• Serve as the principal owner and architect for Jira Software and Jira Product Discovery. • Define and evolve Jira platform strategy, architecture, and standards aligned with company growth. • Design and maintain complex Jira configurations including workflows, issue hierarchies, custom fields, automations, permissions, and schemas. • Evaluate and manage Atlassian Marketplace apps and integrations to extend Jira capabilities. • Lead the end-to-end migration from Shortcut and Productboard to Jira Software and Jira Product Discovery. • Drive discovery and decision-making on future-state workflows, data models, and governance. • Partner with senior Product and Engineering leaders to align Jira design with operating models. • Own migration planning, execution, risk management, and post-migration optimization. • Architect Jira Product Discovery to support scalable idea intake, discovery workflows, prioritization frameworks, and roadmapping. • Ensure strong alignment and traceability between discovery, delivery, and outcomes. • Act as a trusted advisor to senior stakeholders on Jira capabilities, tradeoffs, and best practices. • Establish and enforce governance models for Jira configuration changes, access, and data quality.

• ELT Job Support: Manage and support all Extract, Load, and Transform (ELT) jobs to ensure data integrity and accuracy. • SmileCDR Tool Management: Oversee the implementation and maintenance of the SmileCDR tool, ensuring it meets project requirements. • FHIR HL7 Standards: Ensure a thorough understanding of FHIR HL7 standards and mapping to support interoperability. • Customer Engagement: Engage with customers to understand their needs, gather requirements, and provide solutions. • Data Mapping and Transformation: Accurately map and transform data to meet FHIR HL7 standards. • Testing and Validation: Conduct thorough testing and validation of data pipelines and processes. • Documentation: Provide comprehensive documentation for all processes and procedures. • Team Collaboration: Work closely with cross-functional teams to ensure project success.

• Agent Development: Design and optimize the clearml-agent, a Python service responsible for pulling jobs, setting up environments, and executing ML pipelines. • Kubernetes Integration: Write logic to interact directly with K8s APIs, manage Pod life-cycles, and handle Custom Resource Definitions (CRDs). • Resource Management: Implement logic for dynamic resource allocation (GPU/CPU/Memory) and container orchestration. • Systems Programming: Build robust daemons and services that interact with OS-level primitives (systemd, signals, I/O streams). • Networking: Troubleshoot and optimize TCP/IP connections, DNS resolution, and firewall traversal to ensure seamless connectivity for users.

• Define and own the end-to-end traceability and verification strategy, aligning requirements with design, implementation, and certification (DO-178C, DO-254, ARP4754A) • Establish and continuously improve systems engineering processes and governance • Lead safety assessment activities (FHA, SSA, FTA) • Serve as the SME for systems engineering standards and regulatory compliance (FAA, EASA) • Maintain current knowledge of evolving UAS regulations and proactively adapt practices • Lead the systems engineering and architecture team, providing technical direction on complex system-of-systems challenges • Own system architecture decisions, trade studies, and requirements decomposition across all domains • Drive the selection and implementation of requirements management and MBSE tools • Build, mentor, and develop a high-performing systems engineering team • Partner with cross-functional teams (Software, Hardware, Ops) and Product Management to ensure alignment and seamless system integration