We are hiring an early-career Solutions Engineer to work directly with our Equities Portfolio Management community in addition to other asset classes. In this role, you will focus on software development, Cloud (AWS/GCP), and AI/ML skills while collaborating with your Equities Embedded Cloud Teammates. Your responsibilities will include building and implementing on-prem solutions, cloud-based solutions, collaborating with internal teams, and supporting internal customers, all while working closely with an experienced Team Lead that will provide training, guidance and coaching.

To succeed in this role, you should favor working in dynamic settings, prioritizing tasks based on impact, expectations, and deadlines. The ideal candidate will have excellent communication skills in order to effectively convey complex concepts to technical and non-technical audiences. Furthermore, maintaining a proactive approach, customer-centric mindset, and ability to establish strong relationships with stakeholders will be vital to successful outcomes. By embracing continuous improvement and taking an entrepreneurial approach, you can navigate through uncertainty, extract valuable insights, and provide exceptional problem-solving for customers. Millennium prides itself on a strong culture so humility, integrity, and client/team-first mentality is paramount.

Responsibilities:

• Develop, and maintain internal cloud platform components primarily in Google Cloud and AWS; learn about architecture and design.

• Write code for infrastructure-as-code, software development, data analytics, machine learning, and automation scripts.

• Extract requirements, create project plans, timelines, and statement of work documents.

• Generate architecture ideas, build solutions, and make recommendations for Portfolio Management teams.

• Create re-usable assets and patterns to accelerate implementation and offer self-service options.

• Drive forward-momentum, remove blockers, and research limitations in the interest of improving customer experience.

• Develop solutions for machine learning and distributed compute use-cases in the financial industry.

• Prepare business presentations, emails, and demos for technical and non-technical audiences.

Qualifications:

• 3+ years of software development experience in Python, Java, C++, or similar languages.

• Experience creating presentations or demos for non-technical audiences.

• Passion for working directly with customers in a fast-paced environment.

• Knowledge or experience with Cloud (Google Cloud or AWS) preferred.

• Knowledge or experience with infrastructure-as-code tools like Terraform, AWS CDK, or CloudFormation.

• Knowledge or experience in designing architectures to solve practical business problems.

• Knowledge or experience in DevOps, Machine Learning/AI, Large-language models, core Networking concepts, and Data Pipelines.

• Knowledge or experience in systems engineering and Linux shell scripting.

• Strong analytical and troubleshooting skills.

• Join our team as a Solutions Engineer and make a significant impact in the Hedge Fund industry while growing your skills in software development, Cloud, and AI/ML.