• Build and deploy integration solutions — EDI (214, 315), callbacks, custom payload mapping, and API integrations — with production-grade quality and full test coverage • Deploy agentic AI workflows that orchestrate supply chain operations live with customers present — configuring and deploying in the call, not gathering requirements to build later • Write and extend LangGraph-based workflow extensions and wrapped action customizations in Agent Studio • Use Claude, OpenAI, and other LLMs across the entire workflow — requirements documentation, integration design, code generation, testing and deployment; LLMs are not a convenience tool, they are how this team works • Participate in customer discovery and technical clarification calls — answering complex technical and product questions with concrete, innovative solutions in real time • Write thorough root cause analyses for integration failures and own the fix through to resolution • Perform code reviews on integration and AI workflow work and maintain the team's quality standards before any customer deployment • Contribute to the team's reusable integration package and AI workflow template library as you build • Mentor incoming FDEs — pair on hard problems, accelerate their ramp-up, and share institutional knowledge • Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes

• Engage with customers, partners, and prospects to understand their problems, scope technical requirements, prototype and propose effective solutions • Work with cross-functional teams across Primer to satisfy the unique requirements of our national security customers and deploy our products in secure environments • Partner with our Product Management and Engineering teams to identify and prioritize feature development based on customer feedback • Train, deploy, and tune machine learning models on customer data sets • Dig into software source code to customize, integrate, and troubleshoot onsite customer product deployments • Provide subject matter expertise to advise our DevOps and Engineering teams on feature and deployment enhancements

• Lead and perform detection content development within the SIEM platform (Elastic, Palo XSIAM, Crowdstrike), including: • Creation, tuning, and lifecycle management of detection rules, correlation rules, and analytic stories/use cases • Definition and maintenance of data models, normalization, and enrichment required to support high‑quality detections • Mapping detections to frameworks such as MITRE ATT&CK where applicable • Identify gaps in detection coverage based on incident trends, threat intelligence, and hunt activities • Reduce false positives and improve alert signal‑to‑noise ratio through iterative tuning • Translate playbooks and incident response workflows into robust, testable detection. • Monitor and manage the health and performance of SIEM detection content, including: • Tracking detection firing patterns, volumes, and performance impact. • Conducting post-incident reviews to refine detections and create new coverage. • Ensuring detections remain aligned with client use cases, risk profiles, and contracted scope. • New and existing detections are prioritized based on risk, impact, and available data • Partner with AHEAD Managed Security and client resources in the design and implementation of new data visualizations and detection rules, including: • Building dashboards, visualizations, and investigative views that support triage and hunting • Collaborate with AHEAD Managed Security SOAR (Swimlane) engineering resources to: • Integrate SIEM detections with SOAR workflows for enrichment, triage, and response • Continuously improve incident investigation workflows and automation quality based on detection output • Engage with client security and IT infrastructure teams for new data source onboarding activities, including: • Defining logging, parsing, normalization, and enrichment requirements to support current and planned detections • Validating that ingested data is complete, normalized, and usable for detection engineering • Tune rules, filters, and policies across SIEM and related security technologies (IDS, EDR, firewalls, etc.) to: • Improve accuracy, visibility, and coverage while minimizing noise • Ensure consistent correlation and context across multiple technologies • Perform data mining and exploratory analysis of log sources to: • Uncover and investigate anomalous activity and potential undetected attack patterns • Identify new detection opportunities and support proactive threat hunting • Assist with the development and improvement of processes and procedures for: • Detection lifecycle management (design, testing, deployment, monitoring, retirement) • Improving incident response times, incident quality, and overall Managed Security functions • Participate in client-facing security meetings to: • Explain detection strategy, coverage, and improvements.

Role Description At Boomi, we aim to make the world a better place by connecting everyone to everything, anywhere. We are seeking a Solutions Engineer with a focus on iPaaS and Hybrid Integration. In this role, you will serve as a technical advisor during the sales cycle, demonstrating how Boomi’s platform solves complex business challenges by connecting disparate systems, applications, and data sources. You will be responsible for proving the technical value of Boomi’s connectivity—ensuring that data flows seamlessly and securely across the modern enterprise. Key Responsibilities - Technical Validation & Demonstration: Execute high-impact demonstrations that showcase Boomi’s capability to handle App Integration, EDI, and Managed File Transfer (MFT) workflows. - Real-Time Connectivity: Support the design of messaging architectures using Event Streams to enable event-driven business processes for prospects. - Proof of Concept (PoC) Leadership: Lead the technical validation phase for integration opportunities, configuring and proving the operability of Boomi within the prospect’s specific environment. - Enterprise Ecosystem Support: Assist in building connectivity solutions for complex landscapes, including Hybrid-Cloud and Multi-Cloud environments, ensuring interoperability between core systems of record and cloud applications. - Consultative Discovery: Partner with Account Executives to identify technical pain points and landscape requirements via discovery calls and technical workshops. - Collaborative Sales Support: Work with Senior Solutions Engineers and "Win Teams" to provide technical depth for RFI/RFP responses and detailed product specifications. Qualifications - iPaaS Proficiency: Practical experience with iPaaS technologies and integration patterns (synchronous/asynchronous, hybrid cloud). - Messaging & Events: Foundational knowledge of event-driven architectures (EDA) and tools such as Event Streams, Solace, Kafka, or RabbitMQ. - B2B & File Standards: Practical knowledge of EDI standards and secure Managed File Transfer (MFT) protocols. - Analytical Problem Solving: A structured approach to designing integration workflows and troubleshooting complex mapping or transformation logic. - Technical Communication: Ability to translate technical connectivity concepts into clear business value for both technical users and business stakeholders. Requirements - Cloud & APIM Platforms: Proficiency in AWS, Azure, or GCP ecosystems and enterprise API suites (e.g., MuleSoft, Apigee, or Kong). - Professional Certifications: Industry credentials in Cloud Architecture (AWS/Azure/GCP), Information Security (CISSP/CCSP), or Enterprise Frameworks (TOGAF). - Governance & Emerging Tech: Knowledge of API Lifecycle Management and the security/orchestration of AI-driven APIs and LLMs. Benefits - On Target Earnings (OTE) for this role are $154K - $193K (inclusive of commission). - Base compensation is determined by various factors including geographic location and the candidate's knowledge, skills, and experience. - This position is remote-friendly.