Engineering Manager, Infrastructure

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October 22

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Apollo.io

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B2B • SaaS • Artificial Intelligence

Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Build and lead a world-class infrastructure team focused on reliability, scalability, and performance. • Report directly to the CTO, and partner closely with Product, Data, and AI Platform leaders to ensure the underlying systems enable fast, safe, and confident iteration. • Drive best-in-class engineering practices for production uptime, performance, CI/CD, observability, incident management, and cost optimization. • Foster a culture of excellence, ownership, and continuous improvement — where engineers are empowered to innovate and ship fearlessly. • Help define Apollo’s next-generation infrastructure strategy — from cloud architecture to developer experience and AI-driven automation.

🎯 Requirements

• 5+ years of hands-on software or infrastructure engineering experience. • 2+ years of experience leading teams of senior and staff-level engineers in platform, SRE, or infrastructure domains. • Proven ability to design and operate large-scale distributed systems in cloud environments (preferably GCP or AWS). • Expertise with Kubernetes, Docker, Terraform, Ubuntu, and CI/CD pipelines. • Familiarity with observability tools (Grafana, Prometheus, ELK, Datadog, NewRelic) and performance tuning. • Strong grounding in networking, security, and reliability principles. • Experience managing infrastructure costs, availability SLAs, and high-throughput systems at scale. • Bonus: Experience with AI/ML infrastructure, data pipelines, MongoDB, Ruby on Rails, Ansible, or ElasticSearch

🏖️ Benefits

• equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year • flex PTO and parental leave • employee assistance program and wellbeing benefits • global travel coverage • life/AD&D/STD/LTD insurance • FSA/HSA and medical, dental, and vision benefits