Ericsson
Posted 4mo ago

Software Developer Cloud and AI Native Platforms

Ericsson
Indaiatuba, São Paulo, Brazil
OnsiteFull Time
Responsibilities
  • developing software
  • operating platforms
  • designing pipelines
Requirements
  • Hands-on developer experience building production microservices in cloud-native environments (Kubernetes
  • Containers). Strong Python skills
  • Experience with CI/CD
  • Observability, APIs, and interest in GenAI/LLM solutions and AI-native platform design
Technical tools mentioned
ArgoCDAirflowAmazon KiroAmazon agent coreAmazon bedrockBentoMLCassandraEDMELK/EFKFluxGitGitLab CIGitOpsHelmJaeger/ZipkinKServeKubernetesKubeflowLangChainLangFuseLangGraphMLflowOpenTelemetryPrometheusREST/gRPCSeldonSpinnakerTektonZabbixGrafanaJenkinsOraclePostgresPython

Job description

Join our Team

About this opportunity:

We are especially focused on integrating artificial intelligence across all aspects of our daily work—including software development, testing, and troubleshooting—to drive innovation, improve efficiency, and enhance product quality. We are looking for Software Developers to join the Ericsson Service Orchestration and Assurance (ESOA) product team. In this role, you will build and operate cloud‑native microservices and help evolve our AI‑native platforms used across the enterprise.

The ideal candidate is a hands‑on software developer with experience in microservices and cloud‑native architectures (Kubernetes, containers) and a strong interest in GenAI / LLM‑based solutions in production. Experience with AI platforms and LLM tooling is a strong plus, but a solid developer background in microservices is the core requirement.

What you will do:

Develop production-grade software, unit tests, and automated test software for ESOA - Ericsson Service Orchestration and Assurance product.
Troubleshoot and resolve issues encountered during testing, contributing to continuous product improvement.
Participate in software integration testing in the lab—independently and as part of a team.
Review and provide feedback on software designs and test plans to ensure high-quality deliverables.
Design and scale AI-native enterprise platforms using LLMs, RAG architectures, agentic AI workflows, knowledge graphs, and persona-driven AI systems.
Build and operate model serving and inference platforms on Kubernetes (e.g., KServe, Seldon, BentoML or similar).
Design ML pipelines and orchestration using Kubeflow, MLflow, Airflow, and model registries.
Implement hallucination mitigation, grounding strategies, and AI evaluation frameworks.
Establish AI monitoring, data drift detection, and Responsible AI governance practices.
Design secure, multi-cloud AI solutions across AWS, Azure, or GCP.
Drive AI roadmap planning, business case development, and executive-level technical presentations.
Design Cloud Native & AI Native CI/CD pipelines using GitOps and tooling like ArgoCD, Flux, Jenkins, Tekton, GitLab CI, Spinnaker.)
Build highly performant and observable microserives using tools like Prometheus, Grafana, OpenTelemetry, Jaeger/Zipkin, ELK/EFK.
Using databases like Cassandra, Postgres, Oracle and EDM to handle data at scale.
Build AI tools that improve development, test and release productivity using Amazon Kiro, Amazon bedrock, Amazon agent core, LangChain, LangFuse and LangGraph

The skills you bring:

Solid, recent experience as a software developer, building and maintaining production microservices in a cloud‑native environment.

Strong proficiency in Python, with a foundational understanding of operating systems and computer science fundamentals.

Hands‑on experience with containers and Kubernetes:

Deploying microservices to Kubernetes clusters (e.g., deployments, services, config, Helm or similar).

Experience with APIs (REST/gRPC) and service‑to‑service communication.

Experience with automated testing (unit, integration, end‑to‑end) and CI/CD pipelines.

Exposure to observability tooling (at least one of Prometheus, Grafana, ELK/EFK, OpenTelemetry, Jaeger, Zipkin or similar) and understanding of why and how services are instrumented for health, performance and latency.

Understanding of security fundamentals for microservices:

IAM / single sign‑on concepts.

TLS in transit, certificates, and secret management (e.g., handling credentials, tokens, keys).

Familiarity with Git and modern development workflows (code reviews, branching strategies).

Advanced English (spoken and written) and strong communication skills to effectively collaborate in a global team.

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

 

Primary country and city: Brazil (BR) || Indaiatuba

Req ID: 781492  

 

About Ericsson

Global provider of telecommunications equipment and services.

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