Python Developer Jobs in Kuwait

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Qurain AI is a growing AI automation company in Kuwait. We build done-for-you AI solutions for local businesses — chatbots, WhatsApp automation, booking systems, and document/workflow automation — connecting AI (like Claude) into real businesses and making it work end to end.</p><p>We're looking for our first AI Automation Engineer: the technical builder who turns a client's problem into a working solution — backend, AI integration, and automations — and keeps it running. Fully remote, with real room to grow: you'll be one of our first engineers, working hands-on with the newest AI tools, with a clear path toward a technical-lead role as the company grows.</p><p>Key responsibilities:</p><ul><li>Build and maintain backends, automations, and AI integrations for client projects</li><li>Integrate LLM APIs (Claude / OpenAI) and implement RAG to ground AI in each client's data</li><li>Connect systems — WhatsApp Business API, Google Sheets/Calendar, automation tools (Make / n8n)</li><li>Build reliable, safe AI assistants in Arabic and English</li><li>Test, document, ship, and support what you build, end to end</li></ul><p>What we offer: a monthly salary, hands-on work with cutting-edge AI, and a genuine path to grow into a lead role as we scale.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Must have:</p><ul><li>Bachelor's degree in Computer Science, IT, Software Engineering, or related field</li><li>Strong Python and/or JavaScript</li><li>Full-stack experience (backend, databases, APIs)</li><li>Comfortable with Git/GitHub and the terminal / command line</li><li>Experience integrating APIs, especially LLM APIs (Claude / OpenAI)</li><li>Willing to work AI-native — building with AI coding tools (Claude Code / Codex / Cursor), with the judgment to catch the AI's mistakes</li></ul><p>Strong plus:</p><ul><li>RAG (retrieval-augmented generation)</li><li>Automation tools (Make / n8n)</li><li>WhatsApp Business API</li><li>Google Sheets / Calendar integration</li><li>Arabic + English (Arabic a strong plus)</li></ul><p>Who fits: a practical builder who ships working systems, works well independently and remotely, communicates clearly, and is hungry to keep learning.</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Location: Kuwait-Onsite</b></p><p><b>Employment Type: Full-time</b></p><p><b>&nbsp;</b></p><p><b>Job Summary</b></p><p><b>&nbsp;</b></p><p>We are looking for a skilled and experienced Automation QA Engineer to join our team in an onsite role. The ideal candidate should have strong expertise in Selenium Automation, API Testing using Postman, and test automation framework development. You will be responsible for ensuring software quality by designing, developing, and executing automated test solutions for web applications and APIs.</p><p><b>&nbsp;</b></p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and maintain robust automated test scripts using Selenium WebDriver.</li><li>Develop and enhance automation frameworks following industry best practices.</li><li>Execute automated regression, smoke, functional, integration, and end-to-end test suites.</li><li>Perform comprehensive API testing using Postman, including creating collections, writing test scripts, validating responses, and automating API test execution.</li><li>Collaborate with developers, business analysts, and product owners to understand requirements and define test strategies.</li><li>Identify, log, track, and verify software defects using defect management tools.</li><li>Integrate automated test suites into CI/CD pipelines to support continuous testing.</li><li>Analyze test results, troubleshoot failures, and provide detailed reports.</li><li>Participate in Agile ceremonies, including sprint planning, daily stand-ups, reviews, and retrospectives.</li><li>Continuously improve automation coverage, framework stability, and testing processes.</li></ul><p>&nbsp;</p><p><b><u>Required Technical Skills</u></b></p><ul><li>Selenium WebDriver</li><li>Automation Framework Development</li><li>Java or Python</li><li>Postman</li><li>REST API Testing</li><li>TestNG / JUnit</li><li>Git</li><li>Jenkins / Azure DevOps</li><li>SQL</li><li>Jira</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b><u>Candidate Profile:</u></b></p><p><b><u>&nbsp;</u></b></p><ul><li>Requirement open to all</li><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>3–6 years of experience in Software Quality Assurance with a strong focus on Automation Testing.</li><li>Hands-on experience with Selenium WebDriver is mandatory.</li><li>Strong experience building and maintaining automation frameworks.</li><li>Proficiency in Java (preferred) or Python for automation scripting.</li><li>Strong experience with Postman for API testing, including REST APIs, request validation, environment management, collections, and automated API test execution.</li><li>Experience with TestNG, JUnit, or similar testing frameworks.</li><li>Good understanding of API concepts, JSON, REST, and HTTP methods.</li><li>Experience with Git and version control systems.</li><li>Familiarity with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions.</li><li>Working knowledge of SQL for database validation.</li><li>Experience using defect tracking tools such as Jira or Azure DevOps.</li><li>Strong understanding of SDLC, STLC, and Agile methodologies.</li></ul><p>&nbsp;</p><p><b><u>We're looking for:</u></b></p><ul><li>Strong automation mindset with excellent problem-solving skills.</li><li>Ability to independently design and execute automation solutions.</li><li>Excellent communication and collaboration skills.</li><li>Passion for delivering high-quality software through automation.</li></ul><p>&nbsp;</p><p><br></p><p><br></p></div>

<p>You will be the analytical engine of the fraud operations team: turning alert, transaction and case data into detection improvements, management information and tuning decisions. You will work under the bank's direction, alongside Capitex L1 and L2 analysts and a senior fraud investigator, and be the bridge between what the operation sees and what the detection estate does.</p><p>WHAT YOU WILL DO - Analyse fraud alert and case data to identify trends, emerging typologies, detection gaps and false-positive drivers. - Support rule and threshold tuning on the bank's fraud monitoring platform - build the evidence base, model the impact, and document proposed changes for the bank's approval. - Design and produce operational MI: alert volumes, disposition outcomes, SLA performance, fraud losses and prevented losses, shift-level throughput. - Build and maintain dashboards and recurring reporting for the fraud operations leadership team. - Support post-incident and thematic reviews with data deep-dives. - Work with L2 and the senior investigator to convert case observations into measurable detection improvements.</p><p><strong>Desired Candidate Profile</strong></p><p>3+ years in data analytics within fraud, financial crime or banking operations. - Strong SQL is essential; Python or R for analysis is a strong plus. - Experience with BI/visualisation tools (Power BI, Tableau or equivalent) and building operational dashboards. - Familiarity with fraud detection platforms and alert data structures (FICO Falcon, Actimize, SAS or equivalent) - enough to interrogate their output and support tuning. - Ability to present analysis clearly to operational and senior stakeholders in English. - Confirmed availability for an August 2026 start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6.</p>

<p>Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.</p><p>Data Center Network Engineers support the Enterprise-class infrastructure of the RCC-SWA. RCC-SWA engineers provide optimization, administration, and technical documentation of all enterprise infrastructure systems. Additionally, engineers resolve and appropriately complete assigned cases and change requests while acting as an escalation point for troubleshooting issues. The core infrastructure technology duties include an in-depth understanding of Cisco s Nexus switching, ASR routing, UCS compute platforms, and lifecycle management planning. The MCF is managed by the RCC-SWA and provides enterprise Information Technology (IT) services to approved Army customers. Program: OMDAC-SWACA</p><p>This position offers company-paid housing and transportation, a completion bonus and tuition reimbursement program!</p><p>You must satisfy all host country requirements to legally work in the host country to include but not limited to the ability to obtain and maintain a host nation visa and host nation driver s license in order to be qualified for this position.</p><p>Responsibilities</p><ul><li>Produce enterprise-level support for a dynamic and large-scale networking infrastructure from the perspective of service origination in the data center, as well as service delivery in the global transport architecture.</li><li>Provide expert level knowledge of data center infrastructure hardware such as Nexus 9000 series switches, Fabric Extenders, UCS chassis and UCS Fabric Interconnects.</li><li>Along with assuming the expert role regarding vPC, FCoE, Catalyst VSS, MPLS L3VPN, eBGP/iBGP, OSPF/EIGRP, DMVPN, FlexPod design philosophy, among other tunneling and data center-centric technologies.</li><li>While also offering a basic understanding of VMware s vSphere infrastructure and the virtual networking components for troubleshooting purposes.</li><li>Installation, configuration, maintenance, and troubleshooting of the data center environment are primary roles in this position.</li><li>Provides change control and engages Cisco TAC for issues, modifications and best practices when needed.</li><li>Monitors availability and reliability of the data center network and supported infrastructure utilizing DX NetOps Spectrum, SolarWinds Orion and Cisco DNA Center.</li><li>Executes engineering best practices in network builds, integration, testing, and documentation while adhering to security fundamentals provided by DISA s Security Technical Implementation Guides (STIGs).</li><li>Perform regular system maintenance in support of IAVA vulnerabilities and CCRI compliance.</li><li>Ensure that all managed technologies are compliant with current DISA Security Technical Implementation Guides (STIGs).</li><li>Assist with identifying and investigating malicious network activity.</li><li>Create and track network issues/requests using the ServiceNow ticketing system.</li><li>Create, update and maintain detailed network diagrams.</li><li>Performs other duties and assignments as required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Requires an active Secret Clearance</li><li>One-year related experience can be substituted for one year of education if the degree is required.</li><li>Bachelor s Degree or equivalent experience preferably in Computer Science or MIS, IS, Engineering or related field.</li><li>This position requires candidates to adhere to DoD 8570.01M. All candidates are required to maintain at least one (1) baseline certification and one (1) computing environment (CE) certification. Baseline certifications cannot also be used as a Computing Environment (CE) certification.</li><li>Python and/or Ansible scripting</li><li>Cisco DevNet</li><li>Working knowledge of Linux</li><li>At least 10 years of practical experience working with network and systems technologies.</li><li>A full understanding of cloud computing and the different pillars that support cloud computing (IaaS, PaaS, SaaS).</li><li>Experience working with Cisco Nexus and cloud technologies.</li><li>Expert level of understanding and experience with data network systems, routing, switching, Virtual Routing and Forwarding (VRF), MPLS, and layer 2 protocols.</li><li>Experience with VPN technologies.</li><li>A solid background with TCP/IP and must be able to troubleshoot all supported network protocols.</li><li>Experience with creating and maintaining custom python scripts.</li><li>Experience working with and maintaining Cisco DNA Center.</li><li>Ability to verify that all systems under the direct control of RCC-SWA are properly configured in accordance with the NETCOM, RCC-SWA and DISA STIG configuration policies.</li><li>Ability to manage asset documentation for accreditation and authorization.</li><li>Ability to assess networking requirements and provide solutions.</li><li>Ability to make accurate and independent decisions under pressure.</li><li>Ability to successfully execute many complex tasks simultaneously.</li><li>Expert ability to troubleshoot infrastructure equipment.</li><li>Excellent organizational, interpersonal, written, and verbal communication skills</li><li>Ability to perform comfortably in a fast-paced, deadline-oriented work environment.</li><li>Ability to successfully execute many complex tasks simultaneously across departmental boundaries.</li><li>Experience with a customer service-oriented company</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>ABOUT THE ENGAGEMENT Capitex is a specialist Financial Crime Compliance talent provider.<br> We are building a fraud operations team for a 6-month staffing engagement with a leading Kuwaiti bank's 24/7 digital fraud operations function.<br> This is a 6-month consultancy engagement with a defined delivery model: the first two months are delivered fully remotely, and from Month 3 the role relocates onsite to the bank's offices in Kuwait City for the remainder of the term.<br> Onsite presence in Kuwait from Month 3 is a firm requirement of the role, not a preference - please only apply if you are genuinely able and willing to relocate for the onsite phase.<br> THE ROLE You will be the analytical engine of the fraud operations team: turning alert, transaction and case data into detection improvements, management information and tuning decisions.<br> You will work under the bank's direction, alongside Capitex L1 and L2 analysts and a senior fraud investigator, and be the bridge between what the operation sees and what the detection estate does.<br> WHAT YOU WILL DO - Analyse fraud alert and case data to identify trends, emerging typologies, detection gaps and false-positive drivers.<br> - Support rule and threshold tuning on the bank's fraud monitoring platform - build the evidence base, model the impact, and document proposed changes for the bank's approval.<br> - Design and produce operational MI: alert volumes, disposition outcomes, SLA performance, fraud losses and prevented losses, shift-level throughput.<br> - Build and maintain dashboards and recurring reporting for the fraud operations leadership team.<br> - Support post-incident and thematic reviews with data deep-dives.<br> - Work with L2 and the senior investigator to convert case observations into measurable detection improvements.<br> ENGAGEMENT DETAILS - 6-month consultancy agreement with Capitex, with extension possible on client renewal.<br> - Competitive all-inclusive monthly consultancy fee, with an additional housing allowance during the onsite phase.<br> - Visa, work authorisation and payroll for the Kuwait onsite phase are arranged and sponsored through our employer-of-record partner.<br> - Laptop (Dell Latitude) provided by Capitex; client systems access configured by the bank.<br> Commencement is aligned to contract mobilisation - indicative start August 2026, confirmed at offer stage WHAT WE ARE LOOKING FOR - 3+ years in data analytics within fraud, financial crime or banking operations.<br> - Strong SQL is essential; Python or R for analysis is a strong plus.<br> - Experience with BI/visualisation tools (Power BI, Tableau or equivalent) and building operational dashboards.<br> - Familiarity with fraud detection platforms and alert data structures (FICO Falcon, Actimize, SAS or equivalent) - enough to interrogate their output and support tuning.<br> - Ability to present analysis clearly to operational and senior stakeholders in English.<br> - Confirmed availability for an August 2026 start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Overview Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. The WAN Engineer is required to be certified at the expert level in multiple disciplines of networks and security (e.g. CCNP/CCIE &amp; CISSP). WAN Engineers performs operation and maintenance (O&amp;M) for the RCC-SWA enterprise network infrastructure. WAN Engineers will ensure stability and provide daily support of a geographically dispersed Wide Area Network Infrastructure and are responsible for design, troubleshooting, optimization, administration, change management and technical documentation. Must have expert knowledge of Cisco routers, switches, VPN devices, and routing protocols. Program: OMDAC-SWACA This position offers company-paid housing and transportation, a completion bonus and tuition reimbursement program! You must satisfy all host country requirements to legally work in the host country to include but not limited to the ability to obtain and maintain a host nation visa and host nation driver’s license in order to be qualified for this position. Responsibilities + Responsible for maintaining and operating routers and switches throughout the Southwest Asia Area of Responsibility. Configures Open Short Path First (OSPF), Enhanced Interior Gateway Routing Protocol (EIGRP), Border Gateway Protocol (BGP), Multi-Protocol BGP (MP-BGP), Dynamic Multipoint Virtual Private Networking (DMVPN), Multi-Protocol Label Switching (MPLS), Virtual Routing and Forwarding (VRF), and Quality of Service (QoS). + Identify problems and troubleshoot DMVPN phases 1-3. + Evaluates network performance and adjusts the network infrastructure hardware and software to include, but not limited to, routers, switches, and network management tools, in order to operate and optimize network performance. + Perform regular system maintenance in support of IAVA vulnerabilities and CCRI compliance. + Perform capacity planning for communications networks carrying data, voice, and video. + Monitors availability and reliability of the WAN and supported infrastructure utilizing DX NetOps Spectrum, SolarWinds Orion and Cisco DNA Center. + Executes engineering best practices in network builds, integration, testing, and documentation while adhering to security fundamentals provided by DISA’s Security Technical Implementation Guides (STIGs). + Ensure that all managed technologies are compliant with current DISA Security Technical Implementation Guides (STIGs). + Assist with identifying and investigating malicious network activity. + Create, update, and maintain detailed network diagrams. + Create and track network issues/requests using the ServiceNow ticketing system. + Performs other duties and assignments as required. Qualifications + Qualifications + Security Clearance: + Requires an active Secret Clearance + Education / Certifications: One-year related experience can be substituted for one year of education if the degree is required. + Associates Degree or equivalent experience preferably in Computer Science or MIS, IS, Engineering or related field. + This position requires candidates to adhere to DoD 8570.01M. All candidates are required to maintain at least one (1) baseline certification and one (1) computing environment (CE) certification. Baseline certifications cannot also be used as a Computing Environment (CE) certification. + The authorized certifications for this job title are listed as follows: + BASELINE: + Cisco: CCNP: Certified Network Professional - Security (Cannot be used as a dual qualifier) + CompTIA: CASP+ ce: Advanced Security Practitioner + CompTIA: SecurityX ce + GIAC: GCED: Certified Enterprise Defender + GIAC: GCIH: Certified Incident Handler + ISACA: CISA: Certified Information Systems Auditor + ISC2: CCSP: Certified Cloud Security Professional + ISC2: CISSP (or Associate): Certified Information Systems Security Professional + COMPUTING ENVIRONMENT (CE): + Cisco: CC-DN-A: Certified DevNet Associate + Cisco: CCIE: Certified Internetwork Expert (Any) + Cisco: CCNP: Certified Network Professional (Any) (Cannot be used as a dual qualifier) + Experience: One year of related academic study above the high school level may be substituted for one year of experience up to a maximum of a 4-year bachelor's degree in a Software Engineering or Business Information Systems discipline for three years general experience. + At least 10 years of practical experience working with network and systems technologies. + A high level of understanding and experience with data network systems, routing, switching, Virtual Routing and Forwarding (VRF), MPLS, and layer 2 protocols. + Experience with VPN technologies. + A solid background with TCP/IP and must be able to troubleshoot all supported network protocols. + Experience with creating and maintaining custom python scripts. + Experience working with and maintaining Cisco DNA Center + Experience with a customer service-oriented company. + Skills &amp; Technology Used: + Ability to verify that all systems under the direct control of RCC-SWA are properly configured in accordance with the Higher Headquarters, Local, and DISA STIG configuration policies. + Ability to manage asset documentation for accreditation and authorization. + Ability to assess networking requirements and provide solutions. + Ability to make accurate and independent decisions under pressure. + Ability to successfully execute many complex tasks simultaneously. + Expert ability to troubleshoot infrastructure equipment. + Excellent organizational, interpersonal, written, and verbal communication skills + Ability to perform comfortably in a fast-paced, deadline-oriented work environment. + Ability to successfully execute many complex tasks simultaneously across departmental boundaries. At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.</p> </div>

<p><span style="font-size: 11px;">Preferred Qualifications and Experience : JOB PURPOSE Job Description: In this role, you'll work collaboratively with software engineering to deploy and operate various systems. Help automate and streamline our operations and processes. Build and maintain tools for deployment, monitoring, and operations. And troubleshoot and resolve issues in our dev, test and production environments. Responsibilities: Communicate efficiently with Developers to resolve Issues on Production, UAT and Dev environments. Help maintain code quality, organization, and automatization. Maintaining, and streamlining our automated build and release pipeline from code. Facilitating and championing the quick resolution of problems found during the daily build and deployment efforts. Creating and maintaining documentation of the build/release process. Investigating tools and processes and integrating them so that they can improve the reliability, stability, and efficiency with which we release our services. Requirements: Strong background in Linux/Unix Administration. Knowledge of Shell Scripting / Ansible. Strong Communication skill via chat and Phone, Must be a team player. Expert skills with Bitbucket/GIT administration, designing GIT based workflow (GITflow/ branching). Should have extensive experience with the CI/CD Tools like Jenkins, Pipelines. Strong Knowledge in Ansistrano. Experience with automation/configuration management using Ansible. Ability to use a wide variety of open source technologies and cloud services (experience with AWS is preferred). Extensive knowledge in Python/Powershell/Bash scripting. Knowledge of best practices and IT operations in an always-up, always-available service. Knowledge of JMeter and other performance measuring tool is preferred. Proactive and self-motivated willing to improve on existing processes to allow for faster iterations. Strong track record of learning new tools and technologies. RHCE Certification is a must. AWS Certification on DevOps will be a plus.</span></p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><h4>Role overview</h4> <p>We are seeking a highly analytical and experienced data scientist - fraud analytics to join our team on a 12-month contract in Kuwait. The successful candidate will be responsible for developing, enhancing, and optimizing fraud detection models and analytics strategies across digital and payment channels.</p> <p>This role will focus on leveraging advanced analytics, machine learning, and statistical techniques to strengthen fraud detection capabilities, reduce losses, and improve customer experience by minimizing false positives.</p> <h4>Key responsibilities</h4> <ul> <li>Develop, validate, and deploy fraud detection models across digital banking and payment systems.</li> <li>Perform advanced data analysis to identify fraud patterns, emerging threats, and behavioural anomalies.</li> <li>Optimize existing fraud detection strategies through model tuning and performance monitoring.</li> <li>Conduct feature engineering and model performance evaluation using appropriate metrics (e.g., precision, recall, AUC, false positive rate).</li> <li>Collaborate with fraud risk, rule writing, and technology teams to translate analytical insights into actionable controls.</li> <li>Support model governance processes including documentation, validation, and regulatory compliance requirements.</li> <li>Analyse large datasets to uncover trends and recommend improvements to fraud prevention strategies.</li> <li>Assist with model implementation, testing (UAT), and post-deployment performance monitoring.</li> <li>Stay current with emerging fraud typologies and advancements in machine learning techniques.</li> </ul> <h4>Required skills & experience</h4> <ul> <li>Proven experience in fraud analytics and model development within banking, fintech, or financial services.</li> <li>Strong knowledge of machine learning techniques (e.g., logistic regression, decision trees, random forests, gradient boosting, neural networks).</li> <li>Hands-on experience with Python, R, or similar analytical programming languages.</li> <li>Strong SQL skills and experience working with large transactional datasets.</li> <li>Understanding of fraud typologies including account takeover, card-not-present fraud, mule accounts, and social engineering.</li> <li>Experience with model performance monitoring and optimisation.</li> <li>Strong analytical thinking and problem-solving skills.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience working within Middle Eastern financial institutions is advantageous.</li> <li>Knowledge of fraud platforms such as FICO, Actimize, Feedzai, Featurespace, or similar is desirable.</li> <li>Familiarity with model risk management and regulatory expectations.</li> <li>Bachelor's or master's degree in data science, statistics, mathematics, computer science, or related discipline.</li> </ul> <h4>What we offer</h4> <ul> <li>Competitive contract package.</li> <li>Opportunity to work on high-impact fraud analytics initiatives.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p> <p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li> <li>Translate business requirements into scalable data science and machine learning solutions</li> <li>Validate data availability and define analytical approaches for new use cases</li> <li>Build predictive models, machine learning solutions, and GenAI applications</li> <li>Design robust data pipelines and analytical workflows</li> <li>Apply data processing, feature engineering, and statistical modelling techniques</li> <li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li> <li>Present analytical findings and recommendations to technical and executive stakeholders</li> <li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li> <li>Mentor junior team members and support technical delivery across multiple initiatives</li> </ul> <h4>You're our match if you have</h4> <ul> <li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li> <li>5+ years of hands-on experience delivering data science or machine learning solutions</li> <li>Strong Python programming skills and experience with modern data science libraries</li> <li>Experience building predictive models, machine learning solutions, and GenAI applications</li> <li>Strong understanding of statistics, data modelling, and feature engineering</li> <li>Experience designing scalable data pipelines and production-ready AI solutions</li> <li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li> <li>Excellent stakeholder management and communication skills</li> <li>Ability to translate complex technical concepts into business value</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Telecommunications or other customer-centric industries</li> <li>Large-scale customer analytics and segmentation</li> <li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li> <li>Cloud platforms such as Azure, AWS, or Google Cloud</li> <li>Databricks, Spark, or distributed data processing</li> <li>Docker, Kubernetes, or CI/CD pipelines</li> <li>Leading or mentoring technical teams</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>