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KBR, Inc.

<div>
 
 Title
 
 
 
 Lead Interface Engineer
 
 
 
 
 Belong, Connect, Grow, with KBR!
 
 
 
 
 
 
 The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals. KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.
 
 
 
 
 KBR Abu Dhabi is currently seeking an experienced
 
 Lead Interface Engineer
 
 to support a major ADNOC project. The role will initially be based in our Abu Dhabi office, with a planned relocation to an international project location at a later stage.
 
 
 The Lead Interface Engineer will be responsible for managing and coordinating all project interface activities across engineering, procurement, construction, and external stakeholders. This includes developing and maintaining interface registers, resolving interface issues, facilitating communication between project teams and third parties, ensuring alignment with ADNOC interface management requirements, and supporting the smooth integration of all project deliverables throughout the lifecycle.
 
 
 Profile matching below criteria only will be contacted.
 
 
 
 Requirements
 
 
 
 A bachelor&rsquo;s degree in engineering is a MUST. Minimum Overall 18+ years of experience in execution of FEED / EPC contracts in the Oil &amp; Gas industry with minimum 5 year&rsquo;s experience in GCC region Having minimum 5+ years of previous experience working in similar position for international major Oil &amp; Gas EPC projects. Having previous experience in handling ADNOC Projects will be an added advantage.
 
 
 
 R2119812
 
</div>

Lead Interface Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 Technical Lead
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Technical Lead to join our customer's team and drive innovation on a cutting-edge AI agent project. In this role, you will leverage your deep hands-on coding expertise to guide the design, development, and training of AI models. This is an exciting opportunity to work remotely with a dynamic, collaborative team on impactful technology initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical direction and architectural decisions for AI agent development using modern programming languages.
 </li>
 <li>
 Collaborate with cross-functional teams to design, build, and optimize scalable AI solutions.
 </li>
 <li>
 Write high-quality, production-level code in React, Python, Node.js, PHP, .NET, C#, or C++.
 </li>
 <li>
 Mentor and support team members, fostering a culture of technical excellence and collaboration.
 </li>
 <li>
 Develop, evaluate, and iterate on AI model training processes to enhance performance and accuracy.
 </li>
 <li>
 Ensure clear, concise, and effective written and verbal communication within the team and with stakeholders.
 </li>
 <li>
 Continuously research emerging trends in AI and software development to recommend improvements and drive innovation.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience developing with React, Python, Node.js, PHP, .NET, C#, or C++.
 </li>
 <li>
 Proven leadership experience guiding technical teams and projects to successful delivery.
 </li>
 <li>
 Strong expertise in training AI models and implementing machine learning solutions.
 </li>
 <li>
 Excellent written and verbal communication skills, with a passion for clarity and collaboration.
 </li>
 <li>
 Ability to take ownership of complex tasks and drive projects from ideation to completion.
 </li>
 <li>
 Self-motivated, proactive, and adaptable in a fast-paced remote environment.
 </li>
 <li>
 Experience working with distributed teams and agile development methodologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to multiple programming languages and willingness to learn new technologies.
 </li>
 <li>
 Prior involvement in AI agent or similar advanced technology projects.
 </li>
 <li>
 Experience working on customer-facing or client-driven teams.
 </li>
 </ul>
</div>

Technical Lead - Remote

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The Senior Azure Platform Engineer role is a strategic &quot;Greenfield&quot; leadership position focused on architecting the foundational Azure ecosystem for a major FinTech enterprise. You will be responsible for designing and deploying a secure, automated, and AI-ready cloud infrastructure from the ground up, balancing cutting-edge Azure OpenAI integration with rigorous FinOps and Terraform standardization. Ultimately, you are building the scalable, high-performance &quot;engine room&quot; that will power the next generation of digital financial services. 
Your responsibilities as the Senior Azure Platform Engineer include:<ul><li>
Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li>
Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li>
Standardize all deployments using Terraform to ensure consistency and modularity.</li><li>
Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li>
Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li>
Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul> 
As an AI consultancy, our greatest asset is the expertise of our people.
 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
What you need to have: 
<ul><li>
5+ years experience with Azure Cloud Platform.</li><li>
Expert-level Terraform skills.</li><li>
Familiarity with Azure AI Foundry and OpenAI Service.</li><li>
Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li>
Hands-on experience with Azure APIM or Kong.</li><li>
Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Senior Azure Platform Engineer

Inception

<div>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Overview
 
 
 
 Inception is seeking a highly skilled Lead Data Engineer to architect and build scalable, cloud-native data and AI pipelines that power enterprise LLM, RAG, and retrieval systems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize scalable data pipelines for AI/LLM workloads, including vectorization and embedding processing.
 </li>
 <li>
 Develop and maintain ETL/ELT workflows for structured, unstructured, and streaming data.
 </li>
 <li>
 Create and manage vector database indexing and similarity search pipelines using tools like FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Build retrieval systems for RAG, semantic search, and enterprise knowledge retrieval.
 </li>
 <li>
 Develop robust, reusable data orchestration pipelines using Airflow, Spark, or similar tools.
 </li>
 <li>
 Architect and manage data pipelines across Azure (primary), AWS, and GCP environments.
 </li>
 <li>
 Integrate and optimize storage and processing across SQL, NoSQL, and vector databases.
 </li>
 <li>
 Contribute to the design and implementation of event-driven architectures.
 </li>
 <li>
 Collaborate with AI teams to enable embedding generation, LLM integration, and model-serving pipelines.
 </li>
 <li>
 Ensure end-to-end data quality, monitoring, reliability, and observability.
 </li>
 <li>
 Lead or participate in system design for large-scale, distributed data and AI systems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong expertise in Python for data processing, APIs, automation, or distributed workloads.
 </li>
 <li>
 Strong proficiency in SQL and knowledge of NoSQL databases (MongoDB, DynamoDB, Cosmos DB, etc.).
 </li>
 <li>
 Experience with vector databases, such as: FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Strong knowledge of data modeling, pipeline development, and ETL/ELT frameworks.
 
 
 </li>
 </ul>
 
 AI/LLM Infrastructure
 
 
 
 <ul>
 <li>
 Solid understanding of vectorization, embeddings, and similarity search techniques.
 </li>
 <li>
 Familiarity with LLMs, embedding models, and RAG pipeline concepts.
 </li>
 <li>
 Experience integrating embedding-generation pipelines via Hugging Face, OpenAI, or other model providers.
 
 
 </li>
 </ul>
 
 Cloud &amp; Distributed Systems
 
 
 
 <ul>
 <li>
 Proficiency with Azure (primary), and familiarity with AWS and GCP.
 </li>
 <li>
 Experience with Docker and containerized development.
 </li>
 <li>
 Understanding of Kubernetes is a strong plus.
 
 
 </li>
 </ul>
 
 Orchestration &amp; Big Data
 
 
 
 <ul>
 <li>
 Expertise in Apache Airflow for scheduling and orchestration.
 </li>
 <li>
 Experience with Apache Spark or equivalent distributed processing frameworks.
 
 
 </li>
 </ul>
 
 Architecture &amp; Engineering Fundamentals
 
 
 
 <ul>
 <li>
 Strong system design fundamentals for scalable and distributed systems.
 </li>
 <li>
 Knowledge of event-driven architecture and modern data platforms.
 </li>
 <li>
 Strong understanding of DevOps, CI/CD, version control, and observability best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of progressive experience in data engineering, distributed systems, or AI/ML data infrastructure
 </li>
 <li>
 Experience building RAG pipelines in production.
 </li>
 <li>
 Knowledge of graph databases or hybrid search systems.
 </li>
 <li>
 Understanding of model deployment, inference optimization, and caching techniques for LLM workloads.
 </li>
 <li>
 Familiarity with data governance, IAM, and security patterns across cloud ecosystems
 
 
 </li>
 </ul>
 What We Look For
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What Working At Inception Offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Lead Data Engineer

Keyrock

<div>
 
 About Keyrock
 
 
 
 Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
 
 
 Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels and Singapore, and host regular online and offline hangouts to keep the crew tight.
 
 
 We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
 
 
 But we&rsquo;re more than a service provider. We&rsquo;re an initiator. We're pioneers in adopting the Rust development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
 
 
 At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
 
 
 
 Mission statement
 
 
 
 The
 
 Tech Lead
 
 plays a pivotal role in bridging
 
 business objectives
 
 with
 
 technical execution
 
 . This role is not purely managerial nor solely individual contributor, but a
 
 hybrid position
 
 that combines
 
 hands-on engineering
 
 ,
 
 architectural leadership
 
 , and
 
 team enablement
 
 . A Tech Lead ensures delivery excellence by actively contributing to the codebase, guiding the team technically, and aligning execution with long-term strategic goals.
 
 
 At Keyrock, the
 
 Tech Lead
 
 is a
 
 senior technical contributor
 
 who drives the
 
 implementation and delivery
 
 of engineering initiatives within their Business Unit. The Tech Lead is accountable for
 
 technical execution and delivery quality
 
 , ensuring that systems are built to high standards of reliability, performance, and maintainability.
 
 
 While the
 
 Head of Engineering (HoE)
 
 focuses on
 
 strategic alignment -
 
 ensuring that engineering outcomes meet the broader objectives agreed with the
 
 Head of Product (HoP) -
 
 the Tech Lead operates as the
 
 executional deputy
 
 , translating those strategic objectives into code, architecture, and delivery outcomes.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Act as the technical point of accountability for the Service Market Making Business Unit.
 </li>
 <li>
 Balance strategic thinking with pragmatic delivery, ensuring systems are built to last while meeting immediate needs.
 </li>
 <li>
 Champion collaboration across teams, ensuring alignment between product, design, QA, and engineering.
 </li>
 <li>
 Inspire and develop engineers through mentorship, coaching, and technical guidance, fostering growth and autonomy within the team.
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Drive Delivery and Alignment: Partner with the Head of Engineering to own delivery of entire work-streams, ensuring architecture and engineering decisions align with both immediate requirements and business strategy.
 </li>
 <li>
 Balance Code and Leadership: Contribute directly through coding, while also focusing on architecture design, peer reviews, and cross-functional communication.
 </li>
 <li>
 Mentor and Elevate Engineers: Provide structured feedback through design and code reviews, support skill development, and empower junior and mid-level engineers to take ownership.
 </li>
 <li>
 Technical Leadership: Guide system design, ensure scalability and resilience, and optimise performance across applications and infrastructure.
 </li>
 <li>
 Maintain Standards: Uphold engineering best practices, enforce coding guidelines, and partner with QA to embed automation and validation in the delivery pipeline.
 </li>
 <li>
 Codebase Health: Manage technical debt, lead refactoring initiatives, and ensure long-term maintainability and operational excellence.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with product managers, designers, and QA engineers to define scope, refine requirements, and plan delivery in a transparent and predictable manner.
 </li>
 <li>
 Risk Management: Anticipate technical risks, dependencies, and trade-offs early, and propose mitigations to safeguard delivery timelines.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering or a related discipline, or equivalent practical experience
 </li>
 <li>
 5+ years in a Technical Leadership position guiding teams, shaping architecture, and driving delivery of complex projects
 </li>
 <li>
 Demonstrated expertise in architecting and maintaining high-concurrency, low-latency trading systems at scale
 </li>
 <li>
 Advanced proficiency in Rust; working knowledge of Node.js (JavaScript/TypeScript) and Python is an advantage
 </li>
 <li>
 Deep experience with data-intensive architectures and real-time data pipelines
 </li>
 <li>
 Proven track record deploying, optimising and operating AWS environments for ultra-low-latency workloads
 </li>
 <li>
 Hands-on experience containerising applications and managing Kubernetes clusters in production
 </li>
 <li>
 Familiarity with GitOps workflows to automate infrastructure provisioning, configuration and deployments
 </li>
 <li>
 Solid command of software engineering best practices, including Agile methodologies, DevOps principles and end-to-end CI/CD pipelines
 </li>
 <li>
 Knowledge of DevSecFinOps principles to embed security, compliance and cost-governance throughout the delivery lifecycle
 </li>
 <li>
 Demonstrated leadership of engineering teams, with a commitment to fostering collaboration, mentorship and continuous professional growth
 </li>
 <li>
 Excellent communication and stakeholder-management skills, able to partner effectively with Product, Architecture, Quantitative Research and Operations
 </li>
 <li>
 Strong analytical and problem-solving mindset, with a passion for building scalable, reliable and secure systems
 </li>
 <li>
 Deep domain knowledge of finance and trading, particularly within the cryptocurrency sector
 </li>
 <li>
 Experience in fast-paced, dynamic financial or fintech environments is highly desirable
 
 
 </li>
 </ul>
 We would like the successful candidate to be based in the UK or Europe. Remote and flexible work options are available.
 
 
 Soft Skills &amp; Competencies
 
 
 <ul>
 <li>
 Ownership &amp; Reliability &ndash; Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise.
 </li>
 <li>
 Initiative &amp; Problem-Solving &ndash; Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions.
 </li>
 <li>
 Operational Diligence &ndash; Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team&rsquo;s processes.
 </li>
 <li>
 Curiosity &amp; Growth Mindset &ndash; Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you.
 </li>
 <li>
 Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team.
 
 
 </li>
 </ul>
 We would like the successful candidate to be based in the UK or Europe. Remote and flexible work options are available.
 
 
 
 Our recruitment philosophy
 
 
 
 We value self-awareness in our recruitment process. We seek people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who&rsquo;s driven, collaborative, and delivers solid, scalable outcomes.
 
 
 
 Our offer
 
 
 
 <ul>
 <li>
 A competitive salary package, with various benefits depending on the method of engagement (employee or freelancer).
 </li>
 <li>
 Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
 </li>
 <li>
 The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence
 
 
 </li>
 </ul>
 As an employer we are committed to build an inclusive, diverse and non-discriminating work environment. We welcome employees of all backgrounds, ethnicities, genders, creed and sexual orientation. We hire, reward and promote entirely based on merit and performance.
 
 
 Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
 
 
 https://keyrock.com/careers/
 
 
</div>

Technical Lead (Rust)

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.</div>
</div><div><div><h2 class="jobSectionHeader">Job Description - Grade Specific</h2>
</div><div>Plays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.</div></div></div></div></div></div></div>

Lead Machine Learning Engineer

HALCON

<div>
 
 Join Our Team as a Principle Engineer: Software &ndash; Lead Innovation in Software Development Test &amp; Evaluation!
 
 
 
 Are you a seasoned software engineering professional with a passion for driving excellence in
 
 Development Test &amp; Evaluation (DT&amp;E)?
 
 Do you thrive in high-stakes environments like military or aviation, where precision and reliability are paramount? If so, we want
 
 YOU
 
 to lead our Software DT&amp;E efforts as a
 
 Principle Engineer
 
 !
 
 
 
 About the Role:
 
 
 
 As our
 
 Principle Engineer: Software
 
 , you will play a pivotal role in managing and executing software DT&amp;E activities for both PC-based and embedded software systems. You will oversee software requirements management, test procedure development, and result reporting &mdash; all while leading a talented team of engineers through the rigorous testing lifecycle.
 
 
 
 What You&rsquo;ll Do:
 
 
 
 <ul>
 <li>
 Lead Software DT&amp;E Management Utilize cutting-edge traceability tools like Halcon to capture and manage product variant requirements, test procedures, and results. Organize resources and direct test engineers to ensure flawless execution.
 </li>
 <li>
 Drive Quality &amp; Compliance Develop templates and Verification Cross Reference Matrices (VCRMs), present test status updates to stakeholders, and steer the resolution of any software test shortcomings through structured deviation/concession processes.
 </li>
 <li>
 Mentor &amp; Lead Teams Share your expertise to mentor junior engineers, guide best practices, and elevate the team&rsquo;s capabilities through leadership and upskilling initiatives.
 </li>
 <li>
 Implement Robust Systems Engineering Craft and publish Test and Evaluation Master Plans (TEMPs) and embed sound software system engineering principles into all DT&amp;E processes.
 
 
 </li>
 </ul>
 
 Who You Are:
 
 
 
 <ul>
 <li>
 A self-motivated leader with 10+ years in software engineering (preferably 12+), including 3+ years in software DT&amp;E.
 </li>
 <li>
 An expert in managing complex software development, test procedures, and evaluation reports, with advanced knowledge of DT&amp;E processes.
 </li>
 <li>
 Experienced in the military or aviation sectors, holding at least a Bachelor&rsquo;s Degree in Electronic Engineering (Honors or Masters preferred).
 </li>
 <li>
 Skilled communicator and mentor, capable of motivating and directing test teams with clarity and confidence.
 </li>
 <li>
 Adept at resolving roadblocks and driving projects to successful completion.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Work within a highly technical, innovative, and impactful environment.
 </li>
 <li>
 Collaborate with passionate experts on critical software projects.
 </li>
 <li>
 Enjoy a 5-day work week with structured growth and leadership opportunities.
 </li>
 <li>
 Be part of a company that values advanced skills, ownership, and teamwork.
 
 
 </li>
 </ul>
 
 Ready to take your career to the next level?
 
 
 
 
 Apply now and become a key player in software excellence!
 
 
 
 
 #Halcon
 
</div>

Principal Engineer (Software)

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