Top Tech Jobs & Startup Jobs

Design, deploy, and operate Istio and Linkerd service mesh platforms across Kubernetes environments. Manage secure service-to-service communication, mTLS, traffic policies, observability, distributed tracing, and mesh adoption. Troubleshoot networking, application, and control-plane issues while supporting application teams. Build automation using Go or Python and contribute to platform engineering practices, with potential work involving multi-cluster deployments, Cilium, eBPF, and SPIFFE/SPIRE.

Designs, builds, and operates integrations between PTC Windchill and ERP, MES, CAD, and other enterprise systems. Owns the integration layer, develops PLM-to-ERP data flows, translates business requirements into technical solutions, troubleshoots production issues, and contributes through design reviews, code reviews, documentation, and mentoring. Requires hands-on Windchill, Java API, middleware, SQL, REST, SOAP, and enterprise integration experience.

Develop and support SAP S/4HANA custom enhancements, integrations, and reports across the full software development lifecycle. Responsibilities include requirements analysis, technical design, ABAP and ABAP OO development, CDS views, AMDPs, OData services, Fiori integration, testing, performance tuning, troubleshooting, documentation, and post-go-live support. The role collaborates closely with functional consultants and business stakeholders while applying clean-core principles and supporting enterprise SAP landscapes.

Develop and maintain deep backend customizations for PTC Windchill using Java, PTC APIs, and customization frameworks. Responsibilities include extending platform behavior through services, listeners, and processors; working with Windchill data models, workflows, lifecycles, TAM, SQL, and client-side customizations; supporting upgrades; troubleshooting production issues; conducting design and code reviews; and mentoring junior engineers.

Build and maintain production-grade Python automation for network configuration, change management, and observability across multi-vendor enterprise networks. Use network APIs, infrastructure-as-code, Ansible, templating, Git, and CI/CD practices. Collaborate with cross-functional stakeholders, translate requirements into reliable solutions, participate in code and design reviews, and mentor junior engineers.

Develop and support customizations, integrations, workflows, reports, migrations, and performance improvements on the PTC Windchill PLM platform. Translate product-lifecycle and manufacturing requirements into maintainable Java-based solutions, provide post-go-live support, document technical designs, and mentor junior engineers. The role also involves stakeholder collaboration, troubleshooting, code and design reviews, and adherence to PTC upgrade-safe customization practices.

Develop and optimize CUDA-based GPU workloads for AI, scientific computing, and high-throughput data processing. Design custom kernels, profile production workloads, integrate kernels with ML frameworks, and improve performance across modern GPU architectures. Collaborate with cross-functional teams, participate in code and design reviews, mentor engineers, and deliver reliable production systems.

Design, build, and operate SAP BTP extensions, side-by-side applications, and integrations for SAP S/4HANA and other SAP applications. Develop clean-core solutions using CAP with Node.js or Java, Fiori/UI5, OData, BTP runtimes and services, identity platforms, and CI/CD tooling. Support application development, integration, analytics, and AI capabilities while applying SAP extension patterns and multi-tenant SaaS practices.

Designs, executes, and supports large-scale SAP S/4HANA data migrations across the full lifecycle, including extraction, transformation, validation, reconciliation, replication, system refresh, landscape management, and cutover. The consultant works with SAP LTMC, SLT, LVM, SQL, master and transactional data, and enterprise SAP landscapes during major implementations. Preferred experience includes greenfield or brownfield implementations, ETL platforms, high-volume migrations, SAP HANA, and S/4HANA certification.

Designs, evaluates, and deploys applied machine learning systems across language, vision, recommendation, and structured-data domains. Responsibilities include developing scalable training and inference pipelines, conducting rigorous experiments, optimizing models, managing data quality, implementing safety and fairness evaluations, and translating research into production solutions. The role also involves collaborating with product and platform teams, documenting findings, mentoring engineers, and influencing AI strategy.