Top Tech Jobs & Startup Jobs

Designs, builds, and operates large-scale AI infrastructure for training and inference. Responsibilities include managing GPU clusters, distributed training frameworks, workload scheduling, high-performance storage, networking, reliability, cost control, and developer platforms. The engineer collaborates with ML researchers and engineers while applying strong software engineering practices, including testing, CI/CD, and code review.

Designs, implements, and operates SAP security and access-control frameworks across enterprise SAP landscapes. Responsibilities include SAP role design, user provisioning, segregation-of-duties analysis, audit support, remediation, and operation of SAP GRC Access Control and Process Control. The role secures Fiori, BTP, and cloud SAP applications; supports regulatory compliance; manages identity integrations; and partners with audit, compliance, and business teams to maintain secure, auditable environments.

Designs, implements, and operates SAP security and access-control frameworks across enterprise SAP landscapes. Responsibilities include SAP role design, user provisioning, segregation-of-duties analysis, GRC Access Control and Process Control operations, audit support, remediation, and securing Fiori, BTP, and cloud SAP applications. The role partners with audit, compliance, and business teams to maintain secure, compliant, and auditable environments.

Design, build, and operate large-scale Hadoop data processing pipelines and analytics platforms. Ingest, transform, and analyze structured and unstructured data for enterprise analytics, machine learning, and reporting. Develop reliable production systems using Spark, Hive, HDFS, streaming platforms, orchestration tools, SQL, and distributed-system principles. Troubleshoot, debug, document, and optimize data platforms for performance and cost. Preferred experience includes cloud Hadoop platforms, lakehouse formats, governance tools, Kubernetes, CI/CD, and infrastructure as code.

Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. Translate quantitative models into production software, collaborate with quants, traders, and cross-functional stakeholders, and ensure performance, accuracy, and operational reliability. Responsibilities include developing market data and FIX protocol systems, implementing concurrency and high-performance computing patterns, debugging, profiling, performance tuning, participating in code and design reviews, documenting solutions, and mentoring junior engineers.

Build and operate large-scale data systems supporting AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, dataset versioning, reproducibility, and high-throughput delivery across diverse modalities. The role requires operating petabyte-scale storage and pipeline systems, applying distributed systems and data modeling expertise, and maintaining strong software engineering practices including testing, CI/CD, and code review. Collaboration with cross-functional teams is also required.

Designs, develops, tests, deploys, monitors, and supports enterprise integrations connecting SAP S/4HANA and other SAP applications with third-party and cloud systems. Responsibilities include iFlow development, scripting, API management, integration architecture, security, troubleshooting, documentation, stakeholder collaboration, and migration of SAP PI/PO interfaces to CPI. The role also supports event-driven architectures and reliable, scalable integration solutions across the full integration lifecycle.

Design, build, and operate secure, highly available AWS cloud platforms for mission-critical workloads. Responsibilities include cloud architecture, infrastructure as code, automation, security, observability, CI/CD, container cluster operations, troubleshooting, cost optimization, and continuous operational improvement. The role partners with application, security, and SRE teams to deliver resilient, scalable cloud-native solutions.

Owns the technical operation of enterprise PLM platforms, including installation, configuration, performance tuning, upgrades, migrations, integrations, high availability, and disaster recovery. Partners with engineering, manufacturing, and functional teams to maintain a reliable and secure PLM ecosystem. Requires production experience with Windchill or Teamcenter, database and Linux administration, middleware integrations, scripting, troubleshooting, and documentation. Cloud PLM, infrastructure-as-code, CI/CD, certifications, and scaled CAD integration experience are preferred.

Designs, deploys, and operates enterprise VMware virtualization, networking, storage, disaster recovery, and hybrid-cloud platforms. Responsibilities include managing vSphere, vSAN, NSX, Tanzu, Aria, and VMware Cloud Foundation; automating infrastructure with PowerCLI, Terraform, Ansible, and vRO; managing capacity, observability, upgrades, security patching, and lifecycle operations; and troubleshooting complex compute, networking, and storage issues.