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The average salary range is between $ 60,338 and $ 96,253 year , with the average salary hovering around $ 90,000 year .
The average salary range is between $ 87,750 and $ 135,000 year , with the average salary hovering around $ 105,000 year .
this role is seeking someone 5-8 years of experience
Developer
no assessment
second intv needs to be onsite
hybrid - charlotte, nc
Job Description
Responsibilities
In today's world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports QEG's cloud enabled signal generation, back testing, data, and analytics platforms.
These platforms are used to manage QEG's active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization.
If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you.
We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud.
In this role, you will work within a full stack team alongside our Business Partners and Product Owners and an extremely motivated team of developers committed to working in an Agile environment.
You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production.
You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks. Ideal candidate will have a robust focus on delivering code that is observable, resilient, and secure.
Qualifications
Robust React Experience ,AWS Cloud & DevOps: Highly Skilled in Python (NumPy, Pandas, scikit-learn, Dash, Dask, Flask, Boto3, etc.)
Python Software development experience Experience building & supporting AWS architecture and using AWS services like EC2, CloudWatch, ECS, Sage Maker, ECS, Steps Functions, Lambda, Postgres Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Artifactory, Ansible Front-End Development:
Experience with developing web app in Dash, React, session management, okta & hosting in AWS Experience with optimized data architecture, data pipelines, Glue ETL, S3, Postgres, Athena (this is a plus), Caching Microservices design & orchestration Serverless architecture using AWS Lambda, SNS, SQS.
API Gateway implementation and secure API design. Knowledge of Investment domain specifically Equities is a plus.
Job Responsibilities
Responsibilities
In today's world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports QEG's cloud enabled signal generation, back testing, data, and analytics platforms.
These platforms are used to manage QEG's active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization.
If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you.
We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud.
In this role, you will work within a full stack team alongside our Business Partners and Product Owners and an extremely motivated team of developers committed to working in an Agile environment.
You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production.
You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks. Ideal candidate will have a robust focus on delivering code that is observable, resilient, and secure
