Develop and manage cloud-native platforms and MLOps workflows, automating systems via CI/CD and infrastructure as code while ensuring security and observability.
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.
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.
Top Skills
Airflow
Amazon Agent Core
Amazon Bedrock
Amazon Q
Argocd
AWS
Bentoml
Edb/Postgresql
Efk
Elk
Gitlab Ci
Gitops
Go
Grafana
Jaeger
Jenkins
Kubeflow
Kubernetes
Langchain
Langfuse
Langgraph
Mcp
Mlflow
Opentelemetry
Oracle
Prometheus
Python
Spinnaker
Terraform
Zipkin
Similar Jobs at Ericsson
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The role involves designing solutions for the Digital Monetization Platform, collaborating with stakeholders, leading development teams, and influencing standards.
Top Skills:
Ai TechnologiesOss/Bss SolutionsSoftware Development LifecycleTelecommunications StandardsTmf
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The Software Developer Intern will assist in software design, development, maintenance, and support within a cross-functional team using various technologies, including C# and Azure.
Top Skills:
.Net Core.Net FrameworkAsp.NetAzure DevopsBootstrapC#Ci/CdDockerKubernetesMicrosoft Sql ServerReactVisual Studio
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Develop production software and tests for LLM solutions. Design AI platforms on Kubernetes, maintain CI/CD pipelines, and monitor AI performance.
Top Skills:
Amazon BedrockAmazon KiroAWSAzureCassandraCi/CdDockerElkGCPGitGrafanaJaegerKubernetesLangchainLangfuseLanggraphOpentelemetryOraclePostgresPrometheusPythonZipkin
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
