Dev-Ops Engineer

Saaf Finance is building the AI workforce for the mortgage industry, reimagining how loans are underwritten and processed. Backed by leading financial institutions, we’re scaling fast and looking for a DevOps Engineer who thrives in fast-moving environments and wants to build the infrastructure behind one of the most data- and automation-intensive platforms in fintech.

• 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.

• 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.

• 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