Staff Platform Engineer, Doma

• 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
• 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 managed services, databases (RDBMS, NoSQL, key-value stores), and distributed systems
• Strong understanding of networking, security, and systems architecture in cloud environments
• Excellent communication and documentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders and write clear architectural decision records (ADRs)
• Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)
• AWS, Azure, or Google Cloud Platform (GCP)
• Deep knowledge of compute, networking, storage, and managed services
• Container & Orchestration:
• Kubernetes (EKS, AKS, GKE, or self-managed)
• Docker, containerd
• Helm charts and package management
• Infrastructure as Code:
• Terraform (required)
• CloudFormation, Pulumi, or Crossplane
• Configuration management (Ansible, Chef, Puppet)
• CI/CD & GitOps:
• GitHub Actions, GitLab CI, CircleCI, or Jenkins
• ArgoCD, Flux, or Spinnaker
• Artifact management (Artifactory, ECR, Harbor)
• Observability & Monitoring:
• Prometheus & Grafana
• ELK/EFK Stack (Elasticsearch, Logstash/Fluentd, Kibana)
• Distributed tracing (Jaeger, Tempo, Datadog APM)
• Alerting and incident management (PagerDuty, Opsgenie)
• Programming & Scripting:
• Python, Go, or Rust
• Bash/Shell scripting
• YAML, JSON, HCL
• Databases & Data Stores:
• PostgreSQL, MySQL
• Redis, RabbitMQ, Memcached
• DynamoDB, MongoDB, Cassandra
• Networking & Security:
• Load balancers and ingress controllers
• DNS, CDN, and edge networking
• TLS/SSL certificate management
• Network policies and security groups
• Secret management (Vault, AWS Secrets Manager, Azure Key Vault)

Desirable

• 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
• 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
• Drive architectural decisions with organization-wide impact
• Design systems and abstractions that enable teams to move faster while maintaining quality and reliability
• Lead technical initiatives from conception through delivery, navigating ambiguity and making principled trade-offs
• Serve as the go-to expert for platform architecture, consulted by teams across the engineering organization
• Influence platform strategy and technical roadmap across multiple teams and organizations
• Identify and drive initiatives that unblock or accelerate work for multiple engineering teams
• Partner with engineering leadership to align platform investments with business objectives
• Build consensus across diverse stakeholders and drive adoption of platform standards
• Mentor and level up engineers at various levels, from junior to senior
• Conduct design reviews and provide constructive technical feedback
• Share knowledge through documentation, tech talks, and pairing sessions
• Foster a culture of operational excellence, best practices, and continuous learning
• Anticipate future technical needs based on business growth and scale requirements
• Evaluate emerging technologies and make recommendations on adoption
• Balance short-term execution with long-term architectural vision
• Contribute to engineering-wide technical strategy and platform vision