Top Tech Jobs & Startup Jobs

Design, build, and operate large-scale distributed backend systems. Architect partitioning, replication, and consistency strategies; implement resilient APIs and event-driven services; optimize performance; drive incident response; mentor engineers; collaborate with SRE/platform teams; maintain documentation and runbooks.

Design, deploy, and operate enterprise Red Hat OpenShift clusters across on-prem and cloud. Automate lifecycle with GitOps and IaC, onboard developer teams, manage networking/storage/observability, harden platform security, build CI/CD pipelines, execute upgrades and DR drills, tune autoscaling, and mentor engineers to improve platform reliability and developer experience.

Design, deploy, and operate enterprise-scale VMware virtualization, SDS, and SDN platforms (vSphere, vSAN, NSX) across on‑prem and hybrid clouds. Build and automate Tanzu Kubernetes Grid and provisioning using PowerCLI, Terraform, Ansible, and vRO. Manage lifecycle, upgrades, DR/SRM, capacity, observability, and troubleshoot compute/network/storage issues while integrating VMware with cloud providers.

Own and operate enterprise PLM platforms (Windchill/Teamcenter): install, configure, upgrade, tune, integrate, and ensure HA/DR. Manage databases, servers, CAD data, scripting automation, monitoring, documentation, incident triage, and mentor engineers to improve platform reliability and performance.

Design, build, and maintain production-grade, reusable Terraform modules and automation pipelines. Enforce policy-as-code, manage state at scale, implement testing and CI/CD for infrastructure, drive multi-account/multi-cloud provisioning, migrate legacy ClickOps to IaC, embed security and cost controls, and mentor teams on Terraform best practices.

Design, build, and maintain enterprise-grade, cloud-native Java microservices and responsive front-end applications. Own end-to-end delivery including APIs, observability, CI/CD, testing, performance tuning, and documentation while collaborating in Agile teams.

Design, build, and operate petabyte-scale data pipelines for AI training and evaluation across multimodal data. Implement ingestion, cleaning, deduplication, dataset versioning, lineage, high-throughput loaders, labeling/active learning workflows, observability, privacy controls, and cost/performance optimizations. Collaborate with ML researchers and document operational procedures.

Build and maintain enterprise AEM Sites and Assets using modern AEM patterns. Develop OSGi services, Sling models, HTL front-ends, headless GraphQL APIs, CI/CD pipelines, Dispatcher and performance tuning. Integrate AEM with Adobe Experience Cloud and external systems, troubleshoot production issues, and collaborate with authors, designers, and product owners.

Design, build, and operate PeopleSoft integrations using Integration Broker, REST/SOAP, PeopleCode, and Application Engine. Implement security, error handling, performance tuning, migrations from legacy integrations, cloud/middleware connectivity, documentation, and provide post-go-live support and mentorship.

Design, build, and operate high-performance ML model serving platforms for LLMs, vision, and recommendation models. Focus on routing, batching, autoscaling, GPU utilization, observability, security controls, deployment workflows, incident response, and tuning for low-latency, high-throughput production inference.