6 дней назад
Engineering Manager – Backend & Infrastructure (AI Posture)
197 200 - 319 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Engineering Manager – Backend & Infrastructure (AI Posture) (Go/Microservices/Cybersecurity): Leading a backend team building and operating high-throughput, low-latency Go microservices for AI posture capabilities with an accent on infrastructure efficiency, cloud resources, and AI-assisted engineering. Focus on optimizing concurrency, memory usage, observability, deployment pipelines, and cross-functional delivery across Product, Security, SRE, and Platform teams.
Location: Santa Clara, California, United States of America; primarily office-based
Salary: $197,200–$319,000 per year, with potential bonus and restricted stock units
Company
operates in the cybersecurity industry and develops technology to protect digital environments.
What you will do
- Lead, mentor, and grow a backend engineering team of 8–10 engineers.
- Drive adoption of AI tooling, automated testing, profiling, and modern engineering practices.
- Lead the design and optimization of high-throughput, low-latency Go microservices.
- Partner with Infrastructure and Platform teams to optimize memory usage, compute density, cloud resources, cost, and latency.
- Align technical priorities and multi-quarter roadmaps with Product Management, Security, and SRE.
- Drive production readiness through deployment pipelines, telemetry, tracing, performance tuning, and incident response.
Requirements
- 5–7 years of experience managing software engineering teams working with distributed backend systems.
- 8+ years of hands-on software engineering experience with strong systems-level expertise in Go and concurrent programming.
- Experience designing, building, and operating high-concurrency microservices at scale.
- Deep understanding of infrastructure layers, Kubernetes, Docker, and at least one major cloud platform: GCP, AWS, or Azure.
- Experience mentoring engineers and building inclusive, high-trust teams.
- Practical experience using AI tools to improve engineering productivity.
Nice to have
- Experience with network discovery, traffic analysis, packet processing, or network protocol engineering.
- Experience with Kafka, gRPC, BigQuery, Redis, or MongoDB.
- Experience in cybersecurity, threat intelligence, cloud security posture management, or AI risk vectors.
Culture & Benefits
- Empathy-first leadership, psychological safety, trust, inclusion, and continuous growth.
- Collaboration with Product, Security, SRE, Infrastructure, and Platform teams.
- Base compensation may include a bonus and restricted stock units.
- Immigration sponsorship is available.
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