About Whistler Trading

Whistler Trading is a quantitative proprietary trading firm building systematic, high-performance trading infrastructure across crypto and traditional financial markets. Founded by veterans from top-tier proprietary trading firms and leading institutional market makers, we operate with a lean, high-conviction team structure where every engineer's work has a direct and measurable impact on the business.

We trade algorithmically across centralized and decentralized crypto exchanges as well as traditional financial venues — deploying strategies that demand ultra-low latency, institutional-grade reliability, and deep exchange connectivity. Our infrastructure is the foundation on which every trade executes, every strategy is deployed, and every edge is captured.

The Role

We are looking for a DevOps Engineer to own the foundational platform that orchestrates our entire trading infrastructure — from automated deployment pipelines and cloud architecture to real-time monitoring, exchange connectivity, and production reliability. This is not a maintenance role. You will design and build production critical systems where latency is measured in nanoseconds, downtime has direct financial consequences, and every deployment decision matters.

You will work closely with Quant Researchers, Devs & Trading engineers and firm leadership in a globally distributed team. If you have managed DevOps for a crypto trading firm and understand the full stack — from exchange API connectivity and market data pipelines to strategy deployment and infrastructure hardening — this role is built for you.

What We're Looking For

Requirements (Non-Negotiable)

Production DevOps experience at a crypto prop trading firm, HFT desk, or quantitative crypto fund — you must understand exchange connectivity, API rate limits, order routing infrastructure, market data normalization, funding rates, and the operational nuances of running trading systems against crypto exchanges 24/7
5+ years of hands-on DevOps / SRE / Platform Infrastructure experience
Deep understanding of low-latency systems, network optimization, and performance profiling in trading contexts
Deep expertise in AWS — EC2, VPC, EKS, S3, IAM, CloudFront, Route53, CloudFormation — with a focus on latency optimization and cost-efficient scaling
Kubernetes at production scale — cluster management, auto-scaling, Helm charts, service mesh, and container orchestration for distributed trading applications
Strong CI/CD pipeline architecture — GitHub Actions, ArgoCD, Jenkins, or GitLab CI — with experience building deployment workflows for production-critical trading systems
Terraform / infrastructure-as-code fluency — you define infrastructure in code, version it, and deploy it deterministically
Monitoring and observability — Grafana (primary), Prometheus, ELK — with real-time alerting and dashboarding tuned for trading operations
Strong scripting — Bash, Python, Rust; familiarity with Go is a plus
Security-first approach — secrets management, key rotation, IAM policies, network segmentation, server hardening
Comfortable with on-call ownership and high-urgency incident response — crypto markets never close

Strong Plus

Blockchain node management, RPC infrastructure, and validator operations
Wallet infrastructure, HSM integration, or cryptographic key management systems
Experience with real-time market data pipelines — WebSocket multiplexing, normalized feeds, tick-level data ingestion
Database optimization — especially time-series databases (InfluxDB, TimescaleDB, QuestDB) for trading analytics
Additional experience with TradFi / traditional exchange infrastructure — matching engines, FIX protocol, co-location, market data feeds from HKEX / TAIFEX / NSE / BSE etc — is a significant advantage
Multi-region / disaster recovery architecture with automated failover
Experience in a lean, globally distributed team operating at the pace of a startup with institutional-grade expectations

What Sets You Apart

You've been the go-to infrastructure person at a crypto trading desk and understand that downtime = P&L; loss
You've navigated exchange connectivity issues during volatile market conditions and know the urgency that crypto infrastructure demands
You think in terms of latency budgets and tick-to-trade timelines, not just uptime percentages
You understand the difference between deploying a web app and deploying a trading strategy to production
You take ownership of production-critical systems — you don't wait for tickets, you anticipate failures and prevent them
You communicate clearly, escalate decisively, and collaborate across time zones with quants, traders, and engineers

What You'll Do

Support exchange connectivity and market data infrastructure — ensuring reliable, low-latency connections to centralized and decentralized venues across multiple geographies
Measure, profile, and optimize latency across every layer — network hops, DNS resolution, WebSocket connections, cloud parameters — with quantifiable benchmarks
Collaborate with quant researchers and trading engineers to deploy strategies to production with confidence — your infrastructure is the last mile between alpha and execution
Design real-time monitoring dashboards and alerting systems (Grafana, Prometheus, ELK) purpose-built for trading operations — covering exchange connectivity health, order flow, strategy performance, and system metrics
Architect and optimize AWS cloud infrastructure — compute, networking, storage — with relentless focus on latency reduction and performance tuning
Design, build, and own automated CI/CD pipelines for seamless, auditable deployment of trading systems across pre-prod and production environments
Build and maintain production and pre-production deployment pipelines with zero-downtime releases, canary deployments, and rapid rollback capabilities
Manage containerized trading infrastructure using Docker and Kubernetes (EKS) — ensuring resilience, scalability, and deterministic deployments
Implement and enforce infrastructure-as-code practices using Terraform, Helm, and GitOps workflows
Enforce security hardening across all systems — access controls, secrets management, intrusion detection, vulnerability scanning, and compliance with institutional security standards
Conduct regular infrastructure audits, generate system health reports, and maintain KPIs on uptime, latency, deployment frequency, and mean time to recovery
Develop automation scripts and tooling (Bash, Python, Rust) for orchestration, deployment, configuration management, and incident remediation
Improve developer experience around deployment, pipeline tooling, and infrastructure self-service for the engineering team

Why Whistler Trading

Ground-floor opportunity to build production-critical trading infrastructure from scratch at a firm founded by veterans from top-tier trading firms
Work directly with founders and firm leadership — your decisions shape the infrastructure that powers every trade
Industry-leading compensation commensurate with experience and impact
Zero bureaucracy — a flat, high-autonomy environment where the best ideas win and execution speed matters
A team that values talent density over headcount — small team, outsized impact, real ownership

Whistler Trading

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