• Embed with customer teams to deploy Connect AI, configure MCP servers, connect data sources, and validate agent workflows in production • Build and test AI agent integrations using Connect AI Workspaces and Toolkits with correctly scoped data access • Configure semantic context and governance layers for accurate, permission-aware agent responses across connected sources • Build and ship AI integrations • Write production code in Python, Java, or C# connecting customer systems to Connect AI via MCP, REST, OData, and CData drivers • Implement the integration patterns and security configurations defined with the engagement architect • Contribute to and reuse the FDE team's reference architectures, blueprints, and sample agents • Build and deliver iterative solutions on a multi sprint cadence with weekly customer demos, validation checkpoints, and AI workflow refinement • Own deployment health for your engagements, monitor MCP performance, troubleshoot agent accuracy, and ensure a smooth Customer Success handoff • Triage and resolve production issues with appropriate escalation to the architect or product team • Document product gaps and agent behavior patterns from the field; feed prioritized insights to the Connect AI product team • Capture reusable patterns from your engagements, code snippets, deployment recipes, and troubleshooting notes that compound across the FDE team

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are part of Micron's Technology Development organization, where advanced ideas become manufacturable technologies. Our team works at the groundbreaking edge of memory innovation at the NYCreates site in Albany, partnering across global teams and suppliers to enable Micron's technical roadmap. In this role, you will lead the installation, optimization, and maintenance of High NA EUV Track equipment to ensure flawless process integration. This is a place for curiosity, experimentation, and real impact as we advance the next generation of semiconductor devices! Responsibilities Lead equipment hardware projects and installations, partnering with suppliers and facilities to meet future process requirements. Develop and optimize advanced photolithography track recipes to meet performance, defect, and cost targets for new memory parts. Identify and resolve equipment-related issues by applying failure analysis, FMEA, 8D, or SPC/FDC methodologies. Design preventative maintenance schedules and programs to increase equipment uptime and reliability. Evaluate and qualify new photo film materials and equipment configurations to support technology scaling. Collaborate cross-functionally with Technology Development teams in Boise and Hiroshima while protecting Micron's intellectual property. Mentor junior engineers on equipment operations to contribute to the advancement of departmental goals. Minimum Qualifications Master's degree in Engineering or a related technical field. 4 years of experience in photolithography track equipment development and maintenance. Demonstrated expertise with High NA EUV Photo Track hardware and process control systems. Proven ability to troubleshoot mechanical systems and interpret complex schematic diagrams. Experience with failure analysis methodologies (FMEA, 8D, or SPC/FDC) to resolve assembly process issues. Preferred Qualifications Experience in technology development or R&D fab environments. Background in DRAM track process optimization and process integration flow. Technical leadership experience in a consortium or multi-company environment. The US base salary range that Micron Technology estimates it could pay for this full-time position is: $90,000.00 - $154,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Role Description We’re seeking a Senior Full Stack Engineer to help drive the evolution of our platform—building robust web applications, APIs, and data systems that power our products. This role is a global opportunity that requires a 4 hour overlap with US Mountain Time. What You'll Build: - Build and operate the systems that deliver Forager.ai's people and organization data to platform customers at scale. - Real-time enrichment APIs — person/org lookup, contact data, reverse search for waterfall platforms. - Bulk data feed delivery — maintain the Snowflake service delivering billions of data points daily to Data Feed customers. - Elasticsearch search infrastructure — indexing, query design, relevance tuning, and cluster scaling for person/company search and filtering APIs. - ETL pipelines — workers, task queues, and transformations moving data into APIs and feed exports. - Customer-facing web app and developer experience — React/TypeScript app, docs, onboarding flows, and self-serve surfaces. - Compliance and observability — data-sourcing proofs, GDPR/PII handling, and scoreboard metrics for each Data Quality dimension. Qualifications - 5+ years building and operating production web applications and APIs. - Strong proficiency in Python / Django and React / TypeScript. - Hands-on experience operating Elasticsearch at scale — schema design, query tuning, cluster management. - Production experience with PostgreSQL, Redis, and async task systems (Celery / RabbitMQ or equivalent). - Demonstrated track record building and operating ETL pipelines that move significant data volumes reliably. - Comfortable with AWS (ECS, S3, CloudWatch) and CI/CD pipelines (GitHub Actions or equivalent). - Experience operating services in production — observability, on-call, incident response. - Strong written communication; comfortable owning documentation as a deliverable. Requirements - AI coding tools (Claude Code, Cursor, Copilot, or equivalent) used daily for implementation, refactoring, and code review. - Agentic workflows — designing, orchestrating, and debugging multi-step agent pipelines. - Judgment about where AI helps vs. hurts — knowing when to delegate to an agent, when to write the code yourself, and how to keep an agent on rails for production work. Nice to Have - Experience with Snowflake or other data warehouses. - Background in B2B data products — enrichment, contact data, company data, search/discovery. - Experience with web crawling, data sourcing, or large-scale ingestion systems. - Open-source contributions or public technical writing. Benefits - Remote first culture. - Unlimited PTO. - Competitive salary and benefits package. - Work in a fast-paced, collaborative, and supportive environment. - Opportunity to grow and advance your career. - Opportunity to be on the ground floor of a fast-growing startup.

Role Description We're looking for a AI/ML Engineer (Senior/Staff/Principal) - Threat Detection who will design, build, and operationalize the detection algorithms, ML inference pipelines, and risk aggregation systems that power our autonomous threat detection platform. You'll work at the intersection of identity security, behavioral analytics, and applied machine learning — building production systems that analyze ZTNA audit logs in near real-time, surface high-fidelity threat signals, and feed into our Risk Sentinel enforcement engine to continuously harden access decisions. Key Responsibilities - Your engineering work will directly enable next-generation capabilities, including: - Threat Detection Engine: Rule-based, behavioral, and ML-based detections across identity, access, network, and session domains — including brute force, privilege escalation, impossible travel, data exfiltration, and off-hours activity. - ML Anomaly Detection: Production models using Isolation Forest, One-Class SVM, and Autoencoder neural networks to surface behavioral outliers that rules miss. - Risk Aggregation & Enforcement: Normalize and weight detection signals into user and device risk scores; integrate with the AppGate Risk Sentinel engine to drive continuous access decisions. - Real-Time Detection Pipeline: Near real-time streaming architecture ingesting ZTNA audit logs, with stateless detection outputs feeding incrementally updated risk scores. - AI Agent Security: Detect drift, unexpected resource escalation, and signs of compromise or misconfiguration in autonomous AI agents operating within the ZTNA environment. - Autonomous Remediation (Roadmap): Build the enforcement feedback loop enabling the Risk Sentinel to auto-remediate high-confidence threats and support AI-assisted investigation. - Design and implement detection algorithms spanning authentication, authorization, network/location, data access, session management, and temporal behavioral domains. - Train, evaluate, and deploy ML models on real-world identity and network telemetry; tune for production precision and recall targets. - Architect and operate the detection pipeline — from audit log ingestion through risk aggregation and Risk Sentinel integration. - Define the detection taxonomy — categorizing, prioritizing, and lifecycle-managing the full detection library using a scalable detection family model. - Instrument and improve signal quality — measuring MTTD, false positive rates, and MITRE ATT&CK coverage; partnering with red teams to validate detections against real attack scenarios. - Collaborate cross-functionally with security, product, and platform engineering to align detection coverage with customer threat models and roadmap priorities. Qualifications - 7+ years of production AI/ML engineering experience, with a strong preference for candidates who have built threat detection, UEBA, ITDR, or identity security platforms at leading security or cloud companies. - Detection algorithm expertise: Hands-on experience designing detections for identity-based threats — credential compromise, privilege escalation, insider activity, behavioral anomalies, and data exfiltration. - ML proficiency: Anomaly detection (Isolation Forest, One-Class SVM, Autoencoders), statistical methods, and supervised classification using PyTorch or TensorFlow. - Data & streaming engineering: Real-time or near-real-time pipeline experience (Kafka, Flink, Spark Streaming, or equivalent); familiarity with lakehouse formats (Apache Iceberg, Parquet). - Security domain knowledge: MITRE ATT&CK, identity threat kill chains, ZTNA or network access control systems, and audit log analysis. - Bonus: Experience with detection-as-code frameworks (Sigma, YARA), ZTNA platforms, LLMs or GNNs applied to security, or publications at USENIX, CCS, NeurIPS, or ICML. - Mindset: Mission-driven, production-focused, signal-obsessed. You measure precision and recall, you eliminate alert fatigue, and you care that your work protects real systems. Company Description AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution. AppGate is the only direct-routed ZTNA solution built for peak performance, superior protection and seamless interoperability. AppGate safeguards Fortune 500 enterprises worldwide. Learn more at appgate.com.