Top Software Engineer Jobs
The Analytics Engineering Manager will lead a team to drive growth using data by managing analytics projects. This role involves collaborating with business stakeholders, implementing data-driven solutions, and executing plans involving data ingestion, governance, and machine learning, alongside coding in Python and SQL. Responsibilities include project management, developing dashboards, and presenting outcomes to senior leadership.
The Performance Test Engineer will lead the development and execution of performance testing strategies on the iCapital platform, utilizing various testing tools, collaborating with teams to integrate performance testing into the CI/CD pipeline, and providing analysis and recommendations for optimization.
The Backend Engineer at iCapital is responsible for designing and implementing systems, building API-based applications, and collaborating with product management to support the Integrated Education team. The engineer will develop cloud-native services and participate in testing and code reviews.
As a Software Developer in Test, you will build and implement automated test suites, integrate them into current build and deployment processes, and maintain them according to system changes. You will also perform various types of testing and support feature-based testing by collaborating with engineers and product managers.
The Platform Infrastructure Cloud SRE Engineer role involves developing highly available solutions, maintaining site reliability, automating cloud infrastructure, and operating Kubernetes environments. Responsibilities include improving developer productivity and participating in on-call rotations for system understanding and automation tool development.
The Data Integration Engineer Vice President role involves leading client integration meetings, managing complex technical queries, and overseeing API and data model implementations. The role focuses on developing and maintaining integration solutions within the alternative investments ecosystem, ensuring performance optimization, scalability, and effective communication with stakeholders.
As an AI/ML Engineer, you will focus on building and integrating AI/ML tools and workflows, engineering core AI products, and contributing to the design and deployment of machine learning models. You will collaborate with various teams to deliver scalable solutions and mentor junior engineers, while ensuring robustness and scalability in production environments.
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