Backend Engineer – Low-Latency Systems

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🔥 1 minute ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 25%

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Chiri

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Chiri is an AI managed service provider (MSP) that builds company-specific AI applications and agents on a shared platform called Chiri Brain. They embed small, senior pods of engineers and operators inside client teams to scope work, deliver MVPs, connect to existing software, and scale to enterprise production while retaining a persistent organizational memory (Ontology), integration layer (Sherpa), and security/validation layer (Glacier). Their offering emphasizes avoiding vendor lock-in to specific models by keeping context model-independent, delivering governance, permissions, auditability, and AI infrastructure. Chiri targets businesses seeking to move AI from pilots to production, providing ROI-based scoping, short time-to-MVP, and ongoing operational support with the Brain platform carrying the capability after the pod steps back.

📋 Description

• Develop backend services designed for demanding latency and throughput requirements • Build efficient concurrent systems with attention to threading, asynchronous execution, synchronization, and memory utilization • Identify and eliminate performance bottlenecks through code profiling, benchmarking, load testing, and runtime analysis • Design and optimize initialization, warm-up, and cold-start mechanisms to minimize processing delays • Implement reliable APIs, validation workflows, and rules-based processing with predictable and testable behavior • Ensure correctness, error handling, observability, security, and operational stability • Build services supporting real-time claim validation, decision engines, data processing, and enterprise integrations

🎯 Requirements

• Strong production backend engineering experience, preferably with Golang • Demonstrated expertise in concurrent and parallel programming, including race conditions, synchronization, and resource contention • Deep understanding of memory management, application runtime behavior, and performance profiling • Proven ability to optimize latency and throughput in production systems • Strong fundamentals in statistics, including distributions, percentiles, variability, and performance measurement • Experience with APIs, databases, asynchronous processing, and distributed systems • Experience with Docker, Git, automated testing, and CI/CD • Strong debugging, problem-solving, and communication skills • Experience in competitive programming (preferred) • Experience building payment, transaction-processing, financial, or healthcare systems (preferred) • Experience optimizing serverless execution and cold-start behavior (preferred) • Experience with deterministic rules engines, real-time decision systems, or high-volume event processing (preferred)

🏖️ Benefits

• The opportunity to solve challenging performance problems and build the core transaction-processing capabilities of a new production platform.

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