Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Design and scale ARM64 compute platform infrastructure, hypervisor integrations, instance management, resource orchestration tools, and compute APIs. Develop and maintain low-level services using Python, Go, or compiled systems languages. Collaborate with hardware and global engineering teams, participate in design reviews, debug distributed Linux systems, and mentor junior engineers.

Develop and own compute and GPU server platforms from architecture through global deployment. Responsibilities include schematic and layout reviews, design for manufacturability, new product introduction, board and system bring-up, validation, debugging, firmware and BIOS feature management, technology qualification, and vendor coordination. The role requires hands-on server architecture, board-level design, Linux and scripting expertise, platform validation, and five-day-per-week presence in the Cambridge office.

Leads an engineering team developing, maintaining, testing, and optimizing custom Linux kernel infrastructure at planetary scale. Responsibilities include feature development, performance tuning, vulnerability management, hardware support, low-level debugging, reliability and security strategy, mentoring, quality standards, and collaboration with technical teams and open-source communities. The role also requires hands-on technical contributions when needed.

Design, deploy, enhance, and support secure custom government network platforms and cloud services. Manage CI/CD pipelines, build systems, testing frameworks, distributed databases, and storage ecosystems. Lead technical initiatives, code reviews, security patching, Agile SDLC releases, and system performance improvements. Collaborate with Operations, Engineering, and SRE teams to troubleshoot complex issues and deliver resilient application delivery networks.

Tests, validates, and troubleshoots next-generation cloud server hardware for performance, power, reliability, and quality. Develops test scripts, documents results, identifies defects, recommends improvements, and resolves hardware issues across engineering and manufacturing environments. Requires hands-on embedded systems debugging, Linux and scripting experience, and knowledge of server architecture, firmware, operating systems, networking, storage, and hardware acceleration technologies.

Architect, build, and support reliable network infrastructure and automation for Akamai’s distributed cloud platform. Develop Bash and Python tooling, establish deployment standards, define SLOs, mentor engineers, and troubleshoot complex network issues. The role requires expertise in large-scale distributed systems, TCP/IP, BGP, Linux networking, configuration management, CI/CD, and open-source networking software, with participation in on-call rotations.

Lead strategic alliances and channel partnerships with federal system integrators, GovTech startups, and defense technology providers. Develop partnership models, tiered programs, joint value propositions, and go-to-market strategies for Akamai’s public sector edge security solutions. The role requires extensive federal business development experience, knowledge of procurement processes and contract vehicles, and familiarity with cybersecurity and federal compliance requirements.

Lead technical enablement for Akamai’s cybersecurity sales engineering teams across Zero Trust, microsegmentation, and SASE/SSE products. Provide roadmap updates, expert guidance for customer inquiries and RFPs, solution design support for proofs of concept, product demos, sales training, and technical content. Translate complex capabilities into business value, analyze field feedback, and collaborate with Product Management, Product Marketing, Technical Marketing Engineering, and Sales Engineering teams.

Lead the architecture and evolution of managed Kubernetes and cloud-native services. Provide cross-team technical oversight, standardize platform practices, integrate open-source technologies, improve scale, performance, security, and operational efficiency, and mentor engineering teams. The role requires expertise in Kubernetes-based platforms, container runtimes, cloud-native architectures, and Go, Python, or Bash.

Conduct technical evaluations of cloud and AI platforms by provisioning infrastructure, deploying workloads, benchmarking performance, and assessing architectures. Develop reproducible AI inference benchmarks, analyze competitor products and developer experiences, and translate verified findings into battle cards, technical content, product recommendations, and roadmap insights. Collaborate with product management, architects, engineers, sales engineers, and presales teams while fact-checking competitive claims and presenting data-driven results.