Top Tech Jobs & Startup Jobs

Designs, researches, evaluates, and deploys advanced machine learning systems. The role spans problem framing, experimentation, deep learning model training and fine-tuning, productionization, observability, safeguards, and continuous improvement. The scientist will assess current research, develop scalable ML pipelines, and deliver impactful applied AI solutions while communicating complex methods clearly. Preferred work includes LLMs, retrieval-augmented generation, agentic systems, multimodal architectures, responsible AI, and open-source ML.

Designs and builds end-to-end Industrial IoT systems connecting factory-floor equipment to enterprise cloud platforms. Responsibilities include edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, operational dashboards, OT/IT integration, troubleshooting, documentation, code and design reviews, and mentoring junior engineers. The role requires industrial protocol expertise, cloud IoT platform experience, edge runtimes, streaming analytics, and familiarity with industrial cybersecurity standards.

Design, deploy, and operate secure, resilient Azure cloud platforms for production workloads. Responsibilities include infrastructure architecture, infrastructure-as-code, automation, security hardening, cost optimization, monitoring, observability, troubleshooting, and operational excellence. The engineer will manage AKS clusters, implement CI/CD, develop automation scripts, support compliance, and collaborate with application development, security, and SRE teams.

Designs, develops, and operates enterprise integrations connecting PeopleSoft with internal, cloud, and third-party systems. Responsibilities include configuring Integration Broker service operations, queues, routings, transformations, security, and error handling; building REST and SOAP services; troubleshooting production issues; supporting upgrades and patches; and collaborating with cross-functional stakeholders. The role also includes code and design reviews, documentation, and mentoring junior engineers.

Provide technical leadership across multiple teams, shaping architecture and executing complex engineering initiatives. Translate ambiguous requirements into reliable solutions, collaborate with cross-functional stakeholders, conduct code and design reviews, mentor engineers, and improve engineering standards. The role requires expertise in distributed systems, cloud platforms, or large-scale data systems, along with strong backend programming, system design, operational excellence, and production reliability experience.

Designs and operationalizes large language model fine-tuning workflows using supervised, preference-based, and reinforcement learning. Builds datasets, evaluation methodologies, and reliable distributed training pipelines on GPU clusters. The role requires production-grade Python and PyTorch engineering, experience with RLHF and DPO, failure recovery, cross-functional collaboration, code and design reviews, mentorship, and a record of impactful LLM work.

Designs, executes, and supports enterprise SAP data migration initiatives across the full lifecycle, including extraction, transformation, validation, reconciliation, and cutover. The role uses SAP S/4HANA migration tools, LTMC, SLT replication, LVM, SQL, and data analysis to migrate master and transactional data from legacy systems. It also supports major SAP implementations, system refreshes, landscape management, and high-volume, multi-source migrations.

Design, build, and optimize SAP HANA-native data models and analytical objects for S/4HANA, BW/4HANA, and standalone HANA platforms. Translate business requirements into performant models, troubleshoot HANA performance issues, implement replication solutions, manage security models, and support analytics environments. The role also involves performance tuning, migrations, upgrades, and exposure to HANA Cloud, SAP Datasphere, and SAP Analytics Cloud.

Design, develop, test, deploy, monitor, and support enterprise integrations connecting Oracle Cloud Applications, on-premises Oracle systems, and third-party platforms. Build OIC integrations, processes, and Visual Builder applications while applying integration patterns, API management, security standards, and Oracle data models. Support Oracle SOA Suite migrations, scripting, SQL development, cloud database integration, event-driven OCI integrations, and DevOps or CI/CD practices.

Designs, builds, and operates secure, highly available AWS cloud platforms and production workloads. Responsibilities include AWS architecture, infrastructure as code, automation, EKS/ECS cluster operations, CI/CD, cloud security, observability, monitoring, troubleshooting, cost optimization, and continuous operational improvement. The engineer partners with application, security, and SRE teams to deliver scalable cloud-native solutions and supports governance across multi-account environments.