The Senior Network Engineer will scale networks, automate processes, enhance operations using AI, lead support tasks, and produce documentation.
About the PositionAbout You
We are looking for a Senior Network Engineer who can help us scale our networks to meet increasing business demands, drive standardization through automation, and look for opportunities to leverage AI to improve operations.
Jane Street’s numerous distributed systems run on a multi-vendor, highly available network infrastructure and handle a variety of traffic profiles – from high-speed trading to everyday internet connectivity. A typical day on the Network Engineering team includes:
- Collaborating on new data center and colocation initiatives, WAN routing optimization, and other cross-team design projects
- Interfacing with stakeholders to assess business needs and develop innovative network features/capabilities
- Leading both reactive support tasks and proactive infrastructure improvements, focusing on thorough documentation to reduce outages and enhance troubleshooting
- Exploring AI/ML-driven enhancements to streamline operations and continuously improve service quality
- Using your networking expertise to help us scale our team’s infrastructure at large while maintaining high standards for network performance and reliability
- Documenting solutions and processes that help the team work more efficiently, using a meticulous attention to detail
If you have a passion for innovating within a complex network ecosystem, enjoy building scalable systems and documentation structures, and are curious about how AI can refine network operations, this role provides a platform to make a significant impact at Jane Street. We look forward to learning from your expertise and unique perspective.
- Have 7+ years of experience operating and deploying network infrastructure, with 3+ years dedicated to ground-up network design
- Have deep experience with routing and network protocols (OSPF, BGP, PIM-SM), and the troubleshooting of transport protocols (TCP/UDP)
- Comfortable operating in Linux environments and proficient in at least one programming language
- Strongly inclined to automate workflows and explore AI/ML approaches to improve efficiency or reduce overhead
- Eager to produce comprehensive, scalable documentation that benefits the entire team
- Have a demonstrated ability to balance multiple priorities, switch contexts effectively, and maintain a high level of customer service
- Excellent collaborator and communicator; ready to build strong partnerships with diverse global teams and stakeholders to share your recommendations, issues, and outcomes
- Have a flexible, reliable mindset and enthusiasm for sharing knowledge with peers
- Any prior exposure to overlay networks (EVPN, VXLAN) is a plus
If you're a recruiting agency and want to partner with us, please reach out to [email protected].
Jane Street New York, New York, USA Office
250 Vesey Street, New York, NY, United States, 10281
Similar Jobs
Healthtech
Design, operate, and modernize enterprise clinical communication platforms (nurse call, SIP, paging, contact center, middleware) to ensure resilience, high availability, and integration with clinical workflows. Drive automation, failure-mode analysis, service reliability, and collaborate with engineering, operations, and clinical teams to prioritize live-site requirements and improve patient-care communications.
Top Skills:
AutomationClinical MiddlewareContact Center PlatformsN-Tier SolutionsNurse Call SystemsOperator ConsolesPaging SolutionsSipUnified Communications
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage and support enterprise DNS, DHCP, IPAM and load balancing infrastructure across on-prem, cloud, and data centers. Troubleshoot Tier 2/3 incidents, perform upgrades and security hardening, implement automation, follow ITIL change processes, and collaborate with Network, Cloud, Application, and Security teams to ensure high availability, compliance, and disaster recovery readiness.
Top Skills:
AnsibleAWSAws AlbAzureBluecatCitrix Adc/NetscalerDhcpDigDnsDnssecDohDotF5 Big-IpGCPInfobloxIpam(Ddi)NlbNslookupPowershellPythonRemedyRest ApisRoutingRpzServicenowSsl/TlsSubnettingTcp/IpTcpdumpVlansWindows Server DdiWireshark
.jpg)
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Lead design, build, and operation of security infrastructure for cloud and corporate networks. Manage AWS and OCI environments, network security (firewalls, segmentation, WAF, VPN), zero-trust, identity and access, IaC automation, vulnerability management, detection engineering, and incident response while partnering across IT and engineering teams.
Top Skills:
AWSCloud AutomationDetection EngineeringEndpoint SecurityFirewallsIdentity And Access ManagementIncident ResponseInfrastructure As CodeNetwork SegmentationOracle Cloud InfrastructurePciPythonServer SecuritySocVpnVulnerability ManagementWafWireless NetworksZero Trust
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
