Senior Platform Engineer - Doma

About Doma

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.

The Role

We're seeking an exceptional Senior Platform Engineer to serve as a technical lead in designing and building the next generation of our platform infrastructure. You will design and build scalable, reliable systems that empower engineering teams to ship faster and confidently, working at the intersection of data, infrastructure, automation, observability, and developer experience.

Key Responsibilities

• Design Platform Services: Use AI-assisted engineering to design and operate core platform services, IaC modules, and CI/CD pipelines.
• Drive Operational Excellence: Build comprehensive monitoring, alerting, and observability solutions. Establish SLOs/SLIs to ensure platform reliability.
• Technical Leadership: Serve as a subject matter expert, promoting best practices for scalable, resilient, cloud-native systems.
• Cross-Functional Collaboration: Partner with data engineering, SRE, security, and software teams.
• Build for Scale: Design components that handle high-throughput systems with minimal latency.
• Innovation: Identify opportunities to reduce operational toil and modernize systems using advanced AI techniques.

Required Qualifications

• 5+ years of professional experience in platform, infrastructure, SRE, or DevOps roles at the Senior IC level.
• Extensive experience building large-scale, distributed systems in production.
• Hands-on experience implementing AI solutions for infrastructure modernization.
• Deep expertise in IaC (Terraform, CloudFormation, or Pulumi).
• Expert-level knowledge of container orchestration (Kubernetes, Docker).
• Strong experience with CI/CD practices (GitLab CI, GitHub Actions, ArgoCD).
• Proficiency in Python, Go, or similar system programming languages.
• Proven experience with observability stacks (Prometheus, Grafana, ELK, Datadog).
• Bachelor's degree in Computer Science or equivalent experience.

Preferred Qualifications

• Experience with AI/ML platforms and model deployment.
• Familiarity with GitOps workflows (Flux, ArgoCD).
• Knowledge of FinOps and cloud cost optimization.
• Experience building internal PaaS offerings.

Benefits

• Comprehensive medical, dental, and vision insurance.
• 401(k) with company match.
• Generous Paid Time Off (PTO).
• 12 weeks of paid family bonding leave.
• Short-term/Long-term disability and life insurance.