Job Description

Saaf Finance is a mission-driven fintech transforming how loans are underwritten. We are building an automated, AI-powered platform using scalable cloud infrastructure to streamline mortgage workflows. Our technology brings speed, reliability, and efficiency to lending. Join us to help build impactful systems that power the future of mortgage automation.

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 plus performance bonus. Stock option grant. Flexible vacation policy. * Remote-first culture with high-collaboration ethos.