Network Engineer (Service Provider WAN)

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: The successful candidate will join the global infrastructure team at QRT and you will be responsible for managing and maintaining the QRT Network Infrastructure and Automations for the firm. We implement a strict IAC (Infrastructure as Code) mindsight at QRT, and therefore it is crucial that any candidates must be able to demonstrate operation of complex infrastructure at scale, which have been delivered through a software and automation driven mindset. The team will be focused on maintaining the service availability, reliability, and security of the platform. Developing observability tooling, self-healing/event driven automations, and performing troubleshooting activities. Providing on-going support and operational improvements for existing network infrastructure, whilst building our capability to operate a high-performance compute datacentre. Your present skillsets: * Experience monitoring and resolving incidents across Low Latency LAN, Datacentre LAN, WAN transit, and Internet /cloud connectivity. * Expert troubleshooting skills of network infrastructure and collaborating with vendor support teams when required to perform deep investigation. * Oversight and development of monitoring dashboards, responding proactively to alerts with appropriate level of priority. Taking responsibility for continuous improvement of alerting and the overall observability stack. * Running post incident reviews finding opportunities to improve the availability and reliability of our infrastructure offerings. * Delivery of BAU changes through automation wherever possible, working with research and other infrastructure engineering teams in a highly collaborative manner. * Perform trend analysis using various data sources aiming to seek out potential issues, improve correlation and finding capacity concerns. * Defining SLOs to ensure the high availability of network services and infrastructure. * Ability to provide considerable support of network automation and associated tooling such as CI/CD pipelines, orchestration, Ansible, Python, GitOps practices, amongst others. * Be responsible for releasing into production environments by providing high quality reviews of merges and scheduled pushes of changes/features/capabilities. * Initiative to find opportunities to automate high frequency tasks. Leading the effort to deliver a solution alongside Network Engineering, Infra Automation/DevOps and across functions. * You will have good knowledge of infrastructure metric collection and visualisation tooling such as Kibana, Splunk, Prometheus and Grafana. * You will stay informed on industry trends and emerging technologies to ensure our automation and practices remains cutting-edge. * Clear networking knowledge at Cisco CCNP level either through demonstrable experience, or verifiable qualifications. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. On-Call and out of hours work will be a future requirement of this role.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Enterprise Infrastructure team is responsible for designing, operating, and evolving QRT’s global enterprise technology platforms. The team ensures the reliability, security, and scalability of core infrastructure services, including enterprise networking, that support corporate systems, identity platforms, collaboration tools, and shared technology services across regions. You will work closely with Infrastructure, Security, Workplace Technology, and Architecture teams. Your Future Role within QRT You will: * Define and drive the enterprise network strategy aligned with firm-wide technology objectives * Lead the design, implementation, and evolution of global enterprise network infrastructure (LAN, WAN, Wi-Fi, data centre, and cloud connectivity) * Own network availability, performance, and resilience, including redundancy, failover, and disaster recovery capabilities * Establish and manage network SLAs, SLOs, performance metrics, and incident response processes * Drive automation across network provisioning, configuration management, and compliance * Promote Infrastructure-as-Code and standardisation of network configurations across environments * Partner with Security teams to enforce network segmentation, access controls, and secure design principles * Collaborate with Application, Workplace Technology, and Architecture teams on connectivity and integration requirements * Lead and mentor network engineers across regions, setting standards and best practices * Manage vendor relationships, including network hardware, telecom providers, and service partners * Oversee capacity planning, lifecycle management, and continuous improvement of network platforms Your Present Skillset * 10+ years’ experience in network engineering, including leadership responsibility in enterprise environments * Strong expertise in enterprise networking technologies (routing, switching, TCP/IP, DNS, DHCP) * Experience with WAN technologies, including MPLS, SD-WAN, and internet-based architectures * Hands-on knowledge of data centre and campus network design (e.g., spine-leaf, high availability architectures) * Experience with network security principles (segmentation, firewalls, VPNs, zero trust concepts) * Familiarity with cloud networking (e.g., AWS, Azure, or GCP connectivity and hybrid network design) * Experience with automation and scripting (e.g., Python, Ansible, Terraform) applied to network infrastructure * Strong understanding of network monitoring, observability, and performance optimisation tools * Proven experience operating global network environments with high availability requirements * Experience working within regulated or controlled environments * Ability to lead distributed teams and drive network transformation initiatives * Structured, risk-aware approach to decision-making with strong ownership * Clear communication skills and ability to engage with both technical and business stakeholders QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Databricks

P-1514 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence.  Below are some example teams you can join: Lakebase Platform Reliability: Constantly evolving Lakebase Reliability.  That includes cross-functional infrastructure, observability, SLI/SLOs definition and measurements, as well as achieving higher operational efficiency without the need for humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and services Lakebase Manager (LBM): Build and operate the central control plane that owns the core logic for Lakebase — database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component — storage, compute, proxy, and console — managing the full database lifecycle at scale with a focus on reliability. Lakebase Proxy: Build the heart of the Lakebase data path — the network edge that every customer touches. The proxy handles all client connections and transfers every byte of query traffic, serving every data protocol: Postgres, HTTP, WebSockets, and Data API. We route and manage large volumes of concurrent connections, solving load balancing, authentication, and data access at high throughput. We focus on performance, observability, and reliability to ensure the data path is fast and resilient. The impact you will have:  Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. * Develop product features that empower our customers to easily store and access their data. * Solve reliability problems related to Lakebase. * Actively find causes of downtime and systematically improve or remove root causes. * Help the org define SLIs, meet SLOs, and drive long-term reliability improvements. What we look for: * BS degree (or higher) in Computer Science, or a related field. * 8+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Knowledge of SQL.   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.