Senior Site Reliability Engineer

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a Senior Site Reliability Engineer to join the team. You will build and operate the infrastructure and tooling behind WorldQuant's data ingestion pipelines — systems that onboard, validate, and deliver large-scale datasets to the firm's research platform. This is a 70% build / 30% operate role. You'll spend most of your time engineering automation, observability, and developer tooling, while also participating in on-call rotations and incident response for production data pipelines. You'll partner with engineering, analyst, and research teams to ensure reliability at scale — this requires excellent analytical skills, clear communication, and the ability to collaborate across teams.

What You'll Do:

Build (70%):

• Design and develop automation, monitoring, CI/CD, and reliability features for the data onboarding pipeline
• Develop and maintain internal infrastructure and services that reduce toil and improve pipeline reliability
• Build observability solutions — dashboards, alerting, log aggregation — using Grafana, the ELK stack, and Vector
• Design and implement CI/CD pipelines, test automation, and release management workflowsWrite infrastructure-as-code for provisioning, scaling, and managing platform components: Kubernetes, bare metal hosts
• Integrate and extend tools such as Redis, Celery, MySQL

Operate (30%): Keep production data pipelines healthy and respond to incidents

• Participate in on-call rotation, respond to production incidents, and drive post-mortems
• Define and track SLOs/SLIs for pipeline reliability, latency, and data freshness
• Diagnose platform performance and reliability issues, driving them to root cause
• Create and maintain runbooks for common operational scenarios
• Plan capacity and optimize resource utilization

What You'll Bring

• 8+ years of experience in SRE, DevOps, or platform engineering roles
• Linux expertise: Power user proficiency in Linux with ability to manage infrastructure, deploy services, and troubleshoot production systems
• Python proficiency: Strong scripting and automation skills; experience building CLI tools, API clients, monitoring integrations, and operational tooling in Python
• Kubernetes & containers: Deep hands-on experience with Kubernetes — deploying, scaling, debugging, and managing production workloads. Familiarity with Helm, resource management. Solid experience with Docker
• Observability: Hands-on experience with monitoring stacks — Grafana, Prometheus, ELK (Elasticsearch, Logstash, Kibana), or similar. Experience designing dashboards, alerts, and SLO-based reliability tracking
• CI/CD & infrastructure-as-code: Experience designing and maintaining CI/CD pipelines (GitLab CI, or similar), including test automation and release management. Familiarity with Ansible or similar IaC tools
• Databases: Working knowledge of relational databases (MySQL/PostgreSQL), query tuning, and operational database management
• Message queues & streaming: Experience with Kafka, Redis pub/sub, or Celery for event-driven architectures
• Networking & APIs: Understanding of network fundamentals, DNS, load balancing, and REST/gRPC APIs
• Incident management: Experience with on-call rotations, incident response, post-mortems, and runbook-driven operations
• Leadership & management: Proven track record of leading a team — mentoring engineers, driving technical roadmaps, coordinating cross-team initiatives, and managing priorities. Comfortable owning team delivery and representing the team to stakeholders
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development and operations workflow — treating AI as a force multiplier for automation, incident analysis, and toil reduction
• Nice to Have:
  • Cloud platforms: Exposure to GCP or AWS for compute, storage, and managed services
  • Data tools: Familiarity with Apache Arrow, gRPC, or columnar data formats
  • Big data platforms: Familiarity with Hadoop or Apache Spark for large-scale data processing
  • Programming languages: C/C++, Golang, Scala, JavaScript
  • Financial services or data-intensive industry background
  • SRE culture: Familiarity with Google's SRE book principles — error budgets, toil tracking, blameless post-mortems

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

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