Senior Site Reliability Engineer
Chainalysis is the blockchain data platform.
About Chainalysis
Chainalysis offers a blockchain data platform that utilizes sophisticated machine learning and proprietary architecture to handle extensive clustering heuristics, ingest data at scale, and ensure high data accuracy. The platform supports new blockchains and standard tokens automatically, providing comprehensive industry coverage. It simplifies tracing fund flows through complex transactions like bridges, mixers, and DEX swaps. The data provided by Chainalysis is court-admissible and has been instrumental in legal actions. The company provides global, 24/7 support with localized guidance and expertise in various threat typologies and advanced investigative techniques. Through its R&D initiative, Chainalysis Labs, the company continues to innovate and introduce new, unique features and capabilities in blockchain intelligence.
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