About Aeris Communications Inc.

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 100 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.

Job Summary

We are seeking a technically adept Level 2.5 BSS Engineer to support and enhance our mission-critical Business Support Systems (BSS) running in a complex, telecom-grade, cloud-native environment. 
This position is a hybrid role requiring good Java development skills for automation, coupled with hands-on operational expertise in Google Cloud Platform (GCP). You will act as the bridge between engineering, support, and cloud operations—ensuring stability, scalability, and continuous improvement of our platform.

This role is ideal for a problem-solver who thrives in dynamic, fast-paced environments, possesses a solid background in systems and application support, and has the drive to innovate with automation, cloud technologies, and AI-driven solutions. 

Key Responsibilities

• Automation Development: Design, develop, and maintain Java- and Python-based automation tools to streamline operational workflows and service fulfillment.

• AI & Modernization Initiatives: Explore and integrate GenAI and AI/ML capabilities into microservices, monitoring, and automation pipelines.
• Platform Operations: Operate, maintain, and troubleshoot the Aeris BSS platform, cloud-native applications, and associated services.
• Incident Troubleshooting: Diagnose complex issues across multiple layers, including a subset of:

-Web/Application servers: Tomcat, JBoss

-Messaging: Kafka

-APIs: REST, SOAP, JSON

-Authentication: LDAP

-Kubernetes workloads (GKE, K3S);

• Release & Deployment Support: Assist in implementing, validating, and rolling out new platform configurations, software releases, and feature enhancements.
• Pre-Sales Technical Support: Provide expertise in BSS platform capabilities and customization options.
• Collaboration: Work closely with Level 1 support, product engineering, DevOps, and delivery teams to drive incident resolution and root cause analysis.
• Service Continuity: Participate in an on-call rotation, providing remote trouble resolution as needed.

• Monitoring & Reporting: Create and maintain operational dashboards (Prometheus, Grafana, GCP Monitoring) and track key performance metrics.

• Documentation: Keep technical procedures, incident runbooks, and knowledge base articles up to date.

Minimum Requirements

• Bachelor’s degree in computer science, Telecommunications, or a related technical discipline.

• 3–5 years’ experience in a similar technical support or engineering role.

• Strong proficiency in Java or Python for automation development.

• Experience operating and debugging distributed, cloud-native systems.

• Working knowledge in:

- Web services/APIs: REST, SOAP, JSON;

- Containers & orchestration: Docker, Kubernetes;

- SQL databases (PostgreSQL, MySQL, or Oracle);

- Linux/Unix administration.

• Familiarity with Google Cloud Platform (or comparable AWS/Azure).

• Understanding of ITIL-based incident, problem, and change management best practices.

• Knowledge of telecom BSS/OSS, networking protocols, and authentication systems (LDAP, OAuth) is an advantage.

Preferred Requirements

• Exposure to GenAI tools (LLMs, MCP, RAG, embeddings) or AI/ML frameworks (TensorFlow, PyTorch, Vertex AI).

• Hands-on experience with source control, CI/CD, and DevOps tooling:

• Git, Jenkins

• Container image registries (Artifact Registry, Docker Hub)

• ITIL Foundation certification or equivalent.

• Experience with virtualization, infrastructure-as-code tools, and automated deployment pipelines.

• Understanding of enterprise-grade BSS architecture.

Soft Skills & Personal Attributes

• 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.

Why Join Aeris?

• Work with a cutting-edge tech stack including GCP, Kubernetes, AI/ML, and GenAI.

• Be part of an agile, globally distributed team supporting mission-critical systems.

• Learn, grow, and help shape the future of IoT connectivity and automation.

• Competitive salary, on-call compensation, and continuous learning opportunities.

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.