iSpot is a leading company in the media measurement industry, operating in a high-scale AWS environment. They are seeking a Software Development Engineer 2 to own and drive the development of AI-driven features across data pipelines and APIs, while collaborating with AI specialists and senior engineers.
Responsibilities:
- 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
- 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
- You choose the right tradeoffs on services and components you own
- You bring proposals and prototypes to design discussions rather than waiting for direction
- 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
- 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
- You independently use AI tools (e.g., Kiro, Copilot, Gemini, Cursor) to improve the speed and quality of your work
- You critically evaluate AI-generated output for correctness, security, and alignment with iSpot standards before relying on it
- 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
- You monitor performance, scalability, and cost of the services you build
- You respond when things break and participate in the on-call rotation
- You promptly investigate test failures and production alerts
- You are developing the ability to perform Root Cause Analysis (RCA) with limited guidance and contribute to improving system resilience
- You move fast on prototypes—taking MVPs from idea to validated learning quickly—and know when to harden versus when to throw away
- You engage with DORA metrics, AI adoption, and PR cycle time as a lean operating model, not as reporting overhead
- You contribute to CI/CD pipelines with human-in-the-loop checks where they matter, driving quality through the full software lifecycle
- You complete most assignments independently with little to no supervision, knowing exactly when and how to escalate issues to your manager or senior leads
- You help onboard and train new team members and are proactive in building trust through excellent follow-through and integrity
- You communicate clearly and concisely, sharing opportunities to improve deliverables or work processes
Requirements:
- 3–5 years of professional software engineering experience building and operating production systems
- Strong programming depth in at least one of Java, Python, TypeScript, or Go—and comfort picking up another quickly
- A track record of owning non-trivial features or services in a production environment, including the operational side
- Solid understanding of AWS (S3, Lambda, EC2) and containerization (Docker)
- Java, MySQL, Git, CI/CD pipelines, REST API design
- Demonstrated ability to use LLMs and AI coding assistants to accelerate your development lifecycle
- Strong communication skills with the ability to tailor messaging to different audiences
- Excellent problem-solving and analytical skills with a bias for action
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- Knowledge of Infrastructure as Code (Terraform) and CI/CD tooling (CircleCI)
- Experience in Ad-Tech or high-throughput 'Big Data' processing environments
- A genuine interest in automation, experimentation, and where AI tooling is headed