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Software Engineer, Infrastructure

Ikigai Labs

Ikigai Labs

Software Engineering, Other Engineering
Cambridge, MA, USA
Posted on Wednesday, April 13, 2022

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.

We encourage applicants from all backgrounds and communities. We are committed to having a team that is made up of diverse skills, experiences, and abilities.


  • 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 check, unit tests, scale tests, heartbeat test, and performance tests 
  • Work to keep the platform secure and follow industry standard compliance practices 
  • Provide periodic support to our customer success team 


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


  • 2-4 years of experience with a bachelor's/master’s degree in Computer Science or Engineering 
  • Must have advanced experience with Python, AWS services, and/or ETL/ELT pipeline experiences  
  • Experience with Kubernetes and/or EKS/AKS (optional)  
  • Understanding fundamentals of 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