Top Tech Jobs & Startup Jobs

Design, develop, and maintain scalable test automation frameworks for web, API, mobile, and microservices applications. Automate UI, API, and end-to-end tests; build CI/CD test pipelines; perform performance testing; troubleshoot defects, create regression tests, and mentor junior QA engineers.

Design, build, and operate large-scale, high-throughput backend services and core platforms. Focus on scalability, reliability, performance, distributed systems architecture, and clean engineering practices while collaborating across teams.

Design, automate, and operate large-scale distributed production systems to maximize availability and performance. Build automation and tooling, operate Kubernetes/container workloads, implement observability and CI/CD, lead incident response and post-incident reviews, and drive reliability improvements and performance tuning.

Design, build, and maintain infrastructure-as-code with production-grade Terraform. Create reusable modules, manage state and workspaces, harden CI/CD pipelines, enforce policy-as-code, and standardize infrastructure delivery across multi-cloud environments while troubleshooting operational issues.

Build and maintain ServiceNow solutions across ITSM, ITOM, HRSD, CSM, and custom apps. Perform hands-on configuration and development including workflows, Flow Designer, scripting, integrations, UI customization, platform extensions, and Service Portal widgets while ensuring upgrade-safe, maintainable, and performant implementations.

Design, build, and deliver production-grade Salesforce solutions using Apex, Lightning Web Components, Flow, and integrations. Implement custom business logic, UIs, and automation while respecting platform limits, ensuring maintainability, and troubleshooting complex issues.

Design, build, and operate large-scale AI training and inference platform layers including GPU clusters, distributed training frameworks, schedulers, storage, networking, and developer tooling with emphasis on reliability, efficiency, and cost control. Collaborate with ML engineers to productionize workloads and apply strong software engineering practices.

Lead design, governance, and long-term evolution of an enterprise ServiceNow platform across ITSM/ITOM/HRSD/CSM/SecOps and custom apps. Define data, integration, security, and customization standards; architect CMDB/discovery/service mapping; manage integrations, upgrades, and roadmaps; and influence engineering, business, and executive stakeholders.

Design, optimize, and deploy machine learning models for resource-constrained edge devices. Focus on model compression, quantization, hardware-aware optimization, profiling, and production deployment to mobile, embedded, and accelerator platforms while ensuring on-device privacy, security, and cross-functional collaboration.

Design, build, and operate petabyte-scale data systems and pipelines to supply high-throughput, versioned, and lineage-tracked datasets to ML training and evaluation jobs. Ensure data quality, reproducibility, and efficient delivery for accelerator-based training while collaborating across teams and following strong software engineering practices.