Role Description The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market. As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumio's reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally. - Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio. - Design and implement machine learning, deep learning, classical CV focused on fraud detection. - Research to support the deployment of the advanced algorithms. - Deploy models as AWS SageMaker endpoints or directly onto devices. - Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences. - Work collaboratively with other engineers and product managers in an Agile development environment. Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. - A minimum of 6+ years of commercial experience in the field of machine learning/deep learning, not including time spent studying (2 years with Master’s). - Must have: experience with training of DL models for deepfakes, synthetic data, or gen AI data detection. - Deep understanding of how to convert ML metrics to product goals. - Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing production-grade Python code. - Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments. - Strong communication and problem-solving skills. Requirements - Experience in working with LLM’s or VLM’s. - Work with image or video generation. - Experience with cloud environments - AWS / GCP. - Experience in working in global organizations across several timezones. Benefits - IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation. Equal Opportunities Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. Company Description Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

Role Description We are seeking a Senior Middleware Engineer with deep expertise in enterprise messaging, event-driven architecture, and distributed systems integration. In this senior-level role you will be the technical authority for all middleware platforms across the organisation, owning the design, deployment, performance, and reliability of messaging infrastructure that underpins our mission-critical applications. You will lead integration strategy across RabbitMQ, Redis, and Azure Service Bus, working alongside development, DevOps, and cloud architecture teams to deliver scalable, resilient, and observable messaging solutions. You will also serve as the primary escalation point for integration incidents and provide technical leadership and mentoring to the wider engineering team. Key Responsibilities - Architect, deploy, and operate enterprise messaging and middleware platforms including RabbitMQ, Redis, and Azure Service Bus across development, staging, and production environments. - Design and govern event-driven and message-driven integration patterns: pub/sub, competing consumers, dead-letter handling, saga/choreography, and request-reply. - Lead performance engineering for middleware: tune RabbitMQ broker configuration, channel and prefetch settings, Redis eviction policies, cluster topology, and Azure Service Bus namespace tiers and partitioning. - Define and enforce standards for message schema design, versioning, serialisation (JSON, Avro, Protobuf), and backward/forward compatibility. - Implement and maintain High Availability and Disaster Recovery for middleware: RabbitMQ mirrored/quorum queues, Redis Cluster and Sentinel, Azure Service Bus geo-redundancy and paired namespaces. - Establish end-to-end observability: distributed tracing (OpenTelemetry), metrics (Prometheus/Grafana), and alerting for queue depth, consumer lag, connection pool saturation, and error rates. - Collaborate with application development teams to review integration designs, message flow architectures, and service mesh configurations before production release. - Own middleware security posture: TLS configuration, certificate management, RBAC/ACL policies on brokers, Managed Identity authentication for Azure Service Bus, and secrets management. - Drive Infrastructure-as-Code adoption for middleware provisioning using Terraform, Bicep, or Ansible. - Support CI/CD pipeline integration for automated deployment, configuration, and smoke-testing of middleware components. - Lead incident response and post-incident reviews for Severity 1 middleware outages; produce actionable remediation plans. - Mentor mid-level and junior engineers; produce architecture decision records (ADRs), runbooks, and operational documentation. Core Technology Expertise - RabbitMQ - Expert knowledge of AMQP 0-9-1, exchanges, bindings, queues, and routing topologies (direct, topic, fanout, headers). - Experience with Quorum Queues, Lazy Queues, and stream queues for durability and high-throughput scenarios. - RabbitMQ cluster formation, quorum-based leader election, and cross-datacenter federation/shovels. - Management API, Prometheus plugin, and Grafana dashboards for broker observability. - Redis - Deep expertise in Redis data structures: Strings, Hashes, Lists, Sets, Sorted Sets, Streams, and HyperLogLog. - Redis as a message broker: Pub/Sub, Redis Streams with consumer groups, and XREAD/XACK patterns for reliable processing. - Redis as a caching layer: cache-aside, write-through, write-behind, TTL strategies, and cache stampede prevention. - Redis Cluster (hash slots, resharding) and Redis Sentinel for HA; Azure Cache for Redis Premium tier configuration. - Performance tuning: memory optimisation, eviction policies (LRU, LFU, allkeys), persistence (RDB/AOF) trade-offs. - Azure Service Bus - Expert-level experience with Azure Service Bus queues, topics, subscriptions, and forwarding rules. - Message sessions, scheduled messages, deferred messages, dead-letter queues (DLQ), and message lock renewal patterns. - Premium namespace configuration: partitioning, geo-disaster recovery (paired namespaces), and availability zones. - Authentication via Managed Identity (RBAC), Shared Access Signatures (SAS), and Private Endpoints for network isolation. - Integration with Azure Event Grid, Azure Logic Apps, Azure Functions, and APIM for end-to-end integration workflows. - Cost optimisation: right-sizing tiers, auto-delete on idle, and message batching strategies. Required Skills & Experience - 7+ years of software engineering or platform engineering experience, with 4+ years focused on middleware and integration platforms. - Demonstrable senior-level expertise across RabbitMQ, Redis, and Azure Service Bus in production enterprise environments. - Strong understanding of distributed systems fundamentals: eventual consistency, idempotency, at-least-once vs exactly-once delivery, and the two-generals problem. - Experience designing and implementing event-driven microservices architectures and service integration patterns (EIP). - Proficiency in at least one primary programming language commonly used for integration workloads: C# (.NET), Java/Kotlin, Python, or Go. - Hands-on experience with Kubernetes or container orchestration for middleware workloads (Helm charts, operators). - Infrastructure-as-Code experience with Terraform, Bicep, or Ansible for middleware provisioning. - Strong observability skills: distributed tracing with OpenTelemetry, metrics with Prometheus/Grafana, and structured logging. - Experience with secure middleware configuration: TLS/mTLS, certificate rotation, secrets management (Azure Key Vault, HashiCorp Vault). - Proven ability to lead technical initiatives, produce architectural documentation, and mentor engineers. Desirable / Advantageous - Experience with Apache Kafka or Azure Event Hubs for high-throughput event streaming use cases. - Familiarity with Apache Camel, MuleSoft, or Azure Integration Services for enterprise integration patterns. - Microsoft certification: AZ-204 (Azure Developer) or AZ-305 (Azure Solutions Architect). - Experience with service mesh technologies: Istio, Linkerd, or Azure Service Mesh for mTLS and traffic management. - Exposure to CQRS, Event Sourcing, and Outbox Pattern implementations in distributed systems.

Title: Senior Coastal - Marine Engineer Location: Anchorage, AK Department: Coastal/Marine Design Job Description: At W.F. Baird, you’re never just a number, you’re part of a global team that values your voice, ideas, and growth. For 40+ years, we have combined the stability of an established and trusted firm with the creativity of a niche engineering company, working where water meets land to design and deliver solutions that protect coastlines, strengthen ports, restore ecosystems, and more. With offices across North America, the Caribbean, South America, and Australia, we offer global impact with a welcoming, people first culture. Here, you’ll find meaningful work, room to grow, and the chance to make waves alongside other talented people who share your passion. The Opportunity Now, as we expand our presence in Anchorage, Alaska, you will have the opportunity to be part of building Baird’s next chapter, bringing our coastal and water engineering excellence to the Pacific region and beyond as a Senior Coastal /Marine Engineer. As a senior level Coastal /Marine Engineer at Baird, you will be responsible for leading the design and delivery of coastal and marine infrastructure projects, with an emphasis on structural solutions such as shore protection, breakwater, and waterfront systems. Manages all phases of project work, from planning and design through construction and close-out while serving as a key client contact. Responsibilities also include business development, proposal support, and client relationship management. Regular travel, including extended site visits, is required to support project execution and client engagement. What You Will Do Project Management & Technical Delivery - Lead the planning, design, and delivery of complex coastal and waterfront infrastructure projects. - Serve as the primary technical lead and project manager on coastal engineering assignments. - Apply advanced coastal and structural engineering principles to develop design solutions for coastal protection, erosion control, and marine infrastructure. - Oversee and review design documentation including engineering reports, construction drawings, specifications, and cost estimates. - Manage project schedules, budgets, and deliverables while ensuring adherence to internal quality control processes. - Ensure all project work is conducted with attention to safety, environmental stewardship, and regulatory compliance. Client Engagement - Manage client relationships, acting as the day-to-day point of contact and ensuring client expectations are met or exceeded. - Support proposal development, interviews, and business development strategies. - Maintain and grow client relationships; guide project strategy to align with client needs. - Travell, including extended site visits, is required to support project execution and maintain client relations. Team Coordination & Collaboration - Collaborate with multidisciplinary teams including engineers, scientists, geomatics specialists, CAD drafters, and surveyors. - Lead site investigations, condition assessments, and construction oversight for projects. - Work effectively across offices and time zones to ensure alignment with project deliverables. What You Will Bring Qualifications - Bachelor’s degree in coastal engineering, civil engineering, ocean engineering or related field - Licensed Professional Engineer (P.Eng. in Canada or P.E. in the U.S.) in good standing. - 10+ years of coastal or marine engineering experience in consulting or a contractor role. - Demonstrated experience in project design or construction experience involving coastal and marine structures, ecosystem restoration or navigation and dredging. - Experience with site investigations, permitting, and construction-phase services. - Deep working knowledge of design guidelines, codes, and standards related to coastal and marine engineering. - Proven project management skills, including budgeting, scheduling, and risk management. - Effective communication and presentation skills, with the ability to convey technical information to diverse audiences. - Availability and willingness to travel domestically and internationally when required. - Reside in the Anchorage, AK area. Preferred Qualifications - Master’s degree in coastal engineering, civil engineering, ocean engineering or related field from an accredited institution. - experience in coastal and marine engineering, with a focus on design and construction of coastal infrastructure (e.g., seawalls, revetments, breakwaters, ports, or harbors). - Ability to clearly document the basis of design including the documentation of design codes and standards, data analysis, assumptions, calculations, and conclusions. - Experience working in consulting or client-service environments. - Advanced technical command of industry-standard modeling software, including AutoCAD Civil 3D, HEC-RAS, MIKE21, SWAN, and Delft3D. - Deep theoretical and practical knowledge of coastal physics, specifically wave dynamics, sediment movement, and the engineering of shoreline defenses. - Experience conducting feasibility studies, environmental impact analyses, and cost evaluations. - Familiarity with federal, state, and local regulations affecting coastal and marine projects. - Experience working with public agencies (e.g., EPA, USACE, NOAA, local environmental agencies) as well as private sector clients. Although this opporunity is currently 100% remote, you must reside in the Anchorage Alaska area.

Role Description V2X is hiring a part-time RF Engineer to provide support at the Naval Air Station (NAS) Patuxent River. The candidate would support acquisition programs in proceeding through the equipment spectrum certification process to enable the legal radiation of spectrum dependent systems. The process includes: - Creating Spectrum Supportability Risk Assessments (SSRA) - Developing equipment spectrum certification packages using NTIA software tools like EL-CID/online - Working with the Navy Marine Corps Spectrum Center (NMSC) - Obtaining J/F 12’s - Assisting in the spectrum assignment process within the US&P and for Host Nation Coordination (HNC) Responsibilities include: - Providing technical expertise to the engineering team regarding EMC and the electromagnetic spectrum for Navy/Marine Corp spectrum dependent systems, including air/land/sea based systems. - Navigating multiple spectrum and frequency allocation databases to find information on systems of interest and applying this information to various platforms. - Researching and evaluating spectrum dependent system and equipment characteristics along with performance criteria. - Reviewing the intended use of the equipment and determining and assessing its conformance to applicable spectrum standards as defined in the NTIA Manual. - Calculating link budgets and performing coupling analysis to identify operating capabilities and feasibilities of DoD and other spectrum dependent systems, and developing EMC techniques to mitigate EMI. - Performing and documenting Spectrum Supportability Risk Assessments (SSRA)s for DoD acquisition programs at various stages of development. Additional Duties (as required): - Supporting business development efforts as required to include seeking growth opportunities. - Supporting proposal efforts to include writing responses to requests for proposals (RFP) and/or participating in review teams. Qualifications - BS in Electrical Engineering, Physics, or other related STEM degree - Experience in RF engineering associated with DoD spectrum dependent systems or in Navy/Joint Operational Spectrum Management and National Administrative Spectrum Management processes, applications, and systems. - Experience in the application of EMI, EMC criteria, or other engineering criteria for operational spectrum coordination and compatibility analyses. - Experience in the operation and evaluation of communications, combat systems, electronic warfare systems, navigation aids, and other spectrum-dependent systems. - Experience in conducting spectrum EMI/EMC evaluations, performing engineering analyses to predict and define spectrum EMI problems, and operational implementation of systems within the DoD. - Experience in developing and updating spectrum documentation, operational publications, position papers, white papers, and briefings relating to spectrum considerations and use. - 3+ years in Testing, modeling or evaluating Spectrum Dependent Systems, RF System Capabilities Analysis, Systems Integration, and Spectrum Policy. - General RF and electronic technology experience required. - EMI, EMC, RF Engineering, or Spectrum Management. Requirements - Experience in developing spectrum certification following the NTIA Manual of Regulations, preferably for airborne platforms including radars, communications systems (terrestrial and space), and EW systems. - Knowledge of systems utilizing the 960-1215MHz frequency band to include IFF interrogators, transponders, test sets, TCAS, and transponders. - Familiarity with the AIMS PO and the associated requirements. Skills - Equipment Spectrum Certification and related National Spectrum Policies - RF analysis and report development - Understanding current DoD spectrum related systems and evaluating compliance to national spectrum standards - EL-CID, EL-CID Online - HNSWDO - GEMSIS - Spectrum SXXI Clearance Requirement - Active SECRET Security Clearance