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Job Description
A remote software engineering role focused on developing scalable, secure, and high-performance data streaming and telemetry services for IoT applications, primarily using Python and Golang within a globally distributed team at Canonical.
Key Responsibilities
- Design and architect high-performance service APIs for streaming data services
- Develop governance, auditing, and management systems within telemetry platforms
- Partner with infrastructure teams to build scalable cloud-based SaaS solutions and on-prem deployments
- Lead the implementation and optimization of new features from concept to production
- Review code and designs, and set engineering best practices
- Collaborate with cross-functional teams to develop technical solutions aligned with business goals
Requirements
- Design and architect scalable backend services, messaging data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
- Possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments secure connectivity, data streaming, governance, and compliance.
- Bring proven expertise in designing and optimizing systems using IAM models, encryption, access control, and compliance frameworks such as GDPR and HIPAA to ensure secure and compliant data handling.
- Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
- Design high-throughput, low-latency systems for IoT data processing.
- Experience with data streaming technologies such as MQTT, Kafka, and RabbitMQ.
- Experience with observability tools such as OpenTelemetry.
- Knowledge of industrial engineering data exchange protocols including OPC-UA and ModBus.
- Familiarity with Ubuntu as a development and deployment platform.
- Hold a Bachelor’s degree or equivalent in Computer Science, STEM, or a related field.
- Willingness to travel up to 4 times a year for internal and external events.
Benefits & Perks
Compensation is based on geographical location, experience, and performance, with annual reviews and more frequent reviews for graduates and associates
Performance-driven annual bonus or commission
Distributed work environment with twice-yearly in-person team sprints
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program
Wellness Platform
Opportunity to travel to new locations to meet colleagues
Travel upgrades for long-haul company events
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