Aimed at senior-level database engineers with cloud infrastructure and DevOps experience who thrive in collaborative, mission-critical environments.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Soros Fund Management via Greenhouse
Company Overview
Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1973. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy.
Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations.
At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies.
Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.
Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.
Team Overview
This individual will report to the Head of Cloud SRE, Database, & DevOps Engineering. Other key relationships will include cybersecurity analysts and software development engineers.
Job Overview
We are seeking a Senior Level Database Engineer to join our engineering team, with a primary focus on designing, building, and managing mission-critical database platforms that underpin our trading and investment systems.
This role is database-first, centered on engineering, performance, and reliability of enterprise data platforms, including Microsoft SQLServer, Snowflake,and Databricks and/or similar experience with RDMS technologies (e.g., Sybase, DB2).
Beyond database engineering, the role extends into cloud infrastructure (AWS) and DevOps practices for cloud-native relational systems such as AWS Aurora and RDS PostgreSQL; enabling scalable, automated, and well-governed environments for data-intensive workloads.
Desired experience in migrating RDMS to AWS/Azure cloud database solutions. In addition, desired experience with AI database technologies such as Vector DBs/Embeddings, Retrieval Augmented Generation (RAG), data streaming, data governance.
This is a hands-on engineering role requiring solid expertise in database systems, strong cloud fundamentals, and an ability to partner closely with application, data, and platform teams to deliver performance, secure, and efficient data solutions.
Major Responsibilities
Database Engineering & Data Platforms (Primary Focus)
Design, build, and operate enterprise-grade database platforms with a focus on:
SQL Server, Databricks and Snowflake (core systems)
AWS Aurora and RDS PostgreSQL
Additional platforms such as Sybase, DB2, and similar technologies
Manage and optimize database performance, scalability, and availability across on-premises and cloud environments
Implement best practices for query optimization, indexing, schema design, and workload management
Own database lifecycle management including provisioning, patching, upgrades, and capacity planning
Design and execute backup, recovery, and disaster recovery strategies
Desired experience in migrating RDMS to AWS/Azure cloud database solutions.
Collaborate with data and application teams to model and evolve data architectures supporting trading, analytics, and reporting workloads
Ensure strong data governance, security, and access controls across all platforms
What We Value
Preferred experience with:
Cloud Engineering
Design and manage database infrastructure and supporting systems in AWS (preferred) and/or Azure
Deploy and manage cloud-native database services (Aurora, RDS, Snowflake integrations)
Build scalable, resilient architectures supporting high-performance data workloads
Implement infrastructure as code using Terraform or similar tools
Optimize cloud resource utilization and cost efficiency for database and data platforms
Support hybrid and multi-cloud data architectures
DevOps & Automation
Develop automation for database provisioning, configuration, and operations
Build and maintain CI/CD pipelines supporting database changes and data platform deployments (CDTKF, Dagster, Airflow, etc)
Promote version-controlled database development and Git-based workflows
Enable repeatable deployment patterns for schema changes and data pipelines
Improve engineering efficiency through tooling, automation, and standardization
Monitoring, Performance & Reliability
Implement monitoring, alerting, and observability for database systems using tools such as Datadog, CloudWatch, LogicMonitor or similar
Proactively identify and resolve performance bottlenecks across database and data platforms
Ensure high availability and resilience of critical data systems
Partner with cybersecurity teams to implement secure database configurations, encryption, and compliance controls
Data & Emerging Platforms
Support modern data ecosystems, including Snowflake and Databricks and cloud-native analytics platforms
Enable data pipelines and integration patterns for structured and unstructured data
Evaluate and adopt emerging technologies relevant to data engineering and analytics
Nice to Have:
Data Platforms & Analytics
Familiarity with modern data architectures (data lakes, lakehouses)
Experience integrating Snowflake or similar databases (Redshift, BigQuery, etc) with cloud data pipelines
Financial Services
Experience supporting trading or investment systems
Understanding of financial data flows, market data, or trading platforms
We anticipate the base salary of this role to be between $225,000-250,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.
In all respects, candidates need to reflect the following SFM core values:
Smart risk-taking // Owner’s Mindset // Teamwork // Humility // Integrity