Summary

The Data Reliability Engineering team is responsible for helping build and maintain data cloud-native services and products, our main responsibility is ensuring high standards of reliability, scalability, and security during the entire data lifecycle.

What you'll do

• Responsible for building, maintaining, and evolving cloud-native and containerized infrastructure dedicated to hosting and integrating data products and services

• Play a crucial role in increasing our platform maturity by supporting other squads and participating as a team player in multidisciplinary projects, with a primary focus on availability, security, and scalability

• This staff position requires an advanced understanding of systems design, cloud infrastructure, network, and databases or data-related technologies, also is expected previous experiences in complex technology adoptions are expected.

Minimum Qualifications

• Upper-intermediate English - B2 (speaking)

• Solid experience with Cloud Management (AWS preferable)

• Solid experience with Kubernetes Management and Containerized applications

• Experience with observability (Logging and Metrics, nice-to-have Tracing)

• Experience with Shell Script and Linux Management

• Experience with automation language like Python or other

• Experience with Streaming (Kafka, Kinesis, or similar)

• Experience with Network (Load Balancer, Reverse Proxy, Gateway, VPC, NAT, etc.)

• Knowledge in Databases: MySQL and Postgres

• Desirable knowledge in BigData

• Desirable experience with serverless such as Lambda or Google Functions

• Desirable experience with orchestration tools like Airflow

• Desirable knowledge of development and design patterns

• Desirable experience with NoSQL database.

Core Benefits

• Remote work

• Flexible hours

• Gympass

• Meal & Food vouchers 

• Remote work financial support

• Life Insurance

• Medical and Dental

• Assistance Employee child care benefit: daycare

• Private Pension (2x1)

• Vidalink partnership

• Day off (Birthday)

• Support for studying languages

• 50% off AWS and GCP certifications

• Sesc Partnership 

• Performance Incentive Plan 

Technologies that we apply in our day

Engineering 

• Java, Groovy and Go

• Automated Testing

• K6 (Load Testing) and Gremlin (Chaos Testing)

• SQL /  NoSQL

• Git

• Rest APIs and streaming data

• Cloud (AWS and Google)

• Docker and Kubernetes

• Codefresh & ArgoCD

• Grafana & Honeycomb

• Jira / Confluence

Data

• AWS Services;

• Data Processing: Spark, Flink

• Python

• Airflow

• Relational databases (PostgreSQL and MySQL)

Platform Engineering

• AWS

• Codefresh

• ArgoCD

• Grafana & Honeycomb

• Kubernetes

• Terraform

• Go, Python, and Shell Script

• Prometheus

• Istio

Security

• SAST

• SCA

• IaC Scans