Sr. Software Development Engineer
Senior software engineer at iSpot.tv, a TV ad measurement company, owning mission-critical big-data domains that process massive media metadata streams on AWS. Day to day: architecture and code reviews, CI/CD and platform engineering, cost optimization, and mentoring, with an 'AI-native' expectation of using and championing AI coding tools (Java, Spring Boot, MySQL, RabbitMQ, Kubernetes).
- Compensation
- $140.2K–$179.4K / yr
- Location
- Bellevue, WA
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Part time
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Significant experience developing software for shareable features across multiple engineering projects
- Experience leading small-to-mid-sized technical initiatives
- Proven ability to make high-level architectural decisions, including redesigning legacy services for reliability and operability
- Hands-on experience with Platform Engineering principles (internal developer experience, infrastructure abstraction, self-service capabilities)
- Expert knowledge of AWS (S3, Lambda, EC2, IAM)
- Java, Spring Boot, MySQL, RabbitMQ (or similar message broker), Kubernetes/EKS, Docker, CI/CD pipelines
- Experience using AI coding assistants and LLMs (e.g., Kiro, Gemini, Copilot, Cursor, Claude Code)
- Strong communication skills with ability to tailor messaging to different audiences
- Excellent problem-solving and analytical skills
- Industry best practices for high-availability API design and streamlining complex database operations
Nice to have
- Experience with Infrastructure as Code (Terraform) and CI/CD concepts (CircleCI)
- Track record of identifying trends in incidents and introducing broad solutions to address them
Full 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. As a Senior SDE, you are a foundational pillar of our engineering team. You don’t just write code; you own entire domains, drive scalable solutions, and act as a “go-to” expert.
We are currently looking for an AI-native engineer – someone who views AI not as a novelty, but as a core component of their development lifecycle – to help lead our mission-critical data evolution and contribute to the vision of Creative Audience and Outcomes Pillar.
Responsibilities:Technical Excellence & Domain Ownership
- Coding & Debugging: Design domains with testability and multiple teams in mind, creating extensible and shareable codebases. Provide prescriptive code reviews that suggest more acceptable code patterns and contribute to company-wide style guidelines.
- Quality & Release: Maintain a high standard of quality, setting the example for the team. Develop the architecture for our automation systems and expertly debug complex issues within the CI/CD pipeline. Implement secure deployment strategies, especially for large-scale, high-risk projects.
AI-Driven Productivity & Innovation
- AI-First Mindset: Be “AI-native.” Actively explore and learn about AI technologies that enhance the efficiency of the entire team’s work.
- Leading Adoption: Don’t just use AI; “create space” for teammates to improve their AI tooling through pairing, providing demos, and writing documentation.
- Creative Problem Solving: Act as a pioneer in critical technologies, bringing creative solutions to complex, large-scale projects and ensuring your contributions can be extended far into the future.
Operational Excellence & Data Strategy
- Data-Driven RCA: Propose and implement viable domain measurement solutions. Play a lead role in researching external solutions and leading root cause analysis (RCA) for complex, multi-domain incidents.
- Operational Efficiency & Toil Reduction: Proactively improve the current state of operations by identifying and reducing toil. Apply a “Platform Engineering” mindset to automate repetitive manual tasks, ensuring the team remains focused on high-value engineering.