Ridgeline · 14 hours ago
Senior Platform Engineer, Data Persistence
New York, NY
Full-time
Hybrid
Senior Level
$146K/yr - $172K/yr
5+ years expRidgeline is the industry cloud platform for investment management, and they are seeking a Senior Platform Engineer on the Data Persistence team. In this role, you will design, build, and optimize data systems that support their enterprise SaaS platform while collaborating with application and infrastructure teams to deliver high-performance data solutions.
Artificial Intelligence (AI)Information TechnologySoftware
No H1B
Responsibilities
Design and develop cloud-native data storage solutions that deliver scalable, reliable, and performant persistence across a multi-tenant SaaS platform
Optimize data access patterns and collaborate with application teams to improve end-to-end performance at the application layer
Drive RPO and RTO improvements by establishing high-availability architectures, failover strategies, and disaster recovery plans
Support high-throughput, low-latency workloads through effective data partitioning, caching, and indexing strategies
Improve observability by investing in database monitoring, automation, and performance telemetry
Balance performance and efficiency by identifying and implementing cost optimizations across database infrastructure
Collaborate transparently with cross-functional teams to solve complex data challenges and share best practices
Mentor engineers, foster technical growth, and contribute to a resilient, inclusive culture of engineering excellence
Take ownership of critical systems, acting with accountability and a long-term mindset aligned with Ridgeline’s values
Qualification
Required
5+ years of experience in software or infrastructure engineering, with deep expertise in data persistence, distributed systems, or database engineering
Proven experience building and operating distributed, multi-writer OLTP SQL systems (e.g., SingleStore, CockroachDB) and single-writer systems (e.g., Postgres), with a strong understanding of replication, sharding, and consistency tradeoffs
Hands-on experience with OLAP or analytical data stores such as ClickHouse and/or Apache Iceberg on S3
Strong background in high availability and disaster recovery strategies, including cross-region replication, backups and point-in-time recovery, and clearly defined RPO/RTO targets
Solid experience with AWS services such as Aurora RDS, S3, ECS, Lambda, and related infrastructure
Proficiency in at least one programming language such as Kotlin, Java, or TypeScript
Experience using Datadog or similar tooling for database and storage observability
Proficiency with AI-assisted development tools such as Cursor, Claude, or GitHub Copilot
Strong problem-solving skills, clear communication, and a genuine interest in learning and continuous improvement
Preferred
Experience designing and operating high-throughput JVM services and data-access libraries, with deep knowledge of threading, connection pooling, and saturation behavior (e.g., HikariCP)
Background in event-driven architectures using Kafka or Pub/Sub, including familiarity with Debezium, Kafka Connect, schema registries, or CDC workflows
Experience in fintech, investment management, or other highly regulated data environments
Benefits
Unlimited vacation
Educational and wellness reimbursements
$0 cost employee insurance plans
Company Stock Plan
Company
Ridgeline
Ridgeline is a computer software company that specializes in software development to deliver for the investment management industry.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Dave Blair
Chief Executive Officer
Lisa Faucher
SVP, Enterprise Operations
Recent News
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