588 Data Infrastructure jobs in South Africa

Company Description
At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek.

Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems.

Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T).

What We Offer

• The opportunity to shape AI and data-driven transformation across Africa.
• Access to cutting-edge cloud technologies, training, and global expertise.
• A fast-paced, high-impact role in Africa's most prestigious consulting brand.
• Exposure to large-scale multi-industry projects and global delivery models.

What You Bring

• Strategic thinker with hands-on execution capabilities
• Strong communication, stakeholder engagement, and presentation skills
• Entrepreneurial mindset with a passion for innovation and growth
• High degree of intellectual curiosity, integrity, and drive

Job Description
We are seeking a high-impact Cloud Infrastructure Engineer with deep expertise in Google Cloud Platform (GCP) to join our AI & Data consulting practice as a Senior Consultant. This is a technical leadership role focused on the design, deployment, and optimization of scalable cloud infrastructure and services on especially GCP.

You will work alongside multidisciplinary teams of AI engineers, data scientists, and data engineers to build secure, production-ready platforms that power transformative AI and Data solutions for our clients across the African continent.

Key Responsibilities:
Cloud architecture & Engineering

• Architect and implement secure, scalable, and automated cloud infrastructure on GCP to support data platforms, AI/ML workloads, and cloud-native applications.
• Lead infrastructure design and provisioning using Infrastructure as Code (IaC) tools such as Terraform and Deployment Manager.
• Enable network design, security hardening, and CI/CD for cloud-native and hybrid environments.

GCP expertise

• Design, configure, and optimize core GCP services including:
• Compute Engine, Kubernetes Engine (GKE), Cloud Functions
• BigQuery, Cloud Storage, Pub/Sub, Cloud Run
• Cloud Monitoring, Identity and Access Management (IAM), VPC networking
• Apply best practices for cost optimization, monitoring, observability, and performance tuning across cloud environments.

Consulting & Delivery

• Translate business and functional requirements into robust cloud solutions.
• Collaborate with engagement managers, architects, and technical leads to ensure seamless delivery of cloud infrastructure within time and budget.
• Contribute to proposals, client presentations, and architecture documentation.

DevSecOps & Governance

• Integrate cloud governance frameworks including security controls, audit readiness, and compliance requirements (e.g., POPIA, GDPR).
• Implement DevOps pipelines with GCP-native and third-party tooling for CI/CD and automated testing.

Qualifications
Required:

• 5+ years of experience in cloud engineering or infrastructure roles with a strong GCP track record.
• Proven experience designing and deploying production-grade infrastructure using GCP services.
• Strong knowledge of Terraform, Linux administration, and container orchestration (e.g., GKE/Kubernetes).
• Solid experience with CI/CD practices, DevOps tooling, and infrastructure automation.
• Deep understanding of networking, identity, IAM, encryption, and cloud security fundamentals.
• Excellent problem-solving, communication, and consulting skills.
• Ability to operate in a high-performance consulting environment and engage directly with enterprise clients.

Advantageous:

• Experience with Azure cloud services or hybrid-cloud implementations.
• Experience supporting data engineering, AI/ML, or analytics platforms on cloud.
• GCP certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer).

Additional Information
At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.
Be careful of Recruitment Scams:
Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.

To help you look out for potential recruitment scams, here are some Red Flags:

• Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
• Requests for Personal Information: Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent's data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process.
• Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand.

If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new Software Engineer jobs in Cape Town, Western Cape, South Africa .

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new Software Engineer jobs in Cape Town, Western Cape, South Africa .

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new Software Engineer jobs in Cape Town, Western Cape, South Africa .

Cape Town, Western Cape, South Africa 1 week ago

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new Software Engineer jobs in Cape Town, Western Cape, South Africa .

Cape Town, Western Cape, South Africa 1 week ago

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new Software Engineer jobs in Cape Town, Western Cape, South Africa .

Cape Town, Western Cape, South Africa 1 week ago

Cape Town, Western Cape, South Africa 3 days ago

Cape Town, Western Cape, South Africa 1 month ago

Cape Town, Western Cape, South Africa 2 months ago

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Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new Software Engineer jobs in Cape Town, Western Cape, South Africa .

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Canonical Cape Town, Western Cape, South Africa

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Canonical Cape Town, Western Cape, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).

We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.

We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events
  
  

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
  
  

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new Software Engineer jobs in Cape Town, Western Cape, South Africa .

Cape Town, Western Cape, South Africa 1 week ago

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.