Senior Platform Software Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇪 Ireland – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Smartfrog&Canary (canary.is)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Smartfrog&Canary is an international IoT tech company dedicated to enhancing people's lives by making modern technologies useful, easy, affordable, and safe through their innovative products. Their mission focuses on transforming everyday objects and places into intelligent and connected environments, empowering users to access and control these technologies from anywhere at any time. With a strong presence in over 180 countries, Smartfrog&Canary has positioned itself as a leader in the consumer SaaS IoT market, particularly in home security and environmental intelligence, by employing AI-driven technology and user-friendly, affordable DIY subscription services.

📋 Description

• Grow, enhance, and add functionality to the cloud platform • Improve system stability and scalability • Introduce new technologies and methods to the system • Contribute to a large-scale, massively concurrent, high-reliability cloud-based system • Work across platform segments including video streaming, analytics, big-data storage, and IoT communication pipelines

🎯 Requirements

• BS/MS in Computer Science • 4+ years of work experience within a backend-focused software engineering team • Background in building distributed, scalable, and secure backend systems • Understanding of data streaming architectures and methodologies • Responsible AI tooling, discipline, and model integration • Proficiency in Python or Go • Experience working with the AWS stack and understanding how services fit together and when to use each one • Exposure to Kafka, Scylla, Redis, MySQL, and DynamoDB • Experience designing RESTful APIs • Strong testing fundamentals • Passion for cybersecurity • Hands-on experience with K8S • Knowledge of data pipelines and warehousing • Interest in connected devices and home automation • Exposure to machine learning systems deployed at scale • Prior startup experience

🏖️ Benefits

• Fully remote working model with flexible working hours • The exciting chance to help build an international brand and develop new products and services • Flexible, agile and young company with a flat hierarchy and excellent developmental prospects • Personal and professional development, including mentoring opportunities, career development discussions, instructor-led workshops and webinars • Subsidy of language courses • Participation in conferences and access to other educational materials • 27 days of paid vacation • Educational leave • Option of unpaid vacation • Regular company events • Birthday and anniversary recognition for employees