Loancrate

We started Loancrate to make home-buying simpler and less expensive for lenders and borrowers. Today, mortgage lenders are stuck running their companies on software products built 20 years ago. These products are slow, unstable, and don't lead to material improvements in efficiency. When using these systems, the average human cost to originate a loan is still over $11,000. Loancrate builds AI-native tooling to automate mortgage workflows. Our ultimate goal is fully automated origination, which has the potential to save lenders over $16B in operating expense per year. Since starting in 2020, our remote team has enabled our customers to power >$85 billion in new home loans. We are a group of people excited to tackle the complexity of the home-lending industry. We care about collaboration, very open communication covering the good & the bad so that we learn from our decisions quickly, and ultimately having fun while we're building. You'll fit in well if you like diving deep quickly!

Senior Platform Engineer

Platform EngineerPlatform EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

13 days ago

Salary

$0 - $300K / year

Bachelor DegreeEnglishAWSCloudDockerPostgre SQLTerraformType Script

Job Description

• Own and evolve our AWS infrastructure using Terraform and Pulumi Cloud - treating infrastructure as a product that engineering teams depend on. • Design and maintain internal developer tooling and libraries that standardize how we build and ship - code generation, shared SDKs, data access patterns, and service scaffolding. • Create and maintain golden paths for common workflows (new service setup, background jobs, event streams, APIs) so teams can ship quickly with built-in security and observability (and consistent defaults across services). • Build and maintain CI/CD pipelines and per-PR ephemeral environments that make deploying feel easy and safe. • Drive reliability through SLOs, auto-scaling, incident response, and postmortems - and build systems that make the next incident less likely. • Create observability tooling and shared instrumentation libraries that give engineers real-time insight into their services. • Enforce security best practices across IAM, secrets management, encryption, audit logging, and DDoS protection. • Own the reliability and performance of our data platform (Aurora PostgreSQL) - provisioning, backups, failover, and tuning - and build tooling that makes safe usage the default. • Reduce toil through automation and self-service tooling so engineers can move fast without waiting on the platform. • Contribute to architecture decisions and documentation, and participate in on-call rotation (shared by the whole engineering team).

Job Requirements

  • Experience building internal platforms / developer tooling: code generation, CLIs, templates, shared SDKs, or frameworks that improve engineering velocity.
  • Strong TypeScript skills and API design taste - you enjoy building stable primitives that other engineers rely on.
  • Deep AWS experience across compute, networking, storage, and security (ECS, Lambda, VPC, ALB, IAM, RDS, ElastiCache, MSK, OpenSearch, S3, CloudWatch, CloudTrail, GuardDuty).
  • Strong Terraform and/or Pulumi proficiency: modules, workspaces, and CI-driven plan/apply workflows.
  • Experience designing and operating CI/CD systems that help large engineering teams ship frequently and confidently.
  • Track record building production observability stacks (Datadog, CloudWatch, Sentry, distributed tracing, SLOs).
  • You’ve built “paved roads” that bake in secure, reliable defaults (instrumentation helpers, policy-as-code, safe-by-default deployment patterns).
  • Security-first mindset - you proactively harden infrastructure without slowing teams down.
  • Aurora PostgreSQL operations at scale: backups, PITR, failover, read replicas, query tuning.
  • Comfort with Docker and container orchestration environments.
  • Reliability engineering mindset: SLOs, error budgets, incident response.
  • Curiosity about the unique infrastructure demands of AI and LLM workloads.
  • Strong written communication - you document decisions and help the team understand the systems they depend on.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

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