Software Engineer, Infrastructure

Job not on LinkedIn

September 10

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Qualified

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AI • B2B • SaaS

Qualified is a platform that provides AI-driven solutions to enhance inbound pipeline generation and sales engagement. The company offers a range of AI-powered tools such as the AI Sales Development Representative (SDR), AI Conversations, AI Email for lead follow-ups, AI Meetings, AI Offers for personalized marketing, and AI Signals for understanding account-based buying intent. These solutions are designed to automate and optimize website visitor engagement and conversion, integrating with tools like Salesforce for a seamless experience. Qualified is focused on leveraging AI to maximize sales efficiency and improve the overall marketing and sales process for B2B companies.

51 - 200 employees

🤝 B2B

☁️ SaaS

💰 $95M Series C on 2022-04

📋 Description

• Lead the design and implementation of secure, fault-tolerant, and robust cloud infrastructure on public cloud services. • Contribute directly through hands-on coding to develop innovative software tools and implement streamlined automation processes. • Plan and execute timely launches of infrastructure upgrades and changes to enable faster execution, improved scale, and increased cost efficiency. • Evolve Continuous Integration and Deployment in a multi-service environment, reducing complexity and increasing resilience. • Leverage DataDog, Sentry, and other tools to monitor system infrastructure and configuration for disruption, anomalies, or evidence of intrusion. • Define, promote, and maintain runbooks and operating procedures; create and maintain system and architecture diagrams and documentation. • Mentor and support the development team, acting as a force multiplier and aiding their growth and productivity. • Embrace a startup culture: be adaptable, comfortable with ambiguity, and capable of wearing multiple hats.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field. • 3+ years of experience in software development in one or more programming languages like Go, Python, Ruby or Java. • 1+ years of experience in cloud platforms, infrastructure, and DevOps. • Deep experience architecting solutions on cloud-based infrastructure. • Experience in architecting secure networks in public clouds. • Delivered and refined CI/CD pipelines. • Experience with Linux. • Experience in automated provisioning using infrastructure-as-code, such as CDK, Cloudformation, Terraform, or Pulumi. • Automated deployments using container orchestration technologies such as Kubernetes, AWS EC2 Container Service, or Docker. • Strong experience with monitoring and logging tools such as DataDog, Prometheus, Grafana, or ELK. • Database management experience a plus, especially with PostgreSQL or ClickHouse.