About This Job
We are looking for a Software Python Developer to contribute to cloud native platforms and ML/AI services that power Ericsson products in Brazil. Ready to collaborate across requirement analysis, system design, implementation, integration, verification, and documentation, aligned with Product Development Principles.
What You Will Do
Design, build, and operate Kubernetes based services: architecture, operators/CRDs, Helm charts and files; manage clusters and GitOps workflows with ArgoCD.
Implement CI/CD pipelines with Jenkins, Spinnaker, and GitLab CI; automate releases, rollbacks, and approvals.
Provision and manage cloud resources with Infrastructure as Code (Terraform, AWS CloudFormation, CDK).
Develop backend and platform components in Python, Go, and Java; integrate data/storage (EDB/PostgreSQL, Oracle).
Enable secure delivery: IAM, TLS certificate handling, secrets management (Vault, KMS), service meshes (Istio/Linkerd).
Instrument, monitor, and trace systems using Prometheus, Grafana, OpenTelemetry, Jaeger/Zipkin; manage logs with ELK/EFK.
Build and scale MLOps workflows with MLflow, Kubeflow, BentoML (or similar); orchestrate pipelines with Airflow.
Adopt cloud native patterns on AWS; optimize reliability, performance, and cost.
Explore and deliver GenAI/agent capabilities with Amazon Bedrock, Amazon Q, MCP, Amazon Agent Core; build with LangChain, LangGraph, and observe with Langfuse.
Support PLM processes and produce clear product documentation across the lifecycle.
The Skills You Will Bring
Education: Bachelor’s degree in Systems, Computer Science, Software Engineering, or related field.
Advanced English skills for collaboration and documentation.
DevOps & SRE: CI/CD, infrastructure automation, reliability practices.
Cloud native on AWS: Kubernetes (Helm, operators/CRDs), GitOps (Argo CD); IaC with Terraform, CloudFormation, CDK.
Pipelines & Testing: Jenkins, GitLab, Spinnaker; automated testing; progressive delivery.
Software Engineering: Python, Go, Java; API design and integrations.
Data & Observability: EDB/PostgreSQL, Oracle; Prometheus, Grafana, OpenTelemetry; Jaeger/Zipkin; ELK/EFK.
Security & Networking: IAM, TLS, secrets management (Vault, KMS); service meshes (Istio, Linkerd).
MLOps & GenAI: MLflow, Kubeflow, BentoML; Airflow; Amazon Bedrock, Amazon Q, MCP/Agent Core; LangChain, LangGraph; Langfuse.
Collaboration, documentation, and knowledge sharing in cross functional teams.
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