Senior Platform Engineer

Engineering /
Full-Time /
Remote is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities.’s unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, IBM Red Hat, Snowflake, Zoom, and Palo Alto Networks rely on their enterprise-ready, patented AI technology. 

At, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own. 

Senior Platform Engineer will be responsible for designing, implementing, and operating reliable, scalable, and secure platforms that support our critical business processes and applications. Work closely with cross-functional teams to ensure smooth operations, troubleshoot complex issues, and drive continuous improvement through automation and innovation.


    • Lead the design and implementation of highly available and scalable platform components, including containerization, orchestration, CI/CD pipelines, and infrastructure as code (IaC).
    • Review engineering designs with an eye for scalability, availability and security.
    • Build and automate deployment workflows for platform components.
    • Develop and implement monitoring and alerting systems to ensure platform health and performance.
    • Proactively troubleshoot and resolve platform issues, minimizing downtime and impact on business operations. Manage server infrastructure, including provisioning, configuration, and patching.
    • Develop and implement automation scripts and tools to streamline platform operations and tasks.
    • Identify opportunities for automation and propose solutions to improve efficiency and scalability.
    • Contribute to the development and maintenance of internal platform tooling.
    • Collaborate effectively with engineers, security team, IT and other stakeholders to understand their needs and provide technical expertise.


    • 5+ years of experience
    • Strong understanding of one of the cloud platforms (AWS, Azure, GCP) and related services.
    • Deep understanding of AWS networking, including VPCs, subnets, security groups, routing, and network access control.
    • Proven experience with infrastructure as code (Terraform, Ansible, Packer).
    • Proven expertise in containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
    • Strong proficiency in scripting languages and experience with infrastructure automation tools.
    • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
    • Experience with monitoring and alerting tools (Prometheus, Grafana, Splunk, etc.).