Senior Full-Stack Engineer II: Scale SaaS & Data

Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure.

Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates.

Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together.

About The Role:

The Software Engineer II (Full Stack) is an essential role for the development and refinement of software features or products. This role will be responsible for designing, building, maintaining, and improving software products and services with both frontend and backend components, specifically crafting interactive applications that utilize diverse UI technologies and tools. Sophisticated coding, testing, and debugging tasks along with resolving complex bugs, enhancing performance, and updating software will be additional focus areas.

This role is based out of our Seattle, WA office 5 days per week.

You will be joining a dynamic team that is the driving force behind the expansion of our suite of software products. A successful candidate will be able to navigate ambiguous and complex situations seamlessly, quickly establish trust and rapport across teams, and guide and mentor team members in scaling systems to accommodate more users and ensuring system functionality and reliability.

Join us on our journey of continual evolution and innovation!

What You Will Do:

• Design and implement stable and performant SaaS products utilizing both frontend and backend technologies such as C#, Java, and Node.js.
• Own a complex set of internal/external services and data sets.
• Execute full SDLC (design, build, document, unit/functional/load test, and deploy) APIs, UIs, applications, and infrastructure needed to scale our products and platform.
• Address latency and throughput challenges in data process and request serving.
• Design and develop high volume enterprise scale data service applications, which will handle billions of data points weekly.
• Build and manage large scale distributed system platform and services built using Big Data technologies.
• Evaluate existing software to identify enhancement opportunities. This will include tackling latency, throughput challenges in data processing and request serving.
• Set up efficient operational processes including continuous deployment pipelines (CI/CD), testing automation, and appropriate monitoring and alerts.
• Actively participate in design discussions, team planning and code reviews. Provide insightful and constructive feedback for team and individual improvement.
• Troubleshoot software failures by reviewing code errors, logfiles, metrics, using debug functions, and other common troubleshooting techniques.
• Provide guidance to junior engineers about software development, operational excellence.

Who We Are Looking For:

• Bachelor’s degree in Computer Science or a related technical field.
• 3+ years of professional development experience in modern programming languages such as JavaScript, Node.js, C#, Java, Python, or Typescript.
• 2+ years of professional development experience with React and building REST/Graph
  
  QL APIs.
• Experience with LLMs and other machine learning models.
• Experience with AWS services including, S3, SQS, Cloud Front, SNS, ECS, EC2, Route 53, Lambda, Kinesis.
• Experience using Database technologies:
  Mongo / Dynamo / MySQL / Postgres / RDS.
• Experience with Elasticsearch/Open Search.
• Experience using state management libraries such as Redux, Zustand, Redux Toolkit.
• Knows a broad range of design approaches and when to use them (and when to not).
• Understands a broad range of data structures and algorithms, and which to use, or not.
• Understands the maintenance characteristics, runtime properties, and dependencies of a software (e.g.,…