Senior Software Engineer, Product & Data

The opportunity

Are you excited by the prospect of working at the intersection of product and data engineering? As a Senior Software Engineer, Product & Data, you’ll have a unique opportunity to design, build, and optimize core software systems that elevate the ngrok platform while partnering closely with our data engineering team. This role blends 60% product engineering and 40% data engineering, giving you the chance to make a broad impact across both areas.

You will join an amazing team of talented and motivated engineers with diverse backgrounds and experience who value collaboration, learning and improvement, trust and respect, and technical excellence. We believe in creating an environment where teammates enjoy working together, celebrate successes, and have fun solving interesting problems.

The architecture you’ll work on already serves millions of users worldwide, and your contributions will help shape its next evolution. It’s an exciting time to join the team as we continue making significant progress at a rapid pace. If you're eager to take on meaningful challenges and make a positive impact, we'd love to hear from you!

Check out how we built ngrok’s data platform here: https://ngrok.com/blog-post/how-we-built-ngroks-data-platform

You can expect to...

• Build and execute our roadmap for improving Cloud Edge functionality and the platform supporting it
• Collaborate closely with engineers, product teams, and stakeholders to understand requirements and deliver high-quality, scalable solutions.
• Participate in code reviews and provide constructive feedback to maintain the highest standard of code quality.
• Troubleshoot, debug, and resolve issues across the entire stack, and contribute to the on-call rotation to ensure system reliability.
• Advance technical progress, gaining buy-in across the organization and ensuring alignment on strategic initiatives.
• Build software designed for scalability, supporting large user bases and high-throughput systems.
• Mentor and support other engineers, fostering growth, knowledge sharing, and a collaborative culture within the organization.
• Partner with our data engineering team to build systems that support analytics, data streaming, and real-time observability.

You are a good fit if you...

• Have 5+ years of experience writing high-quality production software in Go or languages like Rust, C, Java, or C++.
• Experience in Python or Scala is a plus (ngrok is mostly Go, with some Rust and Typescript, and our data tooling is mostly Python and Scala).
• Are proficient in SQL and have experience working with real-time data distributed data processing systems and tools, such as Flink, Spark, Kafka, Kinesis, or similar tech stacks.
• Have worked on distributed systems at scale and possess depth in computer networking.
• Are comfortable navigating ambiguity, making trade-offs to deliver features today without compromising long-term quality, and driving innovation.
• Thrive in a collaborative, fully remote, distributed team environment and have experience working asynchronously.
• Can build alignment across stakeholders and collaborate cross-functionally at a senior level while fostering growth and opportunities for your colleagues.
• Are passionate about mentoring, supporting junior engineers, and contributing to a culture of continuous learning and improvement.
• Recognize that diversity in thought and background strengthens teams and actively support an inclusive culture.
• Learn from mistakes, adapt quickly, and maintain a forward-focused mindset.
• Have experience working in a startup environment.

Compensation

Tier 1 (SF, LA, Seattle, NYC): Minimum salary of $172,000 to maximum $215,000

Tier 2 (rest of US) : Minimum salary of $160,000 to maximum $198,000

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location.

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