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.

Own strategic product outcomes for Cisco Cloud Control Studio, a platform for enterprise AI agents and applications. Responsibilities include defining lifecycle defaults, managing multi-tenant isolation, identity, authorization, persistent state, and observability, sequencing platform milestones, prototyping solutions, and aligning engineering, security, architecture, and go-to-market stakeholders. The role requires product strategy and roadmap leadership for enterprise cloud platforms, developer ecosystems, or multi-tenant SaaS environments.

Designs and builds distributed AI-native cybersecurity systems that process security telemetry, correlate detection signals, predict threats, and generate explainable alerts. Develops AI features, agentic development workflows, AIDevOps pipelines, data platforms, and retrieval-augmented generation capabilities. Partners with security researchers, subject matter experts, product teams, and engineers to deliver scalable analyst workflows and trusted security automation. Requires strong distributed systems, storage, data platform, Python or Go, DevOps, and cybersecurity engineering experience.

Owns and executes Cisco product and service renewal contracts across assigned accounts. The role drives renewal, upsell, negotiation, forecasting, quote progression, and timely contract closure while minimizing financial attrition. Responsibilities include developing customer renewal strategies, building executive and partner relationships, coordinating cross-functional teams, analyzing market and customer data, and identifying growth opportunities. Requires strong communication, presentation, financial, analytical, process leadership, and relationship-building skills, plus substantial sales and hardware or software renewals experience.

Build and maintain cloud automation tools, libraries, and workflow components primarily in Python. Convert operational runbooks into reliable automated workflows, write and test code, debug issues, document solutions, and collaborate with platform and workflow teams. The role emphasizes cloud operations, platform engineering, security, reliability, and reducing manual operational toil.

Architects, builds, and operates enterprise AI platform services across model serving, inference optimization, evaluation, agentic infrastructure, APIs, and air-gapped deployments. Leads model development, fine-tuning, productionization, MLOps, security governance, and responsible AI practices. Establishes rigorous evaluation and release criteria, mentors senior engineers, drives technical roadmaps, and bridges AI research with reliable production engineering across cloud, on-premises, and resource-constrained environments.

Develops and maintains platform and fleet orchestration software, automation workflows, APIs, distributed services, and cloud infrastructure capabilities. Responsibilities include coding, testing, debugging, observability, secure development, production support, incident response, documentation, and reliability improvements. Collaborates across engineering, operations, product, and platform teams to automate cloud operations, manage infrastructure lifecycles, support fleet-wide changes, and improve developer and operational experience.

Develop and execute quality engineering strategies for Cisco Crosswork Network Controller, a scalable microservices-based SDN platform. Build Python automation for GUI, API, platform, network-device, and service workflows. Test provisioning, telemetry, upgrades, resiliency, scale, high availability, and failure recovery. Troubleshoot distributed environments, analyze defects, communicate release risk, and collaborate with engineering, product, customer-facing, and operations teams.

Develop and maintain CI/CD automation and centrally managed DevOps infrastructure. Responsibilities include improving platform reliability, troubleshooting production issues, participating in on-call rotations, automating infrastructure provisioning, securing and monitoring DevOps tools, managing Kubernetes clusters, supporting deployment automation, and collaborating with software development and infrastructure teams. The role focuses on Jenkins or GitHub Actions, configuration management, scripting, containers, cloud platforms, and operational excellence.

Build and maintain secure cloud-native microservices and REST APIs on AWS and Kubernetes. Develop production AI capabilities including LLM features, agents, retrieval-augmented generation, embeddings, and tool calling. Own features through requirements, testing, deployment, monitoring, and support. Apply secure coding practices, write automated tests, contribute to CI/CD, and collaborate across engineering, product, and security teams while developing expertise in cloud, AI, and agentic technologies.