Top Tech Jobs & Startup Jobs

Design, develop, deploy, and operate Oracle Integration Cloud integrations connecting Oracle Cloud Applications, on-prem systems, and third-party platforms. Build VBCS and Process Cloud automations, configure adapters, implement API management and security, migrate legacy SOA integrations, optimize high-volume flows, provide post-go-live support, maintain documentation, and mentor junior developers.

Lead enterprise architecture and design of highly scalable, fault-tolerant distributed systems. Define standards for microservices, API governance, observability, CI/CD, and reliability engineering. Drive modernization, capacity planning, performance tuning, incident response, cross-team technical initiatives, and mentor senior engineers while partnering with leadership on technology roadmaps.

Lead architecture and execution of large cross-team engineering initiatives, mentor senior engineers, drive reliability and scalability improvements, participate in design/review, author RFCs, and contribute hands-on high-impact code while partnering with product and leadership to translate strategy into engineering roadmaps.

Own and operate large-scale Apache Kafka/Confluent platform environments: architect clusters, implement security, HA/DR, CI/CD and observability, build Kafka Connect pipelines, onboard teams, lead incident response, mentor engineers, and maintain documentation and platform automation.

Lead architecture and direction of an enterprise data platform across ingestion, storage, processing, governance, and consumption. Define standards for modeling, formats, partitioning, security, and disaster recovery. Architect lakehouse/warehouse/streaming solutions, integrate governance/catalog tools, guide cost optimization and capacity planning, mentor engineers, and produce architecture artifacts while partnering with ML, BI, and product teams.

Lead end-to-end Oracle Fusion implementations and transformation programs across Finance, Procurement, Supply Chain, PLM, and HCM. Manage project governance, requirements, design, configuration oversight, testing, data migration, integrations, go-live, hypercare, vendor coordination, stakeholder communication, and ensure delivery on time and within scope.

Design, execute, and operationalize LLM fine-tuning workflows (supervised, DPO, RLHF). Lead dataset curation, build scalable distributed training pipelines, optimize training throughput, run rigorous evaluations and safety checks, operate GPU cluster training, manage model artifacts, and mentor engineers to productionize reliable LLMs.

Manage architecture, installation, configuration, performance tuning, and day-to-day operations of enterprise SAP landscapes (S/4HANA, ECC, BW/4HANA, Solution Manager). Administer HANA databases, lead upgrades/migrations (on-prem/cloud/Rise), implement HA/DR, automate tasks with scripting/Ansible, manage transports and security patches, provide 24x7 on-call support, and mentor junior engineers.

Design, optimize, and deploy ML models for resource-constrained edge devices. Apply compression, quantization, and hardware-aware optimizations, build cross-platform inference runtimes, implement secure on-device update/versioning, design hybrid edge-cloud architectures, create telemetry and benchmarking suites, and collaborate with hardware, firmware, and product teams to ship reliable production edge AI solutions.

Lead architecture and execution of large, cross-team engineering initiatives. Define standards, run design reviews, mentor senior engineers, improve reliability and scalability, lead incident response, contribute hands-on code, author RFCs and drive technical roadmaps and hiring for long-term platform delivery.