Description

Join Our Mission at Sensi.AI

At Sensi.AI, we are on a mission to transform how society cares for every older adult in need. We leverage the power of AI and data to ensure safety, dignity, and satisfaction in every caregiver-care recipient interaction. If you’re passionate about making a meaningful impact and want to help shape the future of elder care, we invite you to join our team. Here, you’ll be part of a culture that values innovation and compassion, and you’ll find exciting opportunities for professional growth as we work together to create an ideal care environment for older adults.

About The Role

As a Senior Backend Developer at Sensi.AI, you will play a vital role in building and developing our core infrastructure. You will be part of our fast-growing R&D team, contributing to the design and implementation of scalable platform services that directly impact the effectiveness of our cutting-edge product. This is an opportunity to drive technological and architectural changes in a collaborative, creative environment, influencing the future of AI technology for older adults.

Key Responsibilities

• Design and develop backend services and infrastructure in a cloud environment (AWS).
• Serve as a technical focal point for software development best practices and design of key components, services, and systems.
• Take full ownership and responsibility for multiple development projects.
• Research new technologies, create prototypes, and develop them into production functionalities.
• Contribute to server-side development using microservices architecture, applying the latest industry trends.

Requirements

• Experienced Software Engineer: 4+ years of experience in software engineering, with a proven ability to design and develop high-performance distributed systems. Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field. 
• Your Playground: Proficient in at least one scripting language such as Python or Java, with 3+ years of experience. Passionate about new technologies and data, with a basic background in AI considered a plus. Experience as a data engineer (e.g., Spark, Snowflake) is advantageous.
• Cloud & Infrastructure Expert: Demonstrated experience working with cloud environments such as AWS, GCP, or Azure. Experience with build systems and CI/CD tools (e.g., Jenkins, TeamCity). Skilled in containerized environments using Kubernetes and familiar with message queuing systems like SQS or Kafka.  
• Database & Data-Driven: Experience with message queuing systems (SQS/Kafka). Familiarity with SQL, NoSQL, and analytics databases.
• Continuous Integration & Quality Advocate: Demonstrates attention to detail and a strong commitment to delivering high-quality work.
• Collaborative Leader & Communicator: Strong collaboration, communication, and leadership skills, both English and Hebrew