project engineer

ai engineer

full stack engineer

data engineer

senior devops engineer

devops engineer

DigitalQatalyst For Information Technology Consultants Co. L.L.C

DevOps AnalystWork Location: Dubai, United Arab EmiratesJob SummaryDigitalQatalyst is seeking a highly skilled and forward-thinking DevOps Analyst to orchestrate the design, implementation, and governance of our DevOps function. The successful candidate will define cloud infrastructure architecture, CI/CD strategies, platform engineering standards, DevSecOps practices, and release governance to enable secure, scalable, and efficient software delivery across multiple digital products and client platforms.This role offers an exciting opportunity to shape the organization's DevOps capability by driving automation, infrastructure modernization, platform reliability, and AI-assisted engineering practices while providing technical leadership to cross-functional engineering teams.Key ResponsibilitiesDevOps Architecture &amp; Strategy<ul><li>Design and maintain the organization's DevOps architecture, standards, and best practices.</li><li>Develop CI/CD strategies that improve software delivery speed, quality, and reliability.</li><li>Define Infrastructure as Code (IaC) standards and cloud deployment models.</li></ul>Platform Engineering &amp; Infrastructure<ul><li>Design secure, scalable cloud infrastructure and deployment environments.</li><li>Establish reusable infrastructure templates and platform engineering standards.</li><li>Drive infrastructure automation and continuous improvement initiatives.</li></ul>Release Management &amp; DevSecOps<ul><li>Define release management processes, deployment governance, and rollback strategies.</li><li>Implement DevSecOps practices, including secrets management, access controls, and security compliance.</li><li>Ensure consistent deployment standards across development, testing, staging, and production environments.</li></ul>Monitoring &amp; Operational Excellence<ul><li>Establish monitoring, logging, observability, and alerting frameworks.</li><li>Develop backup, disaster recovery, and business continuity strategies.</li><li>Introduce AI-enabled automation to improve operational efficiency and incident resolution.</li></ul>Technical Operations<ul><li>Provide technical guidance and mentorship to engineering teams.</li><li>Lead infrastructure and platform improvement initiatives.</li><li>Develop architecture documentation, operational standards, and implementation guides.</li></ul>Required Qualifications and Experience<ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.</li><li>Minimum of 2 years' experience in DevOps, Cloud Infrastructure, Platform Engineering, Site Reliability Engineering (SRE), or a related role.</li><li>Experience designing and implementing CI/CD pipelines, cloud infrastructure, and Infrastructure as Code (IaC).</li><li>Hands-on experience with DevSecOps practices, deployment automation, and release management.</li><li>Experience working in Agile software development environments.</li><li>Professional cloud or DevOps certifications are an added advantage.</li></ul>Technical CompetenciesDevOps &amp; Cloud Technologies<ul><li>DevOps architecture and platform engineering</li><li>CI/CD pipeline design and automation</li><li>Infrastructure as Code (Terraform or equivalent)</li><li>Microsoft Azure or other cloud platforms</li><li>GitHub Actions, Azure DevOps, or similar CI/CD tools</li><li>Docker and containerization</li><li>Linux administration and networking fundamentals</li></ul>Infrastructure &amp; Operations<ul><li>Monitoring, logging, and observability tools</li><li>Identity and access management</li><li>Backup and disaster recovery planning</li><li>Release governance and deployment automation</li><li>PostgreSQL and cloud database technologies</li><li>DNS and Cloudflare management</li></ul>AI &amp; Engineering Tools<ul><li>Experience using AI-assisted development tools such as ChatGPT, GitHub Copilot, Claude, Cursor, or equivalent to improve automation, debugging, documentation, and engineering productivity.</li></ul>Soft Skills<ul><li>Strong leadership and architectural thinking</li><li>Excellent analytical and problem-solving abilities</li><li>Effective communication and stakeholder management skills</li><li>Ability to mentor and collaborate with cross-functional teams</li><li>Strong planning, organization, and decision-making skills</li><li>High attention to detail and commitment to quality</li><li>Adaptability and a continuous learning mindset</li><li>Results-oriented with the ability to balance innovation, security, and operational excellence</li></ul>Why Join DigitalQatalyst?Join DigitalQatalyst and play a pivotal role in building a modern DevOps capability that powers innovative digital products and cloud platforms. You'll work alongside talented engineering professionals, influence technology strategy, and leverage cutting-edge cloud, automation, and AI technologies to deliver scalable, secure, and high-performing solutions.Job Type: Full-timePay: From AED4,000.00 per monthExperience:<ul><li>DevOps Architect: 2 years (Required)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

DevOps Analyst

Discovered MENA

<div>
 
 AI Software Architect (AI, Python, DevOps)
 
 
 
 Salary:
 
 40k/45k AED p/month Tax Free
 
 
 
 Location:
 
 Dubai Media City (Onsite)
 
 
 
 Benefits:
 
 Medical insurance, flight allowance, discretionary bonus, birthday gift after one year
 
 
 Discover the opportunity
 
 
 
 
 
 We are seeking a
 
 AI Software Architect
 
 to join a unique tech venture. The company focuses on cutting edge applications centered around security, data privacy, and AI.
 
 
 
 
 
 This role offers exceptional long term stability alongside the fast paced innovation of an agile startup environment. You will work alongside a lean tech team, reporting directly to the Tech Product Manager while taking ownership of core software architecture, AI architecture, and hands on development.
 
 
 
 
 
 Discover the role
 
 
 
 
 
 As a Senior AI Software Architect, you will balance technical strategy with active development in a roughly equal split. You will take end to end architectural ownership of user centric applications, AI solutions, and cloud infrastructure supporting a modular platform.
 
 
 
 
 
 You will lead the integration of
 
 LLMs, RAG pipelines, and agentic AI systems
 
 into reliable, scalable production applications while ensuring cloud native services remain secure, compliant, and observable. This is an individual contributor position designed for a skilled builder who thrives in a fast moving environment.
 
 
 
 
 
 Discover the responsibilities
 
 
 
 
 <ul>
 <li>
 Take complete ownership of software, AI, and platform architecture from initial design through production deployment
 </li>
 <li>
 Spend half your time writing hands on code, specifically building and integrating AI solutions using
 
 Python, LLMs, RAG, and agentic AI
 
 </li>
 <li>
 Design, deploy, and manage multi tenant microservices infrastructure across AWS cloud environments and
 
 Amazon EKS/Kubernetes clusters
 
 </li>
 <li>
 Build and integrate production grade LLM applications, including RAG pipelines, AI agents, and model integrations
 </li>
 <li>
 Embed zero trust networking, privacy by design, and strict security controls across platforms
 </li>
 <li>
 Build and optimize continuous deployment pipelines, automated testing, infrastructure as code, and full stack observability layers
 </li>
 <li>
 Work extensively with
 
 DevOps and MLOps tooling
 
 , including Terraform, Kubernetes, EKS, CI/CD, and cloud native deployment practices
 </li>
 <li>
 Work on production grade software and AI products built directly for external commercial users
 </li>
 <li>
 Identify and resolve system performance bottlenecks, technical debt, and scalability limitations
 </li>
 </ul>
 
 
 
 
 Discover the requirements
 
 
 
 
 <ul>
 <li>
 Minimum 5 to 7 years of relevant experience in software architecture and hands on engineering
 </li>
 <li>
 Strong hands on development skills in
 
 Python
 
 , with proven experience building and integrating AI solutions
 </li>
 <li>
 Proven commercial experience working with
 
 LLMs, RAG, AI agents, or agentic AI architectures
 
 </li>
 <li>
 Proven experience building commercial SaaS products sold directly to customers
 </li>
 <li>
 Deep technical knowledge of
 
 AWS and Kubernetes
 
 , with hands on experience using
 
 Amazon EKS
 
 </li>
 <li>
 Solid grasp of
 
 DevOps and MLOps practices, Terraform/infrastructure as code, CI/CD, and cloud native tooling
 
 </li>
 <li>
 Strong understanding of zero trust security, data encryption, and data residency standards
 </li>
 <li>
 Experience designing scalable microservices and production grade AI applications
 </li>
 <li>
 Experience in fast paced startup or scaleup environments is strongly preferred
 </li>
 <li>
 Strong understanding of how to take AI/ML solutions from development through to reliable production deployment
 </li>
 </ul>
 
 
 
</div>

AI Software Architect (AI, Python, DevOps)

<div>
 
 
 Forward Deployed Engineer
 
 
 
 
 
 
 We are looking for a Forward Deployed Engineer to join our Team and work directly with operating companies across the Group to turn real-world operational challenges into deployed AI solutions.
 
 
 This is a hands-on engineering role for someone who enjoys working closely with business users, understanding how work is performed, building practical AI solutions and taking them all the way from discovery to production and handover.
 
 
 The successful candidate will combine software engineering, AI/LLM development, systems integration and business problem-solving to deliver solutions that create measurable operational value.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work directly with operating companies to identify operational problems and translate them into practical AI and automation solutions.
 </li>
 <li>
 Conduct process discovery, requirements gathering and stakeholder interviews.
 </li>
 <li>
 Design, build, test and deploy AI-powered solutions using internal platforms, models and reusable components.
 </li>
 <li>
 Develop solutions using
 
 Python, LLM APIs, RAG, vector databases, agent frameworks and workflow orchestration
 
 .
 </li>
 <li>
 Integrate AI solutions with existing operational systems, APIs, data sources and business workflows.
 </li>
 <li>
 Rapidly prototype solutions, test them with real users and iterate towards production-ready implementations.
 </li>
 <li>
 Develop evaluation and testing frameworks to measure AI solution quality and performance.
 </li>
 <li>
 Monitor deployed solutions in production and troubleshoot performance, quality and integration issues.
 </li>
 <li>
 Work with Group IT, Information Security, Data &amp; Analytics and business teams to ensure appropriate architecture, security and compliance.
 </li>
 <li>
 Document solutions and prepare technical handover materials.
 </li>
 <li>
 Train business users and operational owners to use, maintain and extend deployed solutions.
 </li>
 <li>
 Track and report measurable benefits from each deployment, including cost savings, productivity improvements and licence displacement.
 </li>
 <li>
 Identify reusable components and patterns that can accelerate future AI deployments across the Group.
 </li>
 <li>
 Support build-versus-buy assessments by demonstrating the technical feasibility and total cost of internally developed solutions.
 </li>
 <li>
 Where required, lead temporary delivery pods or coordinate the work of interns.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in
 
 Artificial Intelligence, Computer Science, Software Engineering, Data Science, Industrial Engineering or a related discipline
 
 .
 </li>
 <li>
 
 1&ndash;3 years of hands-on experience
 
 building and deploying software or AI solutions into production.
 </li>
 <li>
 Proven experience delivering solutions used by real users beyond proof-of-concept or experimental environments.
 </li>
 <li>
 Recent practical experience developing applications using
 
 Large Language Models (LLMs)
 
 is required.
 </li>
 <li>
 Strong experience with
 
 Python
 
 for application development and/or data-related work.
 </li>
 <li>
 Experience working with
 
 LLM APIs, prompt engineering and context design
 
 .
 </li>
 <li>
 Practical knowledge of
 
 Retrieval-Augmented Generation (RAG)
 
 and vector databases.
 </li>
 <li>
 Experience with
 
 AI agent frameworks and workflow orchestration
 
 .
 </li>
 <li>
 Experience with
 
 APIs, system integration, SQL and data pipelines
 
 .
 </li>
 <li>
 Exposure to AI evaluation and testing frameworks.
 </li>
 <li>
 Experience with cloud platforms and deploying/managing applications in cloud environments.
 </li>
 <li>
 Exposure to lightweight front-end development for internal tools is an advantage.
 </li>
 <li>
 Strong process mapping, business analysis and requirements-gathering skills.
 </li>
 <li>
 Ability to communicate technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience working directly with clients, business units or operational teams is strongly preferred.
 </li>
 <li>
 Exposure to
 
 logistics, supply chain or operations-heavy environments
 
 is an advantage.
 </li>
 </ul>
 
 
 
 
 Key Technical Skills
 
 
 
 Python | Generative AI | LLMs | LLM APIs | Prompt Engineering | RAG | Vector Databases | AI Agents | Workflow Orchestration | API Integration | SQL | Data Pipelines | AI Evaluation | Cloud Deployment | Software Development | Process Automation
 
 
 
 What We Are Looking For
 
 
 We are looking for an engineer who is comfortable operating at the intersection of
 
 technology and business
 
 .
 
 
 You should be able to take an ambiguous operational problem, understand it directly from users, design a technical solution, build it, deploy it into production and ensure that the business can successfully use and maintain it.
 
 
 
 Candidates whose experience is limited to academic projects, training or POCs without production deployment experience will not be considered.
 
 
</div>

Forward Deployed Engineer

Cohere

<div>
 
 Who are we?
 
 
 
 Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
 
 
 We&rsquo;re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
 
 
 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
 
 
 We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
 
 
 
 About North
 
 
 
 North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
 
 
 
 Why This Role?
 
 
 
 This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients&rsquo; engineering teams, you&rsquo;ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
 
 
 We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
 
 
 
 In This Role, You Will
 
 
 
 <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>
 Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
 </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>
 </ul>
 
 You May Be a Good Fit If
 
 
 
 <ul>
 <li>
 You have experience with and enjoy working directly with customers
 </li>
 <li>
 You have experience deploying enterprise software in private/hybrid cloud environments
 </li>
 <li>
 You have 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>
 You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
 </li>
 <li>
 You excel in fast-paced environments and can execute while priorities and objectives are a moving target
 
 
 </li>
 </ul>
 
 Full-Time Employees At Cohere Enjoy These Perks
 
 
 
 <ul>
 <li>
 A weekly lunch stipend of $75/&pound;75 or equivalent in your local currency for lunch.
 </li>
 <li>
 Full health and dental benefits, including a separate budget for mental health.
 </li>
 <li>
 RRSP matching, 401K, Pension Scheme.
 </li>
 <li>
 100% Parental Leave top-up for up to 6 months, for either parent.
 </li>
 <li>
 Annual enrichment benefits:
 
 
 </li>
 </ul>
 Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.
 
 
 Education &amp; learning stipend for conferences, courses, and coaching.
 
 
 <ul>
 <li>
 6 weeks of paid vacation (30 working days!)
 </li>
 <li>
 Budget for traveling to other offices if you are remote, plus an annual company offsite.
 
 
 </li>
 </ul>
 
 How And Where We Work
 
 
 
 <ul>
 <li>
 Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
 </li>
 <li>
 For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
 </li>
 <li>
 For those not near an office: a co-working benefit so you can work alongside others in your city.
 </li>
 <li>
 Everyone receives a $500 home office stipend to set up your workspace properly.
 
 
 </li>
 </ul>
 If any of the above doesn&rsquo;t line up exactly with your experience, we still encourage you to apply.
 
 
 We 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.
 
 
 We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
 
 
 
 Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our
 
 
 official careers
 
 
 page.
 
</div>

Forward Deployed Engineer, Infrastructure Specialist (Europe/Middle East)

Derq

<div>Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We&rsquo;re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.
Role Overview
We are looking for a Full-Stack Software Engineer to join our growing engineering team. In this role, you will work across frontend, backend, and cloud infrastructure to build scalable, high-availability products and services powering intelligent transportation systems.
You will contribute to customer-facing applications, backend APIs, cloud-native services, and data pipelines that support real-time analytics, complex workflows, and production-critical operations. This role is ideal for someone who enjoys owning features end-to-end, building for scale, and working in a fast-moving environment where engineering has direct impact on real-world deployments.
Key Responsibilities<ul><li>
Design, develop, and maintain full-stack applications across frontend and backend systems</li><li>
Build responsive and scalable frontend applications using React (Remix), TypeScript, and Vue.js</li><li>
Develop backend services and APIs using NestJS and modern microservice architectures</li><li>
Design and optimize integrations with relational databases and data platforms</li><li>
Build and maintain event-driven cloud pipelines using AWS services such as S3, SQS, Lambda, Cognito, and API Gateway</li><li>
Develop ETL and data transformation workflows using Python</li><li>
Deploy and manage containerized applications using Docker and Kubernetes (EKS)</li><li>
Contribute to CI/CD pipelines using GitHub Actions and ArgoCD</li><li>
Collaborate with product, engineering, and deployment teams to deliver reliable production-ready solutions</li><li>
Troubleshoot production issues, improve system performance, and support scalability initiatives</li><li>
Participate in technical discussions, architecture reviews, and engineering best practices</li></ul> 

Requirements 
<ul><li>
7+ years of experience in Full‑Stack engineering, working across frontend, backend, and production environments</li><li>
Experience building scalable, high-availability platforms that support large user volumes, complex workflows, and production-critical operations</li></ul><ul><li>
Strong frontend experience with React (Remix), TypeScript, and Vue.js (Vue 2 &ndash; legacy)</li><li>
Backend experience using NestJS and building APIs / microservices</li><li>
Solid experience with relational databases (RDBMS) and familiarity with MongoDB and Amazon Redshift</li><li>
Hands‑on experience with public cloud platforms (AWS preferred) and services such as S3, SQS, Lambda, Cognito, and API Gateway</li><li>
Experience building event‑driven pipelines (S3 SQS Lambda), using Python for ETL and data transformation</li><li>
Experience with CI/CD pipelines (GitHub Actions, ArgoCD) and containerized deployments using Docker and Kubernetes (EKS)</li><li>
Comfortable working independently, taking ownership, and operating in a fast‑moving environment</li></ul></div>

Senior Full-Stack Engineer (Scalable Systems)

D4 Insight

<div>Location: Dubai, UAE 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

We are looking for innovative Software Engineer &ndash; Advent to modernize and optimize enterprise investment management platforms built on Advent APX. This role combines expertise in .NET development, MS SQL, automation, APIs, CI/CD, and AI technologies to improve operational efficiency and deliver next-generation financial technology solutions.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<h4 class="jobSectionHeader">Platform Engineering</h4>
<ul><li>Administer, maintain, and optimize the Advent APX platform.</li>
<li>Develop backend services and integrations using .NET (C#).</li>
<li>Design scalable application architecture supporting enterprise investment operations.</li>
<li>Ensure application reliability, performance, and security.</li>
</ul><h4 class="jobSectionHeader">Database &amp; Automation</h4>
<ul><li>Develop and optimize complex T-SQL queries, stored procedures, and database objects.</li>
<li>Build automated testing frameworks using Playwright or equivalent tools.</li>
<li>Design CI/CD pipelines to streamline deployments and reduce manual effort.</li>
<li>Identify and automate inefficient operational workflows.</li>
</ul><h4 class="jobSectionHeader">Innovation &amp; Integration</h4>
<ul><li>Integrate modern APIs and microservices using Node.js and .NET.</li>
<li>Explore AI technologies and LLM-based automation opportunities.</li>
<li>Support production issues and optimize enterprise applications.</li>
<li>Collaborate with Product, Infrastructure, and Development teams.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>Advent APX</li>
<li>.NET (C#)</li>
<li>MS SQL Server</li>
<li>T-SQL</li>
<li>Node.js</li>
<li>API Development</li>
<li>Test Automation (Playwright)</li>
<li>CI/CD Pipelines</li>
</ul><h3 class="jobSectionHeader">Preferred Skills:</h3>
<ul><li>AI &amp; LLM Frameworks</li>
<li>Azure DevOps</li>
<li>Microservices</li>
<li>Git</li>
<li>Wealth Management / Investment Domain Experience</li>
</ul>
 Apply Now: [email protected]</div>

Software Engineer – Advent

Quvia

<div>JOB DESCRIPTION

Job Title: Solutions Engineer

Group: Solutions Engineering Team

Manager: Daniel Pinto

Location: UAE 
Company Overview:

Quvia is the first AI-powered quality of experience (QoE) management platform for things that move, like ships and planes, transforming connectivity and digital experiences even in the most remote and hard-to-reach places. The Quvia platform uses AI and machine learning to seamlessly blend any combination of connectivity, regardless of provider, orbit or network, into one, vendor-neutral environment. It then delivers comprehensive, end-to-end analytics and dynamic network orchestration that optimizes for the best possible QoE and end-user experiences. Today, Quvia works with world-leading, Fortune 500 companies in aviation, cruise, shipping and more. 
Why Quvia?
<ul>
<li>Founded in 2019, Quvia is a fast-growing, Series A tech startup passionate about making connectivity and digital experiences better for everyone, everywhere.</li>
<li>Our industry-first solutions are already addressing major challenges for companies in the aviation and cruise industries &ndash; and we're just getting started.</li>
<li>Quvia is headquartered in the greater Miami region, with offices in the UK and India, and remote teams around the world.</li>
<li>As an early-stage company, all Quvia employees have the opportunity to make a significant impact on our growth trajectory, and the future of the industries we serve.</li>
<li>Quvia is backed by Columbia Capital, a respected venture capital firm founded in 1989 that has raised over $5 Bn of fund commitments.</li></ul> 


About the Role 
The Solutions Engineer is the technical bridge between our customers and our engineering and operations teams, assessing a customer's current network, capturing new technical requirements and pain points, and converting them into solution designs that deliver measurable business outcomes. You will own the journey from qualification through proof of concept to production. This role demands deep networking fundamentals across terrestrial and satellite environments, hands-on expertise in software-defined networking (SDN) and multi-vendor SD-WAN technologies, scripting and DevOps capability, and the judgement to evaluate emerging technologies and design solutions that scale. 
Working on this technology, you will have the opportunity to make a major impact on the implementation and quality of Quvia's next-generation products. Our environment cultivates innovation and rapid product iteration within a creative solution space, and we need a dedicated, organized, and efficient professional who thrives on being integral to a fast-paced startup. As an excellent communicator, you will set appropriate expectations, keep stakeholders apprised of progress and action items, manage project plans, balance workloads, and ensure we meet our commitments; all while navigating the complexities of large enterprise customers. Above all, you will think creatively through complex problems and design and implement solutions that address customer pain points and generate economic benefits, enabling us to publish a clear ROI for every customer. 
What You&rsquo;ll Do
<ul>
<li>Partner with sales to assess a customer&rsquo;s current network, capture new technical requirements and pain points, and convert them into tailored solution designs with clear, measurable business outcomes. 
</li>
<li>Design, test and deploy multi path traffic orchestration systems across satellite, and terrestrial environments in customer networks using Quvia products and third party integrations. This will require the setup of a customer profile at edge, cloud and datacenters/POPs.</li>
<li>Lead proof of concepts end to end: define success criteria, design, hardware specifications, installation, configuration and testing of Quvia systems. Responsible for troubleshooting complex issues with customer, QA and Engineering teams, and own the handoff from POC to production.</li>
<li>Use scripting and DevOps practices to streamline solution delivery &ndash; configuration templating, workflow automation and tooling that supports demos, POCs and repeatable deployments.</li>
<li>Act as a technical advisor to customers, offering guidance on best practices and optimal usage of terrestrial and satellite communication systems, and presenting status updates and health metrics to customer stakeholders.</li>
<li>Conduct training sessions and workshops for customers and internal teams on the operation and maintenance of Quvia products and their value proposition.</li>
<li>Coordinate with cross-functional teams, including sales, product management, systems, engineering, QA, and service delivery, to ensure successful project execution. Develop and maintain comprehensive documentation for all solutions and services provided. Complete a successful handoff to all relevant teams at the end of the project.</li></ul> 


What You'll Need
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering, Telecommunications, Computer Science, or a related field.</li>
<li>At least 5 years of network engineering experience across terrestrial and/or satellite communications, including multi-link architecture.</li>
<li>Deep networking fundamentals, including routing and switching, network security, wireless, and datacenter networking.</li>
<li>Hands-on experience with software-defined networking (SDN) and multi-vendor SD-WAN and Next-Generation Firewall (NGFW) platforms such as Fortinet, VMware VeloCloud, Cisco (Meraki/Viptela), Cradlepoint (Ericsson), Palo Alto, or similar enterprise solutions.</li>
<li>Scripting and DevOps experience in a networking context &ndash; Python, REST APIs, configuration orchestration, zero-touch provisioning and workflow automation.</li>
<li>A track record of leading customer-facing POCs, deployments or migrations (for example, from traditional WAN architectures to SD-WAN) in large enterprise environments.</li>
<li>Proven ability to convert a customer&rsquo;s current network, new technical requirements and pain points into business outcomes, and to articulate that value to both technical and non-technical stakeholders.</li>
<li>Proven knowledge and understanding of managing virtual infrastructure using VMware vSphere, Hyper-V, or KVM, and a thorough understanding of computer hardware and operating systems.</li>
<li>Strong communication and interpersonal skills, with the confidence to lead customer conversations at both engineering and executive level.</li>
<li>Commercial awareness: the ability to spot opportunities to reduce cost, simplify delivery, and open new market segments through better solution design.</li>
<li>Project management experience and the ability to handle multiple tasks simultaneously.</li>
<li>Satellite communication (SATCOM) systems knowledge and experience is a plus.</li>
<li>Experience with cloud-hosted networking and security (e.g. Azure- or AWS-hosted NGFW) is a plus.</li></ul> 


What We'll Offer
<ul>
<li>Competitive Salary</li>
<li>Performance related bonus</li>
<li>Competitive Health Benefits including optical and dental plan</li>
<li>Pension Scheme</li>
<li>30 days Paid Time Off</li>
<li>Paid Public Holidays</li>
<li>Share Options</li>
<li>Monthly phone allowance</li></ul> 


Quvia will never ask to interview job applicants via text message or ask for personal banking information as part of the interview process. Quvia will never ask job applicants or new hires to send money or deposit checks for the company. In case of doubt, please contact us directly at hr-recruitment@quvia.ai 
Quvia is an Equal Opportunity Employer. Employment opportunities at Quvia are based upon one's qualifications and capabilities to perform the essential functions of a particular job. All employment opportunities are provided without regard to race, religion, sex (including sexual orientation and transgender status), pregnancy, childbirth or related medical conditions, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by law.</div>

Solutions Engineer

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