Built's Mission: Connect and simplify doing business in real estate.
Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.
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Built is hiring a Mid or Senior Cloud Platform Engineer to join our Cloud Platform Team in Mendoza, Argentina. This role is for the hands-on engineer who keeps AWS environments running smoothly, improves Terraform every week, and is the person product teams want in the room when an infrastructure problem needs a practical, durable fix.
You will help operate and improve the cloud platform that product engineering teams build on: triaging AWS issues, hardening infrastructure as code, supporting production databases, improving delivery pipelines, and raising the bar on reliability. You will work alongside senior platform engineers, learn the patterns Built wants teams to reuse, and own meaningful parts of the platform end-to-end.
This is a strong fit for someone who enjoys digging into AWS console errors, tracing IAM denials, untangling Terraform state, and tuning the database or deployment path behind a production slowdown. At the L3 end of the band, this person will increasingly lead well-scoped platform initiatives while staying close to the operational craft.
- Solve AWS problems across the services Built depends on, including EC2, EKS, ECS, RDS, S3, IAM, VPC, Route 53, CloudWatch, KMS, Secrets Manager, and the surrounding service ecosystem.
- Author, review, and improve Terraform across Built's AWS estate by extending modules, resolving drift, managing state safely, and lifting the quality of reusable infrastructure patterns.
- Support production databases as a hands-on partner to engineering teams, including schema reviews, index tuning, slow-query investigations, backup and restore validation, replication or failover checks, capacity planning, and migration support across RDS PostgreSQL, MySQL, Aurora, DynamoDB and related data stores.
- Own practical improvements to GitHub Actions CI/CD workflows, making day-to-day builds and deploys faster, safer, and easier for product teams to debug.
- Improve observability by building useful Datadog or CloudWatch dashboards, writing meaningful monitors, tuning noisy alerts, and helping teams instrument services with metrics, logs, traces, and basic SLO thinking.
- Participate in incident response and on-call for AWS-related failures: investigate quickly, communicate clearly, write clean postmortems, and turn findings into Terraform-backed or operational fixes.
- Partner with product engineering teams on infrastructure design by reviewing TRDs, recommending AWS patterns, and helping teams choose services that fit the problem, reliability needs, and operational cost.
- Help raise the standard for security and compliance through least-privilege IAM, secret hygiene, patching cadence, vulnerability remediation, and data-protection practices appropriate for a regulated fintech environment.
- Grow into larger ownership over time by leading bounded reliability, infrastructure, database, or developer-experience initiatives from problem definition through delivery.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3-7 years of hands-on experience in DevOps, platform engineering, SRE, or cloud infrastructure in a production environment
- Strong AWS troubleshooting skills, including comfort with CloudTrail, CloudWatch Logs, VPC flow logs, IAM policy analysis, AWS Support tooling, and root-cause work across compute, networking, storage, and identity.
- Solid working knowledge of core AWS services, including EC2, RDS, S3, IAM, VPC networking, Security Groups, Route 53, KMS, Secrets Manager, CloudWatch, and at least one of EKS or ECS.
- Hands-on Terraform experience writing and refactoring modules, working with remote state, managing environments or workspaces, and resolving drift and provider issues with care.
- Experience building or maintaining CI/CD pipelines in GitHub Actions and shipping production changes safely through reusable workflows, secrets management, and failed-run debugging.
- Working knowledge of at least one observability platform such as Datadog, Grafana, or CloudWatch, including dashboards, monitors, alert quality, and basic SLO concepts.
- Ability to script in Python, Go, Node or Bash for automation, operational tooling, and cloud-platform glue work.
- Clear written communication, with the ability to explain an AWS issue, Terraform change, database finding, or incident timeline to engineers outside the platform team.
- Production DBA or database engineering experience, especially with MySQL and/or Postgres: query tuning, EXPLAIN plan analysis, indexing strategy, backup and restore, replication, failover testing, schema migrations, and partitioning.
- Experience operating DynamoDB in production, including data modeling, partition and sort key strategy, GSIs and LSIs, capacity mode selection, streams, DAX, and tuning hot-partition or throttling issues.
- Experience supporting database migrations and major version upgrades on RDS or Aurora.
- Familiarity with data security and compliance practices around PII, PCI, and regulated production environments.
- Kubernetes experience on EKS, including deployments, services, ingress, RBAC, Helm, and debugging pod, networking, or scheduling issues in production.
- Experience with service catalog or developer-experience tooling such as OpsLevel, Backstage, or similar platforms.
- Background in fintech, lending, or other regulated industries where uptime, auditability, and data security are critical.
- FinOps exposure, including AWS cost analysis, right-sizing, and reserved instance or savings-plan strategy.
- Open-source infrastructure contributions or published engineering writing.
At Built, AI is a first-class part of how we work. For this role, that means using AI coding assistants as a daily productivity multiplier for Terraform authoring, AWS troubleshooting, SQL tuning, runbook creation, and incident or postmortem drafting.
- Use AI to accelerate investigations by summarizing CloudTrail, logs, SQL plans, and deployment output while still validating the technical conclusion yourself.
- Contribute to Built's broader effort to automate the software delivery lifecycle wherever AI can remove manual toil.
- Share effective AI patterns with the broader engineering organization as you find them.
- Team size: You will join a team of 6+ platform engineers, with senior ICs on the team to learn from and partner with.
- On-call: Rotations are a week at a time, with frequency based on team size, expected roughly once every two months. The team works continuously to reduce incident volume so on-call stays manageable and low-noise.
- Location: Mendoza, Argentina, with flexible working hours.
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Travel Requirement: Remote employees are expected to travel to Nashville (or a company-designated location) at least twice a year for gatherings like Connect Week. Additional travel may be required based on your role and business needs.
Perks:
- The rare opportunity to radically disrupt a $1.5T industry
- Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance
- Robust compensation package, including equity in the form of stock options
- Learning Grant program to support ongoing professional development
- 401k with match and expedited vesting [US ONLY]
Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, genetic information, or any other characteristic protected by law.
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