Senior Software Engineer - Data Platform

Engineering Minneapolis, Minnesota United States Nashua, New Hampshire Austin, Texas


Description

Optimizely is focused on unlocking digital potential and we are the recognized category leader in Digital Experience Platform (DXP) and created the category for A/B Testing and experimentation software. We have incredible customers – isn’t that one of the most important aspects of looking for your next job? Optimizely has over 9,000 brands from global organizations such as Visa, Sky, Yamaha, Wall Street Journal to tech innovators like Atlassian, DocuSign, FitBit and Zillow.

Not only are we financially sound and growing but we have unicorn status: Exceeded $300M in revenue in 2020, is profitable already, and has all strategic options ahead of itself. Optimizely continues to invest and addresses a market opportunity north of $30 billion, providing significant personal career growth opportunities.

We are an inclusive culture with a global team of 1200+ people across the US, Europe, Australia, and Vietnam. We blend European and American business culture with emphasis on teamwork, inclusion, and moving fast. People make the difference!

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 Senior Software Engineer to join our Data Infrastructure team. This team provides centralized data infrastructure and APIs for Optimizely 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. 

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’ll 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 

Desired qualifications: 

  • Strong Software engineering, SRE or DevOps background, preferably in the infrastructure space. 
  • Expertise in object-oriented programming languages like Java 
  • 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) is a plus. 

Why you’ll succeed: 

  • You are curious about how distributed systems operate and fail at scale.
  • 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.


Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.