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Высокий темпАктуальный стекЧёткая зона ответственностиФинтех-платформа
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Capacity & Efficiency (AWS): Building forecast-driven capacity planning and closed-loop automation for Robinhood's Aurora, RDS, S3, cache, and storage fleet with an accent on AWS cost efficiency, reliability, and production safety. Focus on modeling bursty trading demand, rightsizing infrastructure, and designing progressive rollouts with guardrails and rollback.
Location: Bellevue, WA office; in-person attendance expected at least 3 days per week.
Base pay for Bellevue, WA: $196,000–$230,000 USD per year, plus bonus opportunities, equity, and benefits.
Company
Robinhood builds financial products aimed at democratizing finance and operates a high-scale, latency-sensitive trading platform.
What you will do
Build forecast-driven capacity plans for storage and database fleets using traffic history, load tests, and market or business events.
Design an Aurora capacity planner that sets reader counts and writer instance sizes from demand and load signals.
Rightsize RDS, Aurora, ElastiCache, DynamoDB, EBS, and other infrastructure based on utilization and changing load.
Own S3 storage-class, Intelligent-Tiering, lifecycle, retention, versioning, upload, and request-cost efficiency at scale.
Convert validated recommendations into production automation with guardrails, progressive rollout, rollback, and fallbacks for AWS capacity constraints.
Measure savings, forecast error, utilization, and post-event capacity, and share forecasts with compute rightsizing systems.
Requirements
Deep hands-on experience operating AWS storage and databases at scale, especially Aurora or RDS with MySQL or PostgreSQL and S3, including replication, read scaling, storage classes, and lifecycle management.
Experience with capacity planning and forecasting, including time-series demand modeling, load testing, and translating traffic into instance counts, sizes, and storage growth.
Track record of rightsizing infrastructure using CPU, memory, IOPS, throughput, and stored-byte utilization without reducing latency or availability.
Strong Python or Go engineering experience building automation that safely modifies production infrastructure with guardrails, progressive rollout, and rollback.
Nice to have
Familiarity with AWS storage and database pricing, including S3 storage classes and requests, Aurora I/O-Optimized versus Standard, and Reserved Instances.
Experience with bursty, event-driven workloads such as trading, payments, or ticketing, or with Spark, Airflow, or Kubernetes.
Culture & Benefits
High-impact, fast-moving work with ethics at the center and close partnership across Infrastructure, Finance, Storage, and product engineering teams.
Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
Company-paid health insurance for employees, dependent coverage, lifestyle wallet, life and disability insurance, fertility benefits, and mental health benefits.
Company holidays, paid time off, sick time, and parental leave.
In-person office experience with catered meals, events, and comfortable workspaces.
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