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Join one of the fasted growing AI/ML services companies! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $140,000 - $190,000 per year A bit about us: We are a data and AI services company that has been growing tremendously over the last 10 years. We anticipate growing 40% yoy over the next 5 years and are looking to bring on solutions architects who have worked with enterprise customers to build out applications and utilize data in a more efficient way. Why join us? Join us for the growth and opportunity to join a best-in-class organization. As we grow there will be opportunities to work with the biggest commercial companies to support their adoption and growth into AI/ ML applications. Job Details This job is 100% remote but will require travel to customer sites throughout the US. We are looking for someone who has the following: At least 5 years as a customer-facing solutions architect. Hands-on keyboard producing code and managing teams. Experience with enterprise customers and supporting product adoption and services expansion. Must be able to write Python or Scala. With your experience, we expect mastery over SQL and the ability to troubleshoot distributed databases. Experience working with a wide variety of data sources, including MySQL, Kafka, and business app's like SAP and ORCL. Finally, must have experience with Snowflake, Redshift, or EMR. If this aligns with the work you've done in the past, please apply, or email Adam Bennett @ https://jobot.com/apply/ml-solutions-architect/1310409858?utm_source=Monster - and put "Solutions Arch" in the subject line. Thank you! Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Date Posted: 2026-04-09Country: United States of AmericaLocation: US-AZ-TUCSON-801 ~ 1151 E Hermans Rd ~ BLDG 801 (External Site)Position Role Type: OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements: * Active and transferable U.S. government issued security clearance is required prior to start date.? U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance?Security Clearance Type: DoD Clearance: SecretSecurity Clearance Status: * Ability to obtain INTERIM U.S. government issued security clearance is required prior to start dateAt Raytheon, the foundation of everything we do is rooted in our values and a higher calling — to help our nation and allies defend freedoms and deter aggression. With more than 100 years of engineering excellence, we solve complex, meaningful problems that create a safer, more secure world. The Effectors Optics Department is seeking a Senior Electro-Optical Integration & Test Engineer to join a multidisciplinary team supporting development, qualification, and production of advanced EO systems. This role focuses on imaging sensor subsystems, hardware integration, verification, and production transition across a diverse portfolio of EO products. This position is central to the successful integration and validation of electro-optical systems. It bridges optics, electronics, mechanical, and software disciplines to ensure subsystems function cohesively, performance requirements are verified, and hardware transitions efficiently from development to production. What You Will Do Lead optical and electro-mechanical alignment and verification of EO imaging subsystems Integrate detectors, optics, electronics, and firmware into functioning hardware assemblies Develop and execute system-level test plans for development and production programs Design and implement automated test processes and data acquisition tools Analyze test data and develop models to support performance verification and root-cause investigations Design and maintain EO subsystem test fixtures and support equipment Troubleshoot hardware issues at the component and system level Support production activities including documentation, process improvements, and yield enhancement Participate in technical reviews and continuous improvement initiatives Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience or an advanced degree in a related field and minimum 3 years' experience Experience in electro-optical systems, imaging systems, system integration, or hardware test Experience with system-level integration and verification of complex hardware Experience with test data analysis and interpretation Qualifications We Prefer Advanced degree in Optics, Electrical Engineering, Physics, or related STEM discipline Experience with imaging systems (IR, visible, or multi-spectral) Experience integrating EO hardware and embedded electronics Proficiency in MATLAB, Python, or C++ for data analysis and test automation Experience developing automated test scripts and data acquisition systems Hands-on experience with laboratory measurement equipment and environmental test setups Experience supporting products transitioning from development to production What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation assistance available! Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm LI-TR1 As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Build scalable enterprise data platforms for Fortune-level clients across AWS and Snowflake This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $205,000 per year A bit about us: We are a leading modern data consultancy helping enterprise organizations solve complex data engineering, cloud, analytics, and AI challenges. Our teams partner with major cloud platforms and technologies including Snowflake, AWS, Azure, Databricks, dbt, Kafka, Fivetran, and more to deliver enterprise-scale solutions for some of the world’s largest organizations. Our company operates in a remote-first environment across the United States, Latin America, and India. We are growing rapidly and continue to invest heavily in cloud engineering, data modernization, AI innovation, and enterprise analytics solutions. Why join us? Competitive compensation: $170K–$225K base salary + bonus Remote-first environment with occasional customer-site travel Work with cutting-edge cloud technologies including AWS, Snowflake, PySpark, Databricks, Kafka, and Airflow Opportunity to own strategic customer relationships and enterprise architecture initiatives Fast-growing organization with strong career growth opportunities Award-winning culture focused on collaboration, autonomy, innovation, and professional development 4 weeks PTO, strong healthcare benefits, 401(k), certifications, and training opportunities Job Details We are seeking a Solutions Architect with a strong hands-on background in Data Engineering, Cloud Architecture, and enterprise-scale modern data platforms. This role combines deep technical architecture responsibilities with customer-facing consulting, solution design, and strategic account leadership. The ideal candidate will have strong expertise in AWS, PySpark, and Snowflake while also being comfortable operating as a trusted advisor for enterprise clients. What You’ll Do: Technical Leadership Architect and design enterprise cloud-native data platforms and engineering solutions Lead solution design, discovery sessions, assessments, and technical roadmaps Design scalable, secure, and high-performing data solutions leveraging AWS, Snowflake, and PySpark Guide implementation teams through complex data engineering initiatives Mentor engineers and architects across multiple customer engagements Lead technical discussions around streaming, orchestration, lakehouse, migration, and analytics architectures Client Engagement & Strategic Consulting Build strong executive and stakeholder relationships across enterprise accounts Identify opportunities to expand services and deepen strategic partnerships Lead technical presentations, architecture reviews, RFP responses, and solution proposals Translate complex business requirements into scalable technical solutions Act as a trusted technical advisor for enterprise customers What You Bring: 8+ years of experience in Solutions Architecture, Data Engineering, or client-facing cloud architecture roles Strong hands-on expertise with: o AWS o PySpark o Snowflake Strong experience designing enterprise cloud-native data platforms Advanced SQL, data modeling, and data engineering experience Experience with cloud-native technologies such as Kafka, Airflow, Databricks, dbt, Fivetran, or Matillion preferred Strong client-facing communication and consulting experience Experience leading technical teams and mentoring engineers Strong Python development experience preferred Bachelor’s degree in Computer Science or related field preferred Important Requirement Candidates must be authorized to work in the United States without sponsorship now or in the future Unable to provide visa sponsorship or C2C arrangements for this opportunity Preferred Background: Experience within consulting, professional services, or customer-facing technical environments Experience supporting enterprise-scale cloud migrations and modernization initiatives Snowflake or AWS certifications strongly preferred Experience with streaming, lakehouse, medallion architecture, or AI/ML data platforms preferred Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Overview: If you reside in California, please see our _ for more information about our data handling practices and your data rights. Responsibilities: We are seeking a Data Scientist with strong industry experience to operate as a cross‑functional leader at the intersection of transportation operations, operations research, AI, and business strategy. This role partners deeply with Operations, Technology, Product, Finance, and Executive Leadership to design and deploy analytics and AI solutions that materially improve service reliability, efficiency, and decision‑making. In addition to advanced modeling, this role serves as the enterprise champion for Agentic AI adoption, ensuring autonomous and semi‑autonomous systems are introduced responsibly, collaboratively, and with measurable operational impact. Cross‑Functional Operating Model This role does not sit in isolation within data science. Instead, you will: • Co‑create solutions with Operations and Planning leaders, • Partner with IT, Data Engineering, and Platform teams on scalable cloud architectures, • Collaborate with Product and Innovation teams on user‑centric decision tools, • Engage Finance and Procurement on cost, ROI, and optimization tradeoffs, • Advise Executive Leadership on AI strategy, automation risk, and operational impact You are expected to influence without authority and act as a unifying technical and strategic voice across functions. Key Responsibilities Transportation Operations & OR (Business‑Embedded) • Work directly with operations, dispatch, and planning teams to understand constraints, tradeoffs, and real‑world decision processes., • Design and deploy operations research and analytics solutions for:, • Scheduling and rostering, • Fleet sizing and allocation, • Demand forecasting and capacity planning, • Service reliability, on‑time performance, and cost optimization, • Balance mathematical optimality with operational practicality and change management. Agentic AI Champion (Enterprise‑Wide) • Act as the cross‑functional champion for Agentic AI, driving alignment across technical, operational, and leadership teams., • Identify opportunities where agent‑based systems can augment planners, dispatchers, analysts, and executives., • Design agentic workflows that integrate:, • Planning and reasoning, • Optimization tools and simulation engines, • Data platforms, APIs, and business rules, • Human‑in‑the‑loop controls for safety‑critical decisions, • Establish shared standards for governance, observability, safety, and accountability of agentic AI across departments. Microsoft Fabric & Cloud‑First Enablement • Partner with data engineering and platform teams to deliver solutions on Microsoft Fabric, including:, • OneLake, Lakehouses, and Warehouses, • Fabric Notebooks (Python / Spark), • Power BI semantic models for operational decision support, • Ensure analytics and AI outputs are consumable by both technical and non‑technical users., • Influence cloud architecture decisions to support real‑time and large‑scale transportation analytics. Research‑to‑Operations Translation • Bring PhD‑level rigor into applied, cross‑functional problem solving., • Translate advances in:, • Operations research, • Machine learning, • Reinforcement learning, • Agentic and autonomous systems into solutions that can be operationalized and sustained. • Produce internal frameworks, playbooks, and reference architectures used across teams. Strategic Influence & Enablement • Serve as a trusted advisor to senior leaders on:, • AI investment decisions, • Automation risk and readiness, • Tradeoffs between cost, service quality, and equity, • Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the organization., • Facilitate cross‑functional forums or working groups around analytics, AI, and automation. Qualifications: Required Qualifications • Masters/PhD in Operations Research, Industrial Engineering, Transportation Engineering, Computer Science, Applied Mathematics, Statistics, or a related field., • 7+ years of industry experience working in transportation, logistics, mobility, or complex operational environments., • Demonstrated success operating in highly cross‑functional settings., • Deep expertise in optimization, simulation, and statistical modeling, combined with ML., • Strong programming skills in Python; experience integrating OR solvers and dashboards., • Experience delivering solutions in cloud‑based, enterprise environments., • Exceptional communication and stakeholder‑management skills. Agentic AI–Specific Requirements • Experience leading or designing agentic AI systems across multiple teams or functions., • Ability to explain agentic concepts clearly to operations, leadership, IT, and risk teams., • Strong judgment in distinguishing when:, • Deterministic OR is sufficient, • ML adds value, • Agentic AI is appropriate, • Commitment to responsible AI deployment, particularly in safety‑, equity‑, and compliance‑sensitive transportation systems. Preferred Qualifications • Experience in public transit, paratransit, logistics, or large fleet operations., • Familiarity with Microsoft Azure and Fabric‑based analytics ecosystems., • Experience influencing AI governance, operating models, or centers of excellence., • Prior leadership in enterprise transformation or modernization initiatives. What Success Looks Like • Operations trust and actively use analytics and AI solutions., • Agentic AI is adopted intentionally, safely, and cross‑functionally—not in silos., • Microsoft Fabric enables shared, consistent decision‑making across teams., • Leadership views this role as a connector between strategy, technology, and day‑to‑day operations. MV Transportation is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, physical or mental disability, veteran or military status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants. Where permissible under applicable state and local law, applicants may be subject to a pre-employment drug test and background check after receiving a conditional offer of employment. #appcast

Global Network Director Dallas, TX Onsite 5 Days / Week $200,000 - $250,000 + Bonus + Equity Relocation support available if needed Overview: A global technology organization is seeking a Global Network Director to lead worldwide network operations, including Network Engineering, Data Center Infrastructure, and Network Security. This role owns strategy, execution, and reliability of a highly distributed, business-critical network environment. The successful candidate will define and execute the global network strategy, with a strong focus on modern, large-scale data center networking, ensuring a highly available, secure, and scalable infrastructure. Key Responsibilities: • Lead global Network Engineering, Data Center, and Network Security teams across multiple regions, • Define and execute long-term strategy for network scalability, performance, and modernization, • Ensure high availability, resiliency, and security of enterprise-scale networks, • Architect and support LAN, WAN, SD-WAN, and cloud networking environments, • Oversee data center operations, including capacity planning, disaster recovery, and business continuity, • Establish and enforce network security standards and compliance practices, • Partner with IT leadership and business stakeholders to align network initiatives with company goals, • Manage vendors, contracts, and third-party service providers, • Own global network operations budget and cost optimization, • Mentor and develop a globally distributed team, • Report network performance, risk, and initiatives to executive leadership Required Qualifications: • 10+ years in network engineering / operations, • 5+ years in senior leadership or director-level roles, • Experience designing, deploying, and operating large scale Spine-Leaf architectures in a production data center environment, • Deep expertise in enterprise and global network architecture (LAN, WAN, SD-WAN, cloud), • Strong knowledge of routing, switching, and network protocols (BGP, OSPF, MPLS, TCP/IP), • Experience with both Cisco and Arista, • Experience supporting large-scale data center environments, • Strong understanding of network security principles and controls, • Experience with public cloud networking (AWS, Azure, or GCP), • Excellent communication skills across global teams, • Willingness to travel internationally (up to ~25%) Nice to Have: • Experience with network automation (Python, Ansible, Terraform), • Exposure to SDN, network virtualization, or modern observability platforms, • Industry certifications (CCIE, CISSP, or similar)

Dear Applicant, Please let me know if you are interested. Job Title – Sr. Java FSD with Strong react.js or Angular Location – Irving, TX – Onsite 3 days / week Hire Type – Fulltime Job Description • 8+ years of experience in Design and Development of applications using Java 8+/J2EE, Spring, Spring-Boot, RESTful Services and UI Framework, • 2+ years of experience in design and development of Microservice using Spring-Boot and REST API, • Strong knowledge/experience in ORM Framework - JPA / Hibernate, • Good knowledge and experience in Docker and Kubernetes, • 1+ years of experience in designing and Implementing cloud-based solutions in various AWS Services (EC2, IAM, S3, Lambda, etc), • Good knowledge and experience in any RDBMS/PostgreSQL, • Strong experience in DevOps tool chain (Jenkins, Artifactory, Maven/Gradle, GIT/BitBucket), • Good knowledge in technical concepts – Security, Transaction, Monitoring, Performance Nice to have:, • Experience with OAuth implementation using Ping Identity, • Familiarity with API Management (Apigee) and Service Mesh (Istio), • Experience with Elasticsearch, Logstash & Kibana • Good knowledge and experience in any Queue based implementations, • Good knowledge and experience in NoSQL (MongoDB), • Experience with scripting languages using Unix, Python, • Experience in any one of the UI Framework - Angular / ReactJS Soft Skills, • Fast learner of new technologies and tools., • Work independently contributing to the success of assigned project(s)., • Degree in Computer Science, Engineering or equivalent, • Preferably certified in AWS

Full stack developer(only on W2) Contract Dallas, Texas Hybrid We are seeking a hands-on Full Stack Engineer to design, build, and deliver production-grade platform services for an AI-native enterprise system. This role sits at the intersection of frontend engineering, backend services, and agentic AI platforms, supporting AI agents and orchestration workflows (LangGraph). You will work across the full stack—owning APIs, data layers, and user interfaces—while ensuring scalable, secure, and observable systems in a cloud-native environment. This is a 100% hands-on role, focused on building and operating production systems end-to-end. Key Responsibilities Full Stack Development • Design and build modern frontend applications using React or Angular (TypeScript, component-driven architecture, state management), • Develop backend services and APIs using Python (FastAPI preferred) or similar frameworks, • Implement secure, scalable REST APIs and real-time communication (WebSockets / streaming), • Ensure clean separation of concerns across frontend, API, and data layers Agentic AI Platform Integration • Build backend services that act as tools and APIs for AI agent workflows, • Design APIs that provide structured, deterministic data to LLM-based orchestration layers, • Support Human-in-the-Loop (HITL) workflows, including approval flows, callbacks, and state management, • Integrate with tool-calling frameworks and external AI orchestration systems, • Enable observability of agent workflows through structured logging, tracing, and correlation IDs Backend & API Engineering • Develop layered backend architectures using FastAPI, dependency injection, and clear interface boundaries, • Implement asynchronous data access patterns and high-performance APIs, • Define and enforce API contracts, validation models (e.g., Pydantic), and error handling standards, • Implement authentication and authorization using JWT, OAuth, IAM Frontend Engineering • Build responsive, accessible UI components, • Implement state management (Redux Toolkit, Zustand, NgRx, etc.), • Integrate APIs, handle authentication flows, and ensure performance optimization, • Write unit and integration tests (Jest, React Testing Library, or Angular equivalents) Cloud-Native Development • Build and deploy services on GCP (preferred), AWS, or Azure, • Implement event-driven architectures (Pub/Sub, messaging systems), • Work with managed services for compute, storage, and data processing, • Ensure secure configuration, secret management, and scalable deployments Data Layer & Integration • Design and implement data access across:, • Relational databases (PostgreSQL / AlloyDB), • Graph database (Spanner), • NoSQL stores (Firestore or equivalent), • Caching layers (Redis), • Analytical systems (BigQuery or equivalent), • Integrate with enterprise systems (e.g., SAP, Microsoft Graph, internal APIs), • Build resilient integrations with retry, timeout, and fault handling patterns Testing & Quality Engineering • Write comprehensive unit and integration tests (pytest, pytest-asyncio, Jest), • Cover edge cases, failure scenarios, and asynchronous workflows, • Follow best practices for code quality, observability, and maintainability Required Skills & Experience • 8+ years of experience in full stack software engineering, • Strong frontend experience with React or Angular (TypeScript), • Solid backend development experience with Python (FastAPI, Flask, or Django), • Experience building and deploying production-grade APIs and microservices, • Experience with agentic AI concepts (e.g., LangGraph, LangChain, tool-calling workflows), • Strong understanding of REST APIs, async programming, and distributed systems, • Experience with relational databases and graph databses, • Hands-on experience with at least one major cloud provider (GCP preferred), • Strong testing practices across frontend and backend, • Experience with Git-based workflows and code reviews Preferred Qualifications • Hands-on experience with LangGraph or similar agent orchestration frameworks, • Experience with Human-in-the-Loop (HITL) workflow patterns, • Familiarity with Model Context Protocol (MCP) or tool integration patterns, • Experience with real-time systems (WebSockets, streaming architectures), • Strong experience with GCP services (Firestore, Pub/Sub, BigQuery, Cloud Run), • Knowledge of distributed caching and concurrency patterns (Redis), • Experience integrating with enterprise identity systems (Azure AD / MSAL) Scope & Expectations • 100% hands-on engineering role (no people management), • Collaborate closely with AI/ML engineers on agent workflows and integrations, • Participate actively in design discussions, code reviews, and architecture decisions, • Deliver production-quality, scalable, and maintainable systems Vooturi Ramya Krishna Senior US IT Recruiter 1(925) 444-3318 rkrishna@invovia.net www.invovia.com 5890 Stoneridge Dr, Pleasanton, CA, 94588

Junior AI Engineer Job Description We are looking for a Junior AI Engineer to support the development and deployment of AI solutions. You will collaborate with senior engineers and data scientists on AI projects. Responsibilities Assist with AI model development Prepare and process datasets Monitor model performance Support AI application deployment Requirements Knowledge of Python and machine learning Familiarity with TensorFlow or PyTorch Basic understanding of AI concepts Strong analytical skills

About The Role This is a rare opportunity to step into a highly visible, in-flight Lakehouse transformation and immediately make your mark. A growing enterprise organization is in the middle of migrating its core data platform off legacy SQL infrastructure onto Azure Databricks — and they need a Senior Architect to take the wheel. You'll own the end-to-end Databricks architecture (Unity Catalog, Medallion architecture, Delta Lake), lead a team of internal engineers, and direct external consulting partners to keep the migration aligned and moving. As the migration ramps down later in the year, you'll help shape what's next — bringing in net-new data sources and expanding analytics and AI/ML capabilities on the platform. This isn't a "join a team and wait for direction" role. You'll be the final decision-maker on architecture, the go-to technical voice for both internal teams and outside vendors, and a key player in shaping a multi-year data and AI strategy for an organization investing heavily in modernization. Top Requirements • Databricks Architecture (8+ years) – Unity Catalog, Medallion architecture, performance tuning, platform maturity and best practices, • Azure Data Platform – PySpark, SQL, Delta Live Tables, streaming pipelines, CI/CD, migrating off legacy ETL tooling, partnering with security/networking teams, • Vendor & Team Leadership – Lead internal engineers while directing external consulting partners; own final architecture decisions on a high-visibility, in-flight program Why This Role • High-impact, high-visibility seat at the table during a pivotal platform transformation, • Direct influence over architecture decisions and long-term data/AI strategy, • Lead both internal and external teams — true ownership, not just execution, • Clear runway into expanding AI/ML and GenAI initiatives as the platform matures, • Ideal for someone who wants to grow into a broader platform/solution leadership track Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience, • 8+ years in Data, Analytics, or AI roles, with 4+ years in technical delivery/architecture leadership, • Proven Databricks Medallion architecture experience end-to-end, • Hands-on Databricks on Azure (security, networking, identity, storage), • Strong Python/PySpark and SQL skills, • Unity Catalog and enterprise data governance experience, • Experience managing external vendors/consulting partners on complex programs, • Track record of longer-tenure roles (3+ years) vs. short-term project work Nice To Have • Databricks certifications, • Experience with cloud DWH platforms (Synapse, Snowflake, BigQuery, Redshift), • Databricks AI/ML or GenAI exposure Key Details • Job Title: Databricks Senior Architect, • Location: Remote (US), • Salary Range: $180,000–$200,000 annually, • Bonus / Equity: Eligible to earn an annual performance bonus. Not equity eligible., • Benefits: Comprehensive benefits package including medical, dental, and vision insurance, life and AD&D insurance, short- and long-term disability, flexible spending account, and an employee assistance program. LaSalle Network is an Equal Opportunity Employer m/f/d/v. LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries. LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends, hiring challenges, and more to national news outlets. LaSalle Network offers temporary Field Employees benefit plans including medical, dental and vision coverage. Family Medical Leave, Worker's Compensation, Paid Leave and Sick Leave are also provided. View a full list of our benefits here: View a full list of our benefits here. All assignments are at-will and their duration is subject to change.

ABOUT THE ROLE: A well-capitalized, privately held real estate investment and development firm is adding a Senior Business Analyst to its growing Operations team in Dallas. This is a highly visible, data-driven role that sits at the intersection of compensation modeling, financial analytics, and operational reporting — supporting senior leadership and partnering cross-functionally across Finance, Accounting, Capital Markets, and Regional Teams. The team has grown rapidly over the past three years and has invested heavily in data warehousing and automation infrastructure. The person stepping into this role will build on that foundation — not starting from scratch. PRIMARY RESPONSIBILITIES: Compensation and Incentive Modeling • Administer and automate incentive compensation programs (short-term, long-term, and other plan structures), including maintaining underlying data models and calculations, • Develop and maintain complex compensation models and standardized templates supporting incentive calculations and the annual review cycle, • Partner with Human Resources to analyze market compensation data and support new hire and internal benchmarking, • Present compensation findings and recommendations to senior leadership Financial Planning, Reporting, and Analytics: • Partner with the FP&A Director on financial planning, forecasting, and performance analysis across the investment platform, • Support cash flow forecasting and capital planning across investments and corporate activities, • Lead the annual budgeting process for assigned areas and consolidate cross-functional inputs, • Prepare portfolio performance summaries for leadership — trends, variances, risks, and opportunities Ideal Requirements: Experience • 2–5 years in financial planning, operations analytics, compensation analysis, FP&A, or a related finance role, • Backgrounds we find compelling: FP&A / financial analytics, operations or strategy roles, Big 4 (Audit, Deals, or Advisory) professionals looking to move out of pure accounting, • Real estate exposure is preferred but not required, • High-potential early-career candidates with a strong analytical foundation will also be considered Skills and Tools: • Strong analytical and critical thinking skills — able to evaluate data, identify trends, and develop actionable insights, • Proficiency with reporting, analytics, and data visualization tools (Power BI, QuickBase, OneStream, or equivalent), • Working knowledge of dashboard development and database management, • Python experience is a plus, • Excellent written and verbal communication skills — comfortable presenting to senior leadership, • Self-starter with a high degree of ownership; able to operate independently in a fast-paced environment Education: • Bachelor's degree in Finance, Accounting, Business Administration, Economics, or related field required, • MBA or advanced degree is a plus WHY THIS ROLE: • Direct exposure to senior leadership and cross-functional decision-making, • Team that has intentionally invested in data infrastructure — you will be working with modern tooling, not spreadsheet archaeology, • Genuine opportunity to shape how the function evolves as the platform grows, • Full-time, on-site in Dallas To be considered or learn more, reach out directly. This search is being managed exclusively through JLF.

Job Title: AI/ML Lead Location: Dallas, TX, USA Job Summar yWe are seeking a highly skilled Software Development Engineer (AI/ML Lead) with strong expertise in Artificial Intelligence and Machine Learning. The ideal candidate will have proven experience in building, implementing, and customizing advanced AI/ML models, along with strong software engineering fundamentals. This role requires collaboration in a fast-paced, innovative environment .Key Responsibilitie • sDesign, develop, and implement AI/ML applications, with a focus on Large Language Models (LLMs) and their integration into enterprise systems, • .Develop scalable solutions using Python, R, or Java, • .Customize and optimize prebuilt models such as GPT, BERT, and DALL-E for business use cases, • .Architect and deploy high-performance LLM-based applications, • .Implement MLOps practices using tools like LangChain, LlamaIndex, and Ragas for model deployment and monitoring, • .Build applications leveraging Natural Language Processing (NLP) and Computer Vision, • .Collaborate with cross-functional teams to gather requirements and deliver solutions, • .Contribute to AI/ML research initiatives (papers, conferences, innovation programs), • .Stay up to date with the latest advancements in AI/ML technologies .Mandatory Skill • sStrong hands-on experience in AI/ML development and implementation, • .Proficiency in Python, R, or Java, • .Expertise in deep learning frameworks: TensorFlow, PyTorch, or Keras, • .Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E), • .Knowledge of MLOps practices and tools, • .Experience with cloud platforms: AWS, GCP, or Azure, • .Hands-on experience with Docker and Kubernetes, • .Familiarity with cloud AI services such as Amazon Bedrock, AWS SageMaker, Google Vertex AI, • .Strong problem-solving and analytical skills, • .Excellent communication and collaboration abilities .Preferred Skill • sExperience with AI/ML APIs and cloud AI services (Google AI, Azure AI, AWS SageMaker), • .Knowledge of Agile methodologies and modern software development practices, • .Contributions to AI/ML research (publications, conference presentations) .Qualification • sBachelor’s or master’s degree Computer Science, Engineering, or related field, • .Proven ability to lead AI/ML projects from design to deployment, • .Strong passion for innovation and emerging technologies .

Fraud Strategy & Model Risk Analytics Manager, Fraud Analytics & Governance Duration: 12 months, likely extension Pay: $65 - $67 / hourly as W2 **Candidates need to work 3 days onsite each week in one of the below locations: Dallas/Irving (TX), New Castle (DE), Jacksonville (FL), Sioux Falls (SD) The target hiring compensation range for this role is $65-67 / hourly as a W2 employee. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in a 401k plan with company match. Role Summary As a key member of the Fraud Analytics, Modeling & Intelligence organization, you will design and execute data-driven fraud strategies for North American and global portfolios. This high-impact role focuses on the full fraud lifecycle—from preventing synthetic ID and application fraud to mitigating sophisticated account takeover (ATO) schemes. You will sit at the intersection of data science and risk management, leveraging large-scale datasets to build proactive defenses that safeguard our customers and the bank’s reputation. Key Responsibilities include: Strategy & Execution: Lead Fraud Strategy: Design, test, and implement automated fraud risk strategies within advanced decision engines for consumer and commercial portfolios. Lifecycle Management: Manage the end-to-end model lifecycle, partnering with developers, vendors, and Model Risk Management (MRM) to ensure models are validated, high-performing, and compliant. Innovation: Continuously evaluate new data sources, AI/ML capabilities, and external tools to stay ahead of evolving fraud patterns. Analytics & Insights: Advanced Data Mining: Extract actionable insights from Big Data environments (Hadoop, Hive, Python) to identify emerging attack vectors and behavioral trends. Reporting & Governance: Support the "Authorization Governance" process by monitoring historical performance and translating complex data into clear, executive-level documentation. Technical Documentation: Produce rigorous technical reports that meet regulatory standards and survive deep-dive audits from supervisory authorities. Collaboration & Leadership: Cross-Functional Partnership: Act as a critical liaison between Fraud Policy, Operations, and Technology to ensure seamless execution of business priorities. Risk Advocacy: Foster a culture of transparency and ethical judgment, ensuring all strategic decisions align with global compliance and regulatory requirements. Qualifications: Experience: 5+ years in Fraud, Payments, or Risk Analytics. Experience in the banking or fintech sector is highly preferred. Technical Proficiency: 3+ years of hands-on experience in a Big Data environment. Advanced proficiency in Python, SQL, SAS, or Hive/Impala is required. Analytical Rigor: Proven ability to apply mathematical and statistical techniques to solve complex, real-world business problems. Communication: Exceptional ability to "translate" technical findings into strategic narratives for senior leadership and regulatory bodies. Autonomy: A self-starter capable of navigating a complex global matrix organization with minimal oversight. Education: Required: Bachelor’s Degree in a quantitative field (Statistics, Mathematics, Physics, Economics, or Computer Science). Preferred: Master’s Degree or Ph.D. in a related field. About Aquent: Aquent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent has access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

Role: Java FSD with Strong Angular Location: Irving, TX/Tampa, FL (Hybrid) Duration: Full time Java 70% and angular 30% Job Description: Mandatory: -5+ years of experience in Design and Development of applications using Java 8+/J2EE, Spring, Spring-Boot, RESTful Services and UI Framework • 2+ years of experience in design and development of Microservice using Spring-Boot and REST API, • Strong knowledge/experience in ORM Framework - JPA / Hibernate, • Good knowledge and experience in Docker and Kubernetes, • 2+ years of experience in any one of the UI Framework - Angular, • 1+ years of experience in designing and Implementing cloud-based solutions in various AWS Services (EC2, IAM, S3, Lambda, etc), • Good knowledge and experience in any RDBMS/PostgreSQL, • Strong experience in DevOps tool chain (Jenkins, Artifactory, Maven/Gradle, GIT/BitBucket), • Good knowledge in technical concepts – Security, Transaction, Monitoring, Performance Nice to have: • Experience with OAuth implementation using Ping Identity, • Familiarity with API Management (Apigee) and Service Mesh (Istio), • Experience with Elasticsearch, Logstash & Kibana, • Good knowledge and experience in any Queue based implementations, • Good knowledge and experience in NoSQL (MongoDB), • Experience with scripting languages using Unix, Python

Senior Azure Cloud Architect Location: Dallas, TX Work Arrangement: Hybrid, 3 days onsite / 2 days remote Type: Direct Hire Overview GTN is seeking a Senior Azure Cloud Architect to own and advance mission-critical cloud infrastructure on Microsoft Azure. This role will drive architecture decisions, enforce governance and security standards, lead Azure Landing Zone design, and own the Microsoft Fabric platform, all through Infrastructure as Code. This position requires deep hands-on Azure platform engineering expertise, strong Terraform experience, and the ability to collaborate cross-functionally with business, data, security, infrastructure, and application teams. The Senior Azure Cloud Engineer will help ensure cloud capabilities are scalable, secure, automated, cost-effective, and aligned with business objectives. Key Responsibilities Azure Landing Zone & Platform Engineering • Design, build, and maintain Azure Landing Zones, including management group hierarchy, subscription design, hub-and-spoke networking, and policy guardrails., • Codify all infrastructure using Terraform, including reusable, versioned modules and templates., • Drive a zero-manual-setup approach across Azure infrastructure and platform services., • Automate environment promotion from non-production to production with approval gates, rollback controls, and deployment validation., • Enforce naming conventions, tagging standards, and resource group structures at scale using Azure Policy., • Provision and govern Microsoft Fabric platform components through Infrastructure as Code, including workspaces, capacities, OneLake, RBAC, Git integration, and deployment pipelines. Infrastructure, Networking & Security • Architect scalable compute solutions using Azure VMs, VM Scale Sets, Availability Zones, App Service, AKS, Azure Functions, and Azure Container Apps., • Design and maintain Azure networking topologies, including VNets, VNet peering, hub-and-spoke models, NSGs, UDRs, Bastion, Private Endpoints, Azure Firewall, Front Door, and DDoS Protection., • Support hybrid connectivity through ExpressRoute, Site-to-Site VPN, and Azure Virtual WAN., • Design and manage Microsoft Fabric Private Link and Managed VNet configurations., • Manage secrets and encryption through Azure Key Vault., • Conduct security posture reviews using Microsoft Defender for Cloud and drive remediation of findings. Governance, Cost Management & Reliability • Own Azure governance across Azure Policy, Management Groups, subscriptions, tagging standards, and naming conventions., • Drive cost optimization through Reserved Instances, right-sizing, auto-scaling, and Azure Cost Management dashboards., • Administer Microsoft Fabric F SKU capacity, workload optimization, and cost management practices., • Define and support SLOs and SLAs for cloud platforms and workloads., • Implement backup, disaster recovery, and resilience strategies with defined RPO and RTO targets., • Support chaos engineering practices to improve platform reliability., • Administer the Microsoft Fabric admin portal and tenant settings to enforce governance, workspace isolation, and usage controls. Automation, CI/CD & DevOps • Build and maintain Infrastructure as Code pipelines using Terraform and Azure DevOps or GitHub Actions., • Implement deployment stages, approvals, rollback processes, and Key Vault secrets integration., • Develop operational automation using PowerShell, Azure CLI, Python, and the Microsoft Fabric PowerShell SDK., • Automate Microsoft Fabric operations, including workspace lifecycle, capacity scaling, deployment pipelines, and REST API workflows., • Support repeatable, auditable, and secure deployment practices across cloud environments. Microsoft Fabric Platform • Provision and manage Microsoft Fabric workspaces, capacities, Lakehouses, and OneLake using the Fabric Terraform provider and REST API., • Design and maintain OneLake medallion architecture, including Bronze, Silver, and Gold data layers., • Enforce data tier governance, workspace RBAC, tenant governance, and deployment controls., • Manage Fabric Git integration and deployment pipelines across Dev, Test, and Production environments., • Configure Fabric monitoring and integrate telemetry into the broader observability platform., • Maintain awareness of Fabric F SKU capacity usage, optimization opportunities, and cost implications. Monitoring, Observability & Incident Response • Implement monitoring, alerting, dashboards, and telemetry using Azure Monitor, Log Analytics, Application Insights, and Microsoft Sentinel., • Lead incident response for Azure platform and Microsoft Fabric issues., • Conduct post-incident reviews and drive permanent remediation., • Build and maintain runbooks, operational procedures, and escalation paths. Leadership & Collaboration • Translate business requirements into scalable, secure, and automated cloud architectures., • Engage with stakeholders across infrastructure, security, data, application, and business teams., • Maintain technical documentation, including runbooks, architecture diagrams, Landing Zone blueprints, and operational procedures., • Mentor junior engineers and promote engineering best practices., • Evaluate emerging Azure and Microsoft Fabric services and recommend adoption roadmaps. Required Qualifications Azure Platform Experience • 8+ years of hands-on Azure cloud engineering experience across identity, networking, compute, storage, monitoring, automation, and governance., • Proven experience designing and building Azure Landing Zones in production environments., • Demonstrated experience driving full Infrastructure as Code adoption and reducing or eliminating manual cloud setup., • Strong networking fundamentals, including TCP/IP, DNS, BGP, TLS, and cloud networking patterns., • Hands-on experience with Azure governance, security, monitoring, cost management, and reliability practices. Terraform & Infrastructure as Code • Expert-level Terraform experience, including modules, variables, remote state, workspaces, reusable architecture patterns, and policy deployment., • Production experience with the Microsoft Fabric Terraform provider., • Experience provisioning Fabric workspaces, capacities, Lakehouses, RBAC, and Git integration through Infrastructure as Code., • Experience building reusable Terraform modules and templates for enterprise-scale Azure environments. CI/CD & DevOps • Strong experience with Azure DevOps or GitHub Actions., • Experience building pipeline automation, deployment stages, approval workflows, and secrets integration., • Hands-on experience with non-production to production environment promotion and automated validation., • Familiarity with deployment rollback strategies and release governance. Automation • Proficiency with PowerShell, Azure CLI, Python, and the Microsoft Fabric PowerShell SDK., • Experience automating operational tasks, infrastructure deployment, Fabric administration, and platform workflows., • Ability to develop scripted and pipeline-driven tooling for repeatable operations. Microsoft Fabric • Working knowledge of the Microsoft Fabric Terraform provider, REST API, Deployment Pipelines, OneLake, medallion architecture, and capacity administration., • Familiarity with the Fabric admin portal, tenant settings, workspace governance, monitoring, Private Link, Managed VNets, and F SKU cost considerations., • Experience supporting Fabric governance, cost optimization, RBAC, and deployment lifecycle management. Preferred Qualifications • Microsoft Certified: Azure Solutions Architect Expert., • Microsoft Certified: DevOps Engineer Expert., • Experience in regulated industries such as healthcare, finance, government, or other compliance-heavy environments., • Familiarity with ISO 27001, SOC 2, HIPAA, FedRAMP, or similar compliance frameworks., • Experience with FinOps practices and cloud financial management tooling., • Multi-cloud exposure across AWS, GCP, or cross-cloud networking strategies., • Experience with Microsoft Sentinel, Defender for Cloud, and the broader Microsoft security portfolio., • Microsoft 365 administration experience, including Exchange Online, Teams, SharePoint, OneDrive, Entra ID, Intune, and Autopilot., • Experience with Infrastructure as Code automation testing. Ideal Candidate Profile The ideal candidate is a senior Azure platform engineer who can operate across architecture, automation, governance, security, networking, and data platform enablement. This person should be highly hands-on with Terraform, comfortable owning Azure Landing Zones, and experienced supporting Microsoft Fabric in an enterprise environment. The right candidate will bring strong technical depth, a security- and automation-first mindset, and the communication skills needed to partner effectively with technical teams, business stakeholders, and leadership.

We are an early-stage startup building an LLM-powered platform for MedTech companies to accelerate product realization that involves various compliance and regulatory focus workflows, intelligent data processing, and AI-driven decision-making. We are looking for a hands-on Founding Software Engineer who thrives in a fast-paced environment and enjoys solving complex engineering challenges from first principles. Key Responsibilities • Design and build scalable backend services and AI pipelines using Python and modern LLM frameworks., • Develop intuitive, high-performance frontend applications with React and Node.js., • Architect cloud-native solutions on AWS with a focus on scalability, reliability, and security., • Design efficient data models and optimize applications using MongoDB and PostgreSQL., • Develop robust algorithms and data structures to solve complex performance and data-processing challenges., • Collaborate closely with product, AI, and domain experts to rapidly prototype and deliver production-ready features., • Drive engineering best practices, code quality, and system architecture in a startup environment. Required Skills • Strong programming skills in Python with experience building AI/LLM-based applications., • Proficiency in React, Node.js, and modern web application development., • Experience with AWS services and cloud-native architecture., • Strong knowledge of MongoDB and PostgreSQL., • Excellent understanding of data structures, algorithms, and software design principles., • Minimum 2+ years of experience in designing a scalable distributed systems and APIs., • Ability to work independently, take ownership, and thrive in an early-stage startup. Nice to Have • Experience with Retrieval-Augmented Generation (RAG), vector databases, AI agents, or MLOps., • Exposure to healthcare, MedTech, or regulated environments (HIPAA, FDA, etc.)., • Experience building products from 0→1 in a startup environment. What We're Looking For A focus and passionate builder who combines strong computer science fundamentals with practical engineering expertise, enjoys solving difficult algorithmic problems, and is excited to shape the technical foundation of an early stage company.

Principal Go Developer Location: Dallas, TX or Remote Total experience 7+ and 10+ for a senior role Brie fWe are a tech-driven staffing and recruiting firm based in North America. Delivering the top 1% of Data, Analytics, AI and Sales talent for companies ranging from startups to enterprise . About the Ro leWe are seeking a talented Lead Software Engineer to help build the next-generation high-speed Data Observability and Orchestration Pipeline Framewor k. Working alongside a team of engineers and architects, you will be responsible for prototyping, designing, developing, and supporting a highly scalable SaaS-based platform. This is an exciting opportunity to play a key role in building cutting-edge systems leveraging Generative AI, microservices, and large-scale distributed architectur es. As a Lead Software Engineer, you will contribute to the evolution of client's next-generation technology platform capable of processing over 100 million transactions and terabytes of data per day while helping build dynamic AI-powered applications on the Strada platf orm. Key Responsibil ities1. Architect and Lead the Data Highway Pla • tformDesign and develop scalable, high-performance, and reliable architectures for the Data platform using Go and, • JavaBuild event-driven, high-throughput systems capable of processing millions of events per s, • econdImplement real-time streaming and messaging systems using technologies such as, • KafkaLead development and optimization of microservices to ensure scalability, performance, and sec, • urityCollaborate with cross-functional teams to define technical vision, architecture roadmap, and platform str ategy2. Drive AI Initia • tivesArchitect and develop AI-powered components that enhance intelligence and automation within the Data Hi, • ghwayIntegrate AI/ML models into real-time data processing sy, • stemsBuild AI-driven applications for observability, orchestration, and intelligent decision-making across large-scale distributed sy stems3. Hands-On Develo • pmentWrite clean, efficient, scalable, and maintainable GoLang, • codeDevelop RESTful APIs, distributed systems, and event-driven ser, • vicesContribute directly to the implementation of DataBahn’s SaaS pla, • tformConduct code reviews and mentor engineering teams on best practices, architecture, and coding stan dards4. Technical Leadership and Mento • rshipProvide technical leadership and mentorship to engineering, • teamsDefine architecture blueprints and scalable system de, • signsDrive innovation by researching and implementing emerging tools, frameworks, and methodol, • ogiesGuide teams in solving complex technical challenges and architectural deci sions5. Platform Optimiz • ationContinuously improve platform performance, scalability, and reliab, • ilityImplement performance tuning strategies inclu, • ding:Load bala, • ncingCa, • chingAuto-sc, • alingDesign and develop self-healing systems with automated failure detection and recovery mecha, • nismsEnsure high availability and minimal downtime across ser vices6. Security and Compl • ianceImplement robust security measures to en, • sure:Data inte, • grityConfidenti, • alityCompliance with industry stan, • dardsIdentify vulnerabilities and implement secure coding and architecture prac, • ticesEnsure secure and efficient data flow across distributed sy stems Qualific ationsEducational Back • groundBachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related fieldExpe • rience8+ years of hands-on experience building SaaS-based software products and pla, • tforms4+ years of hands-on experience with, • GoLangProven expertise in architecting distributed systems, microservices, and event-driven pla, • tformsExperience building scalable, high-performance SaaS applic ations Technical SkillsProgramming La • nguagesStrong expert, • ise in, • :GoLangJava (pre, • ferred)Python (plus)Distributed Systems & Me • ssagingStrong experienc, • e wit, • h:K, • afka, • JMSNATSDeep understanding of event-driven and real-time archit ecturesCloud & Infrast • ructureHands-on experienc, • e w, • ith:A, • WSA, • zureGCPExperience designing secure, scalable, and cost-efficient cloud archit ecturesDatabases & • StorageStrong experienc, • e wit, • h:MySQLRedis / Me, • mcachedKnowledge of NoSQL and distributed storage systems is a plusDevOps & Platform Engi • neeringStrong understand, • ing of:CI/CD pi, • peline, • sDockerKub, • ernetesExperience with automation, orchestration, and infrastructure scal abilitySecurity & Reli • abilityStrong understand, • ing of:Secure coding pr, • acticesVulnerability mit, • igationCompliance st, • andardsExperience bu, • ilding:Self-healing, • systemsFault-tolerant archit, • ecturesHigh-availability pl atformsPreferred • TraitsExcellent problem-solving and system design, • skillsStrong logical thinking and architectural decision-making ab, • ilitiesPassion for scalable distributed systems and AI-driven appli, • cationsStrong understanding of product lifecycle management and software delivery pr, • ocessesAbility to thrive in a fast-paced startup envi ronmentWhy J • oin Us?Work on cutting-edge Generative AI and large-scale distributed, • systemsBuild next-generation data observability and orchestration pl, • atformsBe part of a fast-growing startup shaping the future of AI-powered appli, • cationsContribute to systems processing massive-scale real-time data wo, • rkloadsCollaborate with highly skilled engineers and architects solving complex technical cha llenges

Company Overview Berkshire Hathaway companies power some of the most critical systems in North America—spanning transportation, energy, logistics, manufacturing, retail, and infrastructure. At BRK Tech, we partner across these businesses to build modern, scalable technology platforms that drive real‑world, long‑term impact. One of our Berkshire Hathaway portfolio companies is hiring an IT Advisor – Intelex & HSE Application Enablement to serve as the senior subject matter expert and strategic advisor for Environment, Health, Safety, Sustainability, and Quality (HESS/Q) digital platforms. Role Summary This role owns the Intelex ecosystem end‑to‑end, providing technical leadership, system governance, and solution design to ensure HSE technologies are scalable, secure, and aligned with enterprise risk, compliance, and operational excellence objectives. The ideal candidate brings deep Intelex expertise, strong technical acumen, and the ability to partner effectively with both technical and business stakeholders to drive adoption, data quality, and continuous improvement. Key Responsibilities Intelex Platform Ownership & Architecture • Serve as the functional and technical owner of the Intelex platform across modules such as Incident Management, Audits, Quality, Training, and Document Control, • Design and manage end‑to‑end platform configuration, workflows, forms, dashboards, reporting, security roles, and data structures, • Establish governance standards, best practices, and documentation to ensure scalability, integrity, and audit readiness, • Lead advanced troubleshooting, root cause analysis, and vendor escalations to resolve complex platform issues Integration & Data Enablement • Design and support integrations between Intelex and enterprise systems (ERP, HRIS, data warehouses, and analytics platforms), • Leverage Intelex integration capabilities and enterprise data standards to ensure reliable, secure data exchange, • Enable reporting, KPIs, and dashboards aligned to enterprise risk, compliance, and performance objectives Strategic Advisory, User Enablement & Change Leadership • Act as the primary point of escalation and trusted advisor for HSE application users, • Provide expert guidance on system functionality, analytics, and data quality, • Develop advanced user documentation, training materials, and knowledge resources to drive adoption and self‑service, • Provide consultative insights to leadership through dashboards, metrics, and reporting Projects, Enhancements & Continuous Improvement • Lead and support system implementations, module deployments, upgrades, and major enhancements, • Coordinate planning, testing (UAT), and rollout execution, • Partner with cross‑functional teams on change management, communications, and adoption strategies, • Contribute to long‑term HSE digital strategy, roadmap development, and continuous improvement initiatives, • Support enterprise‑wide collaboration and standardized HSE processes Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience, • 5+ years of hands‑on Intelex platform experience, • Experience supporting EHSQ / HESS digital platforms, • Strong ability to communicate effectively with both technical and non‑technical stakeholders Preferred Technical Skills • JavaScript (front‑end customization and API integration), • C# (backend development and API interactions), • Python (automation and data processing), • SQL / PL‑SQL (database queries and reporting), • JSON (API responses and data formatting) At this time, this portfolio company will not sponsor a new applicant for employment authorization for this position.

FleetPride is seeking a highly analytical, curious, and results-driven marketing data scientist to join our marketing team. In this role, you will help shape marketing and commercial strategy through advanced analytics, machine learning, experimentation, and modern AI-enabled tools. A critical focus of this position is solving the "Online-to-Offline" puzzle by developing sophisticated models to connect digital engagement with physical outcomes across our national network of retail branches and service centers. You will work across a wide range of initiatives, including customer acquisition, retention, segmentation, promotion optimization, forecasting, and marketing effectiveness. The ideal candidate brings strong statistical and technical skills, a practical business mindset, and the ability to translate complex data into actionable recommendations. This role will also help advance FleetPride’s use of modern data science capabilities, including cloud-based modeling, ML workflows, generative AI tools, and privacy-aware measurement. This role focuses on measurement, experimentation, and analytical decision partnership rather than day-to-day media buying or primary ownership of marketing-platform administration. Responsibilities • Experimentation & Measurement: Lead test design and analysis, including A/B testing, market selection, incrementality testing, media mix modeling, holdout design, and final readouts to measure business impact., • Business Partnership: Collaborate closely with marketing, ecommerce, and other digital business stakeholders to solve problems, identify opportunities, and drive data-informed decisions., • Reporting and Analytics: Establish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV, unit economics and contribution metrics across both customer acquisition and retention., • Data & Platform Integration: Partner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/BigQuery and advertising platforms for analysis, measurement, and decision-making., • Predictive & Analytical Modeling: Develop and adapt predictive, statistical, and optimization models to support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance., • AI & Advanced Analytics: Apply modern AI and machine learning techniques, including LLM and generative AI tools where appropriate, to improve analysis, workflow efficiency, insight generation, and decision support., • Data Science Execution: Execute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions., • Insight Communication: Communicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations. Qualifications & experience • 3+ years of relevant professional experience applying advanced analytics or data science to business problems with measurable impact., • Strong knowledge of statistical methods, hypothesis testing, regression analysis, causal inference, forecasting, and experimental design., • Demonstrated ability to independently scope, prioritize, and deliver analytical work with limited day-to-day technical oversight., • Hands-on experience working with large, complex datasets and building predictive models in cloud or distributed computing environments., • Proficiency in Python and SQL for data analysis, modeling, and workflow development., • Experience with cloud-hosted data platforms such as Google Cloud Platform, AWS, or similar environments., • Familiarity with marketing analytics, customer behavior analysis, campaign measurement, customer segmentation, and customer lifecycle concepts., • Comfort collaborating with IT on tracking and data pipelines, including server-side tracking, conversion APIs, and Online-to-Offline measurement., • Experience translating ambiguous business questions into structured analytical plans and practical solutions., • Proven ability to quickly learn and leverage emerging marketing technologies, particularly AI-based measurement and optimization models., • Strong communication skills, with the ability to work cross-functionally and explain technical concepts to business stakeholders., • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field; advanced degree preferred. PREFERRED QUALIFICATIONS • Experience supporting ecommerce, retail, distribution, or other customer-focused commercial organizations., • Experience with marketing measurement, attribution, incrementality testing, media optimization, or promotion analytics., • Experience measuring marketing impact across both digital and offline outcomes, including branch visits, phone calls, and offline revenue., • Experience building reusable analytical workflows and collaborating IT to operationalize high-value outputs., • Familiarity with web tracking, digital analytics, and modern measurement frameworks such as GA4, conversion APIs, or privacy-aware analytics environments., • Experience with AI tools and/or machine learning systems in real-world business settings., • Knowledge of data visualization and BI platforms such as Power BI, Looker, or similar tools. About FleetPride FleetPride is the nation's largest distributor of truck and trailer parts and service in the independent heavy duty aftermarket. Our network includes retail, service, distribution, and wholesale divisions, all working together to deliver unmatched value to our customers.

About Incedo: Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast growing clients worldwide, we work across banking & payments, wealth management, telecom, hitech and life sciences. Please visit the link to know about Incedo: https://www.incedoinc.com/ Full-Stack AI Engineer Location: Dallas, TX or Tampa, FL or Basking Ridge, NJ MUST-HAVES ---------- • 4 years of professional software development experience across frontend and backend., • Proficiency in React, Python, and Node.js., • 2 years hands-on experience with a graph database (Spanner Graph, Neo4j, or similar) including schema design and query writing., • Strong experience with Google Cloud Platform (GCP) - Vertex AI, Cloud Run, BigQuery, Pub/Sub, Load Balancer and GCS., • Comfortable with Elasticsearch for full-text and hybrid search, including index design, mappings, and query DSL., • Comfortable with SQL (BigQuery / Cloud SQL) and working knowledge of vector databases (Vertex AI Vector Search, pgvector, Pinecone, etc.)., • Solid grasp of RAG architectures: chunking, embedding, vector search, reranking, deduplication and retrieval evaluation., • Experience consuming LLM APIs (function calling, streaming, structured outputs) - Vertex AI / Gemini or Anthropic / OpenAI., • Understanding of Graph RAG concepts - using graph structure to augment LLM context, with at least one implementation productionized., • Hands-on experience building agentic workflows with LangGraph - state machines, multi-agent graphs, tool nodes, and human-in-the-loop patterns., • Experience using Galileo for LLM evaluation, hallucination detection, and RAG quality monitoring. NICE-TO-HAVES ------------- • Experience with Spanner Graph, LlamaIndex Property Graph, or similar graph-native RAG frameworks., • Familiarity with entity extraction and NLP pipelines for automated graph population (spaCy, Gliner, etc.)., • Exposure to graph algorithms: PageRank, community detection, shortest path, centrality measures., • Background in ontology or knowledge management work., • Familiarity with GCP pipelines, • Experience with LangChain / LangGraph. TECH STACK ---------- Fullstack: React , TypeScript, Python, Node.js, FastAPI, PostgreSQL / Cloud SQL, Docker, Cloud Run Graph & Data: Spanner Graph, Neo4j, Cypher, Memgraph, pgvector, Pinecone, Vertex AI Vector Search, Elasticsearch AI & Retrieval: Vertex AI / Gemini, Anthropic / OpenAI APIs, LangGraph, LangChain. Evaluation & Observability: Galileo, Google Cloud Logging, Cloud Monitoring Cloud: Google Cloud Platform (GCP) - Vertex AI, BigQuery, GCS, Cloud Run

Senior Network Engineering Manager (Hands-on exp with Arista Networks platforms) Dallas, TX 75243 (5 Days Onsite Role) Full-Time Permanent Role (USC / GC) About the Role As the leader of the Network Engineering team, you will play a pivotal role in shaping and executing our data center and enterprise transformation strategy. In this position, you will lead a team of senior engineers responsible for designing, implementing, and managing the strategy for all components of our enterprise and data center networks. We are seeking a dynamic leader with: • Deep technical expertise in network engineering and architecture., • Proven strategic thinking to align technology initiatives with business objectives., • Strong leadership skills to inspire and guide a high-performing team., • Passion for driving results and delivering innovative solutions. This is a highly visible role that requires both hands-on technical knowledge and the ability to influence and execute long-term transformation initiatives across the organization. Key Responsibilities: • Lead and mentor a team of senior network engineers, fostering a culture of collaboration, innovation, and continuous improvement., • Develop and execute the enterprise and data center network strategy aligned with organizational goals and transformation initiatives., • Architect and oversee the design, implementation, and optimization of network infrastructure to ensure scalability, security, and high availability., • Drive modernization efforts, including migration to next-generation technologies and cloud integration., • Collaborate cross-functionally with IT, security, and business stakeholders to deliver integrated solutions., • Manage vendor relationships and evaluate emerging technologies to maintain a competitive edge., • Ensure compliance with regulatory requirements and internal security policies., • Champion innovation by identifying opportunities to enhance network efficiency and resilience. Minimum Qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, or related field., • 8+ years of experience in network engineering, with at least 3 years in a leadership or management role. Preferred Qualifications: • Deep expertise in data center networking technologies, including spine-leaf architectures, VXLAN, EVPN, and SDN., • Comprehensive understanding of network security principles, including:, • Network segmentation and microsegmentation strategies., • Zero Trust architectures and secure access controls., • Integration of security policies into network design., • Experience with critical network systems and services, such as:, • DNS/DHCP/IPAM platforms (e.g., Infoblox)., • Load balancers (e.g., F5, Citrix, or equivalent)., • Network monitoring and performance tools., • Excellent leadership and communication skills, with the ability to influence stakeholders and drive strategic initiatives., • Familiarity with cloud connectivity (AWS, Azure, GCP) and hybrid architectures., • Hands-on experience with Arista Networks platforms, including EOS, CloudVision, and automation frameworks., • Strong knowledge of next-generation networking technologies, such as:, • Network automation and orchestration (Python, Ansible, Terraform)., • Software-defined networking (SDN) and network virtualization., • High-performance routing and switching for large-scale environments., • Industry certifications such as CCNP/CCIE, Arista ACE, or equivalent.

Position Summary: We are seeking an experienced and detail-oriented Senior Data Migration Specialist to lead and execute complex data migration projects. In this role, you will be responsible for transitioning file shares, SharePoint environments, and OneDrive data to modern cloud infrastructures. Utilizing a wave-based approach and industry-leading tooling, you will ensure seamless, secure, and fully compliant cutovers. The ideal candidate will have 6 to 9 years of experience in data migration, strong scripting abilities, and a proven track record of maintaining data integrity throughout the migration lifecycle. Responsibilities: • Migration Execution: Lead and execute the migration of legacy file shares, SharePoint (on-premises and online), and OneDrive environments using a structured, wave-based approach., • Tooling & Automation: Utilize enterprise migration platforms (specifically Quest Migration) and develop custom scripts to automate data transfer, synchronization, and reporting processes., • Validation & Integrity: Perform rigorous pre- and post-migration data validation to ensure all files, permissions, and metadata are accurately transferred without data loss., • Delta Sync Management: Plan and execute delta syncs to capture changes made during the migration window, minimizing business disruption and downtime. Remediation & Troubleshooting: Proactively identify migration errors or bottlenecks, performing necessary remediation and troubleshooting to ensure a clean, fully compliant cutover. • Stakeholder Collaboration: Work closely with IT teams, project managers, and business stakeholders to schedule migration waves, communicate progress, and ensure a smooth transition for end-users., • Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment. Qualifications: • Experience: 6 to 9 years of hands-on experience in IT infrastructure, cloud engineering, or systems administration with a heavy focus on enterprise data migrations., • Platform Expertise: Deep technical knowledge of SharePoint Online, OneDrive, and complex legacy File Share environments., • Migration Tools: Proven experience utilizing Quest Migration tools (or equivalent enterprise-grade migration software)., • Data Validation: Strong background in data validation methodologies, ensuring security, compliance, and structural integrity of migrated data., • Scripting: Proficiency in Scripting (e.g., PowerShell, Python) to automate administrative tasks, map permissions, and streamline the migration process., • Problem Solving: Exceptional analytical skills with the ability to swiftly remediate sync failures and cutover anomalies., • Experience working in large-scale, enterprise-level environments., • Strong understanding of data compliance and governance standards during cloud transitions., • Excellent written and verbal communication skills to articulate technical challenges to non-technical stakeholders., • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field required. Alternatively, candidates with at least 10 years of relevant desktop administration experience and Microsoft certifications will also be considered.

We are seeking a highly technical Technical Analyst to support mobile application monitoring, analytics, and platform engineering initiatives. This role sits at the intersection of native mobile development, observability, and automation, and will play a key role in scaling monitoring capabilities across a large enterprise environment. This individual will act as a subject matter expert for mobile applications, while contributing to tooling, integrations, and automation to improve operational efficiency and visibility. Key Responsibilities Mobile Application Support • Serve as a technical resource for iOS and Android applications, • Support SDK integrations and provide implementation guidance, • Partner with engineering teams to troubleshoot issues and analyze app behavior, • Assist with event tracking, validation, and data capture, • Support onboarding and ensure application stability and performance, • Contribute to incident analysis using monitoring tools Engineering, Automation & Tooling • Build automation scripts and internal tools to reduce manual effort, • Develop and maintain API integrations across systems, • Support dashboard development for application performance visibility, • Enable self-service capabilities through tooling and automation Platform Implementation • Support rollout of monitoring solutions across applications, • Assist with JavaScript tagging and front-end implementations, • Work across native, web, and hybrid environments Innovation & Improvement • Contribute to prototyping and new solution development, • Leverage AI-assisted tools to improve workflows, • Collaborate to enhance team capabilities Required Qualifications • 3–5 years in mobile development or platform engineering, • Experience with iOS (Swift/SwiftUI) or Android (Kotlin), • Strong understanding of mobile architecture, SDK integrations, and performance troubleshooting, • Experience with scripting/automation (Python, shell), • Experience with REST APIs, JSON, and data handling, • Strong troubleshooting and communication skills Preferred • Experience with monitoring/analytics tools, • Familiarity with dashboards and visualization tools, • Exposure to hybrid mobile apps, • Experience in enterprise or regulated environments, • Familiarity with CI/CD and developer workflows

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025. Security Advisory: Beware of Frauds Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @loloirugs.com email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates. We are building a Business Operations Center of Excellence, and we need a Jr. Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer. Responsibilities • Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience., • Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems., • Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions., • API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug., • Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter")., • Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it. What You Will NOT Do (The Boundaries) • No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate., • No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale., • No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database. Intersection with Technical Teams • With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints)., • With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error. Experience, Skills, & Ability Requirements • 1-3+ years of experience in Data Management, PIM Administration, or technical eCommerce Operations., • SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator., • API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys., • Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts., • You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again., • You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business. Bonus Points (Nice-to-Haves) • Familiarity with Visio/Lucidchart to visualize data flows., • Ability to build simple dashboards in Tableau to track data health scores., • Basic familiarity with Python or R for data manipulation. What We Offer • Health, dental, and vision benefits, • Paid parental leave, • 401(k) with employer match, • A culture of meritocracy that fosters ongoing growth opportunities, • A stable, growing family-owned company that looks after its employees Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

Job Summary The Senior Risk Analyst: Lending & Card Services supports credit and fraud risk management across Populus Financial Group’s card services and consumer lending portfolios. This role focuses on model monitoring, underwriting policy execution, and portfolio analytics, partnering with senior risk leadership to deliver data-driven insights and support sound risk decisions. This is a hands-on analytical role. The ideal candidate is analytically driven, detail-oriented, and curious, with strong data skills and an eagerness to learn in a fast-paced environment. Major Responsibilities • Monitor credit and fraud model performance across lending and card services portfolios, including approval rates, losses, fraud outcomes, and stability metrics., • Execute ongoing model monitoring and reporting, identifying performance shifts, emerging risks, and trends requiring escalation., • Support credit policy and underwriting model initiatives, including rule testing, feature analysis, validation, and performance monitoring., • Perform ad-hoc analytics to identify emerging risk trends, segment performance, and opportunities to improve predictive accuracy., • Analyze lending portfolio performance, including delinquency migration, loss trends, and origination quality., • Support card services risk analytics related to prepaid, DDA, ACH, transactions, KYC, and fraud activity., • Develop and maintain dashboards and recurring reports for key risk indicators (KRIs) and portfolio performance., • Partner with Fraud, Compliance, Product, Marketing, and Data teams to support risk initiatives and ensure aligned execution., • Prepare clear analytical insights and recommendations for senior risk leadership, • Maintain documentation for models, policies, monitoring results, and analytical processes to support governance and audits., • Present analytical findings to the Manager and Director, providing insights that support data-driven decisions. Key Competencies • Analytical and Quantitative Thinking, • Credit Risk and Fraud Risk Fundamentals, • Model Performance Monitoring and Interpretation, • Underwriting Policy and Decision Rule Analysis, • Data Management, Quality, and Accuracy, • Programming and Analytical Tools (SQL, SAS, Python, or R), • Data Visualization and Executive-Ready Reporting, • Collaboration and Cross-Functional Partnership, • Problem Solving and Critical Thinking Interactions Direct Report Title Number Indirect Report Title Number Other Internal/External Interactions Minimum Qualifications • Bachelor’s degree in a quantitative or business-related field., • 3–5 years of experience in risk analytics, credit risk, fraud analytics, lending, or payments., • Strong proficiency in SQL and at least one of the following: SAS, Python, or R (required)., • Hands-on experience supporting model monitoring, underwriting policy, or risk decision rules in a production environment., • Experience with BI tools such as Tableau or Power BI., • Strong analytical, communication, and problem-solving skills., • Ability to work with large datasets and synthesize findings into actionable insights., • Strong communication and presentation skills, with the ability to explain complex data clearly., • Demonstrated curiosity and initiative to identify trends, patterns, and improvement opportunities. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major responsibilities. While performing the duties of this job, the employee is regularly required to sit, stand or walk; use hands to finger, handle, or feel; reach with hands and arms; stoop or bend; and talk or hear. The employee must occasionally lift and/or move up to 50 lbs. Must have appropriate vision to see up close, and at a distance with ability to adjust vision and focus. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. This position might require long hours and weekend work. Travel Minimal travel required. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in some work environments can be moderate. Disclaimer The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted, as a comprehensive inventory of all duties, responsibilities, qualifications required of employees assigned to this job. EEO Statement Populus Financial Group is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. In compliance with applicable law, Populus Financial Group does not discriminate against any applicant or employee on the basis of race, color, religion, creed, sex, sexual orientation, gender (including gender nonconformity and status as a transgender or transsexual individual), national origin or ancestry, ethnicity, age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, pregnancy status, or any other protected classification. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotions, discipline, compensation, benefits, and termination of employment.

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Xceptor Developer (Onsite Hybrid) to join our team in Irving, Texas (US-TX), United States (US). Job Responsibilities Include: • Analyze business processes to identify opportunities for automation and design technical specifications for RPA solutions within Xceptor., • Develop and configure automation workflows and Xceptor components to automate tasks and processes., • Work towards subject matter expertise on Xceptor' s configuration capabilities within a limited and pre-set time frame., • Be responsible for all phases of the development process and analysis, design, construction, testing, and implementation as well as provide user and operational support as required., • Deploy RPA solutions, provide ongoing operational and user support, and troubleshoot issues as they arise., • Implement and oversee QA processes to guarantee the high performance, reliability, and quality of automated solutions. Basic Qualifications: • 5+ years of hands-on experience in process automation using Xceptor, • 3+ Years of hands-on experience in programming languages at least one language like Java, Ruby, .Net etc, • 2+ Years of Experience in designing technical specification documents for RPA Projects. Preferred Skills: • Hands on experience in programming languages at least one language like Java, Ruby .Net etc, • Hands on experience in one of the scripting languages like Python, • Hands-on experience in one of the scripting languages like Python, • Experience in working with agile models and related ceremonies, • Experience in designing, developing and maintaining ETL processes uses SSIS or equivalent tools., • Proficiency in data extraction, transformation, and loading from various sources to different target environments., • Experience with Xceptor 4.6 or higher, including expertise in Input/Output formats, Enrichment, Data Sets, Workflow, Match Rules, Message Hub, IIS, etc., • Experience in working with agile model and related ceremonies, • Proficiency in Microsoft Office applicants, particularly Work and Excel, is required, • Solid background in SQL, including joints, unions, aggregation, etc. #INDFSINS #L1-NorthAmerica About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, _. NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click_.

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Manager, Forensic Technology to join our _ practice. Responsibilities: • Manage and advise clients through the execution of end-to-end dead-box forensic investigations across iOS, MacOS, and Windows platforms to uncover digital evidence, • Consult with clients on complex matters involving employee misconduct, intellectual property theft, and data breaches, ensuring secure and defensible outcomes, • Develop proficiency in and utilize industry-standard, command-line Digital Forensics and Incident Response (DFIR) tools and techniques to effectively acquire and analyze data, • Implement and automate customized forensic workflows and data processing scripts utilizing Python, Rust, C++, C#, or Java to streamline client deliverables, • Supervise team members and manage expectations of stakeholders to synthesize complex technical findings into clear, outcome-focused reports, both internally and externally, • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: • Minimum five years of recent, relevant experience in digital forensics or incident response, • Bachelor's degree in computer science, engineering, digital forensics, or equivalent from an accredited college or university is required; relevant training or certifications in the field, such as GIAC (GIME, GCFE, GCFA, GASF), IACIS (CFCE), Magnet (MCME), 13Cubed (IME Gold, ILD Gold), Cellebrite (CCME, CAAF, CAFF, CAIF), or Hexordia (HMAC), • Experience conducting iOS, MacOS, and Windows dead box forensic investigations, including employee, IP theft, and data breach investigations, • Experience utilizing industry-standard command-line DFIR tools and techniques, • Experience with scripting, Artificial Intelligence (AI), and software engineering principles with a focus on designing and implementing automated solutions to optimize eDiscovery and forensic processes, • Programming experience with at least one of the following languages: Python, Rust, C++, C#, or Java, • Ability to travel as needed, • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at _. Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $103265 - $206540 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Specialist, SOC to join our _ practice. Responsibilities: • Monitor security alerts, events, and incidents in real-time using Security Information and Event Management (SIEM) and other security tools, and perform initial triage of security alerts by assessing severity, relevance, and urgency to determine the appropriate response, • Investigate security incidents, identify potential root causes, perform remediation actions, assist in developing mitigation strategies, and follow playbooks and reference guides during case triage and incident investigations, • Analyze network traffic, system logs, and other data sources to identify patterns and anomalies indicative of security threats, and review and report on the efficacy of security monitoring tools to ensure optimal performance and effectiveness, • Create detailed incident reports, maintain accurate records of security incidents and their resolutions, and assist in preparing reports on security incidents, trends, and operational metrics ensuring transparency and actionable insights, • Collaborate with cross-functional teams, including incident responders and system administrators, to contain and remediate security incidents, and communicate effectively with clients and stakeholders by providing timely updates on incident status and remediation progress, • Stay informed of emerging cybersecurity threats, vulnerabilities, and industry best practices through threat intelligence sources and research, and assist in the development and implementation of security procedures and best practices while participating in ongoing security awareness and technical security training, • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: • Minimum one year of recent experience in a relevant field, with a strong interest in cybersecurity, and a basic understanding of cybersecurity principles, technologies, and network defense concepts., • Bachelor's degree in computer science, information technology, cybersecurity, management information systems, or a related field is required, • Familiarity with IT Security frameworks (such as MITRE, Cyber Kill Chain) is preferred, along with strong analytical and critical thinking skills and keen attention to detail, • Keen sense of ownership and accountability with an eagerness to learn, and ability to quickly learn security products, tools, and processes to maintain the team's proficiency, • Preferred experience with SIEM tools (such as Microsoft Sentinel, IBM QRadar, LogRhythm), basic knowledge of data analysis/visualization tools (e.g., Excel, Tableau, Power BI, SQL), relevant certifications such as CompTIA Security+, CySA+, or equivalent, and familiarity with Python or any scripting language., • Excellent verbal and written communication skills with the ability to articulate technical information clearly, and the ability to work effectively in a global team environment and drive results in a matrixed organization, • Travel may be required based on business needs, • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at _. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description Lead SCADA / HMI Systems Integrator – Ignition HMI/SCADA A growing engineering and technology solutions firm is seeking an experienced SCADA / HMI Systems Integrator to join its expanding automation team supporting mission-critical, real-time industrial operations. This role will focus on designing, configuring, commissioning, and supporting advanced HMI/SCADA and data management systems for a wide range of industrial and infrastructure clients. The ideal candidate will bring strong hands-on technical experience, a customer-focused mindset, and the ability to troubleshoot and optimize complex operational systems. This position offers the opportunity to work on high-impact projects involving industrial automation, analytics, and operational technology infrastructure. Key Responsibilities • Design, configure, install, and commission HMI/SCADA systems and related industrial automation platforms, • Support real-time operational systems, data historians, reporting tools, and analytics platforms, • Develop intuitive operator interfaces and dashboards for complex industrial processes, • Troubleshoot communications, control systems, and industrial protocols including Modbus and BACnet, • Configure and support OPC-DA and OPC-UA integrations, • Assist customers with system optimization, troubleshooting, and ongoing technical support, • Work with SQL databases and modern data management technologies, • Read and interpret electrical one-line diagrams and support electrical distribution-related projects, • Document system configurations, troubleshooting procedures, and project activities, • Travel to customer locations as needed for field support, commissioning, and system implementationRequired Qualifications, • 3–5+ years of hands-on experience with Ignition SCADA by Inductive Automation, • Strong understanding of industrial instrumentation, controls, and real-time operational systems, • Experience designing and implementing HMI applications and operator interfaces, • Knowledge of OPC technologies, industrial communications, and control system troubleshooting, • Experience supporting server hardware and mission-critical applications, • Working knowledge of SQL and database platforms, • Strong troubleshooting, analytical, and problem-solving skills, • Ability to work independently and manage projects from start to finish, • Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical users, • Ability to travel as required to support customer projects, • Authorization to work in the United StatesPreferred Experience, • Experience supporting industries such as power generation, utilities, manufacturing, facilities, or data centers, • Familiarity with industrial historian platforms such as AVEVA/OSIsoft PI, Wonderware, GE, InfluxDB, Timescale, or similar technologies, • Experience with time-series data analytics, machine learning applications, or real-time data analysis, • Programming or scripting experience with Python, JavaScript, C#, or similar languagesCompany Overview This established engineering and technology organization provides industrial automation, electrical engineering, and operational technology solutions to clients ranging from mid-sized businesses to Fortune 500 companies. The company offers a collaborative environment focused on innovation, operational excellence, and long-term employee growth. Competitive compensation, strong benefits, retirement programs, bonus opportunities, and flexible work arrangements may be available based on experience and project responsibilities. To apply, please send resumes to Patrick DelGaone #Controls #Midsenior #LI-hybrid #Engineering Company DescriptionLibertyjobs.com has become an essential destination site for experienced job seekers. Our recruiters are continually posting active job openings to the website. Feel free to search our database of open positions and apply for your next career move! Hundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month. Established in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on: Information Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists.Libertyjobs.com has become an essential destination site for experienced job seekers. Our recruiters are continually posting active job openings to the website. Feel free to search our database of open positions and apply for your next career move!\n\nHundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month.\n\nEstablished in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on:\n\nInformation Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists.

Job Description Data Engineer (AI & Cloud Platforms) We are seeking a Data Engineer to support the design, development, and optimization of modern data platforms across cloud and AI-driven environments. This role will work across internal and client-facing initiatives, building scalable data pipelines, supporting machine learning workflows, and enabling high-performance analytics solutions. Position is hybrid in DFW area. Responsibilities • Design, build, and optimize scalable data pipelines, ETL/ELT workflows, and cloud-based data platforms (data lakes, warehouses, lakehouses), • Support AI/ML integration by building feature pipelines, enabling model workflows, and integrating tools such as LLMs or vector databases, • Develop and maintain cloud infrastructure (AWS, Azure, or GCP) including services like S3, Glue, Athena, and Redshift, • Implement orchestration and automation using tools like Airflow or Prefect, along with infrastructure-as-code (Terraform, dbt), • Collaborate with cross-functional teams and stakeholders to translate business requirements into technical data solutions Qualifications • 5+ years of experience in data engineering or related roles with strong hands-on expertise in Python and SQL, • Experience building and managing data pipelines, warehouses, and modern data platforms (Snowflake, Databricks, BigQuery, etc.), • Hands-on experience with AWS and cloud-based data services, along with orchestration and IaC tools, • Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred, • Strong communication skills with the ability to work in client-facing or consulting environments ------------------------------------------------------------------ This job is Hybrid Remote. We offer several comprehensive benefits package including health and life insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees. Download the Sparks Group mobile app from Apple App Store or Google Play. ------------------------------------------------------------------ Sparks Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protect veteran status.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Open-minded and collaborative team player with willingness to help others.- Solid understanding of computing fundamentals, including code efficiency.- Experience in deep learning frameworks such as PyTorch.- Proficiency in Python, Rust, C++ and/or CUDA. Bonus/nice to have:- Experience deploying ML/DL models to a production motion planning or related robotics stack.- Experience in iterating on a model including evaluation, introspection and fine-tuning.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking a Structural Analyst to support the structural analysis and testing of advanced UAVs. In this role, you will work closely with Mechanical, Systems, Propulsion, and Aerospace Engineers to ensure the structural integrity of our lightweight, high-performance aircraft. You will contribute to the design, analysis, testing, and optimization of airframe structures and components, ensuring they meet performance, weight, and safety requirements. This role is ideal for engineers with 5+ years of experience looking to gain expertise in finite element analysis (FEA), composite materials, mechanical testing, and aircraft loads analysis in a fast-paced, high-tech aerospace environment.What you'll do: • Assist in building and refining finite element models (FEM) to evaluate the structural performance of UAV components., • Perform static, modal, fatigue, and vibration analyses to assess stress, deformation, and durability., • Conduct hand calculations to validate FEA results, ensuring accuracy and structural reliability., • Work with design engineers to optimize airframe structures, balancing weight, strength, and manufacturability., • Support the development of test plans for structural validation, including quasi-static, vibration, and shock testing., • Analyze flight telemetry and structural test data to improve modeling accuracy and correlate predictions with real-world performance., • Assist in defining load cases, material properties, and design margins for UAV airframe and mechanical components., • Document and present structural analysis reports and technical recommendations to engineering teams., • Collaborate with cross-functional teams to ensure structural requirements align with system performance goals., • Contribute to the continuous improvement of structural analysis methodologies, tools, and best practices.Required qualifications:, • B.S. in Mechanical Engineering, Aerospace Engineering, or related field., • 5+ years of experience in structural analysis, finite element modeling, or aircraft loads analysis., • Experience with FEA tools (ANSYS, NASTRAN, HyperWorks, or similar)., • Strong ability to perform hand calculations for structural strength, stability, and fatigue analysis., • Knowledge of composite materials and lightweight aerospace structures., • Familiarity with mechanical testing methods (static, vibration, and fatigue)., • Proficiency with data analysis tools (Excel, MATLAB, Python, or similar)., • Strong problem-solving skills, attention to detail, and ability to work in a team environment., • Ability to get a S//SAR level security clearance desired.Preferred qualifications:, • Master’s degree in Mechanical or Aerospace Engineering., • Experience in aircraft structural design, UAV airframe development, or aerospace testing., • Hands-on experience with structural testing, modal analysis, or composite modeling., • Exposure to CAD software (NX, SolidWorks) and PLM tools (Teamcenter or similar)., • Understanding of aerospace industry standards, structural certification processes, and material selection.#LI-MS1#LC Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Flight Sciences team at Shield AI integrates stability & control, aerodynamics, performance, and aero-propulsion to redefine the limits of unmanned aviation. As a member of this team, you will bridge the gap between theoretical design and flight testing. We aren't just analyzing data; we are building the future of autonomous flight. If you thrive in high-tempo, collaborative environments where your work moves quickly from concept to reality, we want you on our team.What you'll do: • Drive Wind Tunnel Testing: Play a key role in supporting an aggressive wind tunnel test campaign by defining requirements, overseeing model fabrication, and developing run plans that yield actionable aerodynamic insights., • Develop High-Fidelity Models: Synthesize wind tunnel and numerical data into comprehensive aerodynamic models (including propulsion, hinge moment, and flexibility effects) used across the enterprise for mission-critical simulation and analysis., • Enable Safe Separation: Develop the specialized tools and methodologies required for internal and external stores separation analysis., • Integrate Air Data Systems: Partner with cross-disciplinary teams to define sensor locations, system architecture and calibration algorithms that meet accuracy and redundancy requirements, • Create System Level Solutions: Solve multifaceted design challenges by collaborating with structures, avionics, and propulsion teams to create highly optimized, balanced solutions.Required qualifications:, • Education: B.S. in Aerospace or Mechanical Engineering (or equivalent technical field)., • Core Expertise: 3+ years of experience in Stability & Control, with a mastery of aerodynamics, 6DOF model development, and flying qualities analysis., • Testing Background: Proven experience in wind tunnel testing and translating experimental data into simulation environments., • Character: A demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to a high standard, and being kind to others.Preferred qualifications:, • Computational Efficiency: Proficiency in developing custom software or scripting (e.g., MATLAB, Python) to automate workflows and maximize team throughput., • Advanced Control Systems: Experience with optimization of aircraft planforms and control suite which provide adequate stability and maneuverability, particularly for tailless aircraft or non-traditional configurations., • Propulsion Integration: Expertise in the unique stability and control challenges associated with high-performance aero-propulsion integration., • Problem Solving: A proven ability to take on complex, ill-defined assignments and deliver creative, "best-value" engineering solutions.#LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. What You'll Do: • Generate detailed mission test scenarios that mimic real-world conditions to validate the performance of autonomy and flight control software., • Participate in design reviews for new features and design detailed test plans based on their requirements, • Conduct and manage system verification and validation events, culminating in verified flight readiness., • Write test analyzers in Python to report and benchmark performance and qualification metrics of the system, • Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements, • Recommend improvements to our simulation models and fault injection so that we can keep pushing the capabilities of our test suite before proceeding to flightRequired Qualifications:, • 5+ years of work experience in testing complex integrated software systems, • Demonstrated expertise & experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing, • Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems, • Great understanding of system architecture, requirement derivation, and test planning across the V-model, • Experience with automating test cases in an existing test framework, • Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures, • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment, • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field Preferred Qualifications:, • Experience with autonomous or robotic systems, • Experience with simulation software and hardware emulation, • Background in a fast-paced, R&D or startup environment, • Proficiency in build test automation, • Proficiency in Python or C++Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity: As a Capital Credit Senior Associate, Underwriting and Portfolio Management, you will play a pivotal role in Flexport Capital's portfolio management strategy. This is a hybrid role sitting at the intersection of hands-on credit stewardship and data-driven innovation. You won't just analyze high-level trends; you will actively manage the monthly financial review process, lead diligence on flagged accounts, and own the operational compliance stack. You will be the first line of defense in monitoring portfolio health while simultaneously building the tools and dashboards that make that monitoring scalable. You Will: • Lead Portfolio Reviews & Diligence: Manage the monthly financial review process for the entire customer base. You will direct Associate support for data gathering, but you will be responsible for the analysis, knowing exactly what red flags to look for in financial statements., • Conduct Active Risk Management: Identify deteriorating credits or anomalies and immediately trigger deeper reviews. You will prepare for and lead diligence calls with borrowers to investigate issues and determine necessary actions., • Prepare Credit Modifications: Evaluate requests from Business Development for line increases, term adjustments, or other modifications. You will be responsible for writing the loan modification templates/memos and providing the credit diligence and justification for your recommendations., • Own Compliance & Operations: oversee and improve our KYB/KYC, UCC lien filing, and lien management processes. You will ensure strict compliance and proactively suggest new vendors, products, or process improvements to streamline operations., • Build & Maintain Analytics: Design portfolio monitoring dashboards that aggregate credit, collateral, and operational data. You will continue to use tools (SQL, Python, Looker) to automate data ingestion and anomaly detection., • Analyze Trends: Monitor borrower and portfolio trends—including CRR migration, LGD, DSO, and exposure concentration—to inform repricing or mitigation strategies., • Drive Process Improvement: Continuously improve internal reporting and data quality, ensuring our tools serve as a reliable "single pane of glass" for portfolio risk visibility. You will use the available low-code and analytical tools (using SQL, Python, Airtable, Looker, or Power Automate) to automate data ingestion, anomaly detection, and risk flag generation.You Should Have:, • 3–7 years of experience in commercial lending, credit risk, or portfolio management (Asset-Based Lending or Working Capital experience is highly preferred)., • Hands-on Credit Experience: You have experience manually reviewing financial statements, identifying risk factors, and writing credit memos or loan modification justifications. You are comfortable getting on the phone with a CFO to ask hard questions., • Operational Knowledge: Familiarity with the mechanics of lending operations, including KYB/KYC regulations, UCC lien perfection, and compliance management., • Technical Proficiency: Proven experience leveraging data analytics tools (SQL, Power BI, Tableau, Looker) to analyze portfolios., • Low-Code/Automation Skills: Working knowledge of tools like Power Automate, Airtable, or Zapier to build scalable processes is a strong plus., • Communication Skills: Excellent verbal and written communication skills to articulate credit rationale to the Risk Committee and partner effectively with BD and Ops., • Education: Bachelor's degree in Finance, Business, Data Analytics, or a related field (MBA or CFA is a plus).Why Flexport: You'll be joining Flexport Capital, a high-velocity fintech unit operating with the agility of a startup and the data advantage of a global logistics leader. This is a hands-on environment for builders, not just observers. You won't just monitor algorithms, you'll be in the trenches of deal structuring, operational compliance, and borrower diligence, actively shaping how we lend and recover. You will play a direct role in fusing traditional credit discipline with next-gen analytics, driving our mission to scale asset-based lending while keeping losses under 1.5%. If you're ready to roll up your sleeves and own the outcome, you belong here. Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

Job Description Role Overview A financial services organization is seeking a Senior Data Engineer to help design and build a modern risk data platform. This individual will play a key role in transforming risk reporting through scalable data architecture, automated pipelines, and business-focused analytics. This is a 6-month contract engagement with potential for extension. Location: Onsite, Dallas, TX Compensation: Approximately $60/hour +/- What You'll Be Doing • Design and develop scalable database architecture supporting risk analytics and reporting, • Build ETL/ELT pipelines that ingest and process data from trading systems, market data feeds, and internal applications, • Create centralized data models that serve as a trusted source for risk reporting, • Automate manual reporting workflows and improve data quality, auditability, and operational efficiency, • Optimize data processing systems to support large-scale datasets and analytical workloads, • Partner with Risk, Finance, and business stakeholders to translate requirements into technical solutions, • Develop reporting and dashboard capabilities that improve visibility into risk metrics, • Support ongoing data engineering and analytics initiatives as business needs evolve What We're Looking For • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline, • Strong experience with data modeling, database design, and enterprise data architecture, • Advanced Python and SQL skills, • Experience building and supporting cloud-based data platforms, • Experience designing automated reporting and analytics solutions, • Strong analytical and problem-solving skills, • Ability to communicate effectively with both technical and non-technical stakeholders, • Experience within financial services, capital markets, or fintech environments preferred, • Understanding of fixed income products, trading workflows, and risk management concepts preferred Tech Environment • Microsoft Fabric, • Lakehouse, • Warehouse, • Data Factory, • Data Pipelines, • Python, • SQL, • AWS, • GitLab, • Power BI, • Tableau Why This Role Matters This position will help modernize how risk data is collected, processed, and reported. The work will directly support more efficient risk management, improved data quality, and better decision-making across the organization.

Job Description PAY:$140K to $160K Benefits Competitive salary and performance-based incentives Comprehensive medical, dental, and vision coverage 401(k) with company match Paid time off Employee dining discounts Professional development and career growth opportunities Engaging, innovative, and inclusive workplace culture Key Responsibilities Data Strategy & Leadership Own and evolve FB Society’s enterprise data strategy, transforming data into actionable insights that drive performance across the business. Develop and maintain a scalable AWS-based analytics ecosystem. Collaborate with cross-functional leaders in Operations, Finance, Marketing, and Technology to identify KPIs, analytics needs, and data-driven opportunities. Data Architecture & Engineering Oversight Serve as the primary architect and operator for the company’s data warehouse environment in AWS. Manage and enhance data pipelines, transformation logic, and modeling layers using: Amazon Redshift Dbt (data build tool) AWS Lambda Python scripting Additional AWS services such as S3, Glue, Step Functions, and CloudWatch Support and guide one web developer responsible for building and maintaining BI-facing tools and dashboards. Analytics, Reporting & Insights Build and maintain enterprise dashboards using Power BI. Apply advanced analytics to support forecasting, pricing, guest analytics, restaurant performance, and operational efficiency. Conduct data science tasks such as regression, classification, clustering, or predictive modeling when beneficial to the business. Oversee and integrate the Oracle Hyperion accounting data subset that sits atop the data warehouse. Preferred Skills & Experience AWS & Data Engineering Expertise (Required) Deep hands-on experience with the AWS analytics stack, including: Amazon Redshift Dbt AWS Lambda Python scripting S3, Glue, IAM, Step Functions, CloudWatch, or other relevant services Strong understanding of data warehousing, modeling methodologies, and ETL/ELT best practices. BI, Analytics & Tools Proficiency with Power BI including dataset modeling, DAX, and dashboard development. Experience integrating Oracle Hyperion data into BI environments. Past success managing enterprise-scale implementations of POS, CRM, inventory, or related restaurant systems. Exposure to NLP, sentiment analysis, or applied machine learning is a plus. Business & Leadership Skills Strong understanding of restaurant operations, guest analytics, and multi-unit business structures. Demonstrated ability to operate independently in a lean environment. Experience mentoring or directing the work of a small technical team. Join the Crew If you are a hands-on, AWS-focused data leader passionate about building analytics ecosystems from the ground up and transforming insights into business advantage, we invite you to join FB Society as our Director of Business Intelligence & Data. You will play a pivotal role in shaping the future of restaurant analytics and guest experience innovation.

Job Description Netcool Developer - Irving, TX - $65/hr Location: Irving, TX Work Arrangement: Onsite Overview: We're seeking an experienced Netcool Developer to support the integration and modernization of enterprise event management platforms using IBM Netcool Operations Insight (NOI) and IBM Cloud Pak for AIOps. This role will focus on integrating traditional Netcool environments with AI-powered AIOps capabilities to improve operational efficiency, reduce alert noise, automate incident response, and enhance system reliability. The ideal candidate has deep expertise in IBM Netcool technologies, event management, automation, and hybrid cloud operations. Key Responsibilities: Integrate IBM Netcool Operations Insight (NOI) environments with IBM Cloud Pak for AIOps. Support migration of event filters, policies, and automation workflows into AIOps platforms. Configure and maintain bidirectional synchronization of event data between Netcool and AIOps environments. Develop and implement automation policies, runbooks, and remediation workflows. Configure event mapping, transformation rules, and alert processing logic. Support AI-driven event correlation, anomaly detection, and incident management initiatives. Utilize topology management capabilities to improve infrastructure visibility and incident impact analysis. Integrate third-party platforms including ServiceNow, Splunk, Slack, and other enterprise tools. Troubleshoot and resolve complex issues across hybrid cloud and enterprise monitoring environments. Collaborate with DevOps, SRE, infrastructure, and operations teams to improve service reliability. Requirements: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of experience supporting enterprise monitoring and event management platforms. Strong expertise in IBM Netcool Suite. Deep knowledge of Netcool Omnibus and Netcool Impact. Experience with Netcool probes, gateways, and Web GUI. Experience with IBM Cloud Pak for AIOps. Experience integrating event management and monitoring platforms. Knowledge of event correlation, alert management, and incident response processes. Experience with automation development and runbook implementation. Strong troubleshooting and problem-solving skills. Experience working within complex enterprise environments. Preferred Qualifications: Experience with JSONATA transformations. Python scripting experience. Bash scripting experience. Experience with ServiceNow integrations. Experience with Splunk integrations. DevOps or Site Reliability Engineering (SRE) experience. Hybrid cloud infrastructure experience. AIOps platform implementation experience. Compensation & Benefits: Pay Rate: $65/hour Employment Type: Contract Work Arrangement: Onsite Visa Sponsorship: No visa sponsorship available. Relocation Assistance: No relocation assistance available. Benefits may be available based on employment classification. Apply Today: If you have deep IBM Netcool expertise and are passionate about AI-driven operations, automation, and enterprise monitoring solutions, we encourage you to apply today.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will..- Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.- Automate the training, testing and deployment processes for machine learning models.- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.- Ensure compliance with security and data privacy standards in all MLOps activities. Qualifications:- 3-5 years of experience supporting machine learning training platforms.- Bachelor’s degree in Computer Science, Data Science or a related field.- Strong understanding of machine learning principles and model lifecycle management.- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.- Experience managing technology such as JupyterHub and Kubeflow.- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.- Strong problem-solving skills and ability to troubleshoot complex issues.- Experience with monitoring tools and practices for model performance in production.- Ability to work collaboratively in cross-functional teams. Bonus/nice to have: - Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.- Knowledge of big data technologies like Apache Spark or Hadoop.- Familiarity with data engineering practices and tools.- Experience with A/B testing and model validation in production environments.- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSalary: $25-$35 / hour This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions. Key Responsibilities: Data Analysis & Solution Development • Analyze Loopbacks large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas., • Assist in developing reporting tools that help non-technical stakeholders understand the data asset., • Synthesize and communicate analytical findings to team members. Cross-Functional Collaboration & Continuous Improvement • Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features., • Gather and document customer feedback to inform future data product development. Qualifications Required: • Bachelors degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related)., • Exposure to SQL and at least one scripting/statistical language (Python, R)., • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses., • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences., • Comfortable working in a fast-paced, cross-functional team environment. Soft Skills • Data-driven and analytically rigorous, with a focus on delivering client value., • Creative, resourceful, and comfortable with ambiguity., • Strong collaborator who thrives in a team-oriented, rapidly evolving environment., • Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a Manager of Propulsion to lead propulsion test development and execution for the X-BAT vehicle, powered by a fighter-class, afterburning jet engine. This role oversees propulsion test infrastructure, engine testing, subsystem validation, and flight test support activities required to mature propulsion hardware from development through operational readiness. You will lead a team of propulsion test engineers and technicians responsible for designing, building, and operating propulsion test stands and facilities supporting engine, fuel, oil, bleed air, and TVC systems. This role requires strong technical leadership, operational awareness, hands-on involvement in testing activities, and the ability to rapidly solve complex technical problems in demanding test environments. What you'll do: • Lead propulsion test planning and execution from component-level development through flight readiness., • Oversee the design, analysis, and construction of propulsion test stands, fixtures, instrumentation systems, and safety systems., • Support propulsion REs in defining test objectives, instrumentation strategies, and data analysis methodologies., • Guide teams through propulsion thermodynamic analysis, transient characterization, thermal performance evaluation, and operability validation., • Drive root cause investigations and rapid troubleshooting efforts during testing activities., • Coordinate test schedules, facility readiness, staffing, and supplier support., • Ensure propulsion testing aligns with vehicle-level milestones and program priorities., • Lead development of test processes, standards, and operational best practices.Required qualifications:, • Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, or related engineering discipline., • 7-10+ years of experience in propulsion testing or aerospace development programs., • Strong understanding of thermodynamics, fluid mechanics, heat transfer, and aerospace propulsion fundamentals., • Strong understanding of gas turbine engine testing, instrumentation, transient response, and propulsion system integration., • Hands-on experience designing or operating propulsion test stands and facilities., • Experience leading technical teams and coordinating complex test operations., • U.S. Citizenship or ability to comply with ITAR requirements.Preferred qualifications:, • Experience testing fighter-class or low-bypass turbofan propulsion systems., • Familiarity with Python, REFPROP, GFSSP, ANSYS, FEA, or propulsion performance analysis tools., • Experience with controls integration, TVC testing, transient characterization, or operability mapping., • Background in rocket propulsion testing or hot-fire development environments., • Experience operating in hardware-centric, test-driven aerospace organizations., • M.S. or Ph.D. in Aerospace Engineering or related discipline.#LI-MS1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company Overview Berkshire Hathaway companies power some of the most critical systems in North America—spanning transportation, energy, logistics, manufacturing, retail, and infrastructure. At BRK Tech, we partner across these businesses to build modern, scalable technology platforms that drive real‑world, long‑term impact. One of our Berkshire Hathaway portfolio companies is hiring an IT Advisor – Intelex & HSE Application Enablement to serve as the senior subject matter expert and strategic advisor for Environment, Health, Safety, Sustainability, and Quality (HESS/Q) digital platforms. Role Summary This role owns the Intelex ecosystem end‑to‑end, providing technical leadership, system governance, and solution design to ensure HSE technologies are scalable, secure, and aligned with enterprise risk, compliance, and operational excellence objectives. The ideal candidate brings deep Intelex expertise, strong technical acumen, and the ability to partner effectively with both technical and business stakeholders to drive adoption, data quality, and continuous improvement. Key Responsibilities Intelex Platform Ownership & Architecture • Serve as the functional and technical owner of the Intelex platform across modules such as Incident Management, Audits, Quality, Training, and Document Control, • Design and manage end‑to‑end platform configuration, workflows, forms, dashboards, reporting, security roles, and data structures, • Establish governance standards, best practices, and documentation to ensure scalability, integrity, and audit readiness, • Lead advanced troubleshooting, root cause analysis, and vendor escalations to resolve complex platform issues Integration & Data Enablement • Design and support integrations between Intelex and enterprise systems (ERP, HRIS, data warehouses, and analytics platforms), • Leverage Intelex integration capabilities and enterprise data standards to ensure reliable, secure data exchange, • Enable reporting, KPIs, and dashboards aligned to enterprise risk, compliance, and performance objectives Strategic Advisory, User Enablement & Change Leadership • Act as the primary point of escalation and trusted advisor for HSE application users, • Provide expert guidance on system functionality, analytics, and data quality, • Develop advanced user documentation, training materials, and knowledge resources to drive adoption and self‑service, • Provide consultative insights to leadership through dashboards, metrics, and reporting Projects, Enhancements & Continuous Improvement • Lead and support system implementations, module deployments, upgrades, and major enhancements, • Coordinate planning, testing (UAT), and rollout execution, • Partner with cross‑functional teams on change management, communications, and adoption strategies, • Contribute to long‑term HSE digital strategy, roadmap development, and continuous improvement initiatives, • Support enterprise‑wide collaboration and standardized HSE processes Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience, • 5+ years of hands‑on Intelex platform experience, • Experience supporting EHSQ / HESS digital platforms, • Strong ability to communicate effectively with both technical and non‑technical stakeholders Preferred Technical Skills • JavaScript (front‑end customization and API integration), • C# (backend development and API interactions), • Python (automation and data processing), • SQL / PL‑SQL (database queries and reporting), • JSON (API responses and data formatting) At this time, this portfolio company will not sponsor a new applicant for employment authorization for this position.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative product design engineer looking to help develop state-of-the-art AI and aircraft products? Are you eager to make a positive difference in the world? Do you want to work alongside mission driven and values focused teammates? Shield AI is just the place for you! We are seeking a highly skilled and detail-oriented Structures/Mechanical Test Engineer to support the development, testing, and validation of advanced mechanical systems for the Launch and Recovery Vehicle. The ideal candidate will have strong hands-on experience with hydraulic systems, various sensor technologies (e.g., force, pressure, strain, displacement), be proficient in python for test automation and data analysis, and demonstrate expert level proficiency in CAD tools such as NX. You’ll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter. What you'll do: • Develop and execute test plans to validate mechanical performance, structural integrity, and environmental durability from start to finish., • Design, build, and operate test fixtures and systems involving hydraulic actuation, mechanical linkages, and sensor instrumentation., • Integrate and calibrate a range of sensors (e.g., load cells, pressure transducers, strain gauges, accelerometers) into test setups for accurate data collection., • Create and maintain python scripts to provide automation, signal processing, and result visualization., • Analyze test data, troubleshoot system behaviors, and generate technical reports with design feedback., • Collaborate with cross-functional teams including mechanical design, systems, and electrical engineering to define test requirements, run test campaigns and deliver high quality results., • Lead CAD design of custom test equipment, prototypes, fixtures, and components, ensuring manufacturability and safety., • Perform Finite Element Analysis to simulate mechanical performance, validate design assumptions, and correlate analytical results with test data., • Work with metallic/composite materials in the design, fabrication, and testing of mechanical components, with consideration for their unique properties such as anisotropy, delamination risk, and layup configuration., • Support lab safety protocols, equipment maintenance, and improvement of test capabilities.Required qualifications:, • B.S. in Mechanical Engineering, Aerospace Engineering, or related discipline., • 2+ years of professional experience in mechanical/fluids testing, • Understanding of heat transfer (conduction, convection, radiation) and fluid mechanics., • Experienced with active and passive cooling solutions and their integration at component and system level., • Proficiency with mechanical testing of large structures and ground vehicles, • Experience with CAD design tools such as NX, SolidWorks, or similar., • Demonstrated experience applying first-principles reasoning to complex engineering problems., • Strong written and verbal communication skills., • Proven ability to learn and adapt quickly to new tools, processes, and technical challenges in a fast paced, startup environment.Preferred qualifications:, • Experience with UAVs, aircraft, or robotic systems for large ground vehicles, • Hands-on experience performing MIL-STD testing (e.g., MIL-STD-810, MIL-STD-461) including vibration, shock, thermal, and EMI/EMC testing., • Subject Matter Expert in aerospace structures and dynamics test environments., • Familiarity with electro-mechanical actuators, • Hands-on machine shop or mechanic experience (professional or hobby), • Ability to thrive in startup, R&D, or defense innovation environments#LI-MS1#LB Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a Propulsion Engineer to serve as the Responsible Engineer (RE) for the Thrust Vector Control (TVC) system on X-BAT. This role demands full lifecycle ownership of the TVC system, from concept and architecture through design, integration, test, flight, and operational support. You will serve as the focal point for all technical matters related to thrust vectoring, ensuring the system enables precise flight control authority, integrates cleanly with the engine and airframe, and performs reliably across the full range of operational conditions. This role is hands-on, data-driven, and highly cross-functional, requiring collaboration with controls, airframe, flight test, and mission teams.What you'll do: • Act as the single-threaded owner for the TVC system, accountable for all technical decisions from concept to flight., • Define and manage system requirements, performance goals, and mechanical/electrical interfaces., • Design and integrate vectoring mechanisms with the engine and surrounding structure., • Lead ground and flight testing of the TVC system, including instrumentation planning, data collection, and performance evaluation., • Analyze control authority, vectoring bandwidth, and dynamic response across the flight envelope., • Collaborate with the controls team to shape vectoring logic and ensure closed-loop system performance meets CONOPS requirements., • Own fault management, failure investigations, and system reliability strategies., • Represent the TVC system in design reviews, technical checkpoints, customer briefings, and leadership updates.Required qualifications:, • Bachelor’s degree in aerospace engineering, Mechanical Engineering, or a related discipline., • 7+ years of experience in aerospace propulsion or flight control systems, with relevant experience owning subsystem development., • Deep understanding of nozzle dynamics, actuation systems, mechanical integration, and structural/thermal constraints., • Demonstrated experience in hardware development, test planning, and flight test support., • Strong proficiency in Python for performance analysis, data processing, and model correlation., • Familiarity with tools such as ANSYS, FEA, or thermal/fluid modeling for mechanism and system validation., • U.S. Citizenship or ability to comply with ITAR requirements.Preferred qualifications:, • Experience with TVC or control effector systems on UAVs, tactical aircraft, or rocket platforms., • Familiarity with low-bypass turbofan engines and integration constraints near hot-end propulsion hardware., • Experience collaborating on control logic development, transient response shaping, and actuator tuning., • Proficiency with Siemens NX and Teamcenter for CAD and configuration control., • Background in failure modes analysis, margin modeling, and system validation strategies., • M.S. or Ph.D. in Aerospace Engineering or a related discipline.#LI-JM2#LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description For years, Stream Data Centers has been a trusted partner in providing world-class data center solutions. With a focus on sustainable, secure, and reliable infrastructure, Stream empowers businesses to scale their digital operations while prioritizing environmental and social responsibility. Stream Data Centers continues to set new standards for innovation, operational excellence, and sustainability in the data center industry, having provided premium data center services since 1999. Now, with 90% of its inventory leased to Fortune 100 customers, the company has acquired, developed and managed more than 27 data center projects nationally, while leadership has remained consistent for over two decades. From site selection to data center construction and operations, Stream develops wholesale colocation capacity and build-to-suit facilities for hyperscale and enterprise users in major markets across the United States. Additionally, Stream sources and develops low-risk land sites for optimum data center development and provides energy procurement services with a focus on reducing market risk and providing low-cost renewable energy options. Information Technology Department: Stream’s IT team delivers modern, secure technology solutions that power our global operations. We combine proactive management, rigorous cybersecurity, and agile software development to drive business growth. By aligning technology strategy with business goals, we keep Stream at the forefront of innovation and operational excellence. The Role: The Application Administrator (SaaS & Enterprise Applications) serves as the lead for Stream’s application administration function and is responsible for the day-to-day administration, availability, configuration, and lifecycle management of Stream’s SaaS application portfolio, as well as enterprise application deployment and compliance on corporate-managed endpoints via Microsoft Intune. This role ensures applications are reliable, secure, and aligned to business needs through disciplined access management, configuration standards, vendor coordination, endpoint deployment standards, and operational support. You will work closely with—and take technical direction from—the Entra ID Engineer (IAM SME) for identity standards, SSO/MFA patterns, provisioning approaches, and access governance requirements. You will partner closely with Cybersecurity, Infrastructure, and business stakeholders to implement and validate security controls (e.g., SSO/MFA, RBAC, logging, data retention), maintain audit-ready evidence, and drive timely remediation of application risks. Over time, this role will expand to assume IT operational ownership for the application-layer portions of select on-premises and data center–hosted solutions, ensuring consistent standards across SaaS and on-prem environments. Key Responsibilities: • Administer SaaS applications (Day-2 operations): Configure, maintain, and support Stream’s SaaS platforms, including tenant settings, integrations, environments, and ongoing operational health., • Endpoint application deployment (Microsoft Intune): Package, deploy, update, and retire applications using Intune; manage assignment groups and deployment rings; validate installs and remediation steps across Windows/macOS endpoints as applicable., • Device & application compliance enforcement: Partner with Security and Endpoint teams to implement and maintain Intune compliance policies and endpoint application baselines; investigate non-compliance and drive timely remediation aligned to policy and audit expectations., • Troubleshoot complex deployment and policy issues: Diagnose application install failures, detection-rule issues, policy conflicts, and access problems; coordinate fixes with endpoint engineering, IAM, and vendors; document root cause and preventive actions., • Application ownership model and governance: Ensure every application has two owners—IT and the business. Define and maintain RACI, support boundaries, escalation paths, and operational standards for each application., • Identity, access, and roles (RBAC): Administer user provisioning/deprovisioning, role assignments, group mappings, and privileged access workflows; perform periodic access reviews with business owners and enforce least privilege., • SSO/MFA and directory integrations: Implement and maintain SSO, MFA, SCIM/provisioning, and directory integrations (e.g., Entra ID/AD), ensuring reliable authentication and secure access patterns., • Coordinate with IAM on identity changes: Follow IAM-defined standards for SSO/MFA, SCIM provisioning, group/role mappings, and conditional access; coordinate application onboarding and material configuration changes impacting authentication/authorization with the Entra ID Engineer (IAM SME)., • Security configuration and control validation: Partner with Cybersecurity to configure application security controls (conditional access, session controls, logging, retention, DLP settings where applicable) and provide evidence for audits and assessments., • Monitoring, incident response, and vendor coordination: Monitor application availability and key integrations; respond to incidents, coordinate triage with vendors and internal teams, and drive root-cause analysis and preventive actions., • Configuration management and standardization: Maintain baseline configurations, document standards, and reduce drift across tenants/environments; leverage automation and scripting to streamline administration and reduce manual effort., • Change management and release coordination: Manage application changes, upgrades, and release impacts; create implementation/rollback plans, communicate outages, and validate post-change outcomes with stakeholders., • Data, retention, and compliance alignment: Help define and administer application settings that support compliance requirements (retention, legal hold support where applicable, data residency, and audit logging) in partnership with Security and Legal/Compliance., • Application lifecycle and portfolio hygiene: Maintain application inventory/CMDB records, contracts/renewal calendar inputs, ownership metadata, and decommissioning plans; ensure orphaned apps are identified and remediated., • On-premises and data center application transition (future scope): As assigned, assume IT operational ownership for the application-layer components of select on-prem/data center solutions, working with Infrastructure to align patching, access, logging, and support processes., • Standard documentation and runbooks: Create and maintain application runbooks, admin procedures, integration diagrams, support playbooks, and troubleshooting guides; keep ownership, configuration baselines, and key contacts current. Success Metrics & KPIs: • Application availability and operational health: Improved uptime of critical SaaS platforms, reduced recurring incidents, and reliable performance of key integrations., • Access governance and security controls: Timely provisioning/deprovisioning, successful access reviews, and consistent enforcement of SSO/MFA/RBAC with minimal exceptions., • Configuration standardization and drift reduction: Documented baselines for in-scope applications, reduced configuration drift, and faster remediation of misconfigurations., • Audit readiness and evidence quality: Complete, timely delivery of audit evidence (logs, settings, access reviews, retention controls) and reduced repeat findings related to applications., • Ownership clarity and stakeholder satisfaction: Every application has IT and business owners with clear RACI; improved resolution times and stakeholder feedback on application support and communication. Requirements Basic Qualifications: • Bachelor’s degree or equivalent combination of education and experience., • 5–8+ years of hands-on experience administering and supporting enterprise SaaS applications and/or business-critical application platforms in production environments., • Hands-on experience administering Microsoft Intune (Endpoint Manager), including application deployment, compliance policies, and troubleshooting on corporate-managed endpoints., • Strong understanding of application administration fundamentals: tenant configuration, environments, user/role management, integrations (SSO/SCIM/APIs), and troubleshooting methodologies., • Demonstrated experience implementing application access controls and security configurations (SSO/MFA/RBAC, audit logging, session controls) in partnership with Security teams., • Experience with change management for enterprise applications, including release coordination, outage communications, and validation/testing of changes and integrations., • Automation and scripting skills (e.g., PowerShell, Python, Bash) and comfort working with APIs/webhooks (including Microsoft Graph API where applicable) to improve provisioning, reporting, and administrative workflows., • Experience supporting application monitoring/logging and collaborating on security findings, vendor escalations, and incident/problem management., • Comfort operating in regulated or audit-driven environments; ability to produce evidence, document exceptions, and maintain control validation artifacts., • Experience supporting SOC 2, ISO 27001, or similar control frameworks, including evidence collection, access reviews, and control validation for enterprise applications., • Excellent written and verbal communication; proven ability to influence cross-functional teams and mentor others., • Ability to work across multiple U.S. locations and travel to data center sites as needed; after-hours availability for high-priority server/security incidents when required. Preferred Qualifications: • Experience with SaaS administration consoles and vendor portals, • Experience with Microsoft Intune (Endpoint Manager) for app deployment and endpoint compliance, • Experience with identity platforms and SSO (Entra ID/Azure AD, Active Directory integration, SAML/OIDC), MFA and conditional access, SCIM provisioning, RBAC, • Experience with API tools and automation (PowerShell/Python, REST APIs, Microsoft Graph API, Postman); logging/monitoring and SIEM integrations (e.g., Splunk, Sentinel, or similar), • Experience with ITSM/ticketing systems; and documentation/knowledge management platforms, • Familiarity with common enterprise SaaS categories (collaboration, HRIS, finance, CRM, ERP, ITSM) and audit/compliance expectations Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Wellness Resources The pay range for this role is between $130,000 – 165,000 (base). Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, location, and other job-related reasons. Stream Data Centers offers annual bonus, benefits, flexible time off (vacation), 401k and a variety of other perks and benefits. Stream is an equal-opportunity employer and does not discriminate on the basis of ethnicity, race, religion, sex, age, national origin, disability, military status, or any other reason prohibited by law. Note: Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

Job DescriptionBenefits: • Long Term, • Competetive Salary, • Oppurtunity for Advancement AI Engineering Lead Agentic Systems Work Type: Full-Time, Onsite Location: Dallas, Texas Interview Mode: In-Person Work Auth : Must be authorized to work in the U.S. Domain: Enterprise AI / Agentic AI / AWS Bedrock Compensation: Competitive, commensurate with experience Role Overview As Tech Lead, Agentic AI Solutions, you will lead the design and delivery of enterprise-grade agentic AI architectures that enable autonomous and semi-autonomous agents to perform complex, cross-functional business tasks. You will define the frameworks, orchestration patterns, and governance standards that ensure our agentic AI systems operate with safety, reliability, and scalability across enterprise environments. This position blends deep technical leadership with innovation in AI orchestration, distributed systems, and multi-agent coordination. This is an ideal opportunity for an experienced technologist who thrives in a dynamic environment and is passionate about shaping the next generation of intelligent agent platforms within the enterprise. Key Responsibilities • Architect & Lead Development: :Design and implement scalable agentic AI frameworks, including multi-agent orchestration, task planning, and execution pipelines., • Integration & Protocol Design: Architect secure protocols and integrationssuch as Model Context Protocol (MCP) servers, API gateways, and tool registriesto enable seamless agent-to-agent and agent-to-human collaboration., • Technical Roadmap Ownership: Define and execute the roadmap for agentic AI solutions, continuously evaluating and adopting emerging frameworks like LangGraph, Bedrock Agents, CrewAI, and Strands., • Reusable Registries: Establish governed agent, prompt, and tool registries for standardized, reusable components., • Reliability & Performance: Engineer high-reliability orchestration with low latency, intelligent fallback, and self-healing mechanisms., • Observability & Governance: Implement traceability, explainability, and observability tools to ensure transparent, auditable agentic workflows., • Security & Compliance: Define security standards for API access, RBAC, data sanitization, and policy-gated tool execution; ensure compliance with NIST AI RMF, ISO/IEC 42001, and privacy-by-design principles., • Monitoring & Evaluation: Develop real-time monitoring pipelines that track agent decision quality, execution success/failure, and dependency health., • Cross-Functional Collaboration: Partner with Product Managers, Data Engineers, Legal/Compliance, and Business stakeholders to translate strategic objectives into robust agentic capabilities., • Innovation: Advance methods in planning, memory, context engineering, and knowledge integration to enhance autonomy, reliability, and reasoning capabilities., • Technical Leadership: Mentor engineers, promote best practices in AI infrastructure, and guide teams in developing modular, scalable, and compliant agentic systems. Required Qualifications Education: Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience). Experience: • 8+ years of software engineering experience in AI/ML, distributed systems, or platform engineering., • 3+ years in senior technical leadership or architecture roles guiding multi-disciplinary teams.Technical Expertise:, • Strong proficiency in Python and experience with multiple programming paradigms., • Deep experience with the AWS ecosystem (Bedrock, SageMaker, Lambda, S3, Redshift, VPC)., • Proven ability to design agent-safe protocols (MCP, API sandboxes, secure tool registries)., • Expertise in distributed systems, asynchronous processing, and low-latency orchestration., • Hands-on experience with AI observability and traceability systems., • Familiarity with metadata management, data lineage, and knowledge graph integration for agent context enhancement., • Leadership & Governance:, • Skilled in agile methodologies and iterative delivery of complex AI infrastructure., • Demonstrated success implementing AI governance and compliance frameworks., • Exceptional ability to communicate complex technical concepts to both engineers and executives., • Strong track record of mentoring, team building, and fostering inclusive, high-performing teams., • Preferred Qualifications, • Experience with LangChain, LangGraph, Bedrock Agents, CrewAI, or LLMOps frameworks., • Knowledge of GraphRAG, memory management, and context-aware planning in multi-agent systems., • Exposure to regulated environments such as healthcare, finance, or aviation., • Familiarity with AI risk management, auditability frameworks, and policy-driven AI governance.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. You will...- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects and shipping machine learning features/models into production.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking an experienced Test Engineer to support the development, integration, and validation of XBat flight critical software systems. This role is responsible for designing and executing test strategies across hardware, software, and system-level components to ensure performance, reliability, and mission readiness. Key responsibilities include developing test plans and procedures, executing verification and validation (V&V) efforts, analyzing test data, and collaborating cross-functionally with engineering, manufacturing, and program teams. The ideal candidate has strong experience with aerospace or defense systems, familiarity with regulatory standards (e.g., DO-178C, DO-254, MIL HDBK 516c), and a proven ability to troubleshoot complex system issues. Qualifications include a degree in engineering or a related field, 2-5 years of relevant experience, and strong analytical, communication, and leadership skills. Experience with automated testing, hardware-in-the-loop (HIL), and flight test support is highly desirable.What you'll do: • Develop test plans and procedures,, • Execute verification and validation (V&V) efforts, • Analyzing test data, • Collaborating cross-functionally with engineering, manufacturing, and program teams. Required qualifications:, • Bachelor’s degree in Engineering, Computer Science, or a related technical field, • Hands-on experience in testing (e.g., 2–5 years depending on level) across software, hardware, or integrated systems, • Knowledge of test methodologies including verification & validation (V&V), regression testing, and test case development, • Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test frameworks, • Ability to read and interpret technical documentation, requirements, and system specifications, • Strong problem-solving skills with the ability to troubleshoot and isolate defects, • Strong written and verbal communication skills for documenting and reporting test resultsPreferred qualifications:, • Experience testing and troubleshooting complex embedded systems., • Experience with large programs and fielding first of type systems.#LI-SM1#LB Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Position: SENIOR MODELING LEAD YEARS OF EXPERIENCE: 9-10+ YEARS Location: Plano, TX & San Antonio, TX Position Overview We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML workstreams. In this role, you will direct a team of data scientists / modelers through full model development lifecycle, ensure consistency in modeling standards and governance practices, and serve as primary liaison between technical teams and senior stakeholders. Ideal candidate brings 9-10+ years of modeling experience and a proven ability to operate effectively at both strategic and technical levels. Key Responsibilities • Provide strategic and technical leadership across multiple AI/ML modeling workstreams, ensuring alignment with business, • Oversee full model lifecycle across all workstreams — including development, validation, independent assessment, performance optimization, monitoring, documentation, and governance., • Establish and enforce consistent modeling standards, methodology frameworks, explainability practices, and bias testing protocols across team., • Act as a primary escalation point for model risk, governance issues, technical challenges, partnering with risk, compliance as needed., • Lead model review and approval processes, ensuring all models meet internal governance requirements and applicable regulatory standards., • Translate complex modeling outcomes and technical findings into clear, actionable insights for executive and non-technical stakeholders., • Drive evaluation and adoption of emerging AI/ML tools, platforms, and methodologies, providing evidence-based recommendations to leadership., • Recruit, mentor, and develop a high-performing team of senior and mid-level modelers, fostering a culture of technical rigor and continuous improvement., • Define team's long-term analytical roadmap, balancing innovation with BAU delivery., • Collaborate cross-functionally with data engineering, technology, operations, and business teams to align modeling solutions with broader organizational objectives. Qualifications & Experience • 10+ years of progressive experience in quantitative modeling, data science, or applied AI/ML, with at least 3 years in a team leadership or senior technical lead capacity., • Broad expertise across multiple modeling domains, such as predictive analytics, NLP, optimization, or AI platform evaluation., • Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large-scale data platforms., • Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations., • Proven ability to lead and develop cross-functional modeling teams in a fast-paced, delivery-oriented environment., • Experience engaging with model risk, audit, compliance, or regulatory stakeholders, and navigating governance and approval processes., • Exceptional communication skills & ability to present complex technical concepts clearly to stakeholders., • Track record of driving adoption of emerging AI/ML technologies in a structured manner., • Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline preferred.