Senior DataOps/DevOps Engineer

Join Creative Tech

Senior DataOps/DevOps Engineer at Join focusing on infrastructure as code and data integrity in a fully remote setup for Brazil. Ensure reliable data performance and optimize costs in the cloud.

Posted 4/14/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSBigQueryCloudDockerGoogle Cloud PlatformKubernetesPostGISPostgresPythonRedisSQLTerraform

About the role

Key responsibilities & impact

Infrastructure as Code: Provision production, staging, and development environments using Terraform to ensure standardization.
Data Reliability: Ensure availability and performance of spatial databases and high-speed caches.
Pipeline Automation: Build CI/CD pipelines for microservice deployments and automate data schema migrations.
Data Observability: Implement monitoring focused not only on infrastructure (CPU/RAM) but also on data health (ingestion lag, transformation failures, integrity of geo files).
Performance & Cost Optimization: Monitor resource consumption (FinOps) and propose architectures that reduce data egress and long-term storage costs.
Security: Implement IAM policies, secrets management (Secret Manager/KMS), and network isolation (VPC).

Requirements

What you’ll need

GCP: Cloud Run, GKE, Cloud SQL (PostGIS), BigQuery, Cloud Storage, and Cloud Functions.
AWS: ECS/Fargate, EKS, RDS Aurora (PostGIS), Redshift/Athena, S3, and Lambda.
Infrastructure as Code (IaC): Advanced mastery of Terraform (essential to ensure cloud portability).
Databases: Administration and tuning of PostgreSQL with PostGIS extension.
Containers: Docker and orchestration (Kubernetes).
CI/CD: Experience with Bitbucket Pipelines, GitHub Actions, or GitLab CI.
Cache & Messaging: Redis (Memorystore or ElastiCache) and messaging systems (Pub/Sub or SQS/SNS).
Desired: Familiarity with storage behavior of scientific file formats (GRIB2, NetCDF, HDF5) and tile formats (MBTiles, Zarr).
Data Orchestration: Experience with Apache Airflow (Cloud Composer or MWAA).
Scripting: Advanced Python for infrastructure automation and data maintenance tasks.
Networking: CDN configuration and load balancing for high-speed map tile delivery.
Official Certifications: Google Cloud Professional Data Engineer or AWS Certified Data Analytics.
Prior experience in the electrical, meteorological, or environmental sectors.
Expertise in advanced partitioning and spatial indexing techniques in PostGIS.
Familiarity with geospatial visualization tools (Mapbox, Leaflet, GeoServer).

Benefits

Comp & perks

Infrastructure allowance
Flexible working hours
Day off on your birthday — with a surprise!
Support for training and certifications
Access to Alura
Partnership with FIAP
Referral bonus
Health insurance
Dental plan
Vittude — mental health platform
Wellhub — physical health support
New Value — discount coupons
SESC

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

TerraformPostgreSQLPostGISDockerKubernetesCI/CDPythonApache AirflowRedisFinOps

Certifications

Google Cloud Professional Data EngineerAWS Certified Data Analytics