Job Url: https://www.remoterocketship.com/company/instacart/jobs/senior-staff-principal-software-engineer-catalog-real-time-serving-systems-united-states-remote

Job Description: 
Instacart
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Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. 

Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. 

Instacart emphasizes diversity, equity, and belonging in its work culture. 

Grocery Delivery • online grocery


1001 - 5000 employees


Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

Senior Staff/Principal Software Engineer, Catalog & Real-Time Serving Systems
15 hours ago

🇺🇸 United States – Remote

💵 $248k - $372k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

Cloud

Distributed Systems

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📋 Description
• Provide architectural leadership for Catalog, streaming, and data-intensive systems, emphasizing ML serving infrastructure and best practices, and drive the technical roadmap.
• Design, build, and scale reliable, efficient, and adaptable solutions to address changing business and ML needs.
• Lead the development and optimization of ML serving endpoints, ensuring high availability, low latency, robust performance, and implement fail-fast input validations and track metrics using Datadog.
• Centralize ML serving logic and decouple it from product applications to improve debugging, manageability, and system performance.
• Drive and contribute to company-wide transformational initiatives, impacting key business metrics like revenue, personalization, and operational efficiency, and influence the direction of ML infrastructure including real-time inferencing.
• Serve as a subject matter expert for Catalog, streaming, data-intensive, and ML serving technologies, providing guidance and mentorship to engineering and data science teams.
• Identify and implement innovative solutions to optimize system performance, reduce costs, and improve data processing and ML serving latency.
• Collaborate with cross-functional teams, including Product, Retailer, IC App, Ads, ML Infrastructure, and Data Science, to deliver integrated ML-driven solutions, and lead incident response and resolution for high-severity issues.

🎯 Requirements
• Extensive experience in software engineering, with a focus on distributed systems, streaming processing (e.g., Flink), data intensive applications, and particularly, Machine Learning serving and deployment.
• Proven track record of designing, implementing, and scaling large-scale, high-performance systems, including ML serving infrastructure.
• Deep understanding of database technologies, data modeling, data pipelines, and ML model deployment patterns.
• Strong architectural skills and the ability to design and evaluate complex technical solutions across diverse technology domains, including Catalog, Streaming, and Machine Learning.
• Excellent problem-solving and debugging skills, with specific experience in addressing issues related to ML model serving, data quality, and infrastructure stability.
• Strong communication and collaboration skills, with the ability to effectively work across teams, influence stakeholders, and mentor junior engineers.
• Experience with cloud platforms and related technologies, including ML serving platforms (e.g., Sagemaker).
• Ability to quantify and demonstrate the impact of technical contributions on business results (e.g., revenue, efficiency, cost savings, and ML model performance).
• Familiarity with challenges related to ML lifecycle, data flow, and best practices

🏖️ Benefits
• Instacart provides highly market-competitive compensation and benefits in each location where our employees work.
• This role is remote and the base pay range for a successful candidate is dependent on their permanent work location.
• Please review our Flex First remote work policy here.
• Offers may vary based on many factors, such as candidate experience and skills required for the role.
• Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
• Please read more about our benefits offerings here.
• For US based candidates, the base pay ranges for a successful candidate are listed below.
• CA, NY, CT, NJ: $299,000 — $372,000 USD
• WA: $287,000 — $357,000 USD
• OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $275,000 — $342,000 USD
• All other states: $248,000 — $309,000 USD