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# Developer (Sr. Software Development Engineer)

- **Company:** Ericsson
- **Location:** Boise, ID, United States (Remote available)
- **Experience:** Expert
- **Salary:** $162,000.0 - $212,625.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, JIRA, Unit Testing, Microsoft Azure, Big Data, Software as a Service, Software Quality, Databases, Information Engineering, Distributed Computing Environment, Distributed Data Store, Distributed Systems, Amazon DynamoDB, Elasticsearch, Apache Hadoop, Apache HBase, Python (Programming Language), PostgreSQL, Memcached, Metadata, NoSQL, Redis, Ansible, Prometheus, Software Engineering, Web Application Frameworks, Cloud Platform System, Data Ingestion, Apache Spark, Spring-boot, Multi-Cloud, Backend, Fastapi, Containerization, Data Lakes, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Flink, Cassandra, Apache Kafka, Data Lakehouse, Vertica, Event Sourcing, Restful APIs, Terraform, Software Version Control, Data Pipelines, Docker, Jenkins, Microservices
- **Published:** September 6, 2026
- **Apply:** https://www.careerjet.com/job/usab7e781e9ac8bffb294eb78a6238dc0d/eaa

## About the Role

solutions. Worksite: 1100 W. Idaho Street Suite 800 Boise, ID 83702, or various unanticipated worksites across the U.S. You will bring: Master's degree or foreign equivalent in Computer Science, Data Engineering, or a related field and 7 years of experience in distributed system architecture. 7 years of experience to include: 1. Using Python or Go for data-intensive applications; 2. Building microservices and data APIs using Spring Boot or FastAPI; 3. Containerization and orchestration using Docker, Kubernetes, and Helm; 4. Version control, unit testing, and code quality practices; 5. CI/CD pipelines using either GitLab CI and Jenkins or ArgoCD. 5 years of experience to include: 1. Designing end-to-end architectures; 2. Defining data ingestion frameworks; 3. Migrating cloud-native platforms using Azure, AWS, or GCP; 4. Telemetry design; 5. Distributed data processing using Apache Spark, Flink, Kafka Streams, or Beam; 6. Real-time and batch data pipeline design including ingestion,
transformation, storage, and analytics; 7. Data lakehouse or streaming architectures using Delta Lake, Hudi, Iceberg, or Kafka Connect; 8. NoSQL and distributed storage using Cassandra, HBase, Elasticsearch, or ClickHouse; 9. Infrastructure-as-code tools using Terraform or Ansible. "#LI-DNI" 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 never seen before solutions 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. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation

## Description

SaaS applications. Integrate Prometheus with GCP Pub/Sub to stream metrics from private 5G network devices and applications for real-time monitoring, alerting, and performance analysis. Use PostgreSQL for event sourcing and analytics, persisting event logs, metadata, and state changes. Work with relational, NoSQL, and time-series databases, including Postgres, Cassandra, Hadoop, Elastic, and DynamoDB. Design RESTful APIs using modern frameworks. Scale backend services with Redis and Memcached. Operate in multi-cloud environments including GCP and AWS. Configure log streaming with Fluent Bit and alert and notification services using Alertmanager. Scope, estimate, and document development tasks and create JIRA tickets. Develop unit tests and integrate them into CI/CD pipelines. Diagnose and resolve complex customer issues with strong ownership and accountability. Contribute to an agile software development lifecycle and collaborate with cross-functional engineering teams to deliver end-to-end


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