Top Tech Jobs & Startup Jobs

Lead development of OpenTelemetry ingest for GenAI workloads, validate integrations across AI SDKs and frameworks, align auto-instrumentation with OneAgent, drive OpenTelemetry GenAI semantic conventions, prototype and ship production features, set technical strategy, and mentor engineers.

As Sr. Director of Cloud Native Specialists, you'll lead a team focused on Kubernetes and Cloud Native strategies, overseeing POCs and optimizing observability in enterprise environments.

Lead technical direction and deliver large-scale, cloud-native account and subscription management systems. Drive cross-team architecture and complex problem solving, embed AI across the delivery lifecycle, build tooling and guardrails for agent-assisted development, mentor senior engineers, improve delivery and quality, and align engineering and business stakeholders to reduce technical debt and raise engineering standards.

Provide pre-sales technical expertise for Dynatrace observability solutions: run demos, manage on-site and remote POCs, support sales and partners, respond to RFIs/RFPs, advise on cloud and architecture, present to executives, and gather product feedback.

Lead design and implementation of enterprise data governance: define standards, operating model and AI-ready data criteria; partner with data product managers, engineering, security, legal and privacy to operationalize metadata, lineage, access controls, quality monitoring, and self-service for analytics and AI.

Provide technical pre-sales support for Dynatrace: deliver demos, run and manage onsite/remote POCs, respond to RFIs/RFPs, engage C-suite, partner with sales and channel teams, gather customer feedback for product management, and travel to customer sites (up to 30%).

Design, build, and maintain high-performance Go backend services for a multi-tenant AI agent platform. Own authentication, token/session lifecycle, scoped credential granting, and data isolation. Harden the platform against web and AI-specific threats, contribute to backend features, database and infrastructure work, and drive architectural decisions, testing, and debugging.

Build and maintain core Python agent layers and LLM routing, implement tool-calling infrastructure and guardrails, design validation and prompt-injection defenses, define datasets and metrics for automated agent evaluation, drive architectural decisions, and own testing, debugging, and production reliability for LLM-powered agent systems.

Drive technical alliances with hyperscalers by developing reference architectures, technical content, and joint solutions. Influence product roadmap, enable sales through training and demos, support co-marketing, and represent Dynatrace in partner communities.

Lead business process analysis and documentation for GTM systems, partner with Sales and Marketing to define user stories and acceptance criteria, manage backlog with Product Owners, liaise with delivery and integration teams, and drive BSA standards and stakeholder communication to deliver scalable CRM and marketing automation solutions.