BSS Integration Engineer at Ericsson

• We are now looking for an Integration Engineer to analyze, prepare, implement, and verify the configuration and integration of nodes, networks, and systems.
• The role covers activities such as new product introductions, upgrades, expansions, functionality enhancements, capacity changes, and work involving customer legacy environments.

What you will do

• Participate in planning and executing product configuration and integration activities.
• Implement product configuration and complete integration and migration activities.
• Prepare and execute system, module, and acceptance testing.
• Implement test activities and ensure solutions meet technical and customer requirements.
• Develop and drive continuous improvements throughout the delivery lifecycle.
• Provide post-project technical support and follow-up activities.
• Apply end-to-end technical understanding across BSS, OSS, cloud, and telecom environments.
• Support scripting, coding, and automation activities.
• Contribute to knowledge sharing and effective teamwork.
• Support pre-sales activities, including technical pre-studies and solution assessments.

You will bring

• Bachelor’s degree or equivalent experience in Engineering, Information Technology, Telecommunications, Computer Science, Computer Engineering, or a related field.
• 3–5 years of experience within a telecom vendor or operator environment, preferably with Business Support Systems (BSS) or cloud software systems, with a focus on data analytics.
• Excellent written and spoken English.
• Good understanding of BSS infrastructure and architecture within a telecom service provider environment.
• Knowledge of Red Hat Linux system administration, IP networking, databases such as PostgreSQL and Oracle, and IP security.
• Good understanding of 3GPP charging architecture, mechanisms, and interfaces.
• Understanding of 2G/3G/4G/5G mobile technologies, VoLTE, and IMS, particularly their relationship with BSS/OSS architectures and relevant TM Forum standards.
• Experience with automation and DevOps tools such as GitOps, Rosetta, Ansible, or similar technologies.
• Familiarity with ML and GenAI tools such as Amazon Bedrock, Copilot, Claude, or similar platforms.
• Experience implementing data pipelines and working with data lake and analytics platforms such as Databricks and Snowflake.
• Strong analytical, learning, and research skills.
• Ability to apply technical expertise to solve complex problems and drive innovation.
• Strong planning and organizational skills, with a focus on delivering results and meeting customer expectations.
• Strong communication, collaboration, and knowledge-sharing skills.