Role Description We are sharing a specialised remote consulting opportunity for experienced fraud, risk, and trust & safety engineering professionals with strong coding agent experience and practical judgment across fraud detection systems, risk scoring workflows, abuse prevention tooling, and transaction monitoring platforms. This role supports current and upcoming remote consulting opportunities focused on fraud and risk engineering evaluation, coding-agent-assisted technical workflows, system review, abuse prevention analysis, and realistic trust & safety engineering scenarios. Selected professionals may use tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable coding agents to complete, review, and evaluate technical tasks involving fraud detection, risk modelling, transaction monitoring, abuse prevention, and large-scale consumer or financial systems. Key Responsibilities - Fraud & Risk Engineering Evaluation - Use modern coding agents to complete and evaluate complex fraud and risk engineering tasks. - Review generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems. - Assess technical outputs for correctness, scalability, maintainability, reliability, and production-readiness. - Apply professional engineering judgment to realistic fraud, risk, and trust & safety scenarios. - Detection Systems & Abuse Prevention Review - Evaluate fraud detection logic, rule-based systems, risk scoring workflows, anomaly detection patterns, and abuse prevention mechanisms. - Review transaction monitoring systems, user behaviour signals, account risk indicators, and platform integrity workflows. - Identify bugs, edge cases, failure modes, weak assumptions, and risk gaps in fraud-related technical outputs. - Provide structured feedback on system design, data flow, detection quality, and implementation trade-offs. - Coding Agent Output Assessment - Compare outputs from multiple coding agents and assess their strengths, weaknesses, accuracy, and practical usefulness. - Identify where generated solutions succeed, where they fail, and where additional fraud engineering judgment is required. - Evaluate whether generated fraud and risk implementations reflect real-world engineering standards. - Document technical review findings clearly for project teams and quality evaluation workflows. - Technical Documentation & Feedback - Produce clear, structured evaluations of fraud and risk engineering tasks and generated outputs. - Explain reasoning around detection logic, risk scoring, abuse prevention, transaction monitoring, scalability, and failure handling. - Support technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusions. - Help ensure outputs reflect production-scale fraud, risk, and trust & safety engineering expectations. Qualifications - 2+ years of professional experience in fraud engineering, risk engineering, trust & safety engineering, or related technical domains. - Hands-on experience building fraud detection systems, risk scoring models, abuse prevention tooling, transaction monitoring systems, or platform integrity workflows. - Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable tools. - Ability to evaluate generated technical solutions in fraud, risk, and trust & safety contexts. - Experience in fintech, payments, marketplaces, large-scale consumer platforms, or high-volume transaction environments is strongly preferred. - Strong understanding of detection systems, risk signals, data pipelines, backend workflows, scalability, and system reliability. - Clear written communication skills and comfort documenting technical reasoning in a remote, project-based environment. Educational Background - A degree in Computer Science, Software Engineering, Data Science, Information Systems, Cybersecurity, Statistics, Mathematics, or a related technical field is helpful. - Equivalent professional experience in fraud engineering, risk systems, trust & safety, payments infrastructure, marketplace integrity, or production software engineering is also highly relevant. Nice to Have - Experience with Python, SQL, Java, Scala, Go, JavaScript, TypeScript, or comparable engineering languages. - Familiarity with fraud rules engines, risk scoring systems, anomaly detection, graph-based detection, identity verification, payments risk, chargeback workflows, or account abuse prevention. - Experience with data platforms, streaming systems, Kafka, Spark, Flink, Airflow, Snowflake, BigQuery, Databricks, or comparable infrastructure. - Background in technical code review, fraud system evaluation, risk platform architecture, or large-scale consumer platform engineering. - Strong comfort working in sprint-based project environments with focused technical assessment windows. Why This Opportunity - Remote consulting work aligned with fraud engineering, risk systems, coding agent, and technical evaluation expertise. - Opportunity to evaluate realistic fraud and risk engineering workflows involving detection systems, transaction monitoring, abuse prevention, and trust & safety platforms. - Suitable for engineers who enjoy technical assessment, tool-assisted coding workflows, risk logic review, and practical systems problem-solving. - Sprint-based project work that can align with focused availability and remote schedules. Contract Details - Independent contractor engagement. - Fully remote and flexible scheduling. - Sprint-based, project-based availability. - Some project work may run in focused 12–24 hour sprint windows depending on project requirements. - Compensation may reach up to $90/hour, depending on project scope, experience, and accepted work structure. - Some projects may use accepted-task compensation depending on the specific workflow. - Payments are made weekly via Stripe or Wise based on services rendered. - Projects may be extended, shortened, adjusted, or concluded based on project needs and performance. - Candidates requiring H1-B or STEM OPT sponsorship support are not eligible at this time. - Work must not involve sharing confidential or proprietary information from any employer, client, or institution.

Role Description We are sharing a specialised remote consulting opportunity for experienced systems engineers with strong coding agent experience, practical systems-level engineering judgment, and the ability to evaluate complex code, architecture decisions, and technical implementations across realistic systems engineering scenarios. This role supports current and upcoming remote consulting opportunities focused on: - Systems engineering evaluation - Coding-agent-assisted technical workflows - Architecture review - Performance analysis - Infrastructure software assessment - Production-scale systems reasoning Selected professionals may use tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable coding agents to complete, review, and evaluate technical tasks involving: - Distributed systems - Networking - Operating systems - Storage systems - Infrastructure software - Database internals - Performance-critical engineering workflows Qualifications - 2+ years of professional systems engineering experience - Hands-on experience with distributed systems, networking, operating systems, storage systems, infrastructure software, or database internals - Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable tools - Ability to evaluate generated systems designs and technical implementations - Experience building highly scalable and performance-critical systems is strongly preferred - Strong understanding of architecture trade-offs, concurrency, latency, resource management, scalability, reliability, and failure handling - Clear written communication skills and comfort documenting technical reasoning in a remote, project-based environment Requirements - A degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Information Systems, or a related technical field is helpful - Equivalent professional experience in systems engineering, distributed systems, infrastructure software, performance-critical systems, or production software engineering is also highly relevant Nice to Have - Experience with Go, Rust, C, C++, Java, Python, or comparable systems-oriented programming languages - Familiarity with Linux systems, networking protocols, storage engines, distributed databases, concurrency models, performance profiling, or low-level debugging - Experience with Kubernetes, cloud infrastructure, service mesh, observability tooling, infrastructure automation, or large-scale backend systems - Background in technical code review, systems architecture review, performance evaluation, or production reliability work - Strong comfort working in sprint-based project environments with focused technical assessment windows Benefits - Remote consulting work aligned with systems engineering, coding agent, and technical evaluation expertise - Opportunity to evaluate realistic systems engineering workflows involving architecture, performance, distributed systems, infrastructure software, and reliability - Suitable for engineers who enjoy technical assessment, tool-assisted coding workflows, systems design review, and practical performance-focused problem-solving - Sprint-based project work that can align with focused availability and remote schedules Contract Details - Independent contractor engagement - Fully remote and flexible scheduling - Sprint-based, project-based availability - Some project work may run in focused 12–24 hour sprint windows depending on project requirements - Compensation may reach up to $90/hour, depending on project scope, experience, and accepted work structure - Some projects may use accepted-task compensation depending on the specific workflow - Payments are made weekly via Stripe or Wise based on services rendered - Projects may be extended, shortened, adjusted, or concluded based on project needs and performance - Candidates requiring H1-B or STEM OPT sponsorship support are not eligible at this time - Work must not involve sharing confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

• Build and Scale Marketing Systems Design, build, and maintain workflows, automations, and internal tools that support marketing execution and lead management. • Connect marketing platforms across the GTM ecosystem using APIs, integrations, middleware, and scripting. • Identify opportunities to streamline campaign execution and eliminate manual processes. • Balance rapid experimentation with long-term scalability, reliability, and governance. • Serve as a primary administrator for HubSpot, including workflows, lifecycle stages, lead scoring, custom properties, reporting, integrations, and data governance. • Maintain data quality standards, field mappings, attribution models, and campaign tracking frameworks. • Troubleshoot system issues and optimize platform performance to support business objectives. • Identify and implement high-impact AI use cases across the marketing team. • Build AI-powered workflows that support: Content and creative generation Campaign testing and optimization Audience segmentation and personalization Lead routing and qualification. • Evaluate emerging AI technologies and recommend practical applications that improve marketing efficiency and performance. • Generate analysis that provides visibility into campaign performance and funnel effectiveness. • Ensure marketing technologies and data workflows comply with GDPR and other applicable privacy regulations by maintaining consent management processes, data governance standards, preference management, and customer data handling controls. • Translate campaign strategies into repeatable workflows, automations, and operational systems. • Build audience segmentation frameworks aligned to BitSight's Ideal Customer Profile, including security leaders, risk and compliance teams, and procurement stakeholders. • Ensure clean, reliable data flows from marketing channels into CRM and analytics systems (Salesforce, HubSpot, Looker etc.)

Role Description The Propulsion Lead commands the propulsion machinery, shafting, and thruster architectures of Ocean Atomics’ floating energy platforms, driving the mechanical engineering discipline required to secure the class and regulatory approval for our fleet. This role defines how our vessels move, maneuver, and maintain station-keeping capabilities across their entire operational lifecycle. You will own the prime movers, reduction gears, steering systems, and transit propulsion networks from initial concept through operational deployment. Your primary directive is to enforce rigid mechanical interface standards to ensure our conventional platforms are natively pre-engineered for seamless, post-delivery nuclear integration. By delivering survivable, highly reproducible, and modular propulsion plants, you will establish the definitive transit and maneuvering capabilities of our vessels, eliminating mechanical and hydrodynamic risk across the fleet. Primary Responsibilities - Command Propulsion and Thruster Architectures: Lead the engineering, selection, and optimization of primary propulsion machinery, mechanical shafting, and thruster systems. - Own Prime Movers and Transit Networks: Design and manage the integration of prime movers, reduction gears, steering systems, and auxiliary transit propulsion networks from initial layout through deployment. - Enforce Rigid Mechanical Interfaces: Establish and safeguard strict mechanical interface boundaries and alignment tolerances to ensure the conventional machinery plant natively adapts to future nuclear power inputs. - Deliver Modular Plant Designs: Build highly survivable, reproducible, and modular propulsion configurations that minimize shipyard fabrication complexity and de-risk downstream assembly loops. - Eliminate Lifecycle Mechanical Risk: Conduct rigorous torsional vibration analyses, shaft alignment modeling, and hydrodynamic boundary assessments to eliminate mechanical vulnerabilities before steel cutting begins. - Support Class and Regulatory Approvals: Generate the mechanical schematics, calculations, and technical data packages required to clear classification society reviews (ABS) and statutory flag state (USCG) approvals. Qualifications - Education: Bachelor’s or advanced degree in Marine Engineering, Mechanical Engineering, or a strictly related heavy machinery engineering discipline. - Experience: 8+ years of experience specializing in marine propulsion systems, heavy machinery design, or shafting configuration for commercial vessels, naval ships, or large-scale offshore assets. - Technical Mastery: Deep proficiency in marine propulsion engineering, including shaft line dynamics, reduction gear selection, steering gear mechanics, and thruster integration, alongside a definitive command of classification society machinery rules (e.g., ABS, DNV). - Leadership Posture: A disciplined, highly analytical engineer who commands total authority over mechanical systems physics, executes complex engineering trade-offs under tight structural constraints, and drives technical progress through aggressive design loops. Why this matters Every industry on Earth needs scalable, clean energy, and the ocean is the ideal place to unlock it. Joining Ocean Atomics means building real, lasting infrastructure — the kind that powers generations. The world needs abundant energy. Let's make it happen. Company Description Ocean Atomics LLC is an equal opportunity employer. We are committed to a workplace free of discrimination and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable law. We are committed to providing reasonable accommodations; if you need an accommodation during the application process, contact info@oceanatomics.com.