Top Tech Jobs & Startup Jobs

Build and maintain robust software systems supporting scientific applications. Responsibilities include designing APIs, CLI tools, software modules, distributed systems, ML and hardware integrations, data pipelines, automated testing, benchmarking, deployment, observability, and CI/CD. Collaborate with data engineers, AI scientists, software engineers, and domain experts while promoting strong engineering, security, and documentation practices across multidisciplinary R&D teams.

Provides administrative and logistical support for student events and programming, including registrations, venues, catering, communications, records, supplier administration, meetings, and event evaluation. Manages team inboxes, Salesforce data, documentation, purchase orders, invoices, and stakeholder follow-up while supporting a diverse student community. The role requires strong organization, communication, confidentiality, cultural awareness, and flexibility for occasional out-of-hours event work.

Build and operate high-performance GPU clusters for machine learning training and inference. Design high-throughput compute and storage pathways, optimize I/O and data locality, benchmark distributed systems, and resolve performance bottlenecks. Establish observability, resilience, security automation, quotas, and capacity planning while partnering with research and data teams to scale ML experimentation pipelines.

Build and operate resilient cloud and compute platforms for scientific workloads, including GPU clusters, Kubernetes, networking, storage, CI/CD and GitOps pipelines. Implement Terraform-based infrastructure, Kyverno and YAML Policy-as-Code governance, monitoring, alerting, telemetry and SLOs. Partner with research and data teams to provide self-service capabilities for Python notebooks, ML workloads and distributed computing.

Design, build, automate, secure, and operate scalable Oracle Cloud Infrastructure platforms for enterprise, research, and AI workloads. Manage networking, compute, storage, IAM, monitoring, security, backups, disaster recovery, patching, and reliability. Develop Terraform-based infrastructure and Git CI/CD pipelines, support cloud-native teams with reusable patterns, optimize cost and performance, and maintain documentation, standards, and operational procedures.

Designs, implements, administers, and supports secure hybrid IT infrastructure across on-premises, Azure, OCI, and other cloud environments. Responsibilities include managing Windows and Linux servers, VMware virtualization, storage, networking, backups, disaster recovery, monitoring, patching, capacity planning, incident resolution, documentation, security controls, and infrastructure automation. The role supports enterprise applications, scientific research, and AI workloads while delivering resilience and service improvements.

Administer the scholarship selection process by responding to applicants, troubleshooting applications, researching achievements, sending communications, tracking agreements, conducting due diligence, maintaining databases, supporting interviews and Zoom meetings, and assisting shortlisted candidates with Oxford applications. The role requires highly organized, accurate, discreet administration, strong communication, database skills, Microsoft Office proficiency, and flexibility to work evenings and weekends during peak periods.

Provides administrative and operational support to the Education & Scholarships team, including scheduling, meeting coordination, note-taking, project tracking, CRM data maintenance, process improvement, research, documentation, recruitment onboarding, training, and event logistics. The role also supports system testing, stakeholder communications, and accurate handling of personal information in a busy, fast-paced environment.

Operate and improve security monitoring across endpoints, servers, cloud platforms, and networks. Investigate alerts, respond to incidents, develop detection rules and automation, apply threat intelligence, and support vulnerability management. The role also produces incident documentation, maintains runbooks, contributes to audits and risk assessments, and collaborates with IT, research computing, governance, and legal teams to protect research environments.

Build and operate an end-to-end agentic AI platform for scientists, spanning model endpoints, orchestration, tools, state management, evaluation, observability, failure recovery, APIs, and user interfaces. Work directly with scientists to translate workflows into scalable capabilities, establish technical direction, and shape the product roadmap. The role also requires production-ready, policy-aware systems with durable audit trails and independent ownership from prototype through deployment.