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. 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.
🏢 About Doma Technology
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, with a focus on maintaining high system uptime. In this high-impact role, you'll design and build 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 Platform Services: Using AI-assisted engineering to design, implement and operate 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 Excellence: Serve as the hands-on technical and subject matter expert, promote best practices for building scalable, resilient, cloud-native systems, apply 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: Design and implement platform components that handle significant technical and organizational scale, supporting high-throughput systems with minimal latency and maximum reliability. Modernize existing systems using advanced AI techniques.
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
5+ 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 Senior IC level
Extensive experience building and operating large-scale, distributed systems in production environments
Hands-on experience implementing AI solutions to modernize platform infrastructure, with appropriate governance and guardrails.
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)
Strong understanding of networking, security, and systems architecture in cloud environments
Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)
⭐ Desirable Experience
Experience working with AI/ML platforms, frameworks, and APIs, including deploying and scaling ML models
Hands-on experience with GitOps workflows and tools (Flux, ArgoCD)
Familiarity with security scanning tools for container images, Infrastructure as Code, and runtime security
Knowledge of FinOps practices and cloud cost optimization strategies
Experience building developer platforms or internal platform-as-a-service (PaaS) offerings
Experience working in fast-paced, high-growth environments with rapidly changing requirements
Track record of shipping impactful infrastructure projects that measurably improved developer productivity or system reliability
🎁 Benefits
Work/Life Balance - We encourage taking Paid Time Off (PTO)!
12 Weeks of Paid Family Bonding Leave (Maternity and Paternity)
Incredible medical, dental, and vision benefits options to allow you to customize to you and your family’s needs that all start in the following month following your first day of employment
Health Savings Account (HSA)
401K with company match program
Short-Term & Long-Term Disability
Supplemental Life and AD&D Insurance
Critical Illness, Injury and Hospital Insurance
🛂 Visa & Eligibility
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
