Staff Platform Engineer

If you’re good at what you do, you can work anywhere. If you’re the best at what you do, come work for Doma Technology.

About Us  

Doma Technology LLC offers solutions for lenders, real estate professionals, title agents, and homeowners that make closings vastly simpler and more efficient, reducing cost and increasing customer satisfaction.

Our Values

• Obsessively Entrepreneurial - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way.
• People First - We communicate with honesty and respect to our customers, colleagues, and partners.
• Better Together - We believe diversity, equity and inclusion creates value through the differences in our backgrounds, experiences, and perspectives.
• Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices.

We're seeking an exceptional Staff Platform Engineer to serve as a technical leader in designing and building the next generation of our platform infrastructure. In this high-impact role, you'll architect scalable, reliable systems that empower engineering teams to ship faster and confidently. You'll work at the intersection of data, infrastructure, automation, observability, developer experience laying out the foundations that enable our products to be fully automated, resilient and highly available. This position is ideal for someone who thrives on creating innovative solutions that drive faster delivery of high-quality products, providing improved solutions for end-user to understand how their products are performing, and exploring new and unique tools for end-users to build better. 

Key Responsibilities 

• Design and Architect Platform Services: Lead the technical design and implementation of core platform services and automation frameworks, including Infrastructure as Code (IaC) modules, CI/CD pipelines, and self-service tooling that enables engineering teams to deploy with confidence and speed. 
• Drive Operational Excellence: Build and operationalize comprehensive monitoring, alerting, and observability solutions across the organization. Establish SLOs/SLIs and implement systems to ensure platform reliability, performance, and availability at scale. 
• Technical Leadership & Mentorship: Serve as the hands-on technical leader and subject matter expert, mentoring engineers across multiple teams on best practices for building scalable, resilient, cloud-native systems. Define and enforce architectural standards, coding practices, and operational excellence principles. 
• Cross-Functional Collaboration: Partner with data engineering, SRE, security, and software teams to support and scale products. 
• Build for Scale & Reliability: Architect and implement platform components that handle significant technical and organizational scale, supporting high-throughput systems with minimal latency and maximum reliability. Drive initiatives toward event-based architectures and distributed systems patterns. 
• Innovation & Continuous Improvement: Identify opportunities to improve developer productivity, reduce operational toil, and increase system reliability. Stay current with industry trends and emerging technologies, bringing forward innovative solutions that advance our platform capabilities. 

Required Qualifications 

• 8+ years of professional experience in data engineering, platform engineering, infrastructure engineering, Site Reliability Engineering (SRE), or DevOps roles, with a proven track record operating at the Staff or Principal IC level 
• Extensive experience building and operating large-scale, distributed systems in production environments 
• Deep expertise in Infrastructure as Code (IaC), particularly large-scale usage of Terraform, CloudFormation, Pulumi, or another IaC framework. 
• Expert-level knowledge of container orchestration technologies (Kubernetes, Docker) and cloud-native application deployment patterns 
• Strong experience with CI/CD practices and tooling (e.g., GitLab CI, GitHub Actions, Jenkins, ArgoCD) and experience building self-service pipelines for engineering teams 
• Proficiency in system programming languages (Python, Go, or similar) used for building internal tooling, automation APIs, and platform services 
• Proven experience designing and maintaining production observability systems (Prometheus, Grafana, ELK stack, Datadog, or similar) 
• Experience building scalable services on top of public cloud infrastructure (AWS, Azure, or GCP) with extensive use of m