Top Tech Jobs & Startup Jobs

Lead the architecture, design, development, configuration, and implementation of SAP MDG solutions covering Business Partner, Material, and Finance master data. Configure BRF+ rules, Web Dynpro ABAP, Fiori/UI5 interfaces, and data replication integrations using DRF, ALE, and SOA. Provide technical leadership, performance optimization, quality assurance, documentation, client advisory, stakeholder coordination, code reviews, and mentorship through build, testing, and go-live.

Configure, govern, optimize, and troubleshoot multilingual Adobe AEM web platforms, DAM integrations, templates, components, workflows, permissions, publishing, and releases. Translate business needs into technical specifications, validate component behavior, support production delivery, and improve authoring and publishing processes across locales. Collaborate with marketing, creative, and technology teams while maintaining platform standards, documentation, and governance.

Identify and analyze end-to-end business processes, uncover operational challenges, and translate them into Robotics, AI, and low-code automation opportunities. Responsibilities include process discovery and mapping, value assessment, prioritizing use cases, collaborating on solution designs and roadmaps, supporting pilots, and recommending process simplification, standardization, and digitization. The role requires strong operational excellence, analytical problem-solving, stakeholder management, and communication skills.

Leads strategy-to-run delivery of AI systems and provides end-to-end architecture leadership. Designs data and retrieval architectures, responsible AI practices, secure cloud foundations, and Azure migration strategies. Supports application and database modernisation, cloud-native transformation, microservices, enterprise integration, governance, security, and measurable business outcomes. The role also requires technical leadership, stakeholder influence, strategic thinking, documentation, knowledge transfer, and collaboration with technology and business teams.

Develop and optimize a global derivatives algorithmic trading platform, including exchange connectivity, market-data processing, order gateways, and trading engines. Implement trading algorithms, integrate exchange APIs, improve multithreaded performance and reliability, maintain testing suites, enhance monitoring, troubleshoot production issues, and manage releases and deployments. Collaborate closely with traders, quants, technologists, and operations teams in a high-pressure trading environment.

Build and deploy production-grade generative AI and LLM solutions, including advanced RAG pipelines, prompt strategies, agentic applications, enterprise integrations, and high-throughput unstructured-data processing. Develop with Python and modern ML and LLM frameworks, integrate vector databases, and implement MLOps practices for evaluation, monitoring, CI/CD, and reliable deployment. Collaborate with stakeholders and independently solve ambiguous technical problems while applying GenAI safety guardrails.

Provides hands-on junior technical support, including floor-walking after moves, resolving first-line issues, installing and de-installing desktop and AV equipment, cabling, desk testing, asset management, equipment handling, issue tracking, and administrative updates. The role also supports deliveries, waste separation, equipment preparation, and escalation of unresolved incidents. Network and comms room installation experience is desirable but not essential, provided the candidate is willing to learn.

Collaborate with application teams, architects, and technical program managers to analyze requirements and deliver secure cloud workload solutions. Develop reusable Jenkins and shell-script automations, troubleshoot Kubernetes, Docker, Helm, and CI/CD environments, resolve technical blockers, and support end-to-end integrations. Apply DevOps and Agile practices while adopting new technologies, resolving escalations, and communicating effectively across teams.

Provides Level 2 support and administration for Microsoft 365 collaboration services, primarily Microsoft Teams. Responsibilities include troubleshooting meetings, calls, chat, users, policies, devices, and applications; managing tickets and service levels; administering Teams accounts, teams, channels, memberships, settings, and apps; maintaining platform availability, security, governance, capacity, and documentation; supporting change and problem management; escalating complex issues; and training users and administrators.

Develop a current-state assessment and target-state OT data architecture, including logical and canonical data models, source-to-target mapping, data product standards, metadata, lineage, normalization, and governance recommendations. The role requires translating complex technical source structures into reusable business models and working with time-series, telemetry, event, and operational data in regulated, asset-intensive, or safety-critical environments.