We’re looking for an experienced Engineering Manager – Platform & Infrastructure to lead a cross‑functional team responsible for the core components of our ad platform—ranging from backend auction systems and developer infrastructure to CI/CD tooling and cloud architecture. This role is ideal for someone who thrives in high‑scale environments, leads with clarity and empathy, and loves working across disciplines to bring architectural vision to life.
You’ll manage backend, infrastructure, data, and frontend engineers—building scalable, real‑time services in Go, Python, and Rust. You’ll also oversee the reliability and evolution of our core APIs, auction systems, and internal tooling that powers all Topsort engineering.
Key responsibilities:
- Lead and mentor a high‑performing team of engineers across backend, platform, and infrastructure
- Own the development of core systems like the Auction Engine, Information APIs, and developer tools
- Define and drive the technical roadmap for cloud infrastructure (GCP), CI/CD, monitoring, and platform scalability
- Guide backend architecture decisions involving distributed systems, microservices, and high‑throughput environments
- Collaborate closely with product, design, and other engineering managers to ensure smooth planning and execution
- Champion engineering excellence: thoughtful system design, scalable abstractions, automation, and observability
- Lead incident response, root cause analysis, and long‑term reliability planning
- Foster a strong team culture that prioritizes ownership, speed, and continuous improvement
Requirements:
- 8+ years of software engineering experience, including 3+ years managing or leading engineering teams
- Deep understanding of distributed systems and backend architecture in cloud‑native environments
- Hands‑on experience with Go, Python, or Rust in production systems
- Experience building and maintaining platform components like APIs, CI/CD pipelines, and internal tooling
- Familiarity with Kubernetes, Terraform, GitHub Actions, and modern observability stacks
- Experience managing performance, scale, and reliability in production systems
- Excellent communication skills and experience working in fast‑paced, remote‑first environments
Nice to have:
- Previous experience in ad tech, auction systems, or financial tech
- Exposure to real‑time data pipelines, streaming frameworks (Kafka, Flink, etc.)
- Familiarity with developer platform practices (service catalogs, GitOps, IDPs)
- Passion for mentoring engineers and cultivating inclusive team environments