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Cloud Solutions Architect - Alliances

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Cloud Solutions Architect - Alliances

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Canonical 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 an

Cloud Solutions Architect in our Alliances team

to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.

Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to the edge. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.

We help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications. For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners. You will support various alliances and partners of Canonical to adopt our products and technologies, help business leaders to define joint go-to-market programs with partners from the technical standpoint.

We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.

Location : This is a home-based role, we are hiring worldwide.

What your day will look like

Understand Ubuntu, Linux, networking and services in real-world environments Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX Help partners to offer and architect joint solutions utilizing Canonical's technologies on top of the public clouds and in the data center Design and publish joint Reference Architectures and perform technical validations with various partners Prepare and run onboarding sessions/workshops with various partners' teams to promote Canonical products and solutions

If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Architect role at Canonical.

What we are looking for in you

Extensive experience with Linux (Ubuntu preferred), Kubernetes, Ceph, software automation Experience designing and implementing solutions on top of public or private clouds Python and bash understanding, troubleshooting skills Fluent written and spoken English Excellent communication and presentation skills High motivation, ability to multi-task and follow-up reliably on commitments Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs Interest in new technologies like LXD, Juju and Snaps Ability to travel globally up to 30% of the time Degree in Computer Science, Mathematics, Physics or related technical field experience

What we offer you

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. 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.

Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events

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.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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About the Role:

We are looking for a seasoned SAP Workzone Consultant with deep hands-on experience in implementing, configuring, and customizing SAP Workzone, ideally across 3 or more end-to-end implementation cycles. The ideal candidate will have a solid background in SAP BTP, UI5 development, and identity management via IAP/IPS, task center but with a primary focus on delivering user-centric Workzone environments.

Educational Qualification

Bachelor's degree

Required Professional Qualifications/Skills

8+ years of overall experience.

3+ full-cycle SAP Workzone implementations.

Strong experience with SAP Workzone configuration, workspace/page setup, widget/card management, and integration techniques.

Familiarity with SAP BTP Cockpit, service bindings, and destinations.

Hands-on experience with UI5 development and Fiori application integration.

Solid understanding of IAP (SAP Identity Authentication) and IPS (SAP Identity Provisioning) for user and role management.

Strong problem-solving and communication skills.

Experience with SAP Build Workzone Advanced Edition

Exposure to SAP Mobile Start, Launchpad service, or SAP Build Apps

Understanding of CDN integration, custom branding, or content federation

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About the Role: We are looking for a seasoned SAP Workzone Consultant with deep hands-on experience in implementing, configuring, and customizing SAP Workzone, ideally across 3 or more end-to-end implementation cycles. The ideal candidate will have a solid background in SAP BTP, UI5 development, and identity management via IAP/IPS, task center but with a primary focus on delivering user-centric Workzone

environments. Educational Qualification Bachelor's degree Required Professional Qualifications/Skills 8+ years of overall experience. 3+ full-cycle SAP Workzone implementations. Strong experience with SAP Workzone configuration, workspace/page setup, widget/card management, and integration techniques. Familiarity with SAP BTP Cockpit, service bindings, and destinations. Hands-on experience with UI5 development and Fiori application integration. Solid understanding of IAP (SAP Identity Authentication) and IPS (SAP Identity Provisioning) for user and role management. Strong problem-solving and communication skills. Experience with SAP Build Workzone Advanced Edition Exposure to SAP Mobile Start, Launchpad service, or SAP Build Apps Understanding of CDN integration, custom branding, or content federation

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Experience : 4-6yrs

Job description :

Must have skills:

• Look for 4+ yrs of experience in Pyspark, Python or Scala with Spark. Good exposure to Google Cloud (Mandatory)

• Mandatory experience in SQL

• Knowledge of GCP & BigQuery is mandatory

• Exposure to schemas like REST or GraphQL is an added advantage

Responsibilities:

• 4+ years of experience as a Data Engineer

• Cloud certification (GCP is an added plus)

• Proven experience with Apache Spark for big data processing

• Strong ability to write complex SQL queries for data manipulation and analysis

• Programming Languages: Expertise in at least one of the following: Scala (highly preferred), Python

• Excellent analytical and problem-solving skills. Ability to work with minimal or no support

• Preferred experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts

• Experience with big data processing tools and techniques

• Experience with Google Cloud Platform (GCP), particularly BigQuery for data warehousing and analytics

• Knowledge of AI/ML is a plus

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Experience: 4-6 years

Job Description:

Must Have Skills:

• 4+ years of experience in Pyspark, Python, or Scala with Spark
• Good exposure to Google Cloud (Mandate)
• Mandatory experience in SQL
• Knowledge in GCP & Big Query is mandatory
• Exposure to Schemas like REST or GraphQL will be an added advantage

Responsibilities:

• 4+ years of experience as a Data Engineer
• Cloud certification (GCP is an added plus)
• Disqualifiers at resume level: (Must have)
• Proven experience with Apache Spark for big data processing
• Strong ability to write complex SQL queries for data manipulation and analysis
• Expertise in at least one of the following programming languages: Scala (highly preferred), Python
• Excellent analytical and problem-solving skills; we expect engineers to work with minimal or no support
• Experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts
• Experience with big data processing tools and techniques
• Experience with Google Cloud Platform (GCP), particularly Big Query (BQ) for data warehousing and analytics
• Knowledge of AI/ML is an added plus

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Experience : 4-6yrs

Job description :

Must have skills:

• Look for 4+ yrs of experience in Pyspark, Python or Scala with Spark. Good exposure to Google Cloud (Mandate).

• Mandatory experience in SQL.

• Knowledge of GCP & BigQuery is mandatory.

• Exposure to schemas like REST or GraphQL is an added advantage.

• 4+ years of experience as a Data Engineer.

• Cloud certification (GCP is an added plus).

• Disqualifiers at resume level: (Must have).

• Proven experience with Apache Spark for big data processing.

• Strong ability to write complex SQL queries for data manipulation and analysis.

• Programming Languages: Expertise in at least one of the following: Scala (highly preferred), Python.

• Excellent analytical and problem-solving skills. Engineers should be able to work with minimal or no support.

• Preferred experience includes:

• Experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts.

• Experience with big data processing tools and techniques.

• Experience with Google Cloud Platform (GCP), especially BigQuery for data warehousing and analytics.

• Knowledge of AI/ML is a plus.

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Experience:

4-6 years Job Description: Must Have Skills: 4+ years of experience in Pyspark, Python, or Scala with Spark Good exposure to Google Cloud (Mandate) Mandatory experience in SQL Knowledge in GCP & Big Query is mandatory Exposure to Schemas like REST or GraphQL will be an added advantage Responsibilities: 4+ years of experience as a Data Engineer Cloud certification (GCP is an added plus) Disqualifiers at resume level: (Must have) Proven experience with Apache Spark for big data processing Strong ability to write complex SQL queries for data manipulation and analysis Expertise in at least one of the following programming languages: Scala (highly preferred), Python Excellent analytical and problem-solving skills; we expect engineers to work with minimal or no support Experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts Experience with big data processing tools and techniques Experience with Google Cloud Platform (GCP), particularly Big Query (BQ) for data warehousing and analytics Knowledge of AI/ML is an added plus

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Experience :

4-6yrs Job description : Must have skills: Look for 4+ yrs of experience in Pyspark, Python or Scala with Spark. Good exposure to Google Cloud (Mandatory) Mandatory experience in SQL Knowledge of GCP & BigQuery is mandatory Exposure to schemas like REST or GraphQL is an added advantage Responsibilities: 4+ years of experience as a Data Engineer Cloud certification (GCP is an added plus) Proven experience with Apache Spark for big data processing Strong ability to write complex SQL queries for data manipulation and analysis Programming Languages: Expertise in at least one of the following: Scala (highly preferred), Python Excellent analytical and problem-solving skills. Ability to work with minimal or no support Preferred experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts Experience with big data processing tools and techniques Experience with Google Cloud Platform (GCP), particularly BigQuery for data warehousing and analytics Knowledge of AI/ML is a plus

#J-18808-Ljbffr

Experience :

4-6yrs Job description : Must have skills: Look for 4+ yrs of experience in Pyspark, Python or Scala with Spark. Good exposure to Google Cloud (Mandate). Mandatory experience in SQL. Knowledge of GCP & BigQuery is mandatory. Exposure to schemas like REST or GraphQL is an added advantage. 4+ years of experience as a Data Engineer. Cloud certification (GCP is an added plus). Disqualifiers at resume level: (Must have). Proven experience with Apache Spark for big data processing. Strong ability to write complex SQL queries for data manipulation and analysis. Programming Languages: Expertise in at least one of the following: Scala (highly preferred), Python. Excellent analytical and problem-solving skills. Engineers should be able to work with minimal or no support. Preferred experience includes: Experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts. Experience with big data processing tools and techniques. Experience with Google Cloud Platform (GCP), especially BigQuery for data warehousing and analytics. Knowledge of AI/ML is a plus.

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