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ai engineer

<div>
 
 
 Company Overview:
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at
 
 www.dar.com
 
 .
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 The role of the AI Engineer at Dar will be to design, develop, and deploy artificial intelligence models and systems that automate workflows of design engineers through data-driven insights, and enhance design and project delivery efficiency. They leverage machine learning and data analytics to improve decision-making and productivity across projects life.
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop, evaluate, and deploy RAG pipelines for the AEC industry
 </li>
 <li>
 Develop, evaluate and deploy agentic AI solutions to automate AEC workflows
 </li>
 <li>
 Develop, train, and optimize machine learning and deep learning models for AEC applications.
 </li>
 <li>
 Collect, preprocess, and analyze large BIM data from design, construction, and operational sources.
 </li>
 <li>
 Monitor and refine deployed AI systems for performance, accuracy, and scalability.
 </li>
 <li>
 Research and evaluate emerging AI technologies relevant to architecture, engineering, and construction.
 </li>
 <li>
 Collaborate effectively with data scientists, AI and Automation engineers, computational designers, and design engineers to integrate advanced digital solutions into the broader system architecture and the enterprise internal workflows
 </li>
 <li>
 Stay current with AI trends and suggest improvements to existing systems and workflows
 </li>
 <li>
 Support project planning, documentation, and presentations.
 </li>
 <li>
 Contribute to mentoring and knowledge sharing within the team.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, or related field
 </li>
 <li>
 0-3 years professional experience with at least 3 of the following sectors: RAG, machine learning, deep learning, LLMs, NLP, reinforcement learning, and computer vision
 </li>
 <li>
 Proficiency in Python, C#/C/C++, SQL
 </li>
 <li>
 Experience building RAG pipelines, agentic RAG pipeline and/or agentic workflows
 </li>
 <li>
 Strong knowledge of AI frameworks such as TensorFlow or PyTorch, and ML libraries as scikit-learn and SciPy
 </li>
 <li>
 Experience working in relational and non-relational databases
 </li>
 <li>
 Experience building predictive analytics business solutions
 </li>
 <li>
 Excellent problem-solving skills and ability to work in a team environment
 </li>
 <li>
 Familiarity with AEC tools (Revit, Rhino, AutoCAD, Navisworks) is a plus.t
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
 
 
</div>

AI Engineer

COA Holding Company

<div>
 
 Job Title
 
 
 
 
 AI &amp; Automation Engineer
 
 
 
 
 Location:
 
 Hybrid &ndash; Hyde Park Office
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Experience Level:
 
 2+ Years
 
 
 
 Job Overview
 
 
 
 COA is seeking an experienced
 
 AI &amp; Automation Engineer
 
 with a strong background in marketing automation, CRM systems, and AI-driven workflows. This role will focus on scaling customer engagement, optimizing marketing and sales funnels, and improving operational efficiency through automation and intelligent systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement automation for marketing workflows, CRM pipelines, and lead management
 </li>
 <li>
 Integrate CRM systems with marketing platforms, including ad platforms, lead forms, booking systems, and funnels
 </li>
 <li>
 Automate email campaigns, WhatsApp follow-ups, notifications, and trigger-based workflows
 </li>
 <li>
 Build AI-powered solutions such as chatbots, customer segmentation models, and data enrichment processes
 </li>
 <li>
 Develop dashboards and reports to track leads, conversions, and campaign performance
 </li>
 <li>
 Analyze funnels, identify gaps, and implement data-driven optimization strategies
 </li>
 <li>
 Maintain stable automation environments using best practices in incident and change management
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 2+ years of experience in automation, RPA, CRM engineering, or marketing technology
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Hands-on experience with CRM platforms such as HubSpot, Salesforce, Zoho, Odoo, or similar
 </li>
 <li>
 Experience integrating marketing platforms (Meta Ads, Google Ads, LinkedIn Lead Forms, landing pages)
 </li>
 <li>
 Strong knowledge of automation tools (Zapier, n8n, Make, UiPath, Power Automate)
 </li>
 <li>
 Proficiency in Python or JavaScript
 </li>
 <li>
 Solid understanding of marketing funnels, customer journeys, and CRM data flows
 
 
 </li>
 </ul>
 
 Other Skills
 
 
 
 <ul>
 <li>
 Strong analytical and troubleshooting abilities
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience building AI chatbots for lead qualification or customer support
 </li>
 <li>
 Basic cloud knowledge (AWS, Azure, or GCP)
 </li>
 <li>
 Experience integrating ERP, POS, or payment systems with CRM platforms
 
 
 </li>
 </ul>
 
 Why Join COA?
 
 
 
 <ul>
 <li>
 Work on high-impact AI and automation initiatives
 </li>
 <li>
 Collaborate closely with marketing, sales, and business teams
 </li>
 <li>
 Drive real business outcomes by reducing manual work
 </li>
 <li>
 Be part of a forward-thinking organization with a hybrid work environment
 </li>
 </ul>
</div>

AI &  Automation Engineer

Inovola

<div>
 
 Job Overview
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 
 
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLMs for production-ready applications.
 </li>
 <li>
 Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
 </li>
 <li>
 Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments.
 </li>
 <li>
 Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
 </li>
 <li>
 Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
 </li>
 <li>
 Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
 </li>
 <li>
 Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
 </li>
 <li>
 Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
 </li>
 <li>
 Knowledge of LLM evaluation, prompt optimization, and context management strategies.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
 </li>
 <li>
 Understanding of generative AI models for text, image, or multimodal outputs.
 </li>
 <li>
 Familiar with traditional ML and computer vision.
 </li>
 <li>
 Strong problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 3+ years of hands-on experience in AI/ML model development and deployment.
 </li>
 </ul>
</div>

Mid/Senior AI Developer

Bosta

<div>
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience together to provide a one-stop shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 Job code: New 2026TECH-721
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Build AI-powered systems using NLP, LLMs, and agentic workflows
 </li>
 <li>
 Develop NLP solutions for tasks such as text classification, entity extraction, intent detection, summarization, and sentiment analysis
 </li>
 <li>
 Design and implement agentic AI systems that reason over conversations, historical data, and business rules
 </li>
 <li>
 Apply traditional machine learning techniques for prediction, classification, and optimization
 </li>
 <li>
 Use operations research techniques (optimization, heuristics, simulations) to support logistics and operational decision-making
 </li>
 <li>
 Collaborate with product, engineering, operations, and commercial teams to translate business problems into data science solutions
 </li>
 <li>
 Build end-to-end pipelines: data ingestion, feature engineering, modeling, evaluation, deployment, and monitoring
 </li>
 <li>
 Deploy models and AI services to production using cloud platforms and modern MLOps practices
 
 
 
 </li>
 </ul>
 
 Job Qualifications:
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in Data Science, Machine Learning, or applied AI roles
 </li>
 <li>
 Strong foundation in data science and statistics
 </li>
 <li>
 Solid experience with traditional machine learning (e.g., regression, tree-based models, clustering, time series)
 </li>
 <li>
 Strong Python skills and familiarity with common ML/NLP libraries (scikit-learn, spaCy, NLTK, Hugging Face, etc.)
 </li>
 <li>
 Understanding of software engineering fundamentals (APIs, version control, testing)
 </li>
 <li>
 Hands-on knowledge of NLP:Text preprocessing and feature extractionClassical NLP models and modern embeddingsExperience with tasks like classification, NER, topic modeling, or text similarityExperience working with LLMs for NLP tasks (prompting, fine-tuning or adaptation, chaining, tool usage)
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 ITI Data Science track graduate (or equivalent technical training or post-graduate studies)
 </li>
 <li>
 Knowledge of Operations Research (optimization, routing, scheduling, simulations)
 </li>
 <li>
 Experience with cloud computing (AWS, GCP, or Azure)
 </li>
 <li>
 Familiarity with model deployment and MLOps practices (Docker, CI/CD, monitoring)
 </li>
 <li>
 Experience building agentic AI or multi-step NLP systems
 </li>
 <li>
 Exposure to Arabic and multilingual NLP is a plus
 </li>
 <li>
 Experience with vector databases, retrieval systems, or RAG pipelines
 </li>
 <li>
 Familiarity with conversational AI or chat-based systems
 </li>
 <li>
 Background in logistics, marketplaces, or large-scale operations
 
 
 
 </li>
 </ul>
 
 Why Join the Data Science Team at Bosta?
 
 
 
 <ul>
 <li>
 Build high-impact AI, ML and Decision Support systems used daily by operations and commercial teams
 </li>
 <li>
 Work on real production use cases, not just experiments
 </li>
 <li>
 Grow your skills in AI and Data Science
 </li>
 <li>
 Ownership, autonomy, and collaboration in a fast-growing tech environment
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Associate Data Scientist

Finaira

<div>
 The Junior Software Engineer I will contribute to the development, testing, and deployment of high-quality software solutions under the guidance of senior team members. This role involves learning and applying software development principles and technologies within the context of AI and digital FinTech initiatives.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and implementing software solutions
 </li>
 <li>
 Assist in API development for integrating ML models
 </li>
 <li>
 Write clean, efficient, and well-documented code under supervision
 </li>
 <li>
 Participate in code reviews to learn and ensure quality
 </li>
 <li>
 Learn and apply basic software design patterns and best practices
 </li>
 <li>
 Write and execute unit tests and assist with other testing
 </li>
 <li>
 Debug and resolve software defects with guidance
 </li>
 <li>
 Assist in deploying software applications to various environments
 </li>
 <li>
 Collaborate closely with the team and communicate technical concepts clearly
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in computer science, Software Engineer 1ing, or a related field
 </li>
 <li>
 Experience: 0-2 years of experience, including internships or academic projects. Experience in the financial services industry is a plus
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript)
 </li>
 <li>
 Basic knowledge of software development frameworks (e.g., Spring, Django, React)
 </li>
 <li>
 Basic experience with databases (SQL)
 </li>
 <li>
 Understanding basic software design principles
 </li>
 <li>
 Familiarity with version control systems (e.g., Git)
 </li>
 <li>
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Developing problem-solving and analytical skills
 </li>
 <li>
 Ability to work independently and as part of a team
 </li>
 <li>
 Developing communication and collaboration skills
 </li>
 <li>
 Attention to detail and a willingness to learn
 </li>
 <li>
 Customer-centric approach to understanding needs
 </li>
 <li>
 Team player
 </li>
 <li>
 Developing a disciplined work ethic
 </li>
 <li>
 Good command of English language, both verbal and written
 </li>
 <li>
 Self-learner with a positive attitude
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Software Engineer I

PIPECARE Group

<div>
 
 PIPECARE Group
 
 is looking for an experienced
 
 Pipeline Integrity Engineer
 
 to join our team .
 
 
 By providing technology and service focused solutions to the international arena of the oil and gas industry, the PipeCare Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 20 years.
 
 
 
 Industry/sector:
 
 Oil &amp; Gas / In Line Inspection services.
 
 
 
 Pipeline Integrity Engineer
 
 is responsible for performing comprehensive Fitness-for-Service assessment studies on client&rsquo;s pipelines using API 579 and other international standards.
 
 
 
 Key Responsibilities &amp; Authorities
 
 
 
 <ul>
 <li>
 Perform FFP evaluations of clients&rsquo; assets based on Level 1 &amp; 2 assessments of damage mechanisms.
 </li>
 <li>
 Performing RSTRENG calculations per clients&rsquo; requirements
 </li>
 <li>
 Perform Abaqus simulation models for corroded components
 </li>
 <li>
 Integrate inspection data into Abaqus simulation and perform analysis for degraded components
 </li>
 <li>
 Evaluate repair options and make recommendations to clients.
 
 
 </li>
 </ul>
 
 Team leadership and collaboration
 
 
 
 <ul>
 <li>
 Develop training material related to Pipeline Integrity
 </li>
 <li>
 Lead, mentor, and train a team of Integrity Engineers within the corporation, ensuring their skills are up-to-date and that they are consistently applying high-quality standards
 </li>
 <li>
 Act as the primary subject matter expert (SME) on Integrity Engineering during internal and external audits
 </li>
 <li>
 Liaise with clients, project managers, and integrity engineers to understand project requirements and provide data-driven insights to support decision-making
 </li>
 <li>
 Communicate complex findings and data-driven narratives to senior management and other non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Skills/Experience
 
 
 
 <ul>
 <li>
 Minimum of Bachelor&rsquo;s Degree in Mechanical Engineering
 </li>
 <li>
 8 -10 years&rsquo; experience in Pipeline integrity in the Oil and Gas industry
 </li>
 <li>
 Experience in API 579, ASME codes, Abaqus
 </li>
 <li>
 Strong professional command of written and spoken English in addition to communication skills is a must
 
 
 </li>
 </ul>
 
 Physical and Mental Requirements:
 
 
 
 <ul>
 <li>
 Lifting and Carrying: Ability to lift and carry up to 50 pounds
 </li>
 <li>
 Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells
 </li>
 <li>
 Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively
 </li>
 <li>
 Focus and Multitasking: Ability to maintain focus and multitask effectively
 </li>
 <li>
 Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.
 </li>
 <li>
 Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary
 
 
 </li>
 </ul>
 
 About PIPECARE Group:
 
 
 
 PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.
 
 
 
 What we do:
 
 
 
 
 
 In-Line Inspection Services
 
 
 
 
 PIPECARE provides In-Line Inspection Services to locate, identify, and size threats, supporting integrity management requirements.
 
 
 Check out our AI Technology and other cutting-edge technologies by clicking the following YouTube Links:
 
 
 
 PIPECARE Group - YouTube
 
 
 
 
 SMART AI CALIPER - Inspection Experience Like Never Before
 
 
 
 
 
 Inspection Technologies
 
 
 
 
 Magnetic Flux Leakage (MFL): Detects and sizes general corrosion and metal loss anomalies, especially circumferentially oriented.
 
 
 Transverse Field Inspection (TFI): Detects and sizes general corrosion and metal loss anomalies, primarily axially oriented.
 
 
 Ultrasound (UT): Detects and sizes general and other metal loss anomalies with high depth sizing accuracy.
 
 
 Ultrasonic Crack Detection: Detects and sizes cracks and colonies of cracks.
 
 
 Caliper (Geometry): Detects and sizes deviations in the ideal circular shape of a pipeline (dents, ovalities, wrinkles, etc.).
 
 
 
 Specialized Tools and Technologies
 
 
 
 Combo Tools: Use multiple measurement systems in various combinations.
 
 
 Specialized Tubing Technologies: Designed for Furnace and Downhole Operations.
 
 
 
 Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
 
 
 
 Powered by JazzHR
 
 
 dVG7canwCE
</div>

Pipeline Integrity Engineer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 This is an exciting opportunity for a software engineer passionate about open source software, Linux, Python, and web services at scale. We are building the next generation management solution for Ubuntu in the enterprise - on premise and on the public cloud - to enable large estate observability, telemetry, security, compliance and operations. Build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.
 
 
 Landscape is the leading management tool to deploy, monitor and manage fleets of Ubuntu systems, including package and repository management, health and security monitoring, hardware inventory, and automation. As Landscape software engineer you will be responsible for contributing on a distributed development team participating in all facets of the development process.
 
 
 Location: This role will be based remotely in the Americas region.
 
 
 What you'll do
 
 
 <ul>
 <li>
 Collaborate proactively with a distributed team
 </li>
 <li>
 Write high-quality code to create new features, fix bugs and modernize the Landscape codebase
 </li>
 <li>
 Demonstrate your strong commitment to code quality and automated testing
 </li>
 <li>
 Participate in the engineering process with code and architectural reviews
 </li>
 <li>
 Take personal ownership of problems and design and deliver solutions
 </li>
 <li>
 Work remotely with global travel 2 to 4 weeks for internal and external events
 </li>
 <li>
 Assist with release management during each development cycle
 </li>
 <li>
 Collaborate with devops for Landscape SaaS, Canonical's hosted Landscape
 
 
 </li>
 </ul>
 Who you are
 
 
 <ul>
 <li>
 You love technology and working with brilliant people
 </li>
 <li>
 You are curious, flexible, articulate, and accountable
 </li>
 <li>
 You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
 </li>
 <li>
 You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
 </li>
 <li>
 You have proficiency developing public-facing APIs and web applications, preferably using Python.
 </li>
 <li>
 Experience with Python and web frameworks such as Flask and Django.
 </li>
 <li>
 Experience with databases, and ORMs (PostgreSQL a plus)
 </li>
 <li>
 You are comfortable with Ubuntu as a development and deployment platform.
 
 
 </li>
 </ul>
 What we offer colleagues
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Software Developer (Backend SaaS)

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