Senior DataOps/DevOps Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Infrastructure as Code: Deploy production, staging, and development environments utilizing Terraform to maintain standardization.

• Data Reliability: Guarantee the availability and performance of spatial databases and high-speed caches.

• Pipeline Automation: Create CI/CD pipelines for microservice deployments and automate data schema migrations.

• Data Observability: Establish monitoring that focuses not only on infrastructure (CPU/RAM) but also on data health (ingestion lag, transformation failures, integrity of geo files).

• Performance & Cost Optimization: Track resource consumption (FinOps) and recommend architectures that minimize data egress and long-term storage expenses.

• Security: Enforce IAM policies, manage secrets (using Secret Manager/KMS), and ensure network isolation (VPC).

⛳️ Requirements

• GCP: Proficiency in Cloud Run, GKE, Cloud SQL (PostGIS), BigQuery, Cloud Storage, and Cloud Functions.

• AWS: Experience with ECS/Fargate, EKS, RDS Aurora (PostGIS), Redshift/Athena, S3, and Lambda.

• Infrastructure as Code (IaC): Advanced expertise in Terraform (crucial for ensuring cloud portability).

• Databases: Skilled in administration and optimization of PostgreSQL with PostGIS extension.

• Containers: Proficient in Docker and orchestration using Kubernetes.

• CI/CD: Familiarity with Bitbucket Pipelines, GitHub Actions, or GitLab CI.

• Cache & Messaging: Experience with Redis (Memorystore or ElastiCache) and messaging systems (Pub/Sub or SQS/SNS).

• Desired: Knowledge of storage behaviors of scientific file formats (GRIB2, NetCDF, HDF5) and tile formats (MBTiles, Zarr).

• Data Orchestration: Experience with Apache Airflow (Cloud Composer or MWAA).

• Scripting: Advanced proficiency in Python for automating infrastructure and managing data tasks.

• Networking: Experience with CDN configuration and load balancing for efficient map tile delivery.

• Official Certifications: Google Cloud Professional Data Engineer or AWS Certified Data Analytics.

• Previous experience in the electrical, meteorological, or environmental industries.

• Expertise in advanced partitioning and spatial indexing techniques within PostGIS.

• Familiarity with geospatial visualization tools such as Mapbox, Leaflet, or GeoServer.

🏝️ Benefits

• 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