Dev-Ops Engineer

AI workforce for the mortgage industry

What You Will Do

• Design, deploy, and maintain AWS infrastructure, including VPCs, Lambda, RDS, S3, and IAM, using Infrastructure-as-Code tools such as Terraform or CloudFormation
• Build and optimize CI/CD workflows in GitHub Actions for both backend services and frontend deployments
• Manage containerized (ECS/Fargate) and serverless (Lambda) deployments with zero-downtime release strategies
• Implement production-grade monitoring, logging, and alerting with CloudWatch, Prometheus, ELK, or similar tools
• Automate infrastructure tasks, feature flagging, and infrastructure provisioning
• Ensure cloud security best practices across IAM, network segmentation, and secrets management using SSM or Secrets Manager
• Support data pipelines and analytics infrastructure, including ETL jobs, Snowflake, and dbt workflows
• Collaborate with engineering, data, and QA teams using Notion and Linear to deliver smooth, reliable releases
  

Requirements

• 4+ years of experience in DevOps, SRE, or similar roles
• Proficient in AWS with strong Infrastructure-as-Code experience (Terraform preferred)
• Strong CI/CD expertise with GitHub Actions
• Experience with containerization and serverless architectures
• Skilled in monitoring, logging, and incident management
• Strong scripting and automation skills in Bash, Python, or Node.js
• Knowledge of cloud security principles, least privilege, and compliance requirements
• Experience with Snowflake and data engineering workflows (ETL, dbt)
• Exposure to Kubernetes and orchestration tools
• Understanding of serverless event-driven pipelines (Step Functions, Temporal).
  

Bonus Skills

• Experience with event-driven workflow orchestration tools such as Step Functions, Temporal, Airflow, or Prefect
• Familiarity with agentic workflow patterns, including integrating API-based decision points, asynchronous task handling, and dynamic routing of requests
• Understanding of infrastructure requirements for AI-powered automation, including latency optimization, autoscaling strategies, and cost-efficient compute for high-throughput processes
• Ability to design secure secrets and configuration management systems for agentic processes, including API keys, model tokens, and external service credentials
• Experience implementing observability for multi-step workflows, including distributed tracing, structured logging, and audit-friendly data pipelines
  

Benefits

• Competitive salary
• High ownership from day one — your work will directly shape core systems and products
• Fast-paced environment with quick decision cycles and minimal bureaucracy
• Remote-first team with flexibility on work hours and location
• Direct access to founders and cross-functional teams — no layers, no silos
• Clear expectations, regular feedback, and support for professional growth
• Work on real problems in a complex, high-impact industry