Top Tech Jobs & Startup Jobs

Design, develop, and maintain ServiceNow solutions across ITSM, ITOM, HRSD, CSM and custom apps. Build flows, scripts, integrations, portals, CMDB improvements, reports, and dashboards. Support upgrades, testing, troubleshooting, and collaborate with stakeholders while applying platform best practices to ensure upgrade-safe, maintainable solutions.

Design, optimize, and deploy machine learning models for resource-constrained edge devices. Apply compression, quantization, pruning, and hardware-aware tuning. Build cross-platform inference runtimes, on-device update/versioning workflows, hybrid edge-cloud architectures, telemetry pipelines, and secure execution. Collaborate with hardware, firmware, and product teams, develop benchmarking suites and documentation, and drive responsible AI and operational practices for large device populations.

Design, build, and operate large-scale Hadoop-based data pipelines and streaming platforms. Develop ETL/ELT workflows (Spark, Hive, Pig, Sqoop), tune jobs for performance, manage storage formats (Parquet/ORC/Delta/Iceberg/Hudi), implement governance and monitoring, automate orchestration (Airflow/Oozie), collaborate with data scientists, and mentor junior engineers while documenting architectures and runbooks.

Design, develop, deploy, and operate enterprise integration flows in Oracle Integration Cloud connecting Oracle Cloud Applications, on-prem systems, and third-party platforms. Build orchestrations, adapters, VBCS apps, and Process Cloud workflows; implement API management and security; migrate legacy SOA integrations; optimize performance; provide hypercare and documentation; and mentor junior developers.

Design, develop, deploy, and operate SAP BTP side-by-side extensions and standalone apps using CAP (Node.js/Java), SAP Fiori/UI5, OData services, Cloud Foundry/Kyma, event-driven patterns, CI/CD, and BTP AI/integration services while enforcing clean-core principles and providing post-go-live support and documentation.

Design and execute end-to-end data migration for SAP S/4HANA using LTMC, SLT, and LVM. Extract, transform, cleanse, validate, reconcile, and cut over large-volume master and transactional data. Configure replication, manage landscapes, optimize load performance, support mock migrations and cutover runbooks, and maintain documentation and data governance throughout implementation.

Lead enterprise architecture and technical strategy to design, build, and operate highly scalable, fault-tolerant distributed systems. Drive microservices transformation, multi-region resiliency, observability, CI/CD and reliability engineering practices. Mentor senior engineers, perform architectural reviews, optimize performance and capacity, and partner with leadership to guide technology roadmaps and long-term platform modernization.

Design, deploy, automate, and operate cloud networking across major cloud providers. Architect VPC/VNet, transit hubs, hybrid connectivity, edge networking, DNS, private service connectivity, and security controls. Implement Terraform IaC, Kubernetes networking, observability, and cost optimization. Troubleshoot complex network issues and mentor junior engineers.

Design and implement high-performance backend services and cloud-native applications in Go. Build gRPC/REST APIs, Kubernetes controllers/operators and CLI tools; integrate messaging and data stores; profile and optimize performance; add observability and tests; lead code reviews, mentor engineers, and maintain technical documentation and internal platform libraries.

Build and operate petabyte-scale data systems for AI training and evaluation: ingest multi-modal data, ensure quality, lineage, versioning, high-throughput loading for accelerators, privacy controls, labeling workflows, observability, and cost/performance optimization while collaborating with ML researchers.