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DevOps Platform Engineer (AWS)

Lisboa

Job description

DevOps Platform Engineer - Service Platform Development and Operations

Location: Lisbon, Portugal

Work Arrangement: Hybrid ( 1 day/week at the office; 3 days/semester for workshops/hackathons)

Service Description:

The service to be provided will be part of the integration team working on the DART platform service. The platform is built on a tightly integrated stack composed of Terraspace, Confluent Cloud, AWS, Kubernetes, and Snowflake. This platform offers a production-ready, operational data mesh for Domain Deliver, consisting of source-aligned and consumer-aligned data products exposed via event streams, APIs, and data stores, enabling real-time transactional and operational use cases.

This role will bridge the gap between platform development and day-to-day operations. It focuses on building the automation, tooling, and configuration artifacts that the operations team needs to run the platform reliably, without requiring deep knowledge of the full platform architecture. It will work closely with both the Development and Operations teams, translating operational needs into reusable automation.

Daily tasks will be distributed along these topics:

Operational Tooling & Automation Development (develop scripts for recurring operational tasks and Confluent CLI operations)
Connector & Topic Configuration Support (manage Kafka topic and sink connector configurations)
CI/CD & Pipeline Support (validate, maintain and extend GitLab CI/CD helper jobs and support scripts)
Operations Team Enablement (develop and maintain operational runbooks and diagnostic scripts for incident response)
Transformation App Configuration Support (QuickEvents-APPs – Python / ECS Fargate)
API Configuration Support (QuickData-APIs – Lambda / Terraform)
AWS & Secret Management Support

Requirements:

Mid-Level – DevOps experience, preferably in platform engineering, data engineering roles
Mid-Level – AWS Cloud Expertise – EC2, S3, RDS, VPC, IAM, CloudWatch (preference to AWS certificates)
Mid-Level – Programming skills, Python or Bash/Zsh for automation scripts and infrastructure tooling (file I/O, REST API calls, CLI tools, data transformation)
Mid-Level – CI/CD Systems – Jenkins, GitLab CI, GitHub Actions, or similar platforms
Mid-Level – Version Control: Git workflows, pipelines, conventional commits, and merge requests
Mid-Level – Background in a platform team or operational support role
Junior Level – Streaming platforms: Kafka or event streaming concepts (topics, consumers, producers)
Junior Level – Experience with Confluent Cloud or the Confluent CLI
Junior Level – Experience with data platform infrastructure and database operations: databases (relational and non-relational), data structures (JSON, XML) and using SQL
Junior Level – AWS Lambda configuration and AWS ECS or container orchestration

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