deployment engineer

RedCloud Technologies

<div><p><b>About RedCloud</b></p><p>
The global supply chain is broken&mdash;creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.</p><p>
RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain&mdash;enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment&mdash;facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.</p><p>
Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We&rsquo;re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.</p><p><b><br>
Team Placement</b></p><ul><li><b>Customer-Facing Squads:</b> Embedded with specific customer implementations</li><li><b>Cross-Squad Support:</b> Bringing field insights back to product teams</li></ul><p></p><p><b>
Key Responsibilities</b></p><ul><li>Partner directly with enterprise FMCG and supply chain customers to understand their unique challenges</li><li>Rapidly prototype and deploy custom solutions using platform capabilities</li><li>Build production-ready integrations with customer systems and data sources</li><li>Configure and customize data products for specific client workflows</li><li>Create reusable accelerators and templates for common FMCG patterns</li><li>Train customer teams on platform capabilities and best practices</li><li>Influence product roadmap with field insights and customer feedback</li><li>Build custom agents and conversational interfaces for specific use cases</li><li>Serve as trusted technical advisor to customer stakeholders</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>3-5+ years of software engineering or solutions engineering experience</li><li>Strong programming skills in Python, SQL, Node.js, and React</li><li>Experience working directly with enterprise customers</li><li>Ability to context-switch between multiple customer environments</li><li>Strong debugging and problem-solving skills</li><li>Experience with both AWS and GCP platforms</li><li>Excellent communication skills across technical and business audiences</li><li>Understanding of data engineering and ML deployment</li><li>Self-starter mentality with minimal supervision needed</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>FMCG industry experience (retail, supply chain, manufacturing)</li><li>Consulting or professional services background</li><li>Experience with AgentCore and conversational AI deployment</li><li>Knowledge of common FMCG systems (SAP, Oracle, Salesforce)</li><li>Experience with change management and user adoption</li><li>Understanding of MCP and A2A protocols</li><li>Previous Palantir, Databricks, or similar FDE experience</li></ul><p></p><p><b>
What Makes This Role Unique</b></p><ul><li>Direct impact on customer success and product direction</li><li>Combination of engineering, consulting, and product skills</li><li>Building cutting-edge AI solutions in real production environments</li></ul><p><b><i><br>
Even if you don&rsquo;t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we&rsquo;re looking for.</i></b></p><p><b>
Benefits</b></p><p>
Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity.</p><p>
Plus, you will get:</p><ul><li><p>
25 Days Annual leave, increasing to 26 days after 12 months in the business</p></li><li><p>
Enhanced Company Pension (Matched up to 5% &amp; Salary Sacrifice)</p></li><li><p>
Healthcare Cashplan with Medicash</p></li><li><p>
Private Healthcare with Aviva</p></li><li><p>
Life Insurance with AIG</p></li><li><p>
Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.</p></li><li><p>
Stock / Equity</p></li></ul><p>
Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we&rsquo;re on!</p><p>
RedCloud I We're growing!</p><p>
RedCloud I Red101 App I Open Commerce</p></div>

Forward Deployment Engineer

Siemens

<div><p>Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a &ldquo;<b>AI Integration &amp; Deployment Engineer</b>&rdquo;. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!</p>
<p>
The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.</p>
<p>
This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.</p>
<p>
Additionally, the role involves designing AI-driven data understanding layers &mdash; tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.</p>
<p>
The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics.</p><br>
<p><b>
Responsibilities</b></p>
<ul><li>Design, implement, and maintain AI-powered integrations within enterprise digital platforms</li></ul>
<ul><li>Develop RESTful APIs and backend microservices for connecting internal systems with AI services</li></ul>
<ul><li>Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines</li></ul>
<ul><li>Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms</li></ul>
<ul><li>Ensure adherence to corporate standards on data privacy, access control, and cybersecurity</li></ul>
<ul><li>Conduct functional and performance testing of deployed AI services</li></ul>
<ul><li>Monitor and continuously optimize AI workloads in production environments</li></ul>
<ul><li>Design data labeling and embedding strategies to make enterprise datasets searchable through AI.</li></ul><br>
<p><b>
Qualifications</b></p>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, Electrical-Electronics, or Artificial Intelligence</li></ul>
<ul><li>(Must have)Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact</li></ul>
<ul><li>Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, or similar technologies)</li></ul>
<ul><li>Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Hugging Face APIs</li></ul>
<ul><li>Working knowledge of relational or analytical databases (e.g., MySQL, Snowflake)</li></ul>
<ul><li>Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search principles</li></ul>
<ul><li>Experience working in secure, large-scale enterprise software environments</li></ul><br>
<p><b>
Preferred Skills</b></p>
<ul><li>Familiarity with prompt engineering and model tuning concepts</li></ul>
<ul><li>Experience in transforming tabular and textual datasets into knowledge graphs or AI-queryable structures</li></ul><p><b>
What We Offer?</b></p><div>
<ul><li>Speaking up Culture</li></ul>
<ul><li>Respectful Workplace</li></ul>
<ul><li>Being part of a global work environment</li></ul>
<ul><li>Attractive remuneration package</li></ul>
<ul><li>Excellent recognition tools providing spot awards</li></ul>
<ul><li>Learning &amp; Development opportunities for both personal and professional growth</li></ul>
<ul><li>Leave days for parents and a variety of flexible working models that allow time off for yourself and your family</li></ul>
<ul><li>Creche allowance for mothers</li></ul>
<ul><li>Share matching programs to become a shareholder of Siemens AG</li></ul>
<ul><li>Remote working and remote living flexibility only for relevant positions</li></ul>
<ul><li>Find more benefits here</li></ul></div><p></p><p><i><br>
Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.</i></p><p></p><p>
&ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
</p><p>As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.</p><p>
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.</p><p>
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.</p><p>
Please find more information from our web site:</p><p>
https://new.siemens.com/tr/tr.html</p><p></p><p><b><br>
#LI-HYBRID</b></p></div><p></p>

AI Integration & Deployment Engineer

NODA AI

<div><p><b>Location:</b> Kuwait (CENTCOM AOR) (Home office: Austin, TX)<br>
<b>Travel:</b> Mission-dependent, up to ~75% (OCONUS rotations)<br>
<b>Clearance Requirement:</b> Active Secret required</p><h2 class="jobSectionHeader"><b>
About NODA</b></h2><p>
NODA is a veteran-owned Series A defense technology company building the orchestration layer for autonomous unmanned systems. Our platform &mdash; URZA &mdash; coordinates fleets of heterogeneous vehicles across air, sea, and land for defense and intelligence customers. We expect every hire to be mission-driven with strong agency.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
We are seeking a senior <b>full-stack engineer</b> to lead URZA deployment and customer-facing technical delivery across active customer programs. <b>This req can land at either Senior Solution Engineer (L5) or Solution Architect (L6)</b> depending on demonstrated depth &mdash; see leveling below.</p><p>
You will own URZA deployments end-to-end at customer sites &mdash; primarily in DoW and military operating environments. You will lead engagements as the senior engineering presence on the ground, partner directly with Mission Leads and Field Operations, and represent NODA in customer technical reviews. Expect significant time on-site and significant time writing &mdash; runbooks, deployment guides, ConOps documents, after-action reports.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
What you'll do</b></h2><ul><li><p>
Lead URZA deployments end-to-end at customer sites in DoW and military operating environments.</p></li><li><p>
Configure URZA for each customer's mission and ConOps.</p></li><li><p>
Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources (weather, reconnaissance, intelligence feeds).</p></li><li><p>
Run customer technical reviews and operator training; partner with Mission Leads on engagement coordination.</p></li><li><p>
Build reusable engagement scaffolding (runbooks, ConOps templates, integration playbooks); mentor mid-level Solution Engineers.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li><p>
5+ years of full-stack engineering experience, with significant customer-facing or forward-deployed work.</p></li><li><p>
Strong proficiency in Python, C++, or Rust; advanced Linux fluency.</p></li><li><p>
Networking depth (TCP/IP, UDP, multicast, routing) and field debugging across multiple system layers.</p></li><li><p>
Demonstrated deployment experience in DoW, military, or comparable operational environments.</p></li><li><p>
U.S. citizenship; able to obtain a security clearance.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
Hands-on with autonomous systems or unmanned vehicles (UAS, UGV, USV, UUV).</p></li><li><p>
Tactical C2 systems (TAK, Cursor-on-Target, Link 16) or pub-sub middleware (Zenoh, DDS).</p></li><li><p>
Experience integrating sensors, third-party APIs, or external data feeds (weather, reconnaissance, intelligence).</p></li><li><p>
Prior defense, autonomy, or robotics company experience; classified / ITAR / CMMC environment exposure.</p></li><li><p>
Active security clearance.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Leveling &mdash; Senior SE (L5) vs. Solution Architect (L6)</b></h2><p><b>
Senior Solution Engineer (L5):</b> Owns URZA deployment for a single engagement. Leads on-site execution; partners with a more senior engineer on architecture decisions. Operates independently within an engagement; escalates cross-engagement trade-offs. Mentors mid-level SEs.</p><p><b>
Solution Architect (L6):</b> Owns URZA deployment architecture across multiple concurrent engagements. Defines integration patterns and ConOps templates that other SEs reuse. Holds customer technical authority where the customer expects an architect. Influences URZA roadmap and the integration layer directly through field learning.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Skills &amp; Attributes</b></h2><ul><li><p>
Systems thinker across compute, network, vehicle behavior, and ConOps.</p></li><li><p>
Field-grounded; comfortable diagnosing in degraded conditions on a live exercise clock.</p></li><li><p>
Documentation-disciplined.</p></li><li><p>
Customer-credible; holds technical authority without overstating or underselling.</p></li><li><p>
Self-directed; thrives in ambiguity.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Hybrid work environment</p></li><li><p>
Competitive base + equity</p></li><li><p>
Flexible time off and generous PTO</p></li><li><p>
Federal holidays</p></li><li><p>
401(k)</p></li><li><p>
Comprehensive health, dental, and vision benefits</p></li><li><p>
Free One Medical membership</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Growth Path at NODA</b></h2><p>
Senior Solution Engineer Solution Architect Principal Solution Architect. Lateral: Engineering Manager (Solutions Engineering), Product Manager, Mission Lead.</p><div></div><p><i><br>
We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.</i></p></div>

Forward-Deployed Solution Engineer - International (CENTCOM AOR)

Cohere

<div>
 <strong>
  Who are we?
  <br/>
  <br/>
 </strong>
 Our mission is to scale intelligence to serve humanity. We&rsquo;re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
 <br/>
 <br/>
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what&rsquo;s best for our customers.
 <br/>
 <br/>
 Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
 <br/>
 <br/>
 Join us on our mission and shape the future!
 <br/>
 <br/>
 We are seeking a highly skilled and experienced Enterprise Deployment Specialist to lead the implementation and deployment of our secure AI platform, North, within enterprise organizations' environments. This role is crucial in ensuring a seamless and impactful integration of North, enabling our clients to leverage its capabilities effectively.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
  </li>
  <li>
   Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
  </li>
  <li>
   Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
  </li>
  <li>
   Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
  </li>
  <li>
   Develop training materials and conduct sessions to empower users to adopt North&rsquo;s capabilities effectively.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deploying enterprise software in private/hybrid cloud environments.
  </li>
  <li>
   You are fluent in both English and Arabic.
  </li>
  <li>
   Strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization.
  </li>
  <li>
   Proven experience administering production Kubernetes clusters and expertise with Helm.
  </li>
  <li>
   Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control.
  </li>
  <li>
   Excellent problem-solving skills, attention to detail, and ability to collaborate with cross-functional teams.
   <br/>
   <br/>
  </li>
 </ul>
 We are open to candidates currently based in the Middle East or who are open to travelling or relocating.
 <br/>
 <br/>
 The ideal candidate will have a track record of successful enterprise-level deployments, demonstrating the ability to manage complex projects and deliver impactful results. They should be adaptable, detail-oriented, and passionate about leveraging AI to drive organizational success.
 <br/>
 <br/>
 Note: This role requires a deep understanding of both AI technologies and enterprise IT infrastructure, ensuring a seamless integration of North into diverse organizational environments.
 <br/>
 <br/>
 If some of the above doesn&rsquo;t line up perfectly with your experience, we still encourage you to apply!
 <br/>
 <br/>
 We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 <br/>
 <br/>
 <strong>
  Full-Time Employees At Cohere Enjoy These Perks
  <br/>
  <br/>
 </strong>
 🤝 An open and inclusive culture and work environment
 <br/>
 <br/>
 🧑&zwj;💻 Work closely with a team on the cutting edge of AI research
 <br/>
 <br/>
 🍽 Weekly lunch stipend, in-office lunches &amp; snacks
 <br/>
 <br/>
 🦷 Full health and dental benefits, including a separate budget to take care of your mental health
 <br/>
 <br/>
 🐣 100% Parental Leave top-up for up to 6 months
 <br/>
 <br/>
 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
 <br/>
 <br/>
 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
 <br/>
 <br/>
 ✈️ 6 weeks of vacation (30 working days!)
</div>


Forward Deployed Engineer, Infrastructure Specialist

Thales

<div>Location: ASTRA UTM, United Arab Emirates<p></p>
Thales people architect solutions that are relied upon to deliver operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defensive systems for land, sea, and air. From early warning, to threat neutralisation, our platforms cover all levels from very short-range systems, to extended protection across the entire battle-space including Airspace Mobility Solutions, Vehicles and Tactical Systems and Missile Defence, Optronics, and Radar.<p></p>
Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi&rsquo;s airport.<p></p><h1 class="jobSectionHeader"><b>
CONTEXT</b></h1><p>
Air Mobility Solutions is the World Leader in Air Traffic Management and offers efficient and innovative products and services from Air traffic Control systems, Navigations aids, surveillance systems and Unmanned Traffic Management.</p><p>
ATC &amp; Digital Engineering teams provide complete trustworthy Digital and on-cloud solutions portfolio to manage efficiently existing and emerging airspace mobility.</p><p>
Digital solutions offer an Agile Scale framework adopting feature engineering for solution and product/component-based engineering for software.</p><p></p><p>
Engineering Team are composed of:</p><p><b>
Product teams </b>accountable for defining, development, testing and release of the products that meet customer needs,</p><p><b>
Enabling team/extended project team: </b>Composed of specialists at solution level supporting solution owner &amp; teams, including architect, design authorities.</p><p><b>
Deployment &amp; Services Operations team (yours)</b>: accountable for the instantiation of the product release versions for concurrent projects and customers. The team addresses several product lines over a number of projects.<br>
As the beholder of operations, it directly contributes to the solution by managing not only delivery activities but also <b>deployment and service &amp; operations activities.
</b></p><p></p><h1 class="jobSectionHeader"><b>MISSIONS</b></h1><p>
As <b>Deployment &amp; Service Operations Support Engineer</b>, you will be accountable for operational and customer support service level objectives sustained attainment. Directly engaged in the operational phases of the solution with existing and new customers, as well as supporting high potential bids with demos, you will contribute to the AMS service model underpinning the products&rsquo; value proposition.</p><p></p><p>
As part of the service operation activities, you will:</p><ul><li>
Be a <i>Level 2</i> support agent for customers, prospects and partners,</li><li>
Be an incident management and reactive support agent in the context of our SLAs,</li><li>
Administrate and operate delivered services, monitoring indicators to reach period objectives,</li><li>
In that context, build and continuously feed a knowledge database for internal use as well as customer self-service use,</li><li>
Contribute to the SLA management, working closely with all solutions and partners teams as necessary to ensure structural reliability of the overall solution,</li><li>
Gather customer feedback and follow-up on development of features dedicated to operational efficiency.</li></ul><p></p><p>
As part of the deployment activities, you will:</p><ul><li>
Contribute to end-to-end validation in contexts representative of the customers&rsquo;,</li><li>
Contribute to physical and software installation of systems with third parties and customers integrated technical teams, including push to production,</li><li>
Administrate the cluster of instances deployed for all customers worldwide,</li><li>
Contribute to the maintenance of the infrastructure, CI/CD and configuration components of the delivered services,</li><li>
For prospects in pre-sales phase, prepare demos and scenarios, teaming up with business developers to meet bid demands,</li><li>
Deliver integration framework for meaningful projects with strong local constraints, potentially involving quality assessment or even development and instantiation of software components.</li></ul><p></p><p>
The role sits in the context of a multi-national team, leveraging on the time zones-spanning footprint to optimize reactivity on operational matters. This incurs a strong</p><p></p><h1 class="jobSectionHeader"><b>
EXPERIENCE</b></h1><p>
Expertise in System and/or integration, testing and validation, test environments,</p><p>
Expertise in System architectures, network management and administration,</p><p>
Customer support, ticketing, incident management and service delivery,</p><p>
Knowledge in SaaS Cloud technologies,</p><p>
Proven ability to work in a multi-cultural environment and with a variety of international customers,</p><p>
Experience in ATM and/or UTM is a plus.</p><p></p><h1 class="jobSectionHeader"><b>
COMPETENCES &amp; EXPECTATIONS</b></h1><p>
Main competencies:</p><ul><li>
System or software administrator engineer with keenness on cloud technologies,</li><li>
Experience with SW-based systems engineering and verification/validation,</li><li>
Experience with test specifications and requirements traceability, test automation and test environments using high-level language,</li><li>
A thorough knowledge of servers and networks administration: Machine/VM sizing, network configuration, VPN, remote deployment, SSH filesystem access,</li><li>
A good understanding of DevOps principles in the following technical environment: MS Azure, Linux VMs clusters, SaaS ELK, Kubernetes, Kafka + Zookeeper, Gitlab, REST APIs, Java,</li><li>
Fluent with ticketing workflows and service request handling,</li><li>
ITIL awareness (governing principles and service goals),</li><li>
Customer-facing experience,</li><li>
Can work autonomously as well as within an international, remotely located and multi-disciplinary team,</li><li>
Team player, transparency,</li><li>
Pro-active and result-oriented,</li><li>
Written and spoken English.</li></ul><p></p><p>
Expected competencies:</p><ul><li>
Any qualification on MS Azure cloud (in priority) or other cloud service provider would be beneficial,</li><li>
Acquaintance with agile and scrum methodologies, software assurance,</li><li>
Background in Aviation domain, i.e. Air Traffic Management, Airlines/airports operations, and/or Drone operation, Drone traffic regulation, operational qualification and aeronautical regulations in general would be a substantial plus.</li></ul><p></p>
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!</div>

Deployment & Service Operations Support Engineer

Johns Hopkins University Applied Physics Laboratory

<div><b>Description</b><div><br>
Are you searching for important work at the intersection of National Security Analysis and Artificial Intelligence?</div><div></div><div><br>
Are you passionate about deploying, sustaining, and securing AI-enabled software?</div><div></div><div><b><br>
If so, we're looking for someone like you to join our team at APL, working at the forefront of operationalizing artificial intelligence in national security environments.</b></div><div></div><div><br>
In this role, you will bridge the gap between AI development and real-world deployment&mdash;ensuring that advanced capabilities, including large language models and supporting services, are delivered securely, reliably, and at scale to mission environments.</div><div></div><div><br>
Working within the Advanced Mission Modeling and AI Group (JAM) in the National Security Analysis Department (NSAD), you will play a critical role in ensuring that AI capabilities are not just developed&mdash;but successfully fielded and maintained across DoD and Combatant Command infrastructures.</div><div></div><div><b><br>
As an AI Platform and DevSecOps Engineer...</b></div><ul><li>
Your primary responsibility will be to develop, maintain, and continuously update a secure library of containerized software and supporting stacks, along with implementing automated pipelines for container builds, testing, and validation and ensuring compatibility across multiple operating systems and architectures.</li><li>
You will design, deploy, and maintain Kubernetes-based infrastructure, maintain well-documented, reproducible deployment configurations, and optimize performance and reliability across constrained environments.</li><li>
You will develop processes to continuously scan containers and dependencies for vulnerabilities and remediate findings, ensuring compliance with evolving STIG requirements and security controls and integrating security best practices into CI/CD pipelines.</li><li>
You will navigate deployments across DoD and IC systems, adapt deployment strategies to meet ATO and accreditation constraints, and troubleshoot environment-specific deployment issues.</li></ul>
<br>
<b>Qualifications</b><div><b><br>
You meet our minimum qualifications for the job if you...</b></div><ul><li>
Possess a Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Software Engineering or a closely related technical field.</li><li>
Have at least three years of relevant experience deploying software across Windows and Linux.</li><li>
Have experience with containerization technologies (Docker, Podman) and orchestration (Kubernetes).</li><li>
Have familiarity with CI/CD pipelines and DevSecOps practices.</li><li>
Have experience with vulnerability scanning and remediation.</li><li>
Have proficiency in Bash, or similar scripting languages.</li><li>
Possess strong problem-solving skills in constrained environments.</li><li>
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.</li></ul><div><b>
You'll go above and beyond our minimum requirements if you...</b></div><ul><li>
Have experience deploying to classified or air-gapped environments.</li><li>
Possess familiarity with DoD DevSecOps processes.</li><li>
Have experience supporting AI/ML or LLM-based systems.</li><li>
Have knowledge of container security hardening and STIGs.</li><li>
Have experience with multi-architecture builds.</li><li>
Have experience with Kubernetes in restricted environments.</li></ul><div>
#LI-AG1</div><br>
<br>
<b>About Us</b><div><b><br>
Why Work at APL?</b></div><div></div><div><br>
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation&rsquo;s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.</div><div></div><div><br>
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL&rsquo;s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.</div><div></div><div><br>
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.</div><div><br>
</div><div>The referenced pay range is based on JHU APL&rsquo;s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.</div><br>
<br>
<b>Minimum Rate</b><br>
<br>
$100,000 Annually
<br>
<br>
<b>Maximum Rate</b><br>
<br>
$245,000 Annually</div>

AI Platform and DevSecOps Engineer

<div><p><b>Location:</b> Qatar (CENTCOM AOR) (Home office: Austin, TX)</p><p><b>
Travel:</b> Mission-dependent, up to ~75% (OCONUS rotations)</p><p><b>
Clearance Requirement:</b> Active Secret required</p><h2 class="jobSectionHeader"><b>
About NODA</b></h2><p>
NODA is a veteran-owned Series A defense technology company building the orchestration layer for autonomous unmanned systems. Our platform &mdash; URZA &mdash; coordinates fleets of heterogeneous vehicles across air, sea, and land for defense and intelligence customers. We expect every hire to be mission-driven with strong agency.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
We are seeking a senior <b>full-stack engineer</b> to lead URZA deployment and customer-facing technical delivery across active customer programs. <b>This req can land at either Senior Solution Engineer (L5) or Solution Architect (L6)</b> depending on demonstrated depth &mdash; see leveling below.</p><p>
You will own URZA deployments end-to-end at customer sites &mdash; primarily in DoW and military operating environments. You will lead engagements as the senior engineering presence on the ground, partner directly with Mission Leads and Field Operations, and represent NODA in customer technical reviews. Expect significant time on-site and significant time writing &mdash; runbooks, deployment guides, ConOps documents, after-action reports.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
What you'll do</b></h2><ul><li><p>
Lead URZA deployments end-to-end at customer sites in DoW and military operating environments.</p></li><li><p>
Configure URZA for each customer's mission and ConOps.</p></li><li><p>
Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources (weather, reconnaissance, intelligence feeds).</p></li><li><p>
Run customer technical reviews and operator training; partner with Mission Leads on engagement coordination.</p></li><li><p>
Build reusable engagement scaffolding (runbooks, ConOps templates, integration playbooks); mentor mid-level Solution Engineers.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li><p>
5+ years of full-stack engineering experience, with significant customer-facing or forward-deployed work.</p></li><li><p>
Strong proficiency in Python, C++, or Rust; advanced Linux fluency.</p></li><li><p>
Networking depth (TCP/IP, UDP, multicast, routing) and field debugging across multiple system layers.</p></li><li><p>
Demonstrated deployment experience in DoW, military, or comparable operational environments.</p></li><li><p>
U.S. citizenship; able to obtain a security clearance.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
Hands-on with autonomous systems or unmanned vehicles (UAS, UGV, USV, UUV).</p></li><li><p>
Tactical C2 systems (TAK, Cursor-on-Target, Link 16) or pub-sub middleware (Zenoh, DDS).</p></li><li><p>
Experience integrating sensors, third-party APIs, or external data feeds (weather, reconnaissance, intelligence).</p></li><li><p>
Prior defense, autonomy, or robotics company experience; classified / ITAR / CMMC environment exposure.</p></li><li><p>
Active security clearance.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Leveling &mdash; Senior SE (L5) vs. Solution Architect (L6)</b></h2><p><b>
Senior Solution Engineer (L5):</b> Owns URZA deployment for a single engagement. Leads on-site execution; partners with a more senior engineer on architecture decisions. Operates independently within an engagement; escalates cross-engagement trade-offs. Mentors mid-level SEs.</p><p><b>
Solution Architect (L6):</b> Owns URZA deployment architecture across multiple concurrent engagements. Defines integration patterns and ConOps templates that other SEs reuse. Holds customer technical authority where the customer expects an architect. Influences URZA roadmap and the integration layer directly through field learning.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Skills &amp; Attributes</b></h2><ul><li><p>
Systems thinker across compute, network, vehicle behavior, and ConOps.</p></li><li><p>
Field-grounded; comfortable diagnosing in degraded conditions on a live exercise clock.</p></li><li><p>
Documentation-disciplined.</p></li><li><p>
Customer-credible; holds technical authority without overstating or underselling.</p></li><li><p>
Self-directed; thrives in ambiguity.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Hybrid work environment</p></li><li><p>
Competitive base + equity</p></li><li><p>
Flexible time off and generous PTO</p></li><li><p>
Federal holidays</p></li><li><p>
401(k)</p></li><li><p>
Comprehensive health, dental, and vision benefits</p></li><li><p>
Free One Medical membership</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Growth Path at NODA</b></h2><p>
Senior Solution Engineer Solution Architect Principal Solution Architect. Lateral: Engineering Manager (Solutions Engineering), Product Manager, Mission Lead.</p><div></div><p><i><br>
We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.</i></p></div>

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