Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads and grows an engineering team building and operating a scalable Kubernetes-based cloud-native platform. Partners with product and leadership on roadmap execution, drives technical excellence, reliability, security, and operational efficiency, and manages delivery timelines and resources in an Agile environment. The role also mentors engineers, supports career development, fosters inclusion, and oversees hiring and retention while ensuring high availability and strong software development practices.

Design and operate high-volume batch and streaming pipelines for cloud usage metering and billing. Build rating logic, data lakehouse systems, Airflow workflows, and production Python and Spark or Flink jobs. Develop reconciliation and data-quality checks with auditable billing trails, while contributing tested code, code reviews, and engineering standards. The role requires deep SQL, cloud, and large-scale data engineering experience.

Leads security compliance assessments and audit readiness across cloud infrastructure and delivery services. Translates regulatory standards into technical guidance, evaluates architectures and controls, conducts risk assessments, directs remediation, and develops compliance playbooks and automated monitoring workflows. The role also mentors team members, coordinates audit evidence collection, and represents the organization during external certification assessments and audits.

Assesses and mitigates security risks across applications, systems, networks, and cloud infrastructure. Conducts security assessments, identifies vulnerabilities and compromises, deploys mitigating controls, performs compliance investigations, and develops security guidance, policies, scripts, and tools. The role requires collaboration with IT, engineering, and business units, with emphasis on NIST frameworks, adversarial techniques, malware, intrusion management, FedRAMP, and CMMC environments.

Leads design and implementation of globally distributed AI inference platform components. Builds and optimizes containerized AI workloads, integrates inference frameworks, improves scalability and reliability, and supports GPU-accelerated model serving. Provides technical leadership through mentoring, code reviews, design discussions, and technical decision-making. Collaborates across teams on platform standards, operational excellence, observability, and high-performance cloud-native systems.

Owns the security posture and architecture of Akamai’s globally distributed AI inference platform. Leads threat modeling, security standards, design reviews, cloud-native and application security, multi-tenant isolation, compliance readiness, incident response, and defenses against AI-specific threats such as prompt injection, model extraction, data poisoning, and adversarial attacks.

Serve as a technical partner-facing presales engineer: build trusted partner relationships, enable partners to resell and support Akamai products, support channel sales to grow revenue, create customized sales resources and use cases, present technical solutions, and represent partner needs across product, marketing, services, and support.

Leads geographically distributed Business Analyst and Software Engineering teams delivering global enterprise Time and Pay solutions. Owns strategy, architecture, development, integrations, modernization, automation, quality, and operational performance across Oracle and ADP platforms. Partners with HR, Finance, vendors, and technology leaders to define roadmaps, address multinational payroll and workforce requirements, and deliver scalable solutions. Requires extensive enterprise application leadership, cloud, AI, systems integration, and transformation experience.

Design and scale automated test frameworks for Akamai’s custom Linux kernel, hardware compatibility, performance, reliability, security, and OS imaging. Develop hardware validation suites, support kernel and virtualization upgrades, troubleshoot low-level system issues, and improve continuous integration and testing infrastructure across AI and compute platforms.

Develop and maintain Akamai’s custom Linux kernel and distribution for a globally distributed cloud platform. Responsibilities include adding performance, reliability, and security features; porting modifications to newer kernels; debugging production and test issues; improving build and continuous-testing automation; collaborating with platform, application, test, and hardware teams; and contributing work upstream to the open-source Linux community.