Software Engineer, Streaming Data Infrastructure

We're looking for a Staff Software Engineer to join Procore's Product & Technology Team. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative, top-rated global platform. We're a customer-centric group that encompasses engineering, product, product design and data, security and business systems.

In this role, you'll provide technical leadership to our operations team while collaborating with engineering teams, product managers, and architects to design, build, and manage Procore's streaming data platform. You'll lead strategic initiatives, mentor team members, and drive operational excellence across our infrastructure. As a technical leader, you'll play a crucial role in setting architectural direction and ensuring the platform's reliability, scalability, and performance.

This role reports to a Senior Engineering Manager and will be based in our Austin, TX office.
This position requires US citizenship to work on FedRAMP-compliant projects. Candidates must be eligible to work on federal government projects requiring FedRAMP authorization.

• Lead and mentor the operations team, providing technical guidance, establishing best practices, and fostering a culture of operational excellence and continuous improvement.

• Drive strategic initiatives to define and execute the technical roadmap for Procore's streaming data infrastructure, with a strong focus on Kafka and its ecosystem, including FedRAMP compliance requirements.

• Architect and design highly scalable and resilient streaming data infrastructure solutions, leading the development of automation frameworks, infrastructure-as-code (IaC), and self-service tooling.

• Partner with engineering leadership to align infrastructure strategy with product goals, optimize streaming data pipelines for performance, reliability, and cost-efficiency.

• Establish and enforce monitoring, alerting, logging, and observability standards for the streaming data platform to ensure proactive issue detection and rapid resolution.

• Drive system design reviews and provide technical mentorship through code reviews, architectural guidance, and troubleshooting of complex production issues across the organization.

• Lead incident response efforts and participate in on-call rotations, while building systems and processes that reduce operational burden and improve platform stability.

• Champion innovation and build strong partnerships with engineering teams to deliver a world-class, self-service streaming data platform with exceptional developer experience.

• 8+ years of professional experience in Dev Ops, Site Reliability Engineering (SRE), or similar infrastructure-focused roles, with demonstrated experience leading and mentoring operations or infrastructure teams.

• Expert-level knowledge of streaming data platforms, particularly Kafka, including architecture design, administration, performance tuning, troubleshooting, and capacity planning at scale.

• US Citizenship required to support FedRAMP-compliant projects and federal government customers. Experience with compliance frameworks such as FedRAMP, SOC 2, or similar regulatory requirements is highly valued.

• Exceptional communication and leadership skills with the ability to influence stakeholders at all levels, drive technical direction, facilitate discussions, and build consensus across teams.

• Demonstrated expertise leveraging AI-powered development tools (e.g., Git Hub Copilot, ChatGPT, AI-driven observability) to enhance team efficiency and engineering productivity.

• Deep expertise in cloud platforms (AWS, Azure, or GCP), including advanced understanding of compute, storage, networking, security, compliance, and managed service offerings.

• Mastery of infrastructure-as-code (IaC) tools (e.g., Terraform, Ansible) and container orchestration (e.g., Docker, Kubernetes) with experience implementing platform engineering solutions.

• Strong software engineering skills in modern programming languages (e.g., Python, Java, Go) for building automation, tooling, and internal platforms that enable team success.