Saaf Finance is building the AI workforce for the mortgage industry. We are an AI startup integrated with a top-10 mortgage lender, American Heritage Lending (AHL). Together we are combining AHL’s 15+ years of mortgage origination expertise with the power of AI-native innovation to redefine what’s possible in mortgage lending.
This is a rare opportunity to join at a pivotal moment. You'll build the infrastructure backbone for one of the most data- and automation-intensive platforms in fintech, working directly with founders and engineering leadership to shape how AI transforms a $17 trillion industry.
You will be part of a focused product and technology team with the backing of a $10 Billion+ New York-based investment fund—giving us stability, scale and resources of an established institution with the speed, innovation and ownership of a startup.
If you thrive in fast-moving environments, love solving complex infrastructure challenges, and want to see your work power real financial decisions for thousands of borrowers, this role is for you.
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).
- 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
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