Software Dev Engineer - Fullstack

The Location Platforms team is responsible for all services related to the processing and serving of location-centric entities, predicting and processing user location, and the contextual intersection of these two spaces, including geopolitical relationship mapping, forward and reverse geo­coding and routing, point­-of-­interest catalog and search, movement data contextual enrichment, etc. These services are embedded across the footprint of the network in applications like Web Search, Ads Targeting, Content Personalization, Mail Inbox Commerce, etc., while also producing aggregate data for campaign insights and business intelligence. 

In support of these goals, the Location team builds highly scalable near real-time, back­-office and front­-stage systems backed by IP intelligence, best-known GeoInformation and Statistical/Machine­-learned models that have access to large-scale data from user activities and interactions. This requires software development engineers skilled in the disciplines of big data manipulation using distributed computing technologies, data mining, statistical analysis, machine-­learned modeling, and the domain knowledge to support these models.

Responsibilities: 

Be part of an agile scrum team and demonstrate constant progress through proof of concept, sandboxing and prototyping

Architect and design scalable, maintainable, secure and reusable strategic solutions

Requirements (must have):

BS, MS, PhD in Computer Science or a related major

Minimum of 5 years industry experience as a full-stack engineer

processes

Strong programming skills in Java; Scala preferred.

Micro Service API - Java,  Spring 

Front-End Stack—React, Svelte, JavaScript, jQuery, HTML, CSS, Node.js

Experience architecting and implementing large-scale, highly integrated, distributed data acquisition, ingestion, publishing, storing and serving systems

Ability to implement multi-layered, scaled applications using AWS native services 

Advantageous to have the following:

Experience with big data technologies, such as Spark, Hadoop, and Airflow

Experience with containerization technology (Docker, ECS, Kubernetes)

Design and implement frameworks and tools that empower other developers and non-technical colleagues across your entire team

Estimate timelines, perform task breakdown, scoping, design, implementation for mid-to-large scale products and complex multi-month deliverables with insightful strategic approaches

Lead key team initiatives from start to finish by managing and improving the entire software development life cycle

Seek opportunities in our day-to-day workflow and process to improve quality and efficiency from initial ideation to deployment

Present and communicate across multiple groups to showcase progress, share knowledge and evangelize best practices

Performing code reviews for your peers, where they will learn from your experience and guidance, contributes to collaborative working models

Recommend approaches to solving complex problems and use new technologies to achieve goals

Own, deploy, monitor, and operate large-scale production systems distributed across the globe. 

Lead and mentor junior engineers in the process of building production-grade systems and applications which scale and perform 

Act as technical liaison to business teams to translate business needs to work streams and technical solutions