Top Tech Jobs & Startup Jobs

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 work from requirements through deployment and support, while applying secure coding practices, automated testing, CI/CD, monitoring, and vulnerability remediation. Collaborate across engineering, product, and security teams while continuously developing expertise in cloud, AI, and agentic technologies.

Leads complex, global customer-facing infrastructure projects and programs for Cisco CXC. Responsibilities include executive stakeholder management, financial and margin accountability, risk mitigation, proposal development, cross-functional leadership, customer value presentation, and institutionalizing AI-assisted project management methodologies. The role uses AI tools, prompt engineering, and Cisco’s Digitized Delivery platform to improve forecasting, automation, reporting, and delivery outcomes.

Design, build, and scale the SD-WAN Manager platform layer: backend services, distributed systems, APIs, observability, security, performance optimization, CI/CD, automated testing, and cross-team collaboration to improve scalability, reliability, and operational excellence.

Build and operate secure, scalable microservices on AWS and Kubernetes. Develop production generative and agentic AI capabilities using LLMs, retrieval-augmented generation, embeddings, tool calling, and agentic workflows. Own reliability, observability, security, automated testing, delivery, and production troubleshooting. Mentor engineers, improve engineering standards, and collaborate with architecture, product, and security teams to deliver customer-facing AI products.

Leads technical customer success for Splunk security and core platform products. Provides architecture, implementation, configuration, optimization, onboarding, enablement, health remediation, security use-case activation, and strategic consulting. Advises customers and account teams on Splunk Enterprise Security, UBA/UEBA, SOAR, data onboarding, risk analytics, and platform adoption while resolving complex technical challenges and improving customer value realization.

Designs and verifies high-performance analog and mixed-signal ASIC circuits. Responsibilities include physical design, simulation planning, test-bench development, signal and power integrity, subsystem validation, debugging, optimization, documentation, and leading design reviews and verification activities.

Partner with EMEA sales to design deal strategy, pricing, and offer structures; guide forecasts; compose and coordinate order documents and approvals; run month-end war rooms; train sales on programs; and improve win rates through data-driven solutions and cross-functional coordination.

Leads Site Reliability Engineering for large-scale AWS cloud platforms, driving architecture, technical roadmaps, reliability, scalability, security, observability, automation, and operational excellence. Designs infrastructure, troubleshoots production issues, performs root-cause analysis, develops platform capabilities in Python or Go, mentors engineers, and collaborates with product, engineering, security, and customers to deliver highly available SaaS systems.

Design, build, and optimize highly available, scalable, and secure cloud infrastructure for multi-region SaaS systems. Implement SRE practices including monitoring, alerting, error budgets, incident management, automation, and root-cause analysis. Participate in on-call rotations, troubleshoot production incidents, improve system performance, and collaborate with engineering, product, customer, and security teams. Develop software and automation supporting cloud data platforms and operational excellence.

Architects large-scale observability solutions using OpenTelemetry, Kubernetes, APM, distributed systems, and telemetry pipelines. Responsibilities include designing high-throughput ingestion and analytics, applying AI/ML for anomaly detection, integrating CI/CD and incident-management ecosystems, controlling telemetry costs, securing multi-tenant data, and mapping technical metrics to business outcomes. Preferred experience includes operating observability platforms at scale, production SRE incidents, regulated environments, customer migrations, roadmap influence, and FinOps initiatives.