Saaf Finance logo

Saaf Finance

Remote Jobs

Data. Decisions. Delivered Faster. Enabling decisions using accurate, structured Source of Truth mortgage loan data.

2 open rolesTeam 11,50Since 2022H1B No SponsorLatest: Mar 19, 2026, 1:29 AM UTCCompany SiteLinkedIn
Post Date
Minimum Salary
Experience

2 Jobs

Saaf Finance logo

Dev-Ops Engineer

Saaf Finance

Data. Decisions. Delivered Faster. Enabling decisions using accurate, structured Source of Truth mortgage loan data.

Operations85 days ago
ContractRemoteSeniorTeam 11-50Since 2022H1B No Sponsor

• Provision & manage AWS: Design, deploy, and maintain VPCs, Lambda, RDS, S3, IAM using IaC (Terraform or CloudFormation). • CI/CD at scale: Build and optimize GitHub Actions pipelines for backend and frontend; enable zero‑downtime releases. • Containers & serverless: Operate ECS/Fargate and Lambda workloads with safe rollout strategies. • Observability: Implement production‑grade monitoring, logging, and alerting (CloudWatch, Prometheus, ELK or similar). • Automation: Script infra tasks, feature flagging, and environment provisioning. • Security: Enforce cloud security best practices across IAM, network segmentation, and secrets (SSM / Secrets Manager). • Data platform support: Support ETL jobs, Snowflake, and dbt workflows used by data/analytics. • Collaboration: Work with Engineering, Data, and QA; ship reliably using Notion and Linear for coordination.

India
Saaf Finance logo

Data Engineer

Saaf Finance

Data. Decisions. Delivered Faster. Enabling decisions using accurate, structured Source of Truth mortgage loan data.

Data Engineer85 days ago
OtherRemoteSeniorTeam 11-50Since 2022H1B No Sponsor

• Design, implement, and maintain ETL/ELT pipelines for structured and unstructured datasets from internal and external sources. • Build and optimize warehouses and marts (e.g., Snowflake, BigQuery) for analytics, reporting, and product use cases. • Ingest data from APIs and SaaS platforms (e.g., CRM, financial data APIs) into the core data platform. • Design conceptual, logical, and physical models to deliver scalable, consistent, high‑quality datasets. • Implement validation, schema management, and documentation to ensure accuracy and compliance. • Monitor and tune pipeline/warehouse performance for scalability and cost efficiency. • Apply data security and privacy controls aligned with financial regulations; ensure full transformation traceability. • Deliver clean, consistent datasets to analysts, PMs, and operations for fast, data‑driven decisions.

United States