Storage Engineer

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 global Infrastructure team designs, builds, and operates QRT’s high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide. Your Future Role within QRT You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT’s high-performance on-premise datacentre. * Design and evolve the network automation framework (source of truth, templating, validation, change control). * Build idempotent automation to provision and operate data centre fabrics at scale. * Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.) * Capture network intent as code, ensuring peer reviews and quality gates. * Instrument the network with telemetry, alerting, and SLOs to drive automated remediation. * Adhere to NetDevOps practices and share knowledge across the team. * Collaborate with network and platform engineers to translate designs into automated workflows. * Deliver frequent, incremental improvements through safe, tested changes. * Monitor vendor and industry developments and propose practical adoption paths. Your Present Skillset * Advanced Python development for production-grade tools and services. * Go (preferred) for performant tooling. * Strong Ansible experience (roles, collections, YAML/JSON data models). * Git proficiency including branching, pull requests, and semantic versioning. * Observability fundamentals (Prometheus, Grafana, logging and tracing). * Source of truth/CMDB systems (NetBox, Nautobot etc.). * Linux networking (iptables, DHCP, DNS) and strong Bash scripting. * Workflow orchestration (Temporal or equivalent). * Network validation and testing tools (pyATS, NAPALM etc.). * Containers and orchestration (Docker, Kubernetes). * Secure secrets and configuration management (Vault, PKI best practices). * Experience with data centre fabrics, QoS, and high-performance networking is a plus. 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-1534 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. 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.  As an Engineering Manager, you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale. 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 engineering leaders to build out both the Lakebase product and our London presence.  Key responsibilities include: * Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust. * Manage the development and rollout of storage services that host millions of customer databases across dozens of regions * Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure. * Lead operational excellence in 24/7 operation of our system The impact you will have: * Hire great engineers to build an outstanding team. * Support engineers in their career development by providing clear feedback and develop engineering leaders. * Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence). * Work with engineering and product leadership to build a long-term roadmap. * Coordinate execution and collaborate across teams to unblock cross-cutting projects. What we look for: * Experience with building and shipping storage systems where correctness and performance are essential * BS (or higher) in Computer Science, or a related field * 2+ years of experience building and leading a team of engineers working in a related system * Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc. * Ability to attract, hire, and coach engineers who meet the Databricks hiring standards - can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members; can gain trust of the team and guide their careers * Comfort working on cross-functional projects with the ability to deeply understand product and customer personas 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.

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. You will join a Network Engineering team responsible for designing and operating large-scale datacentre and high-performance computing (HPC) network infrastructure. The team works closely with Quantitative Researchers, Traders, and infrastructure teams to ensure reliable, high-performance connectivity across compute and storage platforms. Your Future Role within QRT You will: * Architect, engineer and deliver large-scale datacentre network infrastructure supporting HPC environments * Design and build network fabrics with a focus on scalability, resilience and performance * Support connectivity across compute, storage and cloud platforms * Troubleshoot complex issues across large-scale network environments * Collaborate with project management and engineering teams across the organisation * Engage with network vendors and contribute to engineering discussions on products and solutions * Contribute to a software-driven network engineering approach, including automation and tooling * Stay informed on industry trends and emerging technologies to evolve network infrastructure Your present skillset * Demonstrate expert knowledge of datacentre networking technologies, including EVPN/VXLAN * Demonstrate expert knowledge of routing protocols and resilient fabric design, with proven experience designing, building and troubleshooting large-scale datacentre network fabrics * Understand switch ASICs, buffering models, platform capabilities and performance trade-offs * Have experience with RDMA, RoCE and/or UEC networks * Understand datacentre physical standards, including fibre, optics, cabling, switch airflow, cooling and power * Have knowledge of WAN engineering and cloud interconnects supporting hybrid infrastructure and cloud bursting * Have at least basic practical knowledge of Python or Go/Golang, Ansible, Git and AI-assisted engineering tools such as Claude * Be comfortable getting hands-on with smaller engineering tasks as well as larger strategic projects * Be a highly collaborative team player who takes ownership of complex problems and major project deliverables, communicating clearly and working across teams to drive successful outcomes 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.