HedgeServ is a leading global fund administrator with more than $450 billion in assets under administration across all investment vehicles including Hedge Funds, Private Equity Funds, UCITS, Hybrid Credit Managers, Funds of Funds and Managed Account Platforms. We optimize our clients’ experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set. HedgeServ’s entrepreneurial and innovative spirit cultivates a productive and agile environment enabling its team to anticipate clients’ needs and consistently deliver solutions in real time. Led by the most experienced team of industry experts, HedgeServ with 1,500+ professionals around the globe expertly provides customizable solutions for their clients’ risk, portfolio management, middle office, investor relations, accounting, regulatory, compliance, and tax services. Since its inception in 2008, HedgeServ has received numerous accolades, including Top Overall Administrator and #1 rankings for Fund Accounting, Reporting & Reporting Technology, Client Service, Investor Services, Alternative Fund Expertise, and Regulatory Expertise.

HedgeServ is a progressive company with continuously evolving ways of working to ensure a future-focused mindset. Our employees benefit from a robust career development framework and clear learning paths which outline career trajectory, training and progression plans. HedgeServ supports employees through a variety of offerings, including remote and hybrid working arrangements, and fully paid comprehensive health and well-being benefits. HedgeServ was recognized as a Next Gen employer by RippleMatch on its list of 100 top workplaces for Generation Z for 2022. HedgeServ operates 13 offices in the United States, Grand Cayman, Ireland, Poland, Bulgaria, Luxembourg, Philippines and Australia.

Department Overview

The Database Services team is part of the Global Engineering division in Hedgeserv, providing 24/7 support for all Application DB systems. We are a growing team of 10 experienced DBAs located in 4 offices around the globe.  We collaborate with Systems Administration, Monitoring, and Development teams to diagnose and troubleshoot production issues, develop tools that proactively identify database issues, collect appropriate trending data for performance analysis, and plan and communicate rollouts of new software versions.

Job Description

We seek a MongoDB Snr. Engineer or Architect to work with development and other engineering teams to build and implement best practices for our MongoDB and other cloud database platforms. The right candidate has worked with automation tools such as Ansible and Terraform to achieve consistency across numerous clusters and platform deployments.

Key Responsibilities

• Work with development teams to ensure that applications are designed to be scalable and high-performing
• Design the database architecture for numerous applications using MongoDB
• Evaluate and recommend new technologies and tools that can improve the database architecture
• Develop and enforce data security and access controls
• Develop disaster recovery and business continuity plans
• Design database schema and data models
• Optimize database performance and ensure scalability
• Provide level3 support for production and nonproduction database environments on-premises and in the cloud

Job Requirements for the role:

• Proficiency in MongoDB Architecture, Design, &  Administration
• Query performance tuning
• Automation – Terraform, Ansible, AWS, Packer
• Conversion from RDBMS to MongoDB
• Mongo document design architecture best practices
• Working with command-level tools
• Open to working on other DB platforms
• Familiarity with Code Versioning Tools (e.g., Git, AWS)

Education:

• Bachelor's degree in computer science or a related field

Experience:

• 5+ years working with MongoDB
• Familiarity with Infrastructure as Code tools
• Familiarity with cloud platforms (AWS, Azure) for managing MongoDB deployments and enhancing scalability
• Worked in a fast-paced environment leveraging the Agile framework

Nice to haves:

• Erwin Data modeling and architecture
• RDBMS knowledge, Snowflake, PostgreSQL
• Agile Development environment.
• Knowledge of ETL (Extract, Transform, Load) processes and tools