Staff Software Engineer, Storage Abstractions

Responsibilities

• Set technical direction for storage access and lead high-impact initiatives from strategy through delivery.
• Evolve storage abstractions so service teams can use consistent capabilities across languages, API versions, and storage backends.
• Design stable interfaces and guardrails that improve data correctness, reliability, observability, and performance by default.
• Build agent-accessible SDKs, frameworks, and developer workflows for safe, effective use of storage infrastructure.
• Partner with senior leaders, engineers, product teams, and core infrastructure teams on cross-organizational data architecture challenges.
• Mentor engineers and raise standards for technical design, execution, and operational excellence.

Requirements

• 12+ years of professional software engineering experience.
• 5+ years leading technical strategy and delivery for complex, cross-team engineering initiatives.
• Experience leading engineering teams working on API design, SDKs, abstractions, frameworks, or client libraries.
• Experience designing reliable distributed systems focused on data correctness, performance, and safe evolution of critical infrastructure.
• Experience designing developer infrastructure for AI or agentic workflows and helping define technical direction.
• Track record of understanding customer needs and delivering simple, reliable experiences.
• Hands-on experience building infrastructure and products for internal or external customers.
• Proven delivery of pragmatic solutions that accelerate business growth.
• Ability to move between high-level discussions and detailed coding.
• Strong written and in-person communication, problem-solving, and critical-thinking skills.
• Proficiency in at least one of Java, Ruby, or Python.

Preferred Qualifications

• Experience with MongoDB or large-scale storage systems such as DynamoDB, Elasticsearch, RocksDB, or relational databases.
• Experience guiding adoption of shared developer platforms across large internal engineering organizations.
• Experience developing observability and operational tooling.
• Experience in financial technology or environments where data correctness and reliability are critical.
• Experience influencing product and organizational decisions with senior leaders and broad stakeholder groups.
• Experience leading partially remote and distributed teams.
• Experience managing incident response processes and on-call rotations.