Senior Software Engineer, Catalog Store

🕒 Ontem

🇨🇦 Canadá – Remoto

💵 $168.000 - $177.500 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Instacart

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2012

🍽️ Alimentos e Bebidas

📦 Logística

🛍️ Comércio Eletrônico

💰 $232.000.000 Venture Round em 2021-11

Food & Beverage • Logistics • eCommerce

A Instacart é uma empresa que oferece uma abordagem flexível de trabalho enquanto transforma o setor de supermercados. Ela presta um serviço essencial ao entregar compras de supermercado e itens para a casa na porta dos clientes em até 30 minutos. A Instacart oferece oportunidades de ganho seguras e flexíveis para personal shoppers e enfrenta desafios como redirecionar entregas durante nevascas e conectar clientes a cupons e promoções. Seu objetivo é ser o sistema operacional do setor de supermercados, ajudando os clientes a economizar tempo para outras atividades. A Instacart valoriza diversidade, equidade e pertencimento em sua cultura de trabalho.

Descrição

• Serve as a senior engineer on a small team with significant ownership and autonomy, reporting to an engineering manager and partnering with the tech lead • Lead projects end to end across Catalog Store services and datastores, from problem definition through design, implementation, production rollout and operation • Own the health and evolution of the self-hosted PostgreSQL fleet on AWS EC2, including sharding, replica topology, capacity planning, backups, restores, schema and index tuning, upgrades, and retiring legacy clusters • Drive new datastore systems to production, including ingestion, data freshness, API migrations, shadow testing, staged rollouts and deprecation plans • Optimize and harden Temporal-based ingestion workflows • Write and review design documents, make technical trade-offs, and align with partner teams • Improve reliability through observability, SLOs, automation and runbooks • Participate in on-call rotation and lead incident response and follow-up • Mentor engineers, improve code quality through reviews, and onboard new teammates

🎯 Requisitos

• 5+ years of professional software engineering experience building and operating backend services or distributed systems in large-scale cloud environments • Strong production experience in Go, or deep production experience in another backend or systems language (e.g., Java, C++, Rust) and willingness to work primarily in Go • Deep hands-on experience with PostgreSQL or another relational database in production, including data modeling and lifecycle, schema and index design, query performance tuning, replication, backups and restores • Experience designing for scale, reliability and performance in distributed systems, including low-latency services and caching • Track record of independently leading projects end to end, from an ambiguous problem through design, implementation, rollout and operation, including work involving other engineers or teams • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience • Experience operating services on AWS or another major cloud, including infrastructure-as-code tools such as Terraform • Production operations experience: observability, on-call participation, incident response and postmortems • Experience building or operating low-latency, high-throughput RPC services • Experience self-hosting databases or other core infrastructure, including sharded or replicated clusters and fleet automation • Experience mentoring engineers and raising code quality through code and design reviews • Clear written and verbal communication, including design documents, and ability to drive alignment across teams and stakeholders • Ability to balance urgency with high-quality, pragmatic solutions • Experience leading datastore or similar platform transformation initiatives with zero downtime • Familiarity with key-value or in-memory datastores or distributed SQL databases • Experience with workflow orchestration or data pipelines from warehouses like Snowflake • Track record of measurable impact on latency, availability or cloud cost • Experience applying AI tools to speed up development and operations, or building AI-assisted tooling

🏖️ Benefícios

• New hire equity grant • Annual refresh grants • Flexible work location from home, office, or coffee shop • Regular in-person events • AI tools for research, development and operations • Opportunity to learn from the team's collective experience

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