Top Tech Jobs & Startup Jobs

Design and execute end-to-end SAP S/4HANA data migrations using LTMC, SLT, and LVM. Perform extraction, transformation, validation, reconciliation, performance tuning, mock migrations and cutover runbooks while ensuring data governance, documentation, and collaboration with functional teams.

Design, optimize, and deploy ML 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 and benchmarking suites, and secure model execution. Collaborate with hardware/firmware/product teams and maintain documentation while driving responsible AI and continuous improvement.

Design, build, and operate enterprise observability platforms (metrics, logs, traces, alerts). Architect Prometheus/Grafana/Datadog stacks, define SLOs/SLIs, tune pipelines and storage, integrate with CI/CD and on-call workflows, drive cost and cardinality discipline, mentor teams, and maintain runbooks and onboarding documentation.

Design, deploy, and operate large-scale Apache Kafka/Confluent clusters (on-prem and cloud). Implement security, HA/DR, Connect, Schema Registry, streaming, observability, CI/CD/GitOps, and cost optimization. Lead incident response, onboard teams, maintain runbooks and docs, mentor engineers, and evaluate emerging streaming technologies.

Design, build, and operate secure, highly available AWS environments. Own IaC (Terraform/CloudFormation/CDK), multi-account architectures, networking, EKS/ECS, CI/CD, observability, security tooling, cost optimization, disaster recovery, automation (Python/Bash/Go), and mentor engineers.

Lead technical design and execution of large cross-team engineering initiatives. Define architecture and standards, mentor senior engineers, drive reliability and scalability improvements, lead incident response, contribute hands-on code, author RFCs/ADRs, and partner with product and executives on technical roadmaps and hiring.

Own and operate enterprise PLM platforms (PTC Windchill / Siemens Teamcenter): install, configure, upgrade, tune, integrate, and ensure HA/DR. Manage servers, databases, file vaults, and middleware; automate with scripts; monitor health; provide hypercare; document systems; and mentor engineers to improve platform reliability and performance.

Own and operate large-scale Apache Kafka/Confluent platforms: design clusters, security, HA/DR, connectors, CI/CD, observability, and developer enablement. Lead incident response, mentor engineers, document runbooks, and evaluate emerging streaming technologies to ensure reliable, performant streaming infrastructure.

Design, implement, and optimize high-performance CUDA kernels and libraries for AI and HPC workloads. Profile GPU code, tune memory and execution, enable multi-GPU/multi-node training, integrate custom operators into ML frameworks, develop benchmarks and regression tests, and collaborate across teams to deliver production-ready, performance-critical GPU systems.

Design, provision, secure, and operate enterprise Red Hat OpenShift clusters across on-prem and cloud. Automate lifecycle with GitOps/IaC, onboard app teams, manage networking/storage/observability, implement CI/CD, harden security, run DR drills, perform upgrades, and mentor junior engineers.