Software Development Engineer 2
iSpot
| Company | iSpot |
| Category | Engineering |
| Location | Bellevue |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 29 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You'll Be Part Of :
At iSpot.tv, we deal with BIG data , operating in a high-scale AWS environment with thousands of servers processing massive streams of media metadata. Our Publisher Team within the Creative, Audience, and Outcomes (CAO) pillar is where AI meets measurement at scale: rethinking how publishers understand their audiences, how outcomes are attributed, and how data pipelines power our industry -leading measurement platform.
As an SDE 2 on this team, you've moved past foundational learning and are a competent, independent contributor who owns meaningful parts of our system. You'll ship production services end-to-end, make architectural calls within your scope, and help raise the bar for how the team builds with AI as a first-class development partner. This is a strong fit for engineers who want real ownership, work alongside AI specialists and senior engineers solving novel problems, and operate in an environment where AI is a genuine teammate in the development loop.
Your Impact
1. Technical Excellence & Domain Ownership
• Feature Ownership: You own features end-to-end—design , build, ship, and iterate on AI-driven capabilities across data pipelines, APIs, and agent workflows, from technical design through production rollout.
• Coding & Debugging: You are competent in programming and debugging across multiple components and environments. You write high-quality code that includes monitoring, metrics, and logging as standard practice.
• Scoped Technical Decisions: You choose the right tradeoffs on services and components you own. You bring proposals and prototypes to design discussions rather than waiting for direction.
• Testing & Quality: You author and own the testing plan for your features, considering product requirements and edge cases. You perform unit, component, integration, and E2E testing and can differentiate between application bugs and environment issues.
• Code Reviews: You actively participate in code reviews, following team guidelines and best practices to ensure the collective codebase remains healthy, maintainable, and sets the standard for the next engineer who touches it.
2. AI-Driven Productivity & Efficiency
• AI-First Workflow: You independently use AI tools (e.g., Kiro, Copilot, Gemini, Cursor) to improve the speed and quality of your work. This includes using AI for code understanding, self-code reviews, and ramping up quickly in new domains or languages.
• C ritical Evaluation: You don't blindly accept AI-generated output. You critically evaluate it for correctness, security, and alignment with iSpot standards before relying on it.
• Team Uplift: You help the team get better at working with AI—share patterns that work, flag the ones that don't, and identify enhancements that automate repetitive tasks so you can focus on solving complex problems.
3. Operational Excellence & Data Strategy
• Production Reliability: You monitor performance, scalability, and cost of the services you build. You respond when things break and participat
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