• Design, scope, and implement cutting-edge solutions using a mix of technologies. • Enhance the platform to boost performance, usability, and scalability. • Collaborate closely with Design and Product stakeholders to ensure we are building the right solutions to the right problems. • Identify high-impact opportunities with your team and turn them into reality. • Be an awesome teammate who’s all in on collaboration and collective success.

• developing performant and scalable software • working with a team of highly skilled developers to manage the upgrade and deployment of a product line of edge apps • implementing strategic features, customer-requested enhancements, and fixing defects for Akamai's Cloudlets product line • contributing to architecture, design documents, code reviews, test strategies, and release/deployment plans • designing and developing highly scalable and performant software from conception through deployment, and improving the efficiency of current platforms • fostering a culture of iterative improvement to our processes, strategies, and more, including adoption of cutting-edge tooling to increase team output

• Shape and execute technology strategy across software delivery teams • Build reusable components and define engineering standards • Participate actively in code reviews and elevate engineering quality • Conceptualize and deliver solutions for complex business needs • Drive engineering best practices including test automation, CI/CD, telemetry, DevOps, and iterative delivery • Enable platform reuse and consistent developer experience across teams

• Design, build, and maintain automated billing workflows in Salesforce, including Apex, Flow, Lightning Web Components, and platform integrations. • Architect and operate a continuously learning Salesforce-initiated AI-driven pipeline, that takes diagnostic test information as input and routes the order through our revenue lifecycle, relying on human intervention, partner APIs, and external systems, as needed. • Translate billing requirements from Finance, Revenue Operations, and Customer Success into well‐scoped engineering deliverables with clear SLAs, observability, and rollback paths. • Fine-tune document extraction AI models with support from Arteras AI team • Use AI Code-gen and other AI‐assisted development tools to accelerate delivery, generating, reviewing, and refactoring Salesforce and Python code. • Instrument the billing pipeline with monitoring, alerting, and audit trails so that failures, anomalies, and drift are caught early and resolved without manual triage where possible. • Continuously evaluate pipeline performance and incorporate feedback loops (rules, heuristics, and lightweight ML where appropriate) so the system gets more accurate and more autonomous over time.