Senior Software Engineer II

Upside•Austin, TX

1d•$170,000 - $210,000•Hybrid

About The Position

At Upside, engineers are expected to gather the right context from those around them and take thoughtful, calculated risks. By doing so, we help our teams move quickly and make informed decisions that lead to high quality software and delightful user experiences. We're looking for engineers who are curious about the “why” behind what we build, and strive to understand the bigger picture so they can make better technical choices. We value individuals who seek out opportunities to improve our systems and deliver real business impact through their work. We embrace change and foster open conversations to help ideas evolve and grow. Here are some ways we have seen engineers drive impact at Upside: Help cultivate a collaborative and safe environment. You can speak up to name problems, which will invite conversations that will then drive solutions. Learn and innovate on the ways we can improve our system. You are able to hone in on gaps in quality, security, performance, and speed of execution and generate buy-in to raise those bars. Partner deeply with cross functional teams. Whether it’s aligning with marketing on experimentation, enabling better personalization with data science, or integrating feedback from designers, you are proactive in surfacing insights and turning them into technical action. Drive quality through documentation. You record your decisions, communicate tradeoffs, and ensure others can build upon your work. Set clear expectations on delivery. We all understand that plans change. You focus on setting an accurate and achievable goal from the start, and then keeping close alignment with key partners when milestones shift.

Requirements

Proficiency in one or more modern programming languages, particularly Python or Java
Proven experience in architecting, deploying and maintaining distributed systems on cloud platforms such as AWS, GCP, or Azure, including hands-on work with serverless and event-driven architectures.
Fluency in modern SQL-based data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
Hands-on experience working with Python-based orchestration tools like Airflow or Dagster to build scalable, reliable data workflows.
A proven ability or desire to apply generative AI across the SDLC (from ideation and design to coding, testing, and release) to boost velocity and quality.
Strong communication skills; ability to clearly articulate technical concepts to both technical and non-technical audiences.
Demonstrated ability to collaborate effectively across cross-functional teams to deliver outcomes.

Responsibilities

Help cultivate a collaborative and safe environment. You can speak up to name problems, which will invite conversations that will then drive solutions.
Learn and innovate on the ways we can improve our system. You are able to hone in on gaps in quality, security, performance, and speed of execution and generate buy-in to raise those bars.
Partner deeply with cross functional teams. Whether it’s aligning with marketing on experimentation, enabling better personalization with data science, or integrating feedback from designers, you are proactive in surfacing insights and turning them into technical action.
Drive quality through documentation. You record your decisions, communicate tradeoffs, and ensure others can build upon your work.
Set clear expectations on delivery. We all understand that plans change. You focus on setting an accurate and achievable goal from the start, and then keeping close alignment with key partners when milestones shift.