Sr Lead Network Reliability Engineer

Accountabilities:

• • Design, deploy, automate, and support highly scalable network infrastructure across AWS, Azure, and GCP, applying established cloud architecture and networking standards.
  • Architect and operate firewall, VPN, DNS, BGP, TLS, routing, security group, and hybrid-cloud networking solutions, including Palo Alto, Fortinet, Check Point, and cloud-native firewall technologies.
  • Provide network engineering leadership for production Kubernetes platforms and workloads, including Kubernetes networking, CNI implementations, ingress and gateway controllers, service discovery, DNS, and NetworkPolicy.
  • Develop and execute network infrastructure roadmaps while participating in architecture and design reviews across the broader engineering organization.
  • Apply an automation-first and development-oriented mindset to network operations, using infrastructure as code to reduce manual work, eliminate operational toil, and improve service reliability.
  • Build and maintain network performance, capacity, availability, and monitoring solutions, using advanced troubleshooting techniques such as packet capture and traffic-flow analysis.
  • Lead and support network initiatives from conception through delivery and operational ownership, ensuring projects and issues are driven to successful resolution.
  • Help grow and mature the global network engineering function by providing technical leadership, mentoring new engineers, sharing knowledge, and contributing to team direction.
  • Stay current with evolving networking technologies, cloud infrastructure practices, and industry developments, incorporating relevant innovations into the network strategy.
  • Actively leverage AI tools and methodologies to improve engineering workflows, accelerate problem solving, and drive infrastructure innovation.
  • Participate in an on-call rotation and provide operational support for critical network services when required.
  • Travel occasionally as needed to fulfill the responsibilities of the position.

  Requirements:

  • Bachelor’s degree in Computer Science or a related field, or equivalent experience, with 10+ years of professional engineering experience; experience in an enterprise SaaS environment is highly valued.
  • Deep expertise in enterprise networking, including firewalls, VPNs, DNS, BGP, TCP/IP, TLS, public-cloud networking, VPCs, hybrid routing, and security groups across AWS, Azure, and/or GCP.
  • Proven experience managing and maintaining production Kubernetes environments, with advanced knowledge of Kubernetes networking and CNI implementations; experience with multiple CNI solutions is a plus.
  • Strong understanding of ingress and gateway controller architectures, service discovery, DNS within Kubernetes, and NetworkPolicy functionality.
  • Experience operating across both traditional data center and public-cloud environments, as well as supporting multiple Linux distributions.
  • Strong programming or scripting capabilities in Golang, Python, Java, Ruby, or an equivalent language.
  • Hands-on experience deploying and managing cloud network infrastructure using Terraform, CloudFormation, Chef, Ansible, Spacelift, or comparable infrastructure-as-code and configuration-management technologies.
  • Advanced network troubleshooting skills, including packet capture analysis, traffic-flow diagnostics, and root-cause investigation.
  • Demonstrated ability to independently own complex projects, make sound technical decisions, and drive issues through resolution.
  • Strong problem-solving, analytical, and critical-thinking skills, with a willingness to investigate complex technical challenges in depth.
  • Ability to provide technical leadership, influence engineering teams, mentor colleagues, and communicate effectively across collaborative environments.
  • A strong service-ownership mindset, attention to reliability and operational excellence, and enthusiasm for continuous improvement.
  • Comfortable working autonomously in a fast-moving environment while collaborating closely with engineering and infrastructure teams.
  • Experience incorporating AI tools into engineering workflows and using emerging technologies to improve productivity and innovation.

  Benefits:

  • Annual salary range of approximately $149,000–$208,333, with the applicable range and starting compensation determined by skills, experience, and geographic location.
  • Comprehensive, location-specific benefits packages that may include medical, dental, retirement or pension plans, and life or accident protection.
  • Two company-wide paid wellness days each year.
  • Paid birthday time off during your birthday month.
  • 40 hours of paid Volunteer Time Off (VTO) annually.
  • Employee Assistance Program providing confidential, 24/7 support for emotional, financial, legal, and work-life needs.
  • Business travel protection and assistance.
  • Employee referral bonus opportunities.
  • Opportunities for professional development, including internal training and access to learning and certification resources.
  • An autonomous, collaborative, and innovation-focused working environment.
  • Opportunity to influence large-scale cloud infrastructure and work with modern networking, Kubernetes, automation, and AI technologies.