Senior Site Reliability Engineer
Alterya by Chainalysis is an AI-powered crypto fraud prevention tool designed to safeguard customers from authorized push-payment (APP) fraud and secure platforms with advanced threat intelligence.
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About Alterya by Chainalysis
Alterya by Chainalysis connects crypto fraud across financial identifiers to block scams instantly. It safeguards customers from authorized push-payment (APP) fraud and secures platforms with AI-powered threat intelligence. The service detects and blocks fraudulent payments before funds leave a customer's account, monitors over $8B in monthly transactions, and protects over 100M users. It helps businesses grow by reducing false declines and increasing approval rates, thereby building customer trust and ensuring compliance with fraud management regulations. Alterya provides 360° protection from scams and money mules by automatically preventing payments to scammers, identifying fraudulent accounts during KYC processes, linking scam activity across networks with reliable intelligence, and tracking fraudulent activity on the platform.
Skills
About the Role
You will join the Hexagate team building a real-time on-chain detection and response platform that combines ML-driven threat intelligence, custom detections, and an LLM-powered rules engine to protect on-chain assets. You will own reliability as a product capability, build platform foundations, and operate resilient, observable systems supporting real-time ingestion, detection, and response workloads. You will drive modernization of infrastructure, improve developer experience, and partner closely with backend and platform engineers to raise the reliability bar across the organization. You will also take part in incident management and root cause analysis, following through on systemic fixes.
Requirements
- 5+ years of experience in SRE, infrastructure engineering, platform engineering, or a closely related role with strong hands-on production ownership
- Strong experience building and operating cloud-native systems in production, ideally in high-growth SaaS, fintech, cybersecurity, or similarly demanding environments
- Deep practical experience with Kubernetes, AWS, and infrastructure as code tools such as Terraform or Pulumi
- Strong understanding of observability, monitoring, debugging, and performance tuning for distributed systems
- Experience building or maintaining CI/CD systems, deployment tooling, and operational automation
- Solid coding ability in Python, Go, or Rust, with the ability to build internal tools and automate operational workflows
- Sound judgment around reliability trade-offs, failure modes, and safe delivery practices
- A collaborative mindset enjoying enabling product teams and mentoring engineers on operational best practices
- High ownership and a bias toward durable solutions
Responsibilities
- Own reliability as a product capability by defining and evolving SLOs, alerting standards, incident response practices, and production readiness expectations
- Build and improve platform foundations including CI/CD, deployment workflows, and infrastructure automation
- Design and operate resilient, observable systems supporting real-time ingestion, detection, and response workloads
- Lead improvements in scalability, performance, and operational maturity across services and environments
- Drive modernization of the infrastructure stack, including Kubernetes-based workloads, infrastructure as code, and standardized operational patterns
- Improve developer experience by creating internal tooling, paved roads, and clear operational standards
- Partner with backend and platform engineers to reduce toil and prevent recurring classes of failure
- Take part in incident management, root cause analysis, and follow-through on systemic fixes