Platform Engineer

Doma Technology Llc
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$160,000 - $190,000
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Configuration Management Computer Networks Databases Continuous Integration Information Engineering
+59 more
Data Stores DevOps Distributed Systems Domain Name System (DNS) Amazon DynamoDB Elasticsearch Github Monitoring of Systems JSON Python (Programming Language) Key Management Network Security PostgreSQL Machine Learning Memcached MongoDB MySQL Octopus Deploy Package Management Systems RabbitMQ Redis Reliability Engineering Logstash Ansible Prometheus Azure Machine Learning Software Deployment Spinnaker Systems Architecture System Programming YAML Datadog Circleci SSL Certificate Management Pulumi Scripting Google Cloud Load Balancing Cloud Platform System Fluentd Grafana Kubernetes Helm Charts Reliability of Systems Infrastructure as Code (IaC) Cloudformation Gitlab-ci Kubernetes Information Technology Cassandra Puppet Kibana Terraform Dynatrace Docker Pagerduty Elk Stack Jenkins Vulnerability Analysis Artifactory

Job description

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., * 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., * Terraform (required)
  • CloudFormation, Pulumi, or Crossplane
  • Configuration management (Ansible, Chef, Puppet)

CI/CD & GitOps:

  • CircleCI, GitHub Actions, GitLab CI, 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)

Requirements

  • 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
  • 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 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

Technical Skills/Stack

Cloud Platforms:

  • Azure (Preferred), AWS, or Google Cloud Platform (GCP)
  • Deep knowledge of compute, networking, storage, and managed services
  • Kubernetes (AKS, EKS, GKE, or self-managed)
  • Docker, containerd
  • Helm charts and package management

Benefits & conditions

This job is also eligible for the following compensation components: Bonus & Equity The base salary range for this role is shown below: $160,000-$190,000 USD

How we’ll value you and make your life a bit easier:

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.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

We believe the most valuable investment we can make is to build an outstanding team of colleagues and leaders who are passionate about our mission.

We currently offer the following benefits to all Full-Time employees:

  • 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

About the company

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.

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