Staff Software Engineer - Data Platform

Staff Software Engineer - Data Platform
Full Time
$120k - 160k per year

Job Description

job summary:

Description



We're starting a new chapter as a combined business. As we proudly join forces to create a new wave of digital leaders by transforming digital experience creation and optimization.



We are consistently ranked as a market leader in digital experience creation, supporting the digital journeys of 9,000+ global brands. Combined, these two powerhouses create the most advanced digital experience platform in the industry. Together our mission is simple; we empower people to unlock their digital potential by giving them the tools and the confidence they need to operate freely so that they can create and optimize digital experiences that result in outsized outcomes for businesses and people.



If you are looking to work on the next generation of digital technologies in a fast-paced, hyper-growth environment, apply! We're just getting started...



We are looking for a Staff Software Engineer to join our Data Platform team. We have built sophisticated infrastructure that processes billions of events per day, enriches them via stream processing, aggregates and stores them efficiently to support large scale performant queries. This team provides centralized data infrastructure and APIs for experimentation, event and results data needs. This includes distributed databases, streaming platforms, storage solutions and big data infrastructure. Our users include both paying customers and other engineers within the company building data products. The Data Infrastructure team plays an important role in making it easy and efficient for our users to get accurate data in and out of our systems. If you have practical machine learning experience that allows you to develop sound solutions for problems such as contextual decision making, clustering, content targeting and optimization, ranking, prediction, and classification then so much the better.



What you'll be doing:




  • You will build and support products, platforms and tools that provide high leverage to customers and engineering teams
  • You will drive continuous improvements to the reliability, accuracy, performance, security and cost our data infrastructure
  • You will solve business-critical data and distributed systems engineering problems, utilizing the best languages and technologies for the job.
  • You work with highly scalable systems that ingest, deduplicate, count, aggregate, store, and archive event data as well as serve real-time analytics insights
  • Maintaining and improving a production machine learning platform powering recommender, statistics, and personalization products

Desired qualifications:




  • strong Software engineering, SRE or DevOps background, preferably in the infrastructure space
  • Knowledge of build/release systems and processes
  • Deep passion for the infrastructure space and solving complex problems
  • Familiarity with microservice architectures and experience building infrastructure platforms and tools
  • Experience with Cloud Computing platforms like AWS and understanding of scaling and reliability concerns
  • Excellent communication and collaboration skills
  • Knowledge of container services (Docker/Kubernetes)
  • You have strong fundamentals in Computer Science, especially algorithms and data structures, are an expert in at least one of Java, Scala, Python, and are comfortable working with JavaScript.
  • You will build systems and services using batch and stream processing, spanning technologies such as Hadoop, Samza, and Spark, in languages such as Java and Scala
  • Experience with machine learning techniques and model training is a plus
  • You have 5 to 8 years of experience doing this with 2 or more years leading and are looking for your next big challenge

Why you'll succeed:




  • You are curious about how distributed systems operate and fail at scale and how to fix them
  • You understand the scalability and performance tradeoffs and appropriately build systems as we move from prototype to production
  • You have an automation mindset. You seek to fully understand problems, and then produce workable and efficient solutions
  • You reflect and seek feedback on choices and trade-offs in your design process
  • You seek context to inform your decisions, and you adapt to changes according to the needs of the business
  • You are curious about emerging technologies and are interested in evaluating and adapting where it makes sense
  • You are a team player who enjoys collaborating across engineering teams
  • You appreciate working with people from all walks of life, and you work to respectfully engage and collaborate with colleagues regardless of perspective or experience

 

location: Nashua, New Hampshire

job type: Permanent

salary: $120,000 - 160,000 per year

work hours: 8am to 5pm

education: Bachelors

 

responsibilities:


  • You will build and support products, platforms and tools that provide high leverage to customers and engineering teams
  • You will drive continuous improvements to the reliability, accuracy, performance, security and cost our data infrastructure
  • You will solve business-critical data and distributed systems engineering problems, utilizing the best languages and technologies for the job.
  • You work with highly scalable systems that ingest, deduplicate, count, aggregate, store, and archive event data as well as serve real-time analytics insights
  • Maintaining and improving a production machine learning platform powering recommender, statistics, and personalization products



 

qualifications:


  • Experience level: Experienced
  • Minimum 4 years of experience
  • Education: Bachelors
 

skills:
  • Docker
  • Kubernete
  • Java
  • Scala
  • Hadoop
  • Python



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Dice Id : cxsapwma1
Position Id : 829514
Originally Posted : 2 months ago
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