About the role
Who you are
- 8+ years of software engineering experience
- Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience
- Strong experience with Java, microservices, APIs, databases, and distributed systems
- Experience with NFV, virtual networking, BGP, orchestration, and cloud-native platforms
- Experience leading technical designs and guiding engineers through complex implementations
- Strong problem-solving, technical decision-making, collaboration, and communication skills
What the job involves
- Designs and develops scalable software systems and provides technical leadership for complex engineering initiatives. Leads technical designs, guides engineers, evaluates trade-offs, and collaborates across Product, Architecture, Operations, and engineering teams
- Architecture & Technical Leadership
- Leads architecture and design for complex features and services
- Provides technical leadership and guidance to engineering teams
- Drives technical discussions and helps teams make sound design decisions
- Evaluates technical trade-offs across scalability, reliability, performance, and maintainability
- Mentors engineers and promotes engineering best practices
- Collaborates across teams to drive end-to-end solutions
- Software Engineering
- Designs and develops solutions using Java, microservices, APIs, and databases
- Drives integration across multiple services and platforms
- Leads design and code reviews and promotes software quality
- Designs orchestration and automation workflows
- Troubleshoots complex issues across application, infrastructure, and networking layers
- Network Edge / NFV
- Strong understanding of NFV concepts and VNF lifecycle management
- Experience with network/security vendors, VNF images, onboarding, upgrades, and migrations
- Strong knowledge of virtual networking, BGP, routing, VLAN/VXLAN, and network connectivity
- Experience with network/VNF performance characterization, throughput, latency, and troubleshooting
- Understanding of high availability, resiliency, and recovery architectures
- Cloud, Reliability & Operations
- Experience with Kubernetes, containers, virtualization, and cloud-native architectures
- Drives improvements in automation, observability, reliability, and operational readiness
- Supports production troubleshooting, root-cause analysis, and long-term engineering improvements
- Innovation
- Evaluates emerging technologies and recommends practical adoption
- Exposure to AI/LLM models and AI-enabled application architectures
- Identifies opportunities to improve platform architecture, performance, and engineering efficiency
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