Sr. Systems Engineer (AWS)/ Remote ,6+ Months C2H
Position
As a Senior Python Engineer will play a vital role in delivering key features and capabilities to our Separately Managed Accounts Platform. You will be encouraged to be creative in solving problems both in the optimization space as well as in data and micro-services, working with data scientists & quantitative portfolio managers to accommodate massive growth. As a member of the engineering team, you will have access to a massive dataset of financial data. You will be a key player in productionizing new features that deliver data & insights to improve portfolio optimization at scale.
In this role, you will be highly collaborative - with our Portfolio Optimization stream, Data Engineering stream, User Experience stream, and other engineering teams. Interpersonal skills and the ability to learn and act quickly are crucial to succeeding in this role.
Responsibilities include:
• Develop best in class software for distributed research and portfolio optimization models
• Building a highly scalable system for ingesting, transforming, and enhancing billions of data points
• Optimizing data pipelines for performance and scalability
• Providing mentorship to the team on best practices and architecture in Big Data systems
• Establishing automated mechanisms to monitor and improve data integrity across all services & systems
• Partnering with the Systematic SMA team to implement advanced algorithmic models
• Being a key contributor in defining a distributed optimization engineering roadmap and coordinating multiple projects
Candidate
The ideal candidate for this position has a background in a variety of systems including streaming, ETL, micro-services, modeling, and is proficient in software engineering best practices. This individual will enjoy building and optimizing highly technical big data systems, keeping up with the latest tools and techniques, and collaborating with a small team. We are looking for a self-starter who has the desire to be the go-to person for Python and interesting problems to solve in a fast-growing start-up making a tangible difference on working people's lives.
This position offers a very rare opportunity of migrating a platform and organization (Allspring is a new company!) to AWS and helping to shape the future for the data organization.
Required Qualifications:
• 5+ years of experience in Python engineering
• Deliver simple, sustainable and repeatable solutions and processes
• Experience with distributed data streaming frameworks like Spark Structured Streaming, Apache Flink, Kafka, etc
• Python combined with either Java, C#, or Rust (Rust is top preference)
• Experience with containers (Kubernetes, ECS, EC2, Docker, Podman, etc.)
• Experience with AWS technologies
• Experience with computing and large-scale systems
• Experience with automated testing for distributed systems in Spark (unit testing, end to end testing, QA, CI/CD)
• Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy
• Experience influencing software engineers best practices within your team
• Proven ability to quickly learn and adapt to new concepts
• Ability to take a project from scoping requirements through actual launch of the project.
• Strong distributed systems and web services design and implementation experience.
• Experience implementing servers in a Linux environment.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Apply Now
Apply Now
As a Senior Python Engineer will play a vital role in delivering key features and capabilities to our Separately Managed Accounts Platform. You will be encouraged to be creative in solving problems both in the optimization space as well as in data and micro-services, working with data scientists & quantitative portfolio managers to accommodate massive growth. As a member of the engineering team, you will have access to a massive dataset of financial data. You will be a key player in productionizing new features that deliver data & insights to improve portfolio optimization at scale.
In this role, you will be highly collaborative - with our Portfolio Optimization stream, Data Engineering stream, User Experience stream, and other engineering teams. Interpersonal skills and the ability to learn and act quickly are crucial to succeeding in this role.
Responsibilities include:
• Develop best in class software for distributed research and portfolio optimization models
• Building a highly scalable system for ingesting, transforming, and enhancing billions of data points
• Optimizing data pipelines for performance and scalability
• Providing mentorship to the team on best practices and architecture in Big Data systems
• Establishing automated mechanisms to monitor and improve data integrity across all services & systems
• Partnering with the Systematic SMA team to implement advanced algorithmic models
• Being a key contributor in defining a distributed optimization engineering roadmap and coordinating multiple projects
Candidate
The ideal candidate for this position has a background in a variety of systems including streaming, ETL, micro-services, modeling, and is proficient in software engineering best practices. This individual will enjoy building and optimizing highly technical big data systems, keeping up with the latest tools and techniques, and collaborating with a small team. We are looking for a self-starter who has the desire to be the go-to person for Python and interesting problems to solve in a fast-growing start-up making a tangible difference on working people's lives.
This position offers a very rare opportunity of migrating a platform and organization (Allspring is a new company!) to AWS and helping to shape the future for the data organization.
Required Qualifications:
• 5+ years of experience in Python engineering
• Deliver simple, sustainable and repeatable solutions and processes
• Experience with distributed data streaming frameworks like Spark Structured Streaming, Apache Flink, Kafka, etc
• Python combined with either Java, C#, or Rust (Rust is top preference)
• Experience with containers (Kubernetes, ECS, EC2, Docker, Podman, etc.)
• Experience with AWS technologies
• Experience with computing and large-scale systems
• Experience with automated testing for distributed systems in Spark (unit testing, end to end testing, QA, CI/CD)
• Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy
• Experience influencing software engineers best practices within your team
• Proven ability to quickly learn and adapt to new concepts
• Ability to take a project from scoping requirements through actual launch of the project.
• Strong distributed systems and web services design and implementation experience.
• Experience implementing servers in a Linux environment.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Apply Now
Apply Now