, lineage, freshness checks, and observability as upstream systems evolve.
- Select storage and retrieval patterns across operational databases, data warehouses and lakes, search systems, caches, and graph or vector technologies based on access patterns.
- Establish SLIs and SLOs, monitor latency and correctness, plan capacity, manage costs, and design graceful failure and recovery paths.
- Translate ambiguous context needs into durable platform abstractions and lead technical designs through implementation, rollout, measurement, and adoption.
- Improve engineering velocity through well-designed SDKs, tools, documentation, deployment patterns, and paved paths.
- Mentor engineers and raise the bar for backend architecture, data quality, operational excellence, and the responsible use of context.
- 8+ years of professional software engineering experience, including ownership of production backend or distributed systems at meaningful scale.
- Strong programming skills in at least one modern language, such as Go, Python, Java, or Rust, along with proficiency in SQL and data modeling.
- Experience designing and operating APIs, asynchronous workflows, and data-intensive systems with demanding reliability, scalability, latency, and data-quality requirements.
- Experience with modern data infrastructure, including streaming or messaging systems, batch processing, operational databases, and cloud-based data platforms.
- Sound technical judgment regarding data consistency, schema evolution, privacy and access control, failure handling, performance, and cost.
- Experience with AWS, Infrastructure as Code tools such as Terraform or CloudFormation, CI/CD, and modern software delivery practices.
- Ability to lead ambiguous technical problems from architecture through adoption, delivering incrementally and improving systems based on evidence.
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