Role Overview
- Performance Engineering: Develop backend services designed for demanding latency and throughput requirements.
- Concurrency & Parallelism: Build efficient concurrent systems with careful attention to threading, asynchronous execution, synchronization, and memory utilization.
- Profiling & Optimization: Identify and eliminate performance bottlenecks through code profiling, benchmarking, load testing, and runtime analysis.
- Cold-Start Performance: Design and optimize initialization, warm-up, and cold-start mechanisms to minimize processing delays.
- Decision Systems: Implement reliable APIs, validation workflows, and rules-based processing with predictable and testable behavior.
- Production Reliability: Ensure correctness, error handling, observability, security, and operational stability.
- 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.
- Experience building payment, transaction-processing, financial, or healthcare systems.
- Experience optimizing serverless execution and cold-start behavior.
- Experience with deterministic rules engines, real-time decision systems, or high-volume event processing.
What We Offer
Our SCOUT Values
Skills Required
- Strong production backend engineering experience, preferably with Golang
- Expertise in concurrent and parallel programming, including race conditions, synchronization, and resource contention
- Deep understanding of memory management, application runtime behavior, and performance profiling
- 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
- Experience building payment, transaction-processing, financial, or healthcare systems
- Experience optimizing serverless execution and cold-start behavior
- Experience with deterministic rules engines, real-time decision systems, or high-volume event processing
What We Do
We turn business problems into governed applications, agents, and targeted software. Our forward-deployed pods combine senior operators and engineers. Each pod embeds with client teams, learns how work happens, and ships production systems within weeks. Chiri supports AI adoption, AI optimization, and AI software engineering. We assess workflows, design operating models, and deploy digital workers into existing tools. We also audit scattered AI systems, add governance, consolidate systems, and measure return on investment. Chiri Brain provides the shared foundation for every deployment. Its ontology preserves company knowledge and operating context. Sherpa connects current applications and provides broad AI model access. Glacier applies security, permissions, validation, and audit controls. Client data remains client-owned. Each Statement of Work defines the custom deliverables and related terms. Chiri supports work across go-to-market, engineering, finance, and people operations. Our systems work inside tools such as Slack, HubSpot, Gmail, Teams, Salesforce, Jira, and Zendesk. We build from a first production application through enterprise scale. Chiri Brain remains after the pod steps back. This model gives companies lasting AI capability without requiring a separate internal AI company.
Why Work With Us
We value curiosity, ownership, speed, and people who love solving complex problems with simple solutions. If you’re excited about building a meaningful company, working with highly talented people, and making a real impact from day one, we’d love to meet you.
