Top Tech Jobs & Startup Jobs in Seattle, WA

Designs, develops, tests, deploys, monitors, and supports enterprise integrations using SAP CPI and SAP Integration Suite. Connects SAP S/4HANA and other SAP applications with third-party and cloud systems. Responsibilities include iFlow development, scripting, API management, event-driven architecture, security implementation, PI/PO migration, troubleshooting, documentation, and stakeholder collaboration.

Designs and operates enterprise observability platforms for metrics, logs, traces, events, synthetic monitoring, dashboards, and alerting. Establishes instrumentation standards, SLOs, SLIs, error budgets, and actionable on-call workflows. Manages high-scale telemetry storage, tracing pipelines, platform costs, and reliability tooling while partnering with SRE and platform teams. Builds self-service tools, integrates observability into CI/CD and progressive delivery, evaluates vendors, improves incident readiness, mentors engineers, and maintains documentation and runbooks.

Designs and operates large-scale AI infrastructure for GPU-based training and inference. Responsibilities include distributed training platforms, scheduling, storage and networking performance, observability, fault tolerance, security, automation, cost optimization, and developer tooling. Partners with ML research teams on capacity planning and maintains operational documentation. Requires expertise in GPU clusters, distributed systems, Linux, networking, cloud ML services, and software engineering, with proficiency in Python and Go or C++.

Design, optimize, and deploy machine learning models for resource-constrained edge devices, including mobile and embedded platforms. Apply quantization, pruning, distillation, and hardware-aware optimization to improve latency, energy efficiency, and memory usage. Build inference runtimes, edge-cloud architectures, telemetry, secure execution paths, update workflows, and benchmarking systems. Collaborate with hardware, firmware, and product teams while addressing privacy, security, responsible AI, documentation, and emerging edge AI technologies.

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.

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.

Optimize large-scale AI training and inference systems for throughput, latency, and cost. Responsibilities include GPU and kernel optimization, distributed training, model compression, LLM serving, compiler optimization, data pipeline tuning, benchmarking, hardware evaluation, and performance regression analysis. The engineer will collaborate across ML and platform teams, document optimization practices, evaluate emerging technologies, and mentor junior engineers.

Architect, deploy, and operate secure, resilient OCI cloud environments, including landing zones, networking, infrastructure-as-code, IAM, compute, storage, databases, Kubernetes, CI/CD, observability, disaster recovery, and cost optimization. Develop Python, Bash, and Terraform automation, strengthen cloud security, advise application teams, troubleshoot incidents, and mentor junior engineers.

Design, develop, deploy, and operate SAP BTP side-by-side extensions and applications using CAP, Node.js or Java, Fiori/UI5, OData, Cloud Foundry, and Kyma. Implement secure integrations, event-driven solutions, CI/CD pipelines, AI use cases, and multi-tenant SaaS capabilities. Apply SAP clean-core principles, collaborate with architecture and functional teams, provide post-go-live support, and maintain comprehensive technical documentation.