Software Engineer

Company Description:

The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale.

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 infrastructure 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 scalable data integration (ETL/ELT) processes
• Improve and optimize an on-demand predictive modeling platform with Python
• Utilize Kubernetes to orchestrate scalable deployments and manage Docker containers
• Learn and leverage numerous AWS services to solve cloud-native problems, improve the testing platform which performs sanity checks, unit tests, scale tests, heartbeat tests, and performance tests
• Work to keep the platform secure and follow industry standard compliance practices (ISO 27001:2022 and SOC II + HIPAA)
• Provide periodic support to our customer success team

Technologies:

• Languages: Python3, SQL, GoLang, bash
• Cloud: Kubernetes, Helm, EKS, Terraform, AWS
• Databases: Postgres, Elasticsearch, DynamoDB
• Data Engineering: Apache Arrow, Dremio, Ray
• Misc.: Apache Superset, GRPC, Jenkins, Airbyte

Qualifications:

• A bachelor's/master’s degree in Computer Science or Engineering
• Must have advanced experience with Python, AWS services, and/or ETL/ELT pipelines
• Experience with Kubernetes and/or EKS/AKS (optional)
• Understanding fundamentals of system design patterns and testing best practices
• The ability to learn quickly in a fast-paced environment
• Excellent organizational, time management, and communication skills
• Willingness to discuss obstacles, find creative solutions, and take initiative
• The ability to receive and give both constructive and encouraging feedback
• Knowledge of streaming data processing and real-time analytics.
• Familiarity with data governance, security, and compliance best practices

Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law.

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