Robotics Technologies is seeking a delivery leader to help engineering teams ship secure, scalable, automated cloud-native and AI-enabled platform capabilities. This onsite role in Middletown, PA blends Scrum Master-style Agile facilitation with hands-on technical delivery management across Kubernetes, internal developer platform initiatives, and Agentic AI workstreams. You will build clarity, remove blockers, and drive predictable progress with transparent delivery visibility in Jira.
Responsibilities
- Lead Agile delivery for assigned initiatives spanning Agentic AI, Kubernetes, container platform, Port.io, and IDP.
- Facilitate sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and other team-level Agile ceremonies.
- Partner with Product Owners and engineering leaders to ensure backlogs are prioritized, refined, actionable, and aligned to committed outcomes.
- Support PI Planning with team readiness, backlog alignment, dependency identification, risk identification, and delivery commitment tracking.
- Drive predictable delivery by monitoring commitments, throughput, flow, dependencies, risks, blockers, and overall delivery health.
- Coordinate execution across engineering, architecture, infrastructure, security, and other technology teams.
- Identify and remove team-level impediments; escalate issues or decisions requiring portfolio or leadership intervention.
- Maintain accurate delivery information in Jira, providing transparent visibility into progress, dependencies, risks, blockers, and outcomes.
- Coordinate Kubernetes and container platform capabilities, including platform automation, observability, security, reliability, and lifecycle management.
- Lead delivery coordination for Port.io and IDP capabilities supporting developer self-service, standardization, and automation to improve developer experience.
- Coordinate dependencies across Kubernetes, cloud infrastructure, CI/CD, DevSecOps, IAM, networking, monitoring, and application teams.
- Coordinate platform onboarding and adoption activities across development teams.
- Partner with technical leaders to ensure dependencies, environment needs, technical decisions, and readiness requirements are identified early and managed actively.
- Translate platform engineering work into measurable outcomes such as faster delivery, improved reliability, greater standardization, increased automation, and reduced operational friction.
- Lead Agile delivery for Agentic AI capabilities supporting Enterprise Architecture and architecture-related workflows.
- Coordinate execution across Enterprise Architecture, AI, Cloud & Infrastructure, cybersecurity, identity, engineering, and other participating teams.
- Track dependencies for AI capabilities, platform services, infrastructure, integrations, security, identity/access, and governance.
- Coordinate delivery activities from backlog readiness through evaluation, release readiness, and operational transition.
- Facilitate technical and business decision-making while maintaining clear accountability boundaries between Product, Architecture, Engineering, and Delivery roles.
- Identify and escalate unresolved architecture, technical, security, or cross-team dependencies impacting committed delivery outcomes.
- Maintain delivery plans, milestones, risks, actions, issues, and dependencies for assigned initiatives.
- Own RAID management within scope and escalate portfolio-level risks and dependencies through established Portfolio and Release Train governance.
- Maintain alignment among Product Owners, architects, engineering teams, platform teams, security, infrastructure, and other delivery stakeholders.
- Provide concise delivery reporting focused on outcomes delivered, delivery health, upcoming commitments, risks, blockers, dependencies, and decisions needed.
- Coordinate activities with vendors and technology partners when required.
- Drive accountability for delivery commitments and ensure follow-through on actions and decisions.
Requirements
- 5+ years of experience in Scrum Master, Agile delivery, technical project management, or comparable technology delivery roles.
- Proven experience leading complex technology initiatives across multiple engineering and technical teams.
- Experience working within cloud infrastructure, platform engineering, Kubernetes/container platforms, developer platforms, DevOps, AI, or Enterprise Architecture environments.
- Strong understanding of Agile and Scrum delivery practices.
- Experience supporting scaled or enterprise Agile planning and execution.
- Demonstrated ability to manage delivery commitments, risks, dependencies, impediments, milestones, and cross-team coordination.
- Experience using Jira for backlog, delivery, dependency, risk, and progress management.
- Ability to partner effectively with software engineers, infrastructure engineers, architects, Product Owners, cybersecurity teams, and technology leadership.
- Strong facilitation, communication, stakeholder management, problem-solving, and escalation-management skills.
- Technical fluency sufficient to understand architecture and engineering discussions and translate technical complexity into delivery impacts and next steps.
Preferred Qualifications
- Experience supporting Kubernetes and container platform delivery.
- Experience with Port.io or other Internal Developer Platform or developer portal technologies.
- Experience supporting Agentic AI, Generative AI, AI platform, or AI-enabled automation initiatives.
- Experience working with Enterprise Architecture teams.
- Familiarity with cloud-native architecture and cloud infrastructure.
- Familiarity with CI/CD, DevSecOps, SRE, observability, IAM, networking, APIs/microservices, and infrastructure automation.
- Experience coordinating third-party technology vendors or consulting partners.
- Scrum Master, SAFe, PMP, or comparable Agile/delivery certification preferred.
Technologies
Kubernetes, Port.io, IDP, Jira, CI/CD, DevSecOps, IAM, API/microservices, Enterprise Architecture, DevOps, SRE, observability
Equal Opportunity Employer
Robotics Technologies is an equal opportunity employer. Employment decisions are based on merit, competence, performance, and business needs.
