Backend & Platform Developer - Python/Go, AWS & Kubernetes

**Join our Team** **About This Job** We are looking a Software Phyton 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.