Sr. Software Engineer, Big Data

Silicon Valley, CA, United States • $120k - $190k

Machine Zone


Role Location

  • Silicon Valley, CA, United States

Compensation

$120k - $190k

Employees

501+ people

Address

1100 Page Mill Rd
Palo Alto, CA, 94304-1047, US

Tech Stack

  • C++
  • Lua
  • PHP
  • Erlang
  • Python
  • Java
  • Scala
  • Hadoop
  • Kubernetes
  • Docker

Role Description

Sr. Software Engineer, Big Data

The MZ DSP team builds full-stack technology solutions to support our in-house programmatic marketing efforts. As one of the largest global marketers in mobile, MZ solves problems at scale and speed. With our media buying managed entirely in-house, we have unparalleled visibility and control into how our marketing technology is utilized.

Our team is agile and values transparency, encouraging high levels of autonomy and collaboration cross-functionally. Each team member is an integral part of roadmap planning and prioritization discussions, with the opportunity to learn and innovate.

We are seeking someone passionate about building massively scalable systems who can collaborate seamlessly with engineering, research science, and product teams. You will drive the development of systems to empower our research teams to rapidly iterate and deploy solutions for the product and business team we support.

What you'll be doing:

-Working with data scientists to develop novel, massively scalable machine learning systems using Python and Java -Using streaming and batch technologies to build analytics pipelines to process and analyze massive datasets -Building and optimizing complex queries to materially impact the effectiveness of our marketing initiatives as one of the largest media buyers in mobile -Independently finding, troubleshooting and resolving problems -Performing peer code reviews and providing mentorship to the team -Your background and who you are: -Bachelor's degree or higher in Computer Science or related field -5+ years experience as a Java developer, esp. with scalable distributed systems -2+ years working with big data technologies such as Hadoop, MapReduce, Spark, Kafka, Samza -Proficiency in at least one programming language, Java, Scala, C++, R, Python -Experience building big data pipelines and workflow management, such as Airflow -Experience building and maintaining high-performance, fault-tolerant, secure, and scalable distributed software systems -Familiarity with alerting using tools such as pagerduty, opsgenie, or grafana -Experience with continuous integration and related tools -Ability to learn quickly in a fast-paced, dynamic team environment

Bonus points:

-Masters in Computer Science -Experience in large scale Machine Learning/recommender systems -Expertise in Ad technology with a background in programmatic buying -Experience with operational streaming analytic systems

MZ is an equal opportunity employer and considers qualified applicants without regard to race, gender, sexual orientation, gender identity or expression, genetic information, national origin, age, disability, medical condition, religion, marital status or veteran status, or any other basis protected by law.

About Machine Zone

Machine Zone is a global leader in mobile gaming, with a track record of delivering some of the world’s most successful mobile games including Game of War, Mobile Strike, and Final Fantasy XV: A New Empire. We combine the power of technology and creative vision to create experiences that connect people from all corners of the globe.

Our massive mobile games break down linguistic and geographic barriers by uniting an unprecedented number of global players in one gaming world. We empower our game developers to push the boundaries of innovation in a player-driven ecosystem.

Company Culture

Everything we’ve built, we’ve built together. We are passionate about what we do. We take risks and push the boundaries of what is possible. We challenge each other continuously, learn from our mistakes, and support one another. We triumph together!

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.