Staff Platform Engineer

Doma Technology LLCSan Francisco, CA, United States

4 days ago

Job type

Full-time

Job description

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.

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.

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 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).

Preferred Qualifications

Experience working with AI / ML platforms, frameworks, and APIs, including deploying and scaling large models.

Hands‑on experience with GitOps workflows and tools (Flux, ArgoCD).

Background in event‑driven architectures and streaming platforms (Kafka, Kinesis, Pulsar).

Experience with service mesh technologies (Istio, Linkerd, Consul).

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.

Contributions to open‑source projects, particularly in the infrastructure, Kubernetes, or platform engineering space.

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.

Technical Skills / Stack

Cloud Platforms

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)

Staff Engineer Leadership Expectations

Technical Leadership

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

Cross‑Team Impact

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

Mentorship Responsibilities

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

Strategic Thinking

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

Compensation & Benefits

We offer a comprehensive package of benefits to eligible employees (FTE, non‑contract) : medical / dental / vision insurance, 401(k), generous vacation time, and paid bonding leave.

Salary range : $132,100 USD – $236,300 USD . The range may be modified in the future. At Doma, compensation decisions are dependent on facts and circumstances.

Other compensation components include Bonus & Equity.

Equal Opportunity

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.

Job Location

San Francisco, CA

Seniority Level

Director

Employment Type

Contract

Industries

Hospitals and Health Care, Wellness and Fitness Services, and Technology, Information and Internet

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