Top Tech Jobs & Startup Jobs

Design and implement high-performance backend services and cloud-native applications in Go. Build Kubernetes-native tooling, controllers, and operators; integrate with messaging systems and data stores; implement gRPC/REST APIs with observability and security; profile and optimize Go applications; write comprehensive tests and documentation; lead code reviews and mentor junior engineers.

Design, build, and maintain Workday integrations (EIB, Studio, Core Connectors, Cloud Connect, PECI) including XSLT mappings, REST/SOAP services, security setup, tenant/configuration management, testing, runbooks, and production support while collaborating with HR, payroll, IT, and finance stakeholders.

Lead enterprise architecture and long-term technology strategy. Design and implement highly scalable, fault-tolerant distributed systems, define API and data governance, drive DevOps/CI-CD and observability standards, lead reliability engineering and incident response, mentor senior engineers, and guide cross-team modernization and performance optimization efforts.

Design, build, and operate end-to-end observability platforms (metrics, logs, traces, alerts). Architect Prometheus/Grafana/Datadog deployments, define SLOs/SLIs, reduce alert noise, integrate observability into CI/CD and incident workflows, manage storage and cost, mentor teams, and maintain runbooks and onboarding documentation.

Design, build, deploy, and operate enterprise integrations on the Dell Boomi platform. Own full integration lifecycle, implement API and event-driven patterns, ensure security (OAuth2, mTLS), develop CI/CD, migrate legacy integrations, optimize performance, maintain documentation, and mentor junior engineers.

Design, build, and operate integrations connecting PTC Windchill with ERP, MES, CAD, and other systems. Implement REST/SOAP services, middleware-based and event-driven patterns, optimize high-volume data flows, lead migrations from point-to-point to middleware, provide post-go-live support, documentation, and mentor junior engineers.

Design, build, and operate secure, highly available AWS environments using infrastructure-as-code and automation. Implement multi-account architectures, networking, IAM, container platforms (EKS/ECS), managed data services, CI/CD pipelines, observability, security tooling, cost optimization, and disaster recovery. Develop automation scripts, runbooks, mentor engineers, and lead architecture reviews to support mission-critical production workloads.

Design, optimize, and deploy ML models for resource-constrained edge devices. Apply compression, quantization, and hardware-aware optimizations, build inference runtimes, enable safe on-device updates, design hybrid edge-cloud architectures, implement secure execution and telemetry, and collaborate with cross-functional teams to ship production edge AI solutions.

Design, implement, and optimize high-performance CUDA kernels and libraries for AI and HPC workloads; profile and tune multi-GPU training and inference; integrate custom operators into ML frameworks; develop benchmarks and regression tests; advise on GPU architecture adoption; document tuning playbooks and mentor engineers.

Design, build, and maintain production-grade network automation using Python and modern network APIs. Implement IaC, CI/CD, source-of-truth integrations, telemetry/observability, testing/validation, and automated compliance across multi-vendor networks. Mentor engineers, produce reusable libraries, and collaborate with cross-functional teams to operationalize intent-based and self-healing network workflows.