principal data engineer

ATG Entertainment

<p></p><div><div><div><ul><li><h4 class="jobSectionHeader"><b>Salary</b></h4>
<p>Competitive</p>
</li><li><h4 class="jobSectionHeader"><b>Hours</b></h4>
<p>40</p>
</li><li><h4 class="jobSectionHeader"><b>Type</b></h4>
<p>Permanent - Full Time</p>
</li><li><h4 class="jobSectionHeader"><b>Closing Date</b></h4>
<p>04-09-2026 at 23:59</p>
</li><li><h4 class="jobSectionHeader"><b>Location</b></h4>
<p>ATG Entertainment
<br>
London
<br>
Greater London
<br>
WC2H 8AF</p></li><li><br>
<ul><li><p>No Files</p>
</li></ul></li></ul></div><div></div><div><p><b>Data Architect</b></p><br>
<p></p><p>You'll report to the Head of Data, with a dotted line to the IT Director, and work closely with the Principal Data Engineer, the Data Engineering Manager, the Head of Pricing Analytics and the Data Products Manager. You'll also engage directly with commercial, marketing, and finance stakeholders, and with IT, Legal, Infosec and the wider architecture community across ATG Entertainment.</p>
<p>Data is at the centre of how ATG Entertainment runs its business. Our Global Data Platform (GDP), built on Snowflake, centralises ticketing, marketing, financial and operational data. It underpins how we price seats, run marketing campaigns, support our venues, and make strategic decisions across 64 venues in multiple countries.</p>
<p>We're looking for a Data Architect to own the data architecture behind some of our most important commercial decisions: how tickets are priced, where marketing investment goes, how demand is forecast and how shows are traded. You will define the models, definitions, keys, and data contracts those decisions depend on, so that pricing, marketing measurement, forecasting, and trading are built once and run off the same numbers.</p>
<p>You will work towards a single, coherent target state for commercial data: consistent models, definitions and contracts across systems and markets. You will evolve that architecture alongside live delivery, ensuring each design decision either moves ATG towards the target state or is a deliberate, documented exception with a clear path back.</p>
<p>You will design across markets. ATG trades in the UK, the US and Europe, and each market has its own systems, operating models, and regulatory requirements, and adopts common standards at a different pace. You will define the architecture that holds across all of them, and the integration patterns that let regional systems conform to the global model over time.</p>
<p>The breadth of data is wide. It covers consumer and digital data, including web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback. It covers the financial data our commercial models need, including budgets, forecasts, sales, and revenue actuals, which you will architect into commercial data products while Finance remains the owner of Finance reporting. Where enterprise and operational systems hold data that explains ATG's commercial performance, such as event and venue scheduling, retail point of sale and customer service, you will support enterprise and solutions architecture on the data design, so that it can be integrated into the commercial data model to the same standard.</p>
<p>You will design for regulation, security, and cost from the outset. Consumer and marketing data is subject to UK and EU GDPR, PECR and US state privacy laws including California (CCPA/CPRA), so classification, consent, minimisation, retention, deletion, and cross-border transfer are design decisions rather than a final review step. You will work with Legal and Information Security to make compliance a property of the architecture.</p>
<p>We are building towards data that machines can use as reliably as people, starting with GenBI, where commercial users can ask questions in natural language and receive trusted answers. You will design the definitions, models, metadata and contracts that make this possible, together with the access patterns that determine what each consumer can see, at what grain, and how data may be used for recommendation or operational action.</p>
<p>Our Principal Data Engineer owns the technical architecture of the GDP itself and its engineering standards. You own the architecture of the data that moves through it: its models, definitions, keys, metadata and contracts, and the design of the data behind commercial decisions. This is a design, standards, and authority role with strong hands-on architecture. You will set the standard, produce the documentation others build from, review designs against it, and provide architecture assurance before engineering build begins.</p><br>
<p></p><p><b>Key responsibilities</b></p>
<ul><li><p>Own and maintain the target data architecture for ATG's commercial data, including the transition from current to target state.</p>
</li></ul><ul><li><p>Define common business entities, definitions, hierarchies, and keys, so commercial products carry consistent meaning across markets and source systems.</p>
</li></ul><ul><li><p>Architect the data behind pricing, revenue management, marketing measurement, forecasting and trading, including model inputs and outputs, and how decisions and outcomes are recorded and measured.</p>
</li></ul><ul><li><p>Design the consumer and digital data model spanning web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback, keyed so that behaviour, marketing investment, and sales can be joined.</p>
</li></ul><ul><li><p>Architect the financial data commercial models need, including budgets, forecasts, sales, and revenue actuals, working with Finance and maintaining clear ownership boundaries for Finance reporting.</p>
</li></ul><ul><li><p>Define and govern data contracts for integrations with the GDP and other agreed priority systems, covering ownership, fields, keys, formats, quality expectations, refresh, and change management.</p>
</li></ul><ul><li><p>Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read and write-back.</p>
</li></ul><ul><li><p>Embed data protection and security into the architecture, including consent, retention, minimisation, and cross-border requirements across ATG markets.</p>
</li></ul><ul><li><p>Produce and maintain conceptual and logical data models, data flows, lineage, architecture decision records and reusable design patterns, documented at the level needed by both engineering teams and commercial stakeholders.</p>
</li></ul><ul><li><p>Support enterprise and solutions architecture where operational or enterprise systems provide data needed for commercial decision-making, ensuring it integrates into the commercial model to the required standard.</p>
</li></ul><ul><li><p>Design how each market and new system conforms to the common data standard, while making the cost implications of design options visible so choices are made commercially.</p>
</li></ul><ul><li><p>Provide architecture assurance across delivery: review designs, challenge where needed, approve designs for build, and represent Data in cross-team architecture forums.</p><br>
</li></ul><p></p><p><b>Your skills, qualities, and experience</b></p><br>
<p></p><p><b>Leadership Qualities</b></p>
<ul><li><p>Self-directed and proactive &mdash; you identify problems, drive work forward and communicate progress without being prompted.</p>
</li></ul><ul><li><p>Comfortable operating as a senior individual contributor, leading through expertise and influence rather than hierarchy.</p>
</li></ul><ul><li><p>Able to set and uphold standards under delivery pressure without becoming a bottleneck.</p>
</li></ul><ul><li><p>Able to influence teams and stakeholders across organisational boundaries.</p>
</li></ul><ul><li><p>Able to explain architecture decisions to commercial leaders in terms of what they enable, constrain and cost.</p>
</li></ul><p><b>Technical Expertise</b></p>
<ul><li><p>Strong conceptual, logical, and physical data modelling, including dimensional and event-based approaches over high-volume transactional data.</p>
</li></ul><ul><li><p>Modern cloud data platforms and ELT patterns, with sufficient depth in warehouse, lake and lakehouse architectures to review and challenge platform designs.</p>
</li></ul><ul><li><p>Integration design across API, event, streaming and batch patterns, and the data contracts that govern them.</p>
</li></ul><ul><li><p>Practical proficiency in SQL, Python, and transformation tooling such as dbt, sufficient to prototype and review what engineering teams build.</p>
</li></ul><ul><li><p>AI-fluent, with practical experience of AI tooling and an understanding of machine-readable definitions, agent access patterns, and Model Context Protocol (MCP) over structured data.</p>
</li></ul><p><b>Essential</b></p>
<ul><li><p>Hands-on design of data for commercial decisioning, including pricing or revenue management and marketing measurement, with deep capability in at least one and strong exposure to the other.</p>
</li></ul><ul><li><p>Strong data architecture in a commercial environment where data directly informs revenue and trading decisions, not just reporting.</p>
</li></ul><ul><li><p>Consumer, digital and transactional data at scale, including strong web and app analytics architecture with hands-on GA4 experience, connecting customer behaviour, marketing investment, and sales outcomes.
</p></li></ul><ul><li><p>Common definitions, entities, and keys established across multiple source systems and teams, including where systems cannot fully conform.</p>
</li></ul><ul><li><p>Data contract design and governance across both data-producing and data-consuming teams.</p>
</li></ul><ul><li><p>Data design for ML, AI or automated decisioning, including feature and serving data patterns, point-in-time correctness, controlled access, and capture of decisions and outcomes.</p>
</li></ul><ul><li><p>Privacy and security by design across more than one jurisdiction, treated as architectural constraints from the outset.</p>
</li></ul><ul><li><p>Multi-market or multi-region architecture across differing systems, currencies, languages, and regulatory requirements.</p>
</li></ul><ul><li><p>Architecture practice across a complex technology estate, including current and target state views, architecture decision records, and reusable design patterns, with the ability to influence teams and uphold standards across organisational boundaries.</p><br>
</li></ul><p></p><p><b>Desirable</b></p>
<ul><li><p>Live entertainment, ticketing, travel, hospitality, retail, or another business where price, demand and inventory interact dynamically.</p>
</li></ul><ul><li><p>Customer data platforms, identity resolution, consent and preference management, mobile measurement platforms, and paid, affiliate or social advertising data.</p>
</li></ul><ul><li><p>Enterprise application and integration architecture alongside a data platform.</p>
</li></ul><ul><li><p>Operational and venue systems, including point of sale, event and venue scheduling, and work management platforms.</p>
</li></ul><ul><li><p>Experimentation, model monitoring, and feedback-loop design.</p>
</li></ul><ul><li><p>Platform migration or estate consolidation.</p>
</li></ul><ul><li><p>Snowflake and AWS, with exposure to model development or serving environments such as SageMaker or Snowflake Cortex.</p><br>
</li></ul><p></p><p><b>About Us</b></p><br>
<p></p><p><b>Our values</b></p>
<p>ATG Entertainment&rsquo;s values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation.</p><br>
<p></p><ul><li><p>THRIVE doing what we love (with passion and dynamism)</p><br>
</li></ul><br>
<p></p><h4 class="jobSectionHeader"><b>Closing Date</b></h4>
<p>04-09-2026 at 23:59</p></div></div></div><p></p>

Data Architect

Tandem Search

<div>
 <p>
  Principal Computer Vision &amp; AI Engineer
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Al Khobar, Saudi Arabia
 </p>
 <p>
  <br/>
 </p>
 <p>
  Role Overview
 </p>
 <p>
  We are looking for a highly experienced
  <strong>
   Principal Computer Vision &amp; AI Engineer
  </strong>
  to lead the technical direction of production AI systems operating over
  <strong>
   live video streams in real-world environments
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on technical leadership role rather than a people-management position. You will architect, build, optimise and deploy advanced
  <strong>
   computer vision, video understanding and multimodal/Vision-Language Model (VLM)
  </strong>
  systems while providing technical direction to senior engineers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Architect and build production
   <strong>
    computer vision and video analytics systems
   </strong>
   .
  </li>
  <li>
   Develop solutions across
   <strong>
    object detection, segmentation, tracking, event understanding and spatial reasoning
   </strong>
   .
  </li>
  <li>
   Design and deploy
   <strong>
    VLM/multimodal AI systems
   </strong>
   operating over live and recorded video.
  </li>
  <li>
   Own the full ML lifecycle: data strategy, experimentation, fine-tuning, evaluation, deployment and monitoring.
  </li>
  <li>
   Optimise models for
   <strong>
    edge and cloud inference
   </strong>
   , balancing accuracy, latency, throughput and cost.
  </li>
  <li>
   Establish automated model evaluation, regression testing and production monitoring.
  </li>
  <li>
   Develop agentic AI systems capable of reasoning over video and interacting safely with tools, APIs, cameras and sensors.
  </li>
  <li>
   Set technical architecture and engineering standards while remaining highly hands-on with code.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  What We're Looking For
 </p>
 <ul>
  <li>
   Deep hands-on experience in
   <strong>
    Computer Vision / Video AI
   </strong>
   .
  </li>
  <li>
   Strong production experience working with
   <strong>
    live or streaming video
   </strong>
   .
  </li>
  <li>
   Strong
   <strong>
    PyTorch and/or TensorFlow
   </strong>
   experience.
  </li>
  <li>
   Expertise across detection, segmentation and tracking using technologies such as
   <strong>
    YOLO, DETR/RT-DETR, GroundingDINO or equivalent
   </strong>
   .
  </li>
  <li>
   Production experience with
   <strong>
    Vision-Language Models / multimodal models
   </strong>
   such as Qwen-VL, InternVL, LLaVA, Gemini or equivalent.
  </li>
  <li>
   Experience deploying and optimising AI models in production.
  </li>
  <li>
   Exposure to
   <strong>
    edge AI
   </strong>
   , ideally TensorRT, ONNX Runtime, NVIDIA Jetson or similar.
  </li>
  <li>
   Strong understanding of model evaluation, MLOps, active learning and production monitoring.
  </li>
  <li>
   Ability to operate as a
   <strong>
    Principal/Staff-level technical authority
   </strong>
   while remaining hands-on.
  </li>
 </ul>
 <p>
  Nice to Have
 </p>
 <ul>
  <li>
   Agentic AI / tool-calling systems such as LangGraph, LangChain or equivalent.
  </li>
  <li>
   Real-time CCTV, camera or video-streaming systems.
  </li>
  <li>
   Industrial, construction, robotics, autonomous systems or safety-critical AI experience.
  </li>
  <li>
   RAG / multimodal retrieval and vector search.
  </li>
  <li>
   Self-hosted VLM/LLM serving such as vLLM or NIM.
  </li>
 </ul>
 <p>
  <strong>
   Critical requirement:
  </strong>
  Candidates must have substantial hands-on experience with
  <strong>
   video-based computer vision systems
  </strong>
  . Pure GenAI/LLM profiles without strong production video/CV experience will not be suitable.
 </p>
</div>


Principal AI Engineer

TripleTen

<div><p>TripleTen is a career learning platform for tech professionals and complete beginners ready to move into higher-paying tech and AI roles. We launched in 2020, we run programs across the US and Latin America, and 7,500+ people worldwide have completed one. Our team is fully remote and globally distributed.</p><p>
In 2026 we opened a second tier of programs for people already working in tech: AI Systems Engineering, AI &amp; Machine Learning, and Forward Deployed Engineering. Same platform, different bar.</p><p></p><p><br>
We're launching three advanced engineering programs for working mid/senior engineers, and we're looking for a small number of Industry Experts to set the technical bar in each of them.</p><p>
This is not a teaching or content-authoring role. The curriculum is built by a separate team of senior authors. What we need from you is judgment: the kind of call a Staff or Principal engineer makes when they look at a design and know, in thirty seconds, that the service split is wrong, the eval is measuring the wrong thing, or the scope will not survive contact with a client.</p><p>
Our students design and defend real systems. Your role is to challenge those decisions the way you'd challenge a peer's &mdash; and to be the name that tells an experienced engineer this program is worth their time.</p><br>
Requirements:
<br>
<ul><li><b>﻿8+ years of professional engineering experience</b>, currently at senior/staff/principal level or equivalent (Staff/Principal Engineer, Senior/Staff ML Engineer, Solutions Architect, Forward Deployed Engineer, technical lead).</li><li><b>
You've shipped systems that run in production at real scale</b>, as an employee in an engineering role &mdash; not coursework, not side projects, not a slide deck about someone else's platform.</li><li><b>
You can explain </b><b><i>why</i></b><b> a decision was made, not just </b><b><i>how</i></b><b> it was implemented</b> &mdash; and diagnose and critique someone else's architecture live, on a call, without preparation.</li><li><b>
A public technical footprint:</b> GitHub, conference talks, a book or O'Reilly/Manning title, a technical blog, open-source work, or documented mentorship.</li><li><b>
Strong English (C1+).</b> Sessions and written reviews are in English for a US-based audience.</li><li><b>
Time zone:</b> Americas strongly preferred (US / Canada / LatAm). Defenses are booked in advance, so some flexibility exists &mdash; but sessions land in US afternoon and evening hours.</li><li><b>
Comfortable using AI tools in day-to-day technical work.</b></li></ul><p></p><p><b><br>
Domain depth &mdash; one of three tracks</b></p><p>
You don't need all three. Tell us which one is yours.</p><p><b>
AI/ML Engineering.</b> Agentic systems and orchestration (LangChain, LangGraph, CrewAI, ADK), agent reliability and guardrails, MCP; LLM evals &mdash; eval harnesses, LLM-as-judge, hallucination metrics; applied fine-tuning (SFT/LoRA/PEFT); LLM observability, A/B experiment design, model serving and inference cost.</p><p><b>
AI Systems Engineering.</b> System and API design, service architecture, cloud and infrastructure (AWS, Kubernetes, Terraform, CI/CD), distributed systems, observability and incident response &mdash; plus LLM-powered systems in production: RAG, model serving, fallback paths, cost control.</p><p><b>
Forward Deployed Engineering.</b> End-to-end ownership of deployments in real client or enterprise environments: discovery and scoping under ambiguity, stakeholder management without formal authority, integration with enterprise systems, rollout and adoption &mdash; on top of LLM and agent systems in production, RAG over enterprise data, and APIs/integrations.</p><p></p><p><b><br>
Nice to have</b></p><ul><li>
You've already run technical sessions in some form: internal tech talks, conference workshops, engineer onboarding, or mentoring.</li><li>
Hands-on ownership of an eval or observability stack in production, not just usage of one.</li><li>
Experience being the primary technical resource embedded with a customer team (for the FDE track).</li></ul><br>
Brand:
<br>
TripleTen<br>
<br>
What you will do:<br>
<br>
<p>Each program is a chain of five production-level projects, and every project ends in a live defense.</p><ul><li><b>
Sit on final project defenses.</b> Review a deployed system, a distributed-systems capstone, an agentic architecture, or a client-facing delivery package against the rubric &mdash; then run the defense and give structured, senior-level critique.</li><li><b>
Chair mock review boards and executive-panel presentations.</b> Architecture review boards, model and system reviews, exec go/no-go presentations, depending on the program.</li><li><b>
Host one or two live sessions a month</b> on the design and decision layer of your domain: where systems split, how they fail, which tradeoff to make and why.</li><li><b>
Set the technical standard</b> for the instructors running weekly delivery, and act as their escalation point on the hard design calls.</li></ul><p>
You are not on the hook for weekly coverage, office hours rotations, or first-line questions. A separate team handles that.</p><p></p><p><b><br>
﻿</b><b>Who you'd be reviewing</b></p><p>
Working engineers and tech professionals, not complete beginners. Middle or senior developers, platform and data engineers, network and infrastructure people, security and incident-response specialists. A few are between jobs and moving fast. Most have hit a ceiling where they are and want the next step: designing and owning production AI systems instead of shipping features around them.</p><p>
Most of them study around a full-time job, they opened your GitHub before the syllabus, and they can tell rehearsed feedback from the real thing.</p><br>
What we can offer you:
<br>
<ul><li><b>Your name and profile featured as an Industry Expert</b> on the program page.</li><li><b>
A network of engineers from other companies. </b>The other instructors/industry experts come from engineering teams US engineers recognize, and you'll be working alongside them.</li><li><b>
First look at senior talent. </b>You watch experienced engineers defend real systems under pressure, so you leave the cohort knowing who you'd hire.</li><li><b>
Personal brand, with proof behind it.</b> Your profile on the program page, plus an Industry Expert line for your own bio and talks. It's also the kind of external technical credit that counts in a promotion packet or an O-1 petition.</li><li><b>
A genuinely small commitment.</b> 4&ndash;10 hours a month, slots booked about two weeks ahead, pausable at any time.</li><li><b>
Hourly payment</b>, negotiable depending on experience, track, and scope.</li><li><b>
Fully remote</b>, with a small international team and no micromanaging.</li></ul></div>

AI Systems & ML Engineering Industry Expert

Cognite - AI for Industry

<p></p><div><div><h1 class="jobSectionHeader"><b>What Cognite is:</b><b> </b><b>Relentless</b><b> </b><b>to achieve</b></h1>
<p></p>
<p>Cognite operates at the forefront of <b>industrial digitalization, building AI</b>, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.</p>
<p>
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.</p>
<p>
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</p></div><p></p><div><br>
<h2 class="jobSectionHeader"><b>
Principal Pre-Sales Solutions Consultant (Oil &amp;Gas)/ Principal Field Engineer</b><br>
<br>
<b>How You'll Demonstrate Ownership</b></h2>
<p>
The Principal Field Engineer leads the technical relationship as a customer land from initial validation and into broader expansion adoption. This role serves as a technical leader who acts as a crucial bridge between customers, sales teams, and the product organization to drive mutual business value and ensure solution integrity.</p>
<h3 class="jobSectionHeader"><b>
1. Client Engagement and Solution Development</b></h3>
<ul><li>Act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps. You will move clients from high-level strategy to live, functioning versions of Cognite's solutions through <b>Fast AI Prototyping</b> via <b>Cognite Atlas AI&trade;</b> and <b>Cognite Data Fusion&reg;</b>.</li>
<li><b>Agentic Solution Development:</b> Lead the design and implementation of first-of-their-kind industrial agents and AI driven applications. You will leverage the <b>Atlas AI</b> workbench and <b>Cognite Flows</b> to automate complex industrial workflows, ensuring solutions are technically feasible, scalable, and grounded in the contextualized data foundation of our <b>Industrial Knowledge Graph</b>.</li>
<li><b>Client Engagement &amp; Moving Strategy to Reality:</b> Partner with Account Executives to prioritize strategic opportunities and act as the technical lead for complex engagements. You will move clients from high-level strategy to live, functioning versions of Cognite's solutions through <b>Fast AI Prototyping</b> via <b>Cognite Atlas AI&trade;</b> and <b>Cognite Data Fusion&reg;</b>.</li>
<li>Develop scalable, repeatable solutions adapted to specific client requirements in collaboration with internal technical teams.</li>
</ul><h3 class="jobSectionHeader"><b>2. Client Education and Technical Representation</b></h3>
<ul><li>Educate clients on Cognite Data Fusion&reg; and related offerings to support successful adoption, solution integration, and value realization.</li>
<li>Develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.</li>
<li>Represent Cognite in client meetings, workshops, and technical briefings, demonstrating technical expertise and building client confidence.</li></ul><br>
<br>
<h3 class="jobSectionHeader"><b>3. Internal Collaboration and Product Alignment</b></h3>
<ul><li>Act as a bridge between clients and Cognite's Product organization, translating client feedback and needs into clear, actionable product requirements.</li>
<li>Ensure client-integrated solutions are technically feasible, scalable, and aligned with Cognite's broader product strategy.</li>
<li>Provide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.</li>
</ul><h3 class="jobSectionHeader"><b>4. Sales and Field Engineering Enablement</b></h3>
<ul><li>Partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.</li>
<li>Serve as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.</li>
<li>Organize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.</li>
</ul><h3 class="jobSectionHeader"><b>5. Technical Leadership and Best Practices</b></h3>
<ul><li>Develop and promote best practices, frameworks, and reference architectures to strengthen Cognite's position as a leader in client-focused industrial solutions.</li>
<li>Mentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.</li>
<li>Share insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.</li></ul><br>
</div>
<div></div><div><h1 class="jobSectionHeader"><b>The </b><b>Impact</b><b> you bring to Cognite</b></h1>
</div>
<div></div><div><ul><li>Expertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.</li>
<li>Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.</li>
<li>Strong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.</li>
<li>Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance &mdash; particularly in cloud and hybrid environments.</li>
<li>Demonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.</li>
<li>Experience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.</li>
<li>Strong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience Requirements</b></h2>
<div>
<div><div><div><p><b>Requirement Type</b></p></div><div><b><br>
</b><p><b>
Description</b></p></div></div></div><br>
<p></p>
<div>
<div><div><p><b>Required Qualifications</b></p></div><div><br>
<p>
Extensive experience (7+ years) in solution architecture, field engineering, or technical presales roles, ideally in enterprise SaaS, cloud platforms, or industrial software. Experience in Python.</p></div></div><div><br>
<div>
<p><b>Preferred Experience</b></p></div><div><br>
<p>
Education or experience in the energy space (e.g., petroleum engineering, chemical engineering, mechanical engineering, control system engineering).</p></div></div></div></div><br>
<p></p>
</div><div></div><div>
<div></div><div><b>Learn more about us</b></div><br>
<div></div>
<div></div>
<div></div><div><ul><li>Impact 2025</li>
<li>Cognite's Industrial AI: Moonshot</li>
<li>We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.</li></ul><br>
</div>
<div></div><div><b><i>Equal Opportunity</i></b></div>
<div><i>Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.</i></div></div></div>

Principal Pre-Sales Solutions Consultant (Oil &Gas) - UAE

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Secret</div>
</div><div></div><div>Category
<div>IT Infrastructure and Operations</div>
</div><div></div><div>Location
<div>Fort Meade, Maryland</div>
<i>(</i><i>Hybrid Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Cloud Based Services</p>
</div><div><p>DISA STIG</p>
</div><div><p>Microsoft Windows</p>
</div><div><p>Vulnerability Mitigation</p>
</div><div><p>Windows Azure Cloud</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ227278</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p>SYSTEMS ENGINEER PRINCIPAL</p>
<p></p><p>General Dynamics Information Technology (GDIT) is seeking a Systems Engineer Sr Principal with a strong cyber and vulnerability management background to support a mission-critical environment. This role will focus on end-to-end vulnerability management, including patching, STIG implementation, and sustainment of virtual machines, network devices, and containers in highly secure environments.</p>
<p></p><p>As a senior principal systems engineer, you will apply deep expertise in security configuration baselines, vulnerability assessment tooling, and remediation strategies to reduce risk and improve the security posture of enterprise systems.</p>
<p></p><p>This is hybrid position and requires regular on-site support and remote work.</p>
Responsibilities
<ul><li>Lead the design, implementation, and optimization of vulnerability management and patching strategies for virtualized infrastructures, network devices, and containerized workloads.</li>
<li>Interpret and implement DoD/DISA STIGs, CIS benchmarks, and other security baselines across operating systems, applications, networks, and container platforms.</li>
<li>Own the lifecycle of patch management (assessment, planning, testing, deployment, and verification) to ensure timely and compliant remediation of vulnerabilities.</li>
<li>Maintain and harden virtual machine environments (e.g., cloud-native VMs), ensuring availability, performance, and security.</li>
<li>Configure and maintain network devices (e.g., routers, switches, firewalls) in accordance with security policies, STIGs, and best practices.</li>
<li>Deploy and maintain container platforms (e.g., Docker, Kubernetes/OpenShift) with a focus on secure configuration, image scanning, and vulnerability remediation.</li>
<li>Integrate and leverage vulnerability scanning tools (e.g., Tenable, Qualys, Rapid7, ACAS) and configuration/compliance tools to identify, track, and remediate findings.</li>
<li>Collaborate with cross-functional teams (cybersecurity, network engineering, systems administration, DevSecOps) to ensure cohesive and secure designs and operations.</li>
<li>Participate in incident response and root cause analysis related to vulnerabilities, misconfigurations, and system security issues, driving corrective and preventive actions.</li>
<li>Ensure solutions meet applicable contractual, regulatory, and compliance requirements (e.g., DoD directives, RMF/ATO, NIST SP 800-53).</li>
</ul>Required Qualifications
<ul><li>Active DoD Security Clearance of SECRET, or higher</li>
<li>8+ years of relevant systems engineering experience, including work in secure or mission-critical environments.</li>
<li>Compliance with DoD 8570/8140 requirements (e.g., CCSP, Security+ CE, CISSP, Security X/CASP+, or equivalent baseline certification).</li>
<li>Demonstrated experience leading vulnerability management and patching activities across complex, multi-platform environments.</li>
<li>Experience with Microsoft Azure Cloud services such as virtual machines, storage, resource manager, etc.</li>
<li>Experience with implementing PKI and PIV standards, Active Directory or LDAP</li>
<li>Experience with Group Policy Objects and management</li>
<li>Hands-on experience implementing STIGs and security baselines for:
<ul><li>Operating systems (e.g., Windows Server, RHEL Linux, Ubuntu)</li>
<li>Network devices (e.g., Cisco, Juniper, firewalls)</li>
<li>Virtualization platforms and/or container platforms</li>
</ul></li><li>Experience maintaining and securing virtual machine infrastructures (e.g. cloud-based VMs).</li>
<li>Experience supporting network infrastructure including configuration, hardening, and troubleshooting of routers, switches, and firewalls.</li>
<li>Experience deploying and maintaining container-based environments (e.g., Docker, Kubernetes) with an emphasis on secure configuration and image management.</li>
<li>Expertise with vulnerability scanning and compliance tools (e.g., Tenable.sc/Nessus ACAS or similar), including interpreting results and driving remediation.</li>
<li>Proficiency with automation and scripting (e.g., Ansible, PowerShell, Python, Bash) for patching, configuration management, and reporting.</li>
<li>Strong understanding of networking fundamentals (TCP/IP, routing, witching, DNS, DHCP, VLANs, VPNs) and how they intersect with security best practices.</li>
<li>Solid understanding of cybersecurity principles, controls, and frameworks, such as NIST, RMF, and defense-in-depth strategies</li>
<li>Strong written and verbal communication skills, including the ability to translate technical risk and remediation plans into language stakeholders understand.</li>
<li>Demonstrated ability to work collaboratively across engineering, cybersecurity, operations, and customer teams.</li>
</ul>Desired Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Cybersecurity, or related field;</li>
</ul><ul><li>Experience in Microsoft Azure Cloud security implementations</li>
</ul><ul><li>Familiarity with NIST 800-207 Zero Trust Architecture</li>
</ul><ul><li>Familiarity with NIST 800-144 Guidelines on Security and Privacy in Public Cloud Computing</li>
</ul></div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>8 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
<p>CompTIA SecurityX CE | CompTIA - CompTIA</p>
<p>Certified Information Systems Security Professional (CISSP) | International Information System Security Certification Consortium (ISC2) - International Information System Security Certification Consortium (ISC2)</p>
<p>Certified Cloud Security Professional (CCSP) | International Information System Security Certification Consortium (ISC2) - International Information System Security Certification Consortium (ISC2)</p>
<p>CompTIA Security+ CE | CompTIA - CompTIA</p>
</div><div></div><div>Travel Required
<p>25-50%</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $133,450 - $180,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

System Engineer Sr Principal

ClearSky Logic

<p><b>Principal Eng</b></p><p>About Us</p><p>At ClearSky, we are The Tech Enabler. We unlock exponential business growth by taking complex technical challenges and turning them into simple, high-performance digital solutions. Our engineering teams do incredible work in bespoke software and AI. We believe in building solid software. We are looking for a talented Principal Engineer to champion engineering excellence.</p><p>Role Details</p><ul><li><b>Location:</b> Edinburgh - 4 Queen Street - Hybrid (3 days on site):</li><li><b>Salary:</b> Up 75K plus to 10% company bonus</li><li><b>Please note:</b> We are unable to offer sponsorship.</li></ul><p>How We Support Our Team</p><ul><li><b>34 days' holiday</b> - because work-life balance matters.</li><li><b>Birthday off</b> - no one should work on their special day.</li><li><b>Health and Security</b> - Sick pay, private dental &amp; medical insurance - we've got your health covered.</li><li><b>Family First</b> - Enhanced family-friendly policies.</li><li><b>Growth Path</b> - Tailored professional development - we support your growth so you can become the expert you're meant to be.</li><li><b>Culture Matters</b> - Office perks &amp; team celebrations.</li></ul><p>Your Mission</p><p>As a Principal Engineer, you won't just write exceptional code; you'll be a deep technical expert across our Hub, working alongside our other senior engineers to push what's technically possible. You're the same level as our Tech Leads, but your focus is purely technical craft rather than people management. You'll have a home squad, but your impact won't stop there &mdash; expect to bring your expertise to other squads as the Hub needs it, raising the bar on how we design and build software. Your mission is to empower our engineering squads to build brilliant, scalable digital products.</p><p><i>What You'll Be Doing</i></p><p><b>Technical Strategy &amp; Architecture:</b> Demonstrate mastery of core technologies and oversee high-level design challenges across squads in the Hub, ensuring alignment with client needs. You'll have a home squad, with focused time spent supporting others as technical needs arise.</p><p><b>Leadership &amp; Mentorship:</b> Guide developers across the Hub, and collaborate with Tech Leads to support professional growth and foster a collaborative culture.</p><p><b>AI Advancement:</b> Lead the adoption of AI engineering practices across the Hub</p><p><b>Knowledge Sharing:</b> Drive appropriate documentation standards and lead technical discussions, guilds, and forums with the rest of the senior engineering team.</p><p><b>Risk Management:</b> Tackle complex technical challenges across multiple squads, breaking them into actionable steps while mitigating risk at the Hub level.</p><p><i>What You Bring to the Table</i></p><ul><li><b>Must-Haves:</b> Deep mastery of C# &amp; .Net, SQL database design, Solution Architecture experience, Cloud infrastructure (ideally Azure), and experience using AI coding tools.</li><li><b>Nice-to-Haves:</b> Deployment pipelines, identity management, front-end or mobile experience, and AI integration design.</li></ul><p>Leadership &amp; Approach</p><ul><li><b>Proven Track Record:</b> Experience leading complex technical initiatives, setting engineering standards, and proactively managing risks.</li><li><b>Collaborative Mindset:</b> A self-starter who values sharing knowledge to help engineers &quot;level up&quot;, incorporates feedback into strategies, and balances advanced initiatives with pragmatic client needs.</li><li><b>Mature AI Understanding:</b> You know when and how to apply AI safely, how to manage its associated risks, and when it is not the right tool for the job.</li></ul><p><i>Why You'll Love It Here:</i></p><p>You'll join a team that values quality, creativity, and autonomy. We're building a place where we can all thrive and become the best at what we do.</p><p>Pay: Up to &pound;75,000.00 per year</p><p>Application question(s):</p><ul><li>How many times a week are you willing to travel to Edinburgh? </li><li>Do you currently, or will you in the future, require visa sponsorship to work in the UK?</li><li>Do you have professional, production-level experience designing and building applications using C# and .NET?</li></ul><p>Work authorisation:</p><ul><li>United Kingdom (required)</li></ul><p>Work Location: Hybrid remote in Edinburgh EH2 1JE</p>

Principal Software Engineer

And Digital

<div><p><b>Principal AI Engineer - Microsoft Azure AI Foundry</b></p><p><b>
12 Month Contract</b></p><p></p><p><b>
Who We Are</b></p><p>
We&rsquo;re on a mission to close the world&rsquo;s tech skills gap.</p><p>
We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster.</p><p>
Since 2014, we&rsquo;ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology.</p><p>
That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers.</p><p>
Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world.</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking an experienced Principal AI Engineer to architect and deliver an enterprise-grade Microsoft Azure AI Foundry platform. The role will establish the foundational architecture, governance, security, scalability and cost-management capabilities required to support production AI and agentic workflows across the organisation.</p><p>
You will operate at a senior technical level, working across Azure infrastructure, AI platform engineering, security, MLOps, FinOps and AI engineering teams to create a secure, scalable and reusable AI platform.</p><p>
The successful candidate will combine deep Azure architecture expertise with hands-on experience of enterprise AI platforms and will play a key role in defining the technical standards and patterns for AI adoption.</p><p><b>
Key Responsibilities</b></p><p><b>
Platform Architecture</b></p><ul><li>
Architect and design scalable, resilient Azure AI Foundry environments aligned to enterprise cloud architecture and Azure Landing Zone principles.</li><li>
Design the integration of Azure AI Foundry with Azure OpenAI Service, model catalogues, prompt flows, AI Search, vector databases and custom AI tooling.</li><li>
Define reusable architecture patterns for AI workloads, including development, testing and production environments.</li><li>
Establish platform standards covering resource structure, environments, deployment patterns, observability and operational management.</li><li>
Work closely with AI Engineers to design and deliver AI Agents and agentic workflows that meet business and technical requirements.</li></ul><p><b>
Governance, Risk &amp; Compliance</b></p><ul><li>
Establish enterprise governance frameworks for AI workloads across Azure.</li><li>
Define and implement Azure Policy, RBAC, resource controls and access-management standards.</li><li>
Implement content safety and responsible-AI guardrails across AI workloads.</li><li>
Establish model and prompt evaluation frameworks to support quality, safety and performance assessment.</li><li>
Ensure comprehensive audit logging, monitoring and traceability across AI platform components.</li><li>
Contribute to organisational standards for AI security, governance and responsible AI adoption.</li></ul><p><b>
Security &amp; Networking</b></p><ul><li>
Design secure Azure AI architectures covering both control-plane and data-plane security.</li><li>
Implement Private Endpoints, VNets, Managed Identities and Microsoft Entra ID to secure AI services and associated data.</li><li>
Apply zero-trust principles to AI workloads, APIs, data sources and platform services.</li><li>
Define identity, authentication and authorisation patterns for AI applications, agents and platform users.</li><li>
Ensure AI services are integrated into existing enterprise security and networking architectures.</li></ul><p><b>
Scale, Resilience &amp; Performance</b></p><ul><li>
Design resilient, highly available and, where required, multi-region AI deployment architectures.</li><li>
Manage Azure OpenAI and AI platform capacity, including API rate limits, quotas and Provisioned Throughput Units (PTUs).</li><li>
Design architectures optimised for low-latency inference and reliable production workloads.</li><li>
Establish performance monitoring, capacity planning and scaling strategies.</li><li>
Define disaster recovery and business continuity patterns for critical AI services.</li></ul><p><b>
Cost Management &amp; FinOps</b></p><ul><li>
Establish cost-management frameworks for enterprise AI workloads.</li><li>
Implement chargeback/showback models, resource tagging and cost allocation strategies.</li><li>
Monitor and optimise AI consumption, including token usage and model utilisation.</li><li>
Establish budgets, alerts, quotas and resource controls to manage consumption-based AI costs.</li><li>
Work with engineering and finance stakeholders to identify opportunities to optimise AI platform expenditure without compromising performance or service quality.</li></ul><p><b>
MLOps, Automation &amp; Platform Engineering</b></p><ul><li>
Design and implement automated deployment pipelines for AI platform components and workloads.</li><li>
Establish CI/CD processes using Azure DevOps and/or GitHub Actions.</li><li>
Automate infrastructure provisioning and configuration using Bicep, Terraform or ARM templates.</li><li>
Build automated processes for prompt-flow evaluation, model deployment, testing and release management.</li><li>
Establish platform observability covering availability, performance, usage, cost and AI workload health.</li></ul><p></p><p><b>
Experience</b></p><ul><li>
5+ years' experience in Azure cloud architecture, engineering or platform engineering.</li><li>
1&ndash;2+ years' experience specifically focused on enterprise AI/ML platform engineering.</li><li>
Proven experience working on large-scale or enterprise Azure environments.</li><li>
Experience operating at Principal, Lead, Staff or equivalent senior technical level.</li><li>
Strong track record of translating business and technical requirements into enterprise architecture.</li><li>
Experience working collaboratively with AI Engineers, Cloud Engineers, Security, DevOps and Architecture teams.</li></ul><p><b>
Certifications &ndash; Preferred</b></p><p>
One or more of the following certifications would be advantageous:</p><ul><li>
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)</li><li>
Microsoft Certified: Azure AI Engineer Associate (AI-102)</li></ul><p></p><p><b>
Key Competencies</b></p><p>
The successful candidate will demonstrate:</p><ul><li>
Exceptional Azure architecture and technical leadership skills.</li><li>
Strong understanding of enterprise security and cloud governance.</li><li>
Ability to translate emerging AI capabilities into production-ready enterprise architectures.</li><li>
Hands-on engineering capability alongside strategic architectural thinking.</li><li>
Strong understanding of AI platform scalability, reliability and cost optimisation.</li><li>
Ability to establish technical standards, patterns and governance frameworks.</li><li>
Excellent communication skills, with the ability to engage technical and non-technical stakeholders.</li>
A pragmatic, delivery-focused approach to enterprise AI adoption.<br>
<li>
</li></ul><p><b>Why join AND Digital?</b></p><p>
We&rsquo;re building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way.</p><p>
Our model is designed to build belonging and connection: we&rsquo;re organised into regional &lsquo;Clubs&rsquo; of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole.</p><p>
Our Practice Areas act as a &lsquo;second home&rsquo; for our ANDis - a place where you can innovate and learn with like-minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy.</p><p>
Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our ANDis: we value curiosity, ambition and a growth-mindset. We are deeply client-centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves.</p><p></p><p><b>
By joining AND, we&rsquo;ll provide:</b></p><ul><li>
25 days bookable holiday + flexible Bank Holidays</li><li>
Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice).</li><li>
Aviva healthcare cover (including pre-existing condition cover) for you.</li><li>
Flexibenefit: &pound;1000 assigned to you via our benefits portal to select or upgrade the benefits that suit you the most. Any unused allowance from the &pound;1000 can be taken as cash.</li><li>
Life Assurance.</li><li>
Income Protection.</li><li>
Eye test + first pair of glasses.</li><li>
Parental Benefits: Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave.</li></ul><p></p><p><b>
Equal Opportunities Statement</b></p><p>
Diversity and inclusion are hugely important to us, and we&rsquo;re committed to providing equal opportunities for all. We&rsquo;re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application.</p><p>
We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.</p><p></p><p><b>
AI Statement</b></p><p>
We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.</p></div>

Principal AI Engineer - Microsoft Azure AI Foundry (Contract)

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