Top Tech Jobs & Startup Jobs

Lead architecture for an in-flight ServiceNow CMDB programme. Assess existing architecture, data models, integrations, discovery, governance, risks and backlog; identify data quality and ownership gaps; refine CI structures, relationships, identification and reconciliation rules; improve integrations and CMDB governance; and provide hands-on guidance across build, testing, remediation, service mapping and adoption. Collaborate with platform, infrastructure, security, application, cloud, network, ITSM, ITOM, ITAM and business service teams.

Design, implement, tune, and test vehicle control systems that convert planned trajectories into safe steering, braking, and acceleration commands. The role involves feedback control, vehicle dynamics, real-time software, CAN communications, actuator interfaces, modeling, system identification, debugging, and physical vehicle testing. The engineer will deploy and validate at least one control system on a real vehicle, including tuning, safety mechanisms, and performance measurement.

Designs, builds, and operates scalable data platforms, data lakes, and high-volume batch and streaming ingestion pipelines. Manages Kubernetes infrastructure with KEDA autoscaling, provisions the data stack using Terraform, and develops distributed data solutions for analytics, applications, AI workloads, and model execution. Ensures data quality, compliance, governance, reliability, and performance while providing technical guidance and improving infrastructure, CI/CD, testing, and system design practices.

Design and execute comprehensive test cases; perform functional, integration, API (REST/OpenRTB), database, exploratory and UAT testing; create clear bug reports with reproduction steps; participate in test planning and reviews; collaborate with developers to resolve defects.

Build and maintain customer-facing web applications using TypeScript and React within a microservices environment. Own features through refinement, design, implementation, testing, deployment, and production monitoring. Contribute to CI/CD pipelines, accessibility, responsive design, observability, architecture discussions, and reliable engineering practices. Use AI tools in daily development and collaborate with engineers across the domain.

Design, develop, and own production-grade backend features from architecture through deployment. Build robust, scalable server-side systems for complex performance requirements, maintain code infrastructure, and integrate large language models, vector databases, and third-party AI services to create AI-powered APIs and services.

Design, develop, and optimize high-performance Go backend services for a real-time advertising bidder. Analyze distributed systems, resolve scalability and latency issues, integrate data-driven and machine learning capabilities, collaborate with product and engineering teams, and oversee features from concept through production.

Design, develop, and optimize high-performance Go backend services powering a real-time advertising bidder. Lead architecture and technology decisions, address distributed-system scalability challenges, uphold engineering quality through reviews and best practices, and collaborate with Product, Data Engineering, and Machine Learning teams. Mentor engineers, drive initiatives from concept through production, and help build a culture of ownership and continuous improvement.

Design and build scalable agentic workflows and microservices (primarily Python). Integrate generative AI, LLMs, and RAG into production. Implement observability, autonomous monitors, AI-SDLC practices, and mentor engineers while driving engineering quality.

Design and scale predictive ML systems for VIS.X, taking end-to-end ownership of various high-impact ML initiatives and shaping the ML architecture.