Senior Software Engineer, Backend Infrastructure

About the role

MOLOCO seeks exceptional Backend Engineers to join us in building a state-of-the-art mobile advertising platform. You will be part of the engineering team that builds a self-serving advertiser-facing ad manager which is used by customers on an everyday basis. Many leading apps worldwide already benefit from MOLOCO’s innovative technology for user acquisition, re-engagement, and monetization.

We’re looking for an engineer who will play a central role in building and supporting the platforms and services that will power the future of Moloco’s growth. We're looking for a software engineer who will contribute to the production by writing scalable, fault-tolerant, and testable code.

You will use backend technologies such as Kubernetes, Redis, Google Cloud Platform, and the Go programming language. Your work will span our flagship user and advertiser-facing products.

We understand the value of a strong engineering team and strive to hire only the best talent. While tackling challenging real-world problems, you will make a positive impact on millions of mobile users in the world and grow with top-notch colleagues. Check out the case study published by Google about how we scale using Google Cloud Platform, and this Moloco Engineering blog post describing some of the challenging distributed systems problems we face and how we currently solve them.

Basic Qualifications

• 4+ years software engineering experience using one or more modern languages such as Java, C#, Go, C++, etc.
• 2+ years software development experience on backend/infrastructure systems.
• Strong Computer Science fundamentals and problem-solving skills
• Strong software development skills, from requirements to design to implementation.
• Mastery of multiple skills involved in developing large scale systems, such as integration testing, deployment, monitoring, production troubleshooting, database schema design, or developing data processing pipelines.
• Experience delivering projects with material impact, through leading project teams of 5+ engineers and collaborating within and across teams and roles (Product Management, SRE, Data Science, ML engineering, etc); or through autonomously ownership of unusually complex projects, from inception to productionization.

Preferred Qualifications 

(We truly encourage you to apply even if you don’t have these) 

• Experience working with large-scale systems
• Experience working with distributed systems
• Experience mentoring engineers