Top Tech Jobs & Startup Jobs

Designs, builds, and optimizes SAP HANA-native data models and analytical objects for S/4HANA, BW/4HANA, and standalone HANA platforms. Translates business and analytics requirements into performant calculation views, CDS views, AMDPs, and SQLScript solutions. Diagnoses and resolves HANA performance issues, applies tuning methodologies, manages replication technologies, and supports HANA security models. The role also involves troubleshooting, documentation, and collaboration across SAP landscapes.

Designs, deploys, and operates enterprise-scale AWS environments, including multi-account governance, networking, IAM, Kubernetes platforms, data services, Infrastructure as Code, CI/CD, observability, security, disaster recovery, and FinOps. The role develops automation, strengthens operational reliability, leads architecture reviews, mentors engineers, and establishes cloud engineering standards. It requires 10+ years of IT and cloud engineering experience, including extensive enterprise AWS experience and technical leadership.

Architects, develops, deploys, and supports enterprise-grade Java applications and distributed systems. Designs RESTful microservices, cloud-native services, data architectures, and responsive React applications. Collaborates with product, architecture, DevOps, and engineering teams in an Agile environment. Responsibilities include system design, production coding, observability, debugging, CI/CD, cloud deployment, database optimization, and operational support. Preferred experience includes event-driven architectures, Kafka or RabbitMQ, Docker, Kubernetes, distributed systems, and automated testing.

Design and build high-performance Go backend services, APIs, cloud-native applications, CLI tools, Kubernetes controllers, and operators. Optimize concurrency, memory, garbage collection, latency, and throughput. Integrate messaging systems and data stores while implementing testing, observability, security, and documentation. Lead code and design reviews, mentor engineers, contribute to shared Go libraries and platform tooling, and translate ambiguous requirements into reliable production solutions.

Build and operate petabyte-scale data infrastructure for AI training and evaluation. Responsibilities include multimodal ingestion, transformation, deduplication, quality assurance, dataset versioning, lineage, high-throughput data loading, labeling workflows, privacy enforcement, observability, storage optimization, and collaboration with ML teams. The role requires strong data engineering, distributed systems, software engineering, and AI workload experience.

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

Designs, optimizes, and deploys machine learning models for mobile, embedded, and other resource-constrained edge devices. Responsibilities include quantization, pruning, distillation, hardware-aware optimization, inference runtime development, performance profiling, secure model deployment, telemetry, edge-cloud architecture, and responsible AI evaluation. The engineer collaborates with hardware, firmware, and product teams while maintaining technical documentation and evaluating emerging edge AI technologies.

Design, develop, and support enterprise PTC Windchill PLM solutions, including customizations, workflows, lifecycle templates, integrations, migrations, upgrades, performance tuning, reporting, and production support. Lead technical architecture and design reviews, establish development standards, collaborate with engineering and business stakeholders, mentor developers, and deliver scalable solutions integrated with ERP, MES, CRM, and other enterprise systems.

Designs, develops, and maintains Workday integrations using EIB, Studio, Core Connectors, Cloud Connect, PECI, and REST/SOAP APIs. Builds XSLT transformations, calculated fields, reports, security configurations, business processes, and reliable error-handling strategies. Collaborates with HR, payroll, IT, finance, and engineering stakeholders; supports production incidents, tenant refreshes, regression testing, release planning, documentation, and integration operations. Provides code and design reviews and mentors junior engineers.

Design and build software, firmware, drivers, validation tooling, compute infrastructure, and data pipelines for semiconductor design, verification, and post-silicon workflows. Develop debugging and diagnostic systems, optimize performance and scalability, partner with hardware engineers, lead architecture and code reviews, document systems, mentor engineers, and evaluate emerging hardware platforms and toolchains.