SRE for high-load systems

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

• Build deep expertise in how HUB behaves as a system and engineer the risks away. This covers the data path, its dependencies, failure modes (shard loss, warm-ups, streaming lags, reconnect storms, cascading failures), performance bottlenecks and single points of failure.
• Define SLIs based on what HUB clients actually experience, work with development teams to agree on SLOs, and build the dashboards that track them. The goal is to make reliability measurable and manageable.
• Build and maintain HUB monitoring rules for every service: SLO-based alerts, alert routing by team and service labels, escalation paths, and requirements for metrics and logs. Get rid of noisy alerts and close monitoring blind spots.
• Migrate HUB services to Kubernetes and Argo CD. This includes stateful streaming services that must not drop client connections: graceful draining, controlled reconnects, warm-up, readiness checks and local storage.
• Join design reviews, run Production Readiness Reviews, review rollout changes for reliability impact.
• Prepare and run disaster recovery drills for HUB
• Take part in the weekly on-call rotation: respond to incidents, run blameless postmortems, see action items through and eliminate recurring causes.
• Work with the code of HUB services to fix reliability issues together with dev teams, using AI-assisted tools.

• Proven experience as an SRE or Production Engineer running high-load production systems
• A strong technical background in backend systems, Linux, networking and distributed systems.
• Production experience with Kubernetes (probes, graceful shutdown, resource management, stateful workloads), Helm, and GitOps with Argo CD or similar.
• Experience building observability: monitoring, alerting, distributed tracing and informative dashboards (Prometheus, Alertmanager, Grafana, OpenTelemetry)
• A solid understanding of CI/CD and safe delivery for complex multi-service systems: staged rollouts, canary checks and automatic rollback
• Hands-on incident management: on-call, structured response, blameless postmortems and systemic improvements after incidents
• Excellent communication skills and the ability to influence other teams without formal authority
• Будет плюсом: Experience with real-time streaming and long-lived connections: graceful draining, mass reconnects, backpressure; Performance engineering: profiling, load testing, bottleneck analysis; Infrastructure-as-Code tools (Terraform, Ansible, Puppet); Experience with Go; Production experience with PostgreSQL, Kafka, ClickHouse

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups