intent
Hardware • B2B • Artificial Intelligence
intent is a software design and engineering company that specializes in creating connected devices at the intersection of physical and digital technology. With over a decade of experience, intent collaborates with startups and leading innovators to conceptualize, design, build, and scale digital products throughout their lifecycle. Their portfolio showcases a variety of successful projects, including wearables that provide medical insights and action communicators for outdoor activities. The team emphasizes professionalism, customer satisfaction, and efficient project delivery, making them a trusted partner in the technology and design sectors.
51 - 200 employees
🔧 Hardware
🤝 B2B
🤖 Artificial Intelligence
Senior Cloud Backend Engineer - Golang
Job not on LinkedIn
July 6
intent
Hardware • B2B • Artificial Intelligence
intent is a software design and engineering company that specializes in creating connected devices at the intersection of physical and digital technology. With over a decade of experience, intent collaborates with startups and leading innovators to conceptualize, design, build, and scale digital products throughout their lifecycle. Their portfolio showcases a variety of successful projects, including wearables that provide medical insights and action communicators for outdoor activities. The team emphasizes professionalism, customer satisfaction, and efficient project delivery, making them a trusted partner in the technology and design sectors.
51 - 200 employees
🔧 Hardware
🤝 B2B
🤖 Artificial Intelligence
📋 Description
• Build and maintain cloud infrastructure based on AWS. • Develop backend code and API interfaces that support the business logic of a mobile application. • In the case of our biggest project, occasional travel to the US is expected.
🎯 Requirements
• AWS Lambda (provisioned-concurrency, SnapStart), API Gateway (REST + WebSocket), ECS Fargate, CloudFront, Cognito federation • Time-series & relational data - designing schemas and retention policies in Amazon Timestream and Aurora Serverless v2 • ETL pipelines that land raw sensor blobs in S3 and publish Parquet/TFRecord “ML-ready” sets (Glue + Athena) • WebSocket (API Gateway) fan-out, device-command queues, signed firmware delivery, staged roll-back logic • Implementing field-level encryption with KMS, IAM least-privilege, WAF • Building GDPR/CCPA compliant solutions, consent receipt storage, data-minimisation life-cycles • Structured logging (JSON), CloudWatch/X-Ray tracing, metric alarms, cost-allocation tagging and Cost Explorer dashboards. • Load-testing & provisioned-capacity right-sizing • Terraform (modules, workspaces) and GitLab CI/CD • Secret rotation, SBOM generation, automated policy checks.
🏖️ Benefits
• 100% remote work & flexible working hours. • Knowledge-sharing initiatives.
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