Required Skills: Java, Python, Kubernetes, AWS, familiar with interacting with S3

Job Description

Role :: Software Engineer IV

Position :: Contract 12+ Months

Location :: Remote

Must Have Skill :: Java, Python, Kubernetes, AWS, familiar with interacting with S3

Qualification and Education ::

BS, MS, or PhD degree in Computer Science or equivalent and 3+ years experience in data technologies

“Supplemental” Skills, Plusses :: 

• Strong verbal and written communication skills 
• Ability to work independently and as part of a team 

Detailed Job Description :: 

Job Summary

We are a diverse collection of thinkers and doers, continually reimagining our products, systems, and practices to help people do what they love in best user-friendly efficient way. It is a deeply collaborative place, where everything we build is the result of people in different roles and teams working together to make each other’s ideas stronger. That same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it.

AIML Data Infrastructure provides the foundation and core technologies all higher level abstractions run on. We strive to provide the best experience to our stakeholders. Our objective is to provide our engineers and data scientists a highly stable, reliable and performant platform to perform both analytics and data engineering activities on. Our goal is simple, provide a world class infrastructure to enable our engineers and data scientists to do their best work.

Are you a passionate about automation, optimizations and tuning? Come join us and be part of the Data Infrastructure journey.

Key Qualifications

• Passionate about Data Compute and Storage Technologies (Object Storage, Caching, Optimization)
• Experience configuring and troubleshooting Spark jobs when interfacing with our storage infrastructure
• Experience optimizing, tuning and automating a large distributed compute environment
• Experience in configuration management (Spinnaker, Helm, Terraform, Crossplanes, Puppet or similar)
• Experience with alerting, monitoring and remediation automation in a large-scale environment
• Fluent in at least one scripting or systems programming language (Python, Java, Go, etc.)
• Interest or knowledge in using public or private Kubernetes frameworks for scaling data and services infrastructure

Job Description

You will be responsible for the data abstraction layer of our storage platform used for analytics and machine learning teams. To run our environment efficiently, we drive for proper monitoring, alerting and automation. The team’s goal is to ensure the reliability and performance at the highest level.

 As a member of the AIML Data Virtualization Infrastructure Team:

• You will manage one of Company's largest ML infrastructure supporting hundreds of millions of customers
• You will diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance
• You will take part in designing and building out our next generation ML Data Platform and push our services to the next level
• You will advise other teams on proper integration of our platform
• You will manage the core infrastructure which powers all Machine Learning, ETL, Analytics, and Privacy Efforts within AIML Education
• BS, MS, or PhD degree in Computer Science or equivalent and 3+ years experience in data technologies

Thank You,

Swatantra Verma

Technical Recruiter

Intelliswift Software Inc

5103704516

swatantra.v@intelliswift.com