Company Description:

Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90 countries on topics like “No Code AI” and “Time Series Forecasting”.

Role Description:

Ikigai Labs is seeking a dynamic and passionate engineer with strong software fundamentals to join a high-performing data platform development team. We are looking for a team player who is a quick learner, performs in a rapid development cycle, has a drive to surpass expectations, and an eagerness to share their work and knowledge.

Responsibilities:

• Design and develop features, understand customer requirements, andmeet engineering roadmap goals
• Scale existing APIs and workflows to new size and speed by utilizing state of the art distributed computing data engineering techniques
• Analyze fault-tolerance and high availability gaps, challenges with scale and performance and solve them Ensure operational readiness of the platform services and meet the commitments to our customer SLA's

Technologies:

• Languages: Python3, SQL Databases: Postgres, DynamoDB, RDS
• Infrastructure: Kubernetes, Docker, RabbitMQ, GRPC Data: Dremio, Ray

Qualifications:

• 3 years industry experience designing and building distributed systems, Cloud based API services, and other enterprise cloud data platforms
• Experience building enterprise grade, reliable and trustworthy software or services Extremely strong fundamental computer science skills
• Fluency in Python
• Domain expertise in applying Machine Learning to Healthcare, Finance, or Supply Chain
• Previous experience working with Ray and other distributed computing frameworks for Machine Learning workloads
• Ability to work in a team environment, collaborate well, and mentor junior engineers through code reviews
• Ability to work on-site in our Cambridge, MA office
• Advanced degree in Computer Science or related field

Preferred (Nice to Have) Skills:

• PostgresSQL and/or other SQL databases technologies as well as internal implementations
• Data warehouse or Data Lake architecture, design, and past experience working on large-scale data processing solutions