Senior Cloud Applications Engineer (C/C++/Go)

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values.

We're seeking a highly motivated and experienced Senior Cloud Applications Engineer to join our innovative engineering team. You'll play a crucial part in shaping cloud-native architectures, optimizing performance, and driving cutting-edge development in a dynamic, fast-paced environment. If you're a hands-on engineer with a deep understanding of cloud technologies and a desire to contribute to groundbreaking solutions, we encourage you to apply.
What You'll Do:
Design and develop robust cloud-native applications and services within our cloud environment.
Provide technical leadership and mentorship to junior engineers, sharing your expertise and fostering best practices within the team.
Contribute to elevating the team's software development practices to industry standards.
Drive the design and development of RIC/xApp/rApp software that leverages our unique cluster-level awareness.
Collaborate on the optimization of cellular infrastructure applications on both cloud-based X86 and ARM platforms.
Actively support product delivery activities and Proof of Concepts (PoCs), ensuring seamless execution and successful outcomes.
Analyze and enhance product performance, continuously seeking ways to improve efficiency, scalability, and reliability.
Translate complex technical specifications into actionable software requirements and detailed development plans.
What you should have:
5+ years of experience in software development, with a strong focus on cloud-native applications.
Strong programming skills in C/C++/Go.
Excellent communication and collaboration skills with a proven ability to work effectively within an agile team.
Familiarity with the entire software development lifecycle, including documentation, design, implementation, unit tests, and debugging skills.
Extensive experience with cloud-native architectures, Kubernetes, DB’s, and container orchestration.
Proficiency in microservices development, API design, and messaging frameworks (such as Kafka, gRPC, REST).
Experience with CI/CD tools like Jenkins, GitLab, Helm, and Terraform - advantage
Familiarity with O-RAN architecture, RIC platforms, and E2 interface protocols is a plus - advantage
A systematic problem-solving approach, coupled with a strong sense of ownership and drive.
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for RAN optimization - advantage.
Education:
B.Sc./ M.Sc /B.Tech /M.Tech in Computer Science or Electrical Engineering