Top Tech Jobs & Startup Jobs

Lead the architecture and technical direction of enterprise AI and cloud-native platforms. Design multi-tenant distributed systems, RAG and agentic AI applications, high-throughput messaging and data pipelines, secure integrations, and resilient multi-region infrastructure. Establish engineering standards for APIs, Kubernetes, CI/CD, observability, and SLOs. Mentor technical leaders, facilitate architecture reviews, align technology strategies across teams, and translate long-term business goals into execution roadmaps.

Generate and qualify opportunities through targeted outbound calling, account-based prospecting, and tailored messaging. Own multiple sales opportunities from initial engagement through completion, maintain accurate CRM pipeline data, and support forecasting. Collaborate with field sales, cross-functional teams, channel partners, and ecosystem partners to develop joint opportunities, advance deals, and achieve revenue targets.

Lead the architecture and development of highly available backend systems, production APIs, data pipelines, event-driven services, and MLOps infrastructure. Build and deploy AI, LLM, and generative AI solutions using distributed systems, Kafka, cloud-native platforms, and relational or NoSQL data models. Mentor engineers, establish technical standards, monitor production systems, improve operational reliability, and collaborate with product and cross-functional stakeholders on technical roadmaps.

Build Python applications, RESTful APIs, and microservices integrating AI and LLM capabilities. Develop CI/CD pipelines and deploy containerized systems with Docker and Kubernetes across AWS, Azure, or GCP. Ensure reliability through Pytest, code reviews, post-mortems, and on-call rotations. Collaborate with design, product, and cross-functional teams to deliver scalable AI-driven solutions.

Lead end-to-end delivery of complex software, platform, and technical programs from planning through release and operationalization. Coordinate Agile teams and stakeholders across engineering, architecture, security, operations, vendors, and customer-facing groups. Manage scope, schedules, resources, dependencies, risks, budgets, and delivery metrics while providing executive recommendations. Drive launch readiness, adoption, supportability, and measurable business outcomes across multiple enterprise releases.

Designs and operates scalable CI/CD pipelines, Terraform infrastructure, Kubernetes platforms, and GitOps workflows. Builds deployment automation, testing, security controls, observability, and internal developer tools using Go, Python, and shell scripting. The role improves reliability, delivery speed, cloud efficiency, and developer experience while supporting incident response, production operations, documentation, and technical standards.

Leads a sizable software engineering team building trusted AI capabilities for an Agentic SOC platform. Responsibilities include setting strategy, roadmaps, staffing, architecture, delivery, quality, reliability, security, and adoption goals across cloud, on-premises, sovereign cloud, and air-gapped environments. Partners with Cisco, Splunk, product, security, and deployment teams; hires and develops engineers; resolves cross-functional dependencies; and guides responsible AI-assisted development and high-performing engineering practices.

Lead Cisco’s Global Certifications organization of 14 direct reports and oversee the strategy and execution of Common Criteria and EUCC certifications. Manage portfolio prioritization, technical program delivery, staffing forecasts, budgets, external laboratories, vendors, and regulatory relationships. Drive process improvements, resolve systemic blockers, support performance and career development, and communicate technical risks and regulatory impacts to executive stakeholders.

Lead technical design and implementation of a cloud-based Data Center Infrastructure Management product. Build scalable microservices and distributed systems using Java/Go/C++/Python on AWS/GCP/Azure. Collaborate with cross-functional teams to deliver production-ready, maintainable solutions for AI and edge datacenter infrastructure. Hybrid role based in Milpitas, CA.

Design and develop scalable software for high-speed networking and AI infrastructure, integrating optics, PHY devices, ASICs/NPUs, and embedded Linux. Implement CMIS/SFF management frameworks, build datapath and control-plane integration, telemetry, diagnostics, automation, and validation infrastructure (Python). Lead medium-scope features end-to-end, write clean code and unit tests, produce technical/user documentation, coordinate cross-functionally, and mentor engineers to improve development processes.