Top Tech Jobs & Startup Jobs

Design, deploy, and operate enterprise storage platforms (NetApp, Pure, Ceph) across block, file, and object storage. Implement SAN/NAS/object solutions for VMware, Kubernetes, and databases, automate with Ansible/Terraform/REST APIs, manage Ceph clusters, ensure data protection/replication, and drive performance, observability, upgrades, and cost optimization.

Design, build, and maintain enterprise Sitecore solutions (XP/XM/XM Cloud, Content Hub). Develop C#/.NET backend, headless front ends (JSS/Next.js), integrations, migrations, CI/CD, performance tuning, personalization, and support authoring and production troubleshooting.

Design, build, and maintain scalable test automation frameworks and production-quality test code for web, API, mobile, and microservice systems. Implement CI/CD test pipelines, contract, performance, and security testing. Collaborate with cross-functional teams, perform root-cause analysis, improve test coverage and reliability, and mentor junior QA engineers.

Design and govern end-to-end cloud-native solutions across compute, networking, storage, identity, data, and observability. Lead architecture reviews, define landing zones and blueprints, drive migrations and modernization, embed security and compliance, optimize costs (FinOps), produce architecture artifacts, mentor engineering teams, and evaluate cloud provider capabilities and adoption strategies.

Build and operate petabyte-scale data systems powering AI training and evaluation. Design ingestion, cleaning, deduplication, dataset versioning and lineage, high-throughput data loaders for GPU training, labeling and human-in-the-loop workflows, storage architecture, privacy controls, observability, and cost/performance optimizations while collaborating with ML researchers and documenting operational procedures.

Develop and maintain enterprise AEM Sites and Assets, building components, templates, workflows, OSGi services, Sling models, and front-end experiences. Implement headless/hybrid delivery, CI/CD for AEM as a Cloud Service, integrate Adobe Experience Cloud products, optimize performance and Dispatcher, troubleshoot production issues, and collaborate with authors and stakeholders.

Design, build, and operate large-scale AI training and inference platforms: GPU/accelerator clusters, scheduling, storage, networking (RDMA/InfiniBand/NCCL), observability, fault tolerance, cost optimization, developer tooling, security, and automation to support multi-tenant ML workloads.

Design and govern enterprise application architectures across cloud, integration, data, security, and infrastructure layers. Partner with stakeholders to define target-state designs, lead architecture reviews, produce architecture artifacts, guide cloud migration and modernization, validate POCs, mentor engineering teams, and ensure compliance, cost optimization, scalability, and resilience across large application portfolios.

Optimize end-to-end AI training and inference pipelines for throughput, latency, and cost. Profile bottlenecks across data, compute, communication, and memory; implement quantization, sparsity, pruning, and KV cache improvements; tune distributed training (tensor/pipeline parallelism, FSDP/ZeRO); apply compiler/kernel optimizations (Triton, XLA, TVM); build benchmarks and regression suites; evaluate hardware/software, document playbooks, and mentor engineers to productionize performance gains.

Design, develop, and maintain ServiceNow solutions across ITSM/ITOM/HRSD/CSM and custom scoped apps. Build flows, integrations, portals, CMDB improvements, reports, and dashboards. Write server/client scripts, develop scoped apps, support upgrades, troubleshoot platform issues, and document standards while collaborating with stakeholders.