Level 2.5 Business Support Systems (BSS) Engineer

For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 90 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth. As a Level 2.5 BSS Engineer, you will support and maintain business-critical BSS applications, troubleshoot complex incidents, and help drive modernization of our monitoring and automation infrastructure. You will serve as a key operational link between engineering, customer support, and cloud operations teams. This is a hands-on technical role, ideal for someone who thrives in dynamic environments, has a solid systems and application background, and is ready to expand their skills in cloud technologies, automation, and AI-driven operations. Key Responsibilities Operate and support the Aeris BSS platform, services, and cloud-native applications. Troubleshoot platform components including web/application servers (Tomcat, JBoss), middleware (Kafka), API services (REST, SOAP, JSON), LDAP, and containerized workloads (Docker, Kubernetes). Perform proactive health checks and service impact analyses across telecom services. Assist with implementation, verification, and rollout of new software releases, platform configurations, and BSS features. Build and maintain automation scripts (Python, Shell, or AI Agents) for platform operations and service recovery. Support pre-sales activities by offering technical insight into platform capabilities and customizations. Collaborate with Level 1 support, product engineering, DevOps, and delivery teams to ensure resolution of incidents and root cause analysis. Participate in the on-call rotation and provide remote troubleshooting support. Maintain up-to-date technical documentation, procedures, and knowledge base articles. Deliver operational KPIs and monitoring dashboards using tools such as Prometheus, Grafana, and GCP-native monitoring services. Support exploration projects involving GenAI and AI/ML integration into support workflows and automation tools. Basic Qualifications Bachelor’s degree in computer science, Telecommunications, or related technical field. 3–5 years of experience in a similar support/engineering role. Proficiency in managing and troubleshooting distributed systems and cloud-native applications. Working knowledge of (any combination of): Middleware and integration platforms: Kafka, JBoss, Tomcat Web services/APIs: REST, SOAP, JSON o Containers & Orchestration: Docker, Kubernetes Scripting: Python, Bash, or Perl SQL and basic database operations (PostgreSQL, MySQL, or Oracle) Linux/Unix operating systems Understanding of cloud platforms, ideally Google Cloud Platform (GCP) or similar (AWS, Azure). Familiarity with enterprise IT monitoring and incident management best practices. Good understanding of telecom architecture (BSS/OSS), networking protocols, and authentication systems (LDAP, OAuth) is a plus. Excellent communication skills (spoken and written English). Strong problem-solving ability and a customer-first mindset. The ability to remain calm under pressure and act decisively. Analytical thinker with keen attention to detail. Self-motivated, collaborative, and continuously curious Preferred Qualifications Exposure to GenAI tools (e.g., LLMs, MCP, RAG, embeddings) or AI/ML frameworks (e.g., TensorFlow, PyTorch, Vertex AI).  Java programming knowledge and understanding of enterprise BSS architecture. Familiarity with Git, Jenkins, and container image registries (e.g., Artifact Registry or Docker Hub). ITIL Foundation or experience with structured incident/problem/change management processes. Experience with virtualization, CI/CD pipelines, and infrastructure-as-code tools Aeris is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status. As part of our hiring process, Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional detail will be provided via the formal application process. #LI-Hybrid