Jobs in the United States

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Professional Engineer 1 (Civil/Transportation) NY Helps
Transportation, Department of
Albany, NY
- $102,406 to $127,439 USD / year
Promotional: You must have a New York State Professional Engine
Added just now
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Professional Engineer 1 (Civil/Transportation) NY Helps
Transportation, Department of
Albany, NY
- $102,406 to $127,439 USD / year
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Transportation, Department of
Albany, NY
- $69,964 to $105,354 USD / year
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Engineer Trainee/Assistant Engineer (Civil) NY HELPS
Transportation, Department of
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- $69,964 to $105,354 USD / year
Propose, implement and grow Transportation Systems Management and Operations to advance the Department’s Performance and Innovation goals including non-intrusive detection, traffic signal…
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Doma Technology LLC

Senior Platform Engineer

Remote, United States

$160,000 - $190,000 USD

Apply on job-boards.greenhouse.io About employer

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Job details

Pay: $160,000 - $190,000 USD
Posting language: English
Posted: Nov 12, 2026

Original job description

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.

About Us

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.

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
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

Infrastructure as Code:

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)

Shown below is the lowest to highest base salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the base salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Doma, compensation decisions are dependent on the facts and circumstances of each case.

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

We believe in 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.

Apply on job-boards.greenhouse.io About employer

More about this job

Skills

Data engineering
Infrastructure as code
IBM Terraform
Kubernetes
Docker
CI/CD
GitLab
GitHub
Jenkins
Programming languages
Python
Go
Prometheus
Grafana
Datadog
Communication skills
Documentation
Computer science
ML
Microsoft Azure
AWS
Google Cloud
Ansible
Puppet
Elasticsearch
Rust
Bash
PostgreSQL
MySQL
Redis
RabbitMQ
Amazon DynamoDB
MongoDB
Apache Cassandra
DNS
Sales

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Jobs in the United States