Top Tech Jobs & Startup Jobs

Configure and develop Workday reports, calculated fields, business processes, security models, integrations, PRISM Analytics, and Workday Extend applications. Partner with HR, payroll, finance, IT, and engineering stakeholders to translate requirements into maintainable solutions. Support tenant refreshes, testing, releases, troubleshooting, documentation, and production remediation while advising on Workday best practices and mentoring junior engineers.

Designs and governs enterprise Salesforce implementations across multiple clouds and organizations. Leads technical strategy, architecture standards, security models, integrations, customization, and DevOps practices. Partners with stakeholders and engineering teams to deliver scalable Salesforce solutions, while leading large programs end to end. Requires deep Apex, Lightning Web Components, Flow, data model, sharing model, platform limits, integration, and enterprise security expertise, plus Salesforce architecture certification.

Designs, deploys, and operates cloud networking infrastructure across major cloud providers. Responsibilities include VPC/VNet architecture, hybrid connectivity, transit hubs, edge networking, DNS, private service connectivity, network security, Kubernetes networking, observability, automation with Terraform, troubleshooting, cost optimization, and zero-trust implementation. The role partners with cross-functional teams, contributes to design and code reviews, mentors engineers, and supports reliable production-scale cloud and hybrid networks.

Designs, deploys, and operates enterprise block, file, and object storage across data center, edge, and cloud environments. Manages NetApp, Pure Storage, and Ceph platforms supporting compute, virtualization, database, and Kubernetes workloads. Responsibilities include storage performance optimization, capacity planning, data protection, cost optimization, troubleshooting across storage, network, and host layers, and automation using Ansible, Terraform, and REST APIs.

Build and maintain enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. Develop backend C#/.NET solutions, frontend applications, content models, integrations, and headless implementations with JSS or Next.js. Support CI/CD deployments, platform upgrades, legacy migrations, troubleshooting, and performance tuning while collaborating with editors, marketers, and stakeholders.

Designs, develops, and maintains Workday integrations with enterprise applications using EIB, Workday Studio, Core Connectors, Cloud Connect, and Workday APIs. Ensures integration reliability, security, and data quality while working with Workday’s data model, tenant configuration, security patterns, calculated fields, and custom reports. Preferred experience includes Workday payroll integrations, Workday Extend, multi-region deployments, and SaaS platforms such as ServiceNow and Salesforce.

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, CI/CD, and source-of-truth platforms. Collaborate with cross-functional teams, translate ambiguous requirements into reliable solutions, conduct code and design reviews, and mentor junior engineers. Apply strong networking expertise across routing, switching, and BGP while delivering scalable automation.

Leads the architecture, development, deployment, and maintenance of enterprise-grade full-stack applications and distributed systems. Builds Java and Spring Boot backends, React frontends, REST APIs, microservices, cloud-native services, and relational database solutions. Collaborates with product, architecture, DevOps, and engineering teams in an Agile environment while ensuring application security, performance, observability, and operational reliability.

Designs, builds, and operates scalable AI inference and model-serving platforms for production workloads. Responsibilities include LLM serving, GPU and inference optimization, Kubernetes-based cloud infrastructure, autoscaling, request routing, deployment lifecycle management, observability, security, high availability, FinOps, and MLOps. The role collaborates with AI and engineering teams, evaluates emerging AI infrastructure technologies, leads architecture reviews, and mentors engineers.

Develop and operate SAP Business Technology Platform extensions, side-by-side applications, and integration scenarios for SAP S/4HANA and other applications. Build clean-core extensions using CAP, Node.js or Java, SAP Fiori/UI5, OData, BTP runtimes, and CI/CD tooling. Apply expertise in identity services, integration, multi-tenant SaaS design, SAP AI capabilities, and clean-core principles while collaborating on documentation and delivery.