Top Engineering Jobs

Lead architecture and delivery of a secure, low-latency Kubernetes-based compute platform for AI agents and untrusted workloads. Own isolation, scheduling, lifecycle, networking, policy, observability, and control-plane capabilities across GCP and AWS. Drive cross-team outcomes from design to adoption, improve developer experience via APIs and automation, and champion reliability, security, performance, and cost efficiency while mentoring engineers and setting technical direction.

Lead design and implementation of search and data systems, define architecture and roadmap, mentor engineers, collaborate cross-functionally to deliver scalable, reliable data and search features, and drive technical strategy.

Lead technical vision and architecture for a cloud-hosted AI front proxy that governs internal model calls for cost, security, context, and attribution. Design a highly available, low-latency proxy spanning MDM, cloud service, and browser extension; implement cost enforcement, semantic caching, model routing, security hooks, context integration, observability, and cross-team coordination while mentoring engineers.

Lead Partner Solutions strategy in India to drive enterprise cloud and AI adoption. Design scalable Atlassian-based architectures, enable partners with workshops, packaged solutions, and GTM plans, and guide customers through secure cloud migrations to realize measurable platform value.

Lead and scale a commercial Solutions Engineering team for DX. Recruit, mentor, and coach SEs, drive pre-sales strategy and POC playbooks, partner with Sales/Product/Engineering, allocate resources across a high-velocity pipeline, and define KPIs to align technical efforts with revenue and commercial goals.

Senior full-stack engineer who builds backend-heavy features and customer-facing React UIs. Own end-to-end delivery: design, implement, test, monitor, and iterate on scalable RESTful microservices using raw SQL and cloud patterns. Collaborate with product and design, review code, ensure reliability, security, and data correctness.

Lead post-sales technical implementations for enterprise customers of the DX platform, design custom integrations, map platform architecture into customer workflows, run technical workshops, advise on developer experience and deployment best practices, and relay customer technical feedback to Product and Engineering to influence the roadmap.

Lead backend architecture and deliver reusable solutions, unblock engineering teams across the development lifecycle, drive complex design and bug fixes, set code review standards, mentor engineers, collaborate on company-wide projects, and make technical decisions balancing correctness, performance, and customer impact.

Build a cross-platform endpoint agent to detect and attribute AI-generated code at the line level, design pipelines to capture/classify/store developer and agent activity, work with Git internals, integrate with coding agents, and ensure reliable, invisible production deployments across macOS, Linux, and Windows.

Lead technical roadmap and delivery for Search Data: design and evolve large-scale data platforms and pipelines (streaming and batch), simplify legacy systems, ensure data quality and freshness for search/AI, drive operational excellence, mentor engineers, and define architecture and standards across teams.