Infrastructure Software Engineer
3 weeks ago
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
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