BACKEND ENGINEER

Svitla Systems, Inc. is seeking a Backend Engineer for a full-time role supporting a global quantum computing technology client. The engineer will design, build, and operate high-performance backend services and distributed data systems, focusing on Go and/or Rust, telemetry ingestion, real-time processing, cloud-native infrastructure, observability, and production reliability.

Responsibilities:

• Design, implement, test, and operate production backend services in Go and/or Rust, writing clean, performant, and well-tested code as a primary daily responsibility
• Build and maintain high-throughput data ingestion pipelines that collect telemetry from large device fleets using protocols including gNMI, NETCONF, SNMP, and custom streaming transports
• Implement real-time processing engines, including aggregators, normalizers, and anomaly detectors, that transform raw device telemetry into actionable platform signals
• Develop and maintain RESTful and gRPC API services that expose platform data to internal consumers, dashboards, and external integrations
• Implement and evolve the platform’s time-series storage layer using databases such as InfluxDB, TimescaleDB, or equivalent, with a focus on query performance, retention, and data fidelity
• Build event-streaming consumers and producers using Kafka, Kinesis, or equivalent, ensuring reliable at-least-once or exactly-once processing semantics as required
• Implement data partitioning, sharding, and archival strategies that support high event volumes while meeting latency and durability SLAs
• Work with graph data models for network topology representation, supporting device relationship queries and topology-aware alerting
• Own the reliability of the services you build by participating in on-call rotations, responding to incidents, writing post-mortems, and driving systemic fixes
• Instrument services with meaningful observability, including structured logging, distributed tracing, and metrics that enable fast diagnosis of production issues
• Contribute to and follow platform-wide engineering standards for testing (unit, integration, and load), CI/CD pipelines, and deployment practices
• Participate in capacity planning, performance profiling, and optimization of backend services under production load
• Package and deploy backend services as containerized workloads on Kubernetes, following platform patterns for resource management, autoscaling, and service mesh integration
• Write and maintain infrastructure as code for service deployments, configuration management, and environment parity across cloud providers (AWS, GCP, or Azure)
• Contribute to multi-cloud and multi-region deployment patterns that ensure platform availability and meet data residency requirements
• Collaborate with the Principal Architect and product team to translate monitoring requirements into backend implementation plans and engineering specifications
• Participate actively in architecture and design reviews, providing implementation-level feedback and raising concerns grounded in production experience
• Conduct and participate in thorough code reviews, maintaining a high bar for correctness, performance, and maintainability
• Mentor junior and mid-level engineers through pairing, code reviews, and technical guidance

Requirements:

• 10+ years of backend software engineering experience, with a strong track record of shipping production services at scale
• Proven hands-on proficiency in Go and/or Rust, with experience building production systems using these languages
• Solid experience building and operating distributed data systems, including event streaming (Kafka, Kinesis, or equivalent), time-series databases, and high-throughput ingestion pipelines
• Strong fundamentals in distributed systems, including consistency models, failure modes, backpressure, idempotency, and the trade-offs between exactly-once and at-least-once processing
• Experience with cloud-native deployment, including containerization with Docker, Kubernetes orchestration, and operating services on at least one major cloud platform (AWS, GCP, or Azure)
• Familiarity with observability tooling, including structured logging, metrics (Prometheus/Grafana or equivalent), and distributed tracing (OpenTelemetry or equivalent)
• Comfortable writing SQL and working with both relational and time-series data models, with experience in schema design and query optimization
• Strong engineering practices, including test-driven or test-informed development, code review, CI/CD, and operational ownership, including participation in on-call rotations
• Experience with network telemetry protocols (gNMI, NETCONF, SNMP) or prior experience working at a network equipment vendor or network management platform company (e.g., Juniper, Cisco, or Nokia)
• Hands-on experience with graph databases or graph data models for network topology (e.g., Neo4j, Amazon Neptune, or custom adjacency representations)
• Familiarity with YANG data modeling or experience working with device configuration schemas in network management contexts
• Experience building multi-tenant SaaS backend services with strong data isolation and per-tenant resource management
• Contributions to open-source infrastructure, observability, or networking projects, or published technical writing on distributed systems topics
• Experience working in or adjacent to regulated, security-conscious environments (e.g., FedRAMP, NIST, or equivalent)