Cloud Application Architect

Tonder

Xico

On-site

MXN 900,000 - 1,300,000

Full time

7 days ago
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Job summary

Tonder is seeking a Cloud Application Architect to design and own how the platform runs on AWS, from a single host with Docker Compose to ECS across three availability zones. You will be hands-on in Terraform and pipelines, partnering with the SRE team that operates what you design.

Responsibilities include runtime architecture for the Django API and Celery on ECS, data-tier migrations with near-zero downtime, cache and messaging, edge and network design, and serverless operations.

Qualifications

  • 7+ years in engineering with 3+ years on AWS production workloads.
  • ECS on EC2 and Fargate, or Kubernetes in production with containerized Python apps.
  • Terraform at module level, with remote state, plans in CI.
  • Aurora or RDS PostgreSQL operations and migrations with minimal downtime.
  • ElastiCache/Valkey, SQS, Kinesis, Lambda, DynamoDB, API Gateway.
  • ALB, NLB, WAF, Route 53, VPC design; multi-account governance.
  • PCI DSS or SOC 2 awareness; fluent in Spanish and English.

Responsibilities

  • Define runtime architecture for Django API and Celery workers on ECS.
  • Migrate data tier with near-zero downtime and read replicas.
  • Manage caching and messaging with Redis/Valkey and Kinesis.
  • Oversee edge/network design including TLS, IAM, and private connectivity.
  • Operate serverless estate with Lambda and canary deployments.
  • Delivery of IaC via Terraform modules and GitHub Actions pipelines.
  • Maintain observability with Datadog and SLO dashboards; optimize costs.
  • Lead disaster recovery planning and multi-region readiness.

Skills

AWS production workloads
Container orchestration
Python scripting
Automation

Tools

ECS on EC2
ECS Fargate
Kubernetes
Terraform
CI/CD (GitHub Actions)
Datadog APM
IAM / VPC design
Lambda
RDS Aurora / PostgreSQL

Job description

Cloud Application Architect

Mission. Design and own how the platform runs on AWS: from a single host with Docker Compose to ECS across three availability zones, Aurora PostgreSQL, Valkey, zero-downtime deploys and autoscaling, and later a second region. You decide task sizes and memory limits, how gunicorn and Celery are laid out, how the database moves without a maintenance window, and how the whole thing fails over. You are hands-on in Terraform and pipelines, and you partner with the SRE team that operates what you design.

Reports to the Head of Platform and Reliability

What you will own

  • Runtime architecture for the Django API and the Celery workers on ECS: task sizing, CPU and memory limits, worker and thread topology, health checks, graceful shutdown, rolling or blue-green deploys.
  • The data tier: RDS to Aurora migration with near-zero downtime, RDS Proxy and IAM authentication, read replicas, backups, point-in-time recovery, cross-region replication.
  • Cache and messaging: Redis to Valkey on ElastiCache with replication; SQS and dead-letter queue hygiene; Kinesis capacity and consumer concurrency.
  • Edge and network: ALB and NLB, WAF in block mode, per-merchant rate limiting, TLS, VPC design, private connectivity to providers, a multi-account landing zone with Organizations and SSO.
  • Operations of the serverless estate: Lambda reserved and provisioned concurrency, canary deployments with alarms, dead-letter queues on every asynchronous path.
  • Infrastructure as code and delivery: Terraform modules, GitHub Actions pipelines, environment parity, drift detection, rollback.
  • Observability and cost: the Datadog APM rollout with the SRE team, SLO dashboards, capacity and cost visibility, Savings Plans and right-sizing.
  • Resilience: load tests at 10x and 30x, game days, the disaster recovery plan with a tested runbook, the second-region design.
  • PCI DSS infrastructure controls with the CISO: segmentation, hardening, logging, key management.

How you will work

  • Design it, build the first version yourself with the SRE team, then hand it over with a runbook.
  • Every production change goes through code review and a Terraform plan; no console changes.
  • Join the platform on-call rotation after your first quarter.
  • Work in Spanish and English with a distributed team across the Americas.

Cloud Application Architect: what we need from you

Must have

  • 7+ years in engineering, at least 3 of them architecting production workloads on AWS that could not go down.
  • ECS on EC2 and Fargate, or Kubernetes, in production with containerized Python applications; you know what gunicorn and Celery do under memory pressure.
  • Terraform at module level, with remote state, workspaces and plans in CI.
  • Aurora or RDS PostgreSQL operations and migrations: replication, parameter tuning, connection pooling, upgrades without downtime.
  • ElastiCache or Valkey, SQS, Kinesis, Lambda, DynamoDB, API Gateway.
  • ALB, NLB, WAF, Route 53, CloudFront, VPC design, IAM and multi-account governance with service control policies.
  • Linux and container debugging: out-of-memory behavior, cgroups, page cache and swap, I/O saturation, network timeouts.
  • Datadog or equivalent: APM, logs, metrics, synthetics, SLOs.
  • GitHub Actions or similar; Python and Bash for automation.
  • Has run at least one zero-downtime migration of a database or a runtime in production.
  • Has worked inside PCI DSS or SOC 2 scope and knows what the auditor asks for.
  • Professional Spanish and English.

Nice to have

  • AWS Solutions Architect Professional or DevOps Engineer Professional.
  • Multi-region disaster recovery on AWS that was actually tested.
  • Kubernetes, FinOps practice, incident command experience.
  • Payments or fintech background.
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