System Engineer

Description

AudioCodes is an advanced VoIP, Data networking, Call Recording products and Solutions Company.

We are a dynamic R&D department that designs and develops AudioCodes Call Recording solutions, looking for a long-term relationship with Developer to be a part of a team developing cutting edge, SaaS enterprise solution enabling to capture, organize, and share meeting content.  We are looking for a professional who is passionate to investigate, learn and implement new technologies, as well as happy to go beyond the immediate job description.

Responsibilities:

·        Design and architect scalable backend services using cloud-native technologies

·        Lead integration strategies for complex 3rd party services and APIs

·        Analyze and translate business requirements into technical solutions

·        Drive architectural decisions through research, POCs, and technical leadership

·        Champion Test Driven Development and code quality best practices across the team

·        Optimize system performance and identify bottlenecks proactively

·        Mentor junior developers and conduct code reviews

Requirements

·        BS degree in Computer Science or Software Engineering

·        At least 5 years of backend development experience

·        Strong experience with databases: 3+ years

·        Proven track record of designing and deploying production cloud-based applications

·        Deep understanding of cloud architecture patterns and microservices design

·        Experience with containerization and orchestration platforms (Docker, Kubernetes)

·        Familiarity with cloud security principles and implementation

Big Plus:

·        Experience with multiple cloud providers (Azure, AWS, GCP)

·        Production experience managing Kubernetes clusters

·        Strong networking knowledge (VPC, load balancing, DNS)

·        Expertise in distributed systems and event-driven architectures

·        Experience leading technical initiatives or small teams

·        CI/CD pipeline design and DevOps practices

·        Extremely high self-learning ability and innovative problem-solving approach

·        Independent decision-making in ambiguous and fast-paced environments