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cloud services specialist data solutions

<div></div><div><div><div>Business Unit
</div><div>stc
</div></div><div><div>Sector
</div><div><div>BUSINESS
</div></div></div><div><div>Location
</div><div>Bahrain - Manama
</div></div><div><div>Contract Type
</div><div>Full Time
</div></div><div><div>Closing Date
</div><div>04-Sep-2025
</div></div><div><div>Job Objective:
</div><div>Lead the development and management of cloud-based data-driven solutions, leveraging on AWS partnership to create impactful customer offerings. The role will also involve collaboration with the presales team to design and position innovative products and solutions for our customers.
</div></div><div><div>Job Specifications:
</div><div><ul><li>Identify, define, and prioritize cloud-based products with a focus on data solutions.</li><li>
Lead the design, development, and deployment of scalable data products and services.</li><li>
Develop strategies to address key customer pain points in data storage, processing, and analysis.</li><li>
Partner with engineering teams to ensure the successful execution of the product roadmap.</li><li>
Collaborate with the presales team to create tailored cloud solutions for customers, focusing on AWS opportunities.</li><li>
Act as the primary technical advisor during client engagements, highlighting the unique value of proposed solutions.</li><li>
Engage with customers to understand their data challenges and align solutions to their needs.</li><li>
Conduct competitive analysis to identify opportunities for AWS related products and services.</li><li>
Gather feedback to refine and enhance product offerings.</li><li>
Perform other responsibilities as required by higher levels of supervision</li></ul>
</div></div><div><div>Role Impact:
</div><div><ul><li>The Product Specialist for Cloud-based data-driven solutions plays a crucial role in driving the adoption and success of our innovative product offerings.</li><li>
By leveraging deep technical expertise and understanding of market trends, this role will directly impact the development and enhancement of our product offerings.</li><li>
By collaborating with cross-functional teams including engineering, marketing, and sales, the Product Specialist ensures that our products will meet market demands, enhance customer satisfaction, and contribute to the overall growth of the organization.</li></ul>
</div></div><div><div>Key Job Competencies:
</div><div><ul><li>Technical Expertise: Deep understanding of Cloud technologies.</li><li>
Market Awareness: Knowledge of industry trends and competitive landscape related to cloud-based data driven solutions.</li><li>
Communication: Excellent verbal and written communication skills to effectively convey complex technical concepts to non-technical stakeholders.</li><li>
Problem-Solving: Strong troubleshooting abilities to identify issues and provide timely solutions.</li><li>
Collaboration: Experience of working in cross-functional teams and fostering a collaborative work environment</li></ul>
</div></div><div><div>Qualification &amp; Experience: 
</div><div> 
Bachelor&rsquo;s degree in Business Administration, Engineering, IT or any other relevant field.
Certification:<ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Machine Learning &ndash; Specialty</li></ul>
Minimum 8 years of relevant experience 
</div></div><div><div>About Application Process
</div><div>If you meet the criteria and you are enthusiastic about the role, we would welcome your application.</div></div></div>

Cloud Services Specialist (Data Solutions)

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 1000+ colleagues in 70+ countries and very few roles based in offices. 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. We are hiring
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </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 recognise 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>
 Employee Assistance Programme
 </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 its 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>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for Senior AI &amp; Cloud Systems Developer for our Bahrain operations with the following skillsets &amp; terms and conditions: 
Qualification: 
<ul><li>
Bachelor&rsquo;s in CS/IT/Engineering</li><li>
AWS Certified Solutions Architect &amp; AWS Development expert.</li><li>
TensorFlow or equivalent AI/ML certification</li><li>
Arabic and English speaker</li></ul> 
Years of experience : 8 Years 
Expert with 
AI/ML Competencies 
<ul><li>Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).</li><li>
Computer Vision (OpenCV, AWS Rekognition).</li><li>
Natural Language Processing (Hugging Face Transformers, spaCy).</li></ul> 
Programming &amp; Frameworks 
<ul><li>Python as a primary language.</li><li>
Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face.</li><li>
Strong experience in API-first development (REST, GraphQL, OpenAPI).</li></ul> 
Cloud Platforms 
<ul><li>AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS).</li><li>
Familiarity with Azure AI/ML services.</li><li>
Containerization &amp; orchestration (Docker, Kubernetes).</li><li>
Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ).</li></ul> 
Data Engineering &amp; Governance 
<ul><li>Building and maintaining data pipelines and ETL processes.</li><li>
SQL/NoSQL databases (PostgreSQL, MongoDB).</li><li>
Big Data frameworks (Apache Spark, Hadoop, AWS EMR).</li><li>
Data governance, quality assurance, and audit readiness.</li></ul> 
DevOps/MLOps 
<ul><li>CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.</li><li>
ML lifecycle management (ML flow, Kubeflow).</li></ul> 
Security &amp; Compliance 
<ul><li>Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO 27001, ISO 42001).</li><li>
Logging, monitoring, and explain ability of AI models for regulatory audits.</li></ul> 
Architecture &amp; Design 
<ul><li>Microservices-based architectures.</li><li>
Scalable, high-availability, and secure cloud-native systems.</li><li>
System documentation and knowledge transfer</li></ul> 
Project &amp; Collaboration 
<ul><li>Agile/Scrum delivery experience.</li><li>
Strong documentation, communication, and mentoring skills.</li><li>
Ability to work collaboratively with internal developers and transfer knowledge effectively.</li></ul> 
Responsibilities: 
AI/ML Development &amp; Deployment 
<ul><li>
Design, develop, and maintain AI-driven systems integrated with cloud platforms.</li><li>
Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases.</li><li>
Ensure robust MLOps practices (model monitoring, retraining, version control).</li></ul> 
Cloud Architecture &amp; System Development 
<ul><li>
Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure).</li><li>
Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability.</li><li>
Build microservices and APIs for seamless integration with existing systems and third-party applications.</li><li>
Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation).</li></ul> 
Governance, Compliance &amp; Security 
<ul><li>
Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO).</li><li>
Apply cloud security best practices including identity management, encryption, and secure APIs.</li><li>
Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models.</li></ul> 
 Collaboration &amp; Stakeholder Engagement 
<ul><li>
Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value.</li><li>
Translate business requirements into technical solutions and prototypes.</li><li>
Gather and evaluate user feedback to continuously improve systems.</li></ul> 
Leadership &amp; Knowledge Sharing 
<ul><li>
Mentor and guide junior developers in AI, ML, and cloud best practices.</li><li>
Lead training workshops and knowledge-transfer sessions for new systems and enhancements.</li><li>
Provide technical documentation, reports, and presentations to management and project committees.</li></ul> 
Continuous Improvement &amp; Support 
<ul><li>
Troubleshoot, debug, and upgrade existing systems and services.</li><li>
Recommend and execute performance and security improvements.</li><li>
Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development.</li><li>
Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed.</li></ul> 
Terms and conditions
Joining time frame: (15 - 30 days)</div>

Senior AI & Cloud Systems Developer

VAM Systems

<div>
 
 Job Description
 
 
 
 
 VAM Systems
 
 is currently looking for
 
 Senior AI &amp; Cloud Systems Developer
 
 for our
 
 Bahrain
 
 operations with the following skillsets &amp; terms and conditions:
 
 
 
 Qualification:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/IT/Engineering
 </li>
 <li>
 AWS Certified Solutions Architect &amp; AWS Development expert.
 </li>
 <li>
 TensorFlow or equivalent AI/ML certification
 </li>
 <li>
 Arabic and English speaker
 
 
 </li>
 </ul>
 
 Years of experience : 8 Years
 
 
 
 
 Expert with
 
 
 
 
 AI/ML Competencies
 
 
 
 <ul>
 <li>
 Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).
 </li>
 <li>
 Computer Vision (OpenCV, AWS Rekognition).
 </li>
 <li>
 Natural Language Processing (Hugging Face Transformers, spaCy).
 
 
 </li>
 </ul>
 
 Programming &amp; Frameworks
 
 
 
 <ul>
 <li>
 Python as a primary language.
 </li>
 <li>
 Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face.
 </li>
 <li>
 Strong experience in API-first development (REST, GraphQL, OpenAPI).
 
 
 </li>
 </ul>
 
 Cloud Platforms
 
 
 
 <ul>
 <li>
 AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS).
 </li>
 <li>
 Familiarity with Azure AI/ML services.
 </li>
 <li>
 Containerization &amp; orchestration (Docker, Kubernetes).
 </li>
 <li>
 Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ).
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Governance
 
 
 
 <ul>
 <li>
 Building and maintaining data pipelines and ETL processes.
 </li>
 <li>
 SQL/NoSQL databases (PostgreSQL, MongoDB).
 </li>
 <li>
 Big Data frameworks (Apache Spark, Hadoop, AWS EMR).
 </li>
 <li>
 Data governance, quality assurance, and audit readiness.
 
 
 </li>
 </ul>
 
 DevOps/MLOps
 
 
 
 <ul>
 <li>
 CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.
 </li>
 <li>
 ML lifecycle management (ML flow, Kubeflow).
 
 
 </li>
 </ul>
 
 Security &amp; Compliance
 
 
 
 <ul>
 <li>
 Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO 27001, ISO 42001).
 </li>
 <li>
 Logging, monitoring, and explain ability of AI models for regulatory audits.
 
 
 </li>
 </ul>
 
 Architecture &amp; Design
 
 
 
 <ul>
 <li>
 Microservices-based architectures.
 </li>
 <li>
 Scalable, high-availability, and secure cloud-native systems.
 </li>
 <li>
 System documentation and knowledge transfer
 
 
 </li>
 </ul>
 
 Project &amp; Collaboration
 
 
 
 <ul>
 <li>
 Agile/Scrum delivery experience.
 </li>
 <li>
 Strong documentation, communication, and mentoring skills.
 </li>
 <li>
 Ability to work collaboratively with internal developers and transfer knowledge effectively.
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 
 AI/ML Development &amp; Deployment
 
 
 
 <ul>
 <li>
 Design, develop, and maintain AI-driven systems integrated with cloud platforms.
 </li>
 <li>
 Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases.
 </li>
 <li>
 Ensure robust MLOps practices (model monitoring, retraining, version control).
 
 
 </li>
 </ul>
 
 Cloud Architecture &amp; System Development
 
 
 
 <ul>
 <li>
 Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure).
 </li>
 <li>
 Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability.
 </li>
 <li>
 Build microservices and APIs for seamless integration with existing systems and third-party applications.
 </li>
 <li>
 Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation).
 
 
 </li>
 </ul>
 
 Governance, Compliance &amp; Security
 
 
 
 <ul>
 <li>
 Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO).
 </li>
 <li>
 Apply cloud security best practices including identity management, encryption, and secure APIs.
 </li>
 <li>
 Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Stakeholder Engagement
 
 
 
 <ul>
 <li>
 Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value.
 </li>
 <li>
 Translate business requirements into technical solutions and prototypes.
 </li>
 <li>
 Gather and evaluate user feedback to continuously improve systems.
 
 
 </li>
 </ul>
 
 Leadership &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Mentor and guide junior developers in AI, ML, and cloud best practices.
 </li>
 <li>
 Lead training workshops and knowledge-transfer sessions for new systems and enhancements.
 </li>
 <li>
 Provide technical documentation, reports, and presentations to management and project committees.
 
 
 </li>
 </ul>
 
 Continuous Improvement &amp; Support
 
 
 
 <ul>
 <li>
 Troubleshoot, debug, and upgrade existing systems and services.
 </li>
 <li>
 Recommend and execute performance and security improvements.
 </li>
 <li>
 Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development.
 </li>
 <li>
 Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed.
 
 
 </li>
 </ul>
 
 Terms and conditions
 
 
 
 
 Joining time frame: (15 - 30 days)
 
</div>

Mind Stream

We&rsquo;re Hiring! | IFRS 15 Integration Specialist Location: Qatar Experience: 6+ years Duration: 1 year (extendable) Key Responsibilities: Lead finance systems integration projects with a focus on revenue recognition under IFRS 15. Apply strong understanding of IFRS 15 compliance and its impact on system processes. Work with revenue recognition modules such as SAP RAR, Oracle RMCS, or similar. Utilize integration technologies including APIs, ETL, and middleware to ensure accurate data flow. Manage and validate financial data to ensure compliance and reporting accuracy. Preferred Certifications: ERP Certifications: SAP RAR, Oracle Revenue Management CloudJob Type: Full-timeApplication Question(s):<ul><li>Do you have 6+ years of experience in finance systems integration with a focus on revenue recognition?</li><li>Are you familiar with IFRS 15 compliance and its impact on financial system processes?</li><li>Which revenue recognition module(s) have you worked with? (SAP RAR / Oracle RMCS / Other &ndash; please specify)</li><li>Do you have hands-on experience with integration technologies such as APIs, ETL, or middleware? </li><li>Have you worked on data migration or data management in finance/ERP systems?</li><li>Do you hold any relevant ERP certifications (e.g., SAP RAR, Oracle Revenue Management Cloud)? (Yes/No &ndash; Please specify)</li><li>What is your total years of ERP experience (SAP, Oracle, or similar)?</li><li>What is your current and expected salary (QAR/month)? Notice period?</li></ul>

IFRS 15 Integration - Specialist

<div>
 Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
 
 
 We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
 
 
 
 Location:
 
 
 This role can be filled in European, Middle East, African or any American region / time zone.
 
 
 
 What your day will look like
 
 
 <ul>
 <li>
 You will lead a team building scalable data solutions for Kubernetes and cloud machines
 </li>
 <li>
 You will hire, coach, mentor, provide feedback, and lead your team by example
 </li>
 <li>
 You will demonstrate sound engineering skill by directly contributing code when needed
 </li>
 <li>
 Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
 </li>
 <li>
 Advocate modern, agile software development practices
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 </li>
 <li>
 Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
 </li>
 <li>
 Grow a healthy, collaborative engineering culture aligned with the company's values.
 </li>
 <li>
 Be an active part of the leadership team and collaborate with other leaders in the organization
 </li>
 <li>
 Work from home with global travel twice yearly, for internal events of one or two weeks duration
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 A software engineering background, preferably with Python and Golang experience
 </li>
 <li>
 Experience running in production and at scale, preferably Big Data or MySQL
 </li>
 <li>
 Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
 </li>
 <li>
 Proven ability to build high-quality, open-source software
 </li>
 <li>
 Proven to drive good engineering practices around performance and quality
 </li>
 <li>
 An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
 </li>
 <li>
 The ambition to build products that improve how people operate software and infrastructure everywhere
 </li>
 <li>
 Love developing and growing people and have a track record of doing it
 </li>
 <li>
 Knowledgeable and passionate about software development
 
 
 </li>
 </ul>
 
 Additional Skills That You Might Also Bring
 
 
 
 <ul>
 <li>
 Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
 </li>
 <li>
 Prior experience working with open source and a will to build products with the community
 
 
 </li>
 </ul>
 What we offer you
 
 
 Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
 
 
 In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
 
 
 <ul>
 <li>
 Fully remote working environment - we've been working remotely since 2004!
 </li>
 <li>
 Personal learning and development budget of 2,000USD per annum
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues at 'sprints'
 </li>
 <li>
 Priority Pass for travel and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm that is 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 on a daily basis. 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.
 
 
 Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
 
 
 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>

Engineering Manager - Data Platform

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon Web Services (AWS) is looking for experienced and motivated technologists who possess a unique balance of technical depth and strong interpersonal skills. As a Solutions Architect at Amazon Web Services, you will have the exciting opportunity to assist and shape the future of a high potential set of digitally native customers. You will partner with various AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services.
 
 
 In collaboration with sales, you will drive revenue growth across a set of Enterprise Customers. As a trusted customer advocate, the solutions architect will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build a mindshare and broad use of AWS.
 
 
 The ideal candidate must be self-motivated with a proven track record in software/technology sales or consulting. The ability to connect technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 As a key member of the sales team, ensure success in building and migrating applications, software and services on the AWS platform in partnership with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS, Solutions Architects own the overall technical relationship between customers and AWS and make recommendations on security, cost, performance, reliability and operational efficiency.
 </li>
 <li>
 Educate customers of all sizes on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
 </li>
 <li>
 Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS
 </li>
 <li>
 Capture and share best-practice knowledge among the AWS solutions architect community.
 
 
 </li>
 </ul>
 A day in the life
 
 
 <ul>
 <li>
 In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.
 </li>
 <li>
 Enjoy working with dynamic digital customers. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of customers.
 </li>
 <li>
 Have a strong understanding of large-scale computing solutions. The ideal candidate will have past experience working as a systems engineer/architect.
 </li>
 <li>
 You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions.
 </li>
 <li>
 You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 About AWS
 
 
 Diverse Experiences
 
 
 AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
 Why AWS?
 
 
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
 Inclusive Team Culture
 
 
 Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
 
 
 Mentorship &amp; Career Growth
 
 
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
 Work/Life Balance
 
 
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
 
 Basic Qualifications
 
 
 
 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience
 
 
 3+ years of design, implementation, or consulting in applications and infrastructures experience
 
 
 10+ years of IT development or implementation/consulting in the software or Internet industries experience
 
 
 
 Preferred Qualifications
 
 
 
 5+ years of infrastructure architecture, database architecture and networking experience
 
 
 Experience migrating or transforming legacy customer solutions to the cloud
 
 
 Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
 
 
 Experience working in the Enterprise Greenfield space.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Web Services EMEA SARL Branch of a Foreign Company
 
 
 Job ID: A2940107
</div>

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