DevOps Engineer

🕒 June 24

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Knock

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔌 API

☁️ SaaS

🏢 Enterprise

API • SaaS • Enterprise

Knock is a powerful and flexible notifications infrastructure platform designed to help developers integrate and manage notifications in their applications. Built for scalability, Knock provides APIs to engage users, facilitate cross-channel workflows, and manage notification preferences without the need for custom infrastructure. The platform offers comprehensive SDKs, intuitive documentation, and a unified API for integrating various notification channels including email, push, SMS, and Slack. Knock is designed to save engineering teams time and effort by handling complex notification logic, allowing developers to focus on their core products. It is SOC2 Type 2 certified and compliant with GDPR and HIPAA, ensuring high security standards for customer data. Knock's infrastructure supports high volume notifications ensuring reliability and performance for enterprise-scale businesses. Whether it’s in-app notifications or cross-channel systems, Knock provides the tools necessary for a seamless notification experience.

📋 Description

• Adopting a Terraform-backed EKS cluster, modernizing & maintaining it for elastic scale, reliability, performance, security, etc. • Going deep into troubleshooting Postgres performance, queues of every shape and size. • Identifying and correcting scaling issues before they affect our customers. • Maintaining and improving upon our >99.95% uptime track record. • Supporting our product engineering team at moving fast to deliver customer value. • Joining on-call rotations on a schedule with the rest of the engineering team.

🎯 Requirements

• 4+ years experience as a DevOps engineer or similar in a startup or mid-sized company working with complex systems that operate at scale. • Experience working in and on production Kubernetes clusters using infrastructure as code. • Experience working on complex AWS deployments. • Experience operating and scaling different database technologies. • Some past experience or familiarity operating and scaling different queues and streams across SQS, Kinesis, Kafka or similar. • Strong problem-solving skills with a focus on reliability, scalability, and performance. • Strong communications skills, with the ability to work in a fully distributed, remote-first team.

🏖️ Benefits

• We care deeply about building a team and culture that is inclusive and equitable for people of all backgrounds and experiences. • We particularly encourage people from underrepresented communities to apply.