Staff Engineer, Cloud Platform

2 months ago

New York State, United States Catapult Staffing Full time

We empower our team members to drive innovation, create value, and continue to spearhead the creation of this industry — a game changer when it comes to career growth.



Staff Engineer

Location: Remote from the U.LI-Remote

Reports to: VP, Engineering

General Tech Focus: Backend (system design) in Python, Golang, AWS, and heavy data experience (detailed in JD)



We are hiring a Staff Engineer to lead our Consumer and Creator efforts. Our Creator and Consumer iOS, Android, and Web Apps are driven by 50+ back end services. These back end services handle many core functions from authentication to many account and application related scenarios as well as core product and posting scenarios.

You have experience building highly scalable systems that anticipate significant growth across multiple dimensions.

You’ll simplify and get things done, working effectively with engineering teams across the company. This highly visible position will have you working closely with the VP of engineering and other departments to ensure success.

Authentication, Account management, Creator Application, Onboarding Creators, Shopper/Consumer experiences, Marketing, Creator Performance.

Lead the building and scaling of multiple scale high throughput low latency Services.
Bring a strong command of Golang, or other backend technologies.
Have expertise in designing and building complex systems, architecture, and solutions and get a large number of leaders on board.
Define engineering operational excellence and help complete critical engineering projects on time, within budget and at high quality.
Identify and evaluate new technologies and tools to improve the efficiency and effectiveness of the engineering team.
Excellence: Create and maintain technical documentation, including architectural diagrams, design documents, and project plans.
System Design: Design, develop and deploy software solutions that meet the needs of the business.
Project Management: Ability to lead projects from conception to completion, manage timelines, resources, and priorities effectively.
Experience: more than 8 years demonstrating a deep understanding of distributed systems and software development principles, architecture, and best practices.
A bachelor's or master's degree in Computer Science, Software Engineering, or a related field is preferred, although relevant work experience can sometimes compensate for formal education.
Design, develop and deploy software solutions that meet the needs of the business.
Ensure that the engineering team adheres to coding standards, best practices, and compliance requirements.
Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc).
Containerization and Orchestration: Familiarity with containerization (Docker) and orchestration tools (ECS, Kubernetes) for deploying and managing big data applications.
Streaming Data: Knowledge of stream processing frameworks like Apache Kafka or Apache Pulsar is valuable for handling real-time data streams.
Optimization: Proficiency in optimizing big data applications for performance, throughput, and resource utilization.
Data Storage: Expertise in working with various data storage technologies, including relational databases, NoSQL databases (like Hadoop HDFS, Apache Cassandra), and columnar databases.
Data Modeling and ETL: Understanding of data modeling concepts and experience with Extract, Transform, Load (ETL) processes for transforming and moving data between systems.

A remote-first, productivity-first environment
Medical Insurance, Vision Insurance, Dental Insurance
Summer Fridays and Flexible PTO



We look forward to your application

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