Senior API & Data Services Engineer

Overview

We are at the forefront of transforming the future of technology in the financial industry. We seek curious, practical individuals to help us pave the way. Our team embraces calculated risk, enjoys challenges, and engages in problem-solving. Join us to be part of a transformative journey that can shape the industry s future.

Senior API & Data Services Engineer will design, build, and operate high-performance, secure, and scalable data access services within Celera s modernized event-driven data platform. This role focuses on developing API-first data services, caching layers, and access patterns that expose canonical operational data (transactions, positions, accounts, balances) to both operational and analytical consumers. The engineer decouples data producers from consumers to simplify the technology stack while meeting performance, security, and reliability requirements in a regulated financial services environment.

Strong experience with AWS-native services, distributed systems, and low-latency caching is required.

The ideal candidate is a senior, hands-on engineer who embraces AI-assisted development practices to improve delivery velocity, code quality, and platform reliability. They should bring strong experience in API-first platforms, distributed systems, and financial services where performance, security, and auditability are paramount.

• Design and implement API-first data services using REST and/or Graph
  
  QL patterns.
• Build secure, performant access to canonical data produced by TPM and PCB platforms.
• Implement versioned, contract-driven APIs to ensure backward compatibility and consumer stability.
• Ensure APIs and data services are fully documented and cataloged for enterprise-wide consumption and self-service.

• Design and implement Redis-based caching strategies to support low-latency data access.
• Tune APIs and caching layers to meet performance SLAs for near-real-time use cases.
• Balance cache consistency, freshness, and cost in distributed environments.
• Diagnose and resolve performance bottlenecks across API, cache, and backend layers.
• Enforce contract-driven access patterns to ensure consistent schemas, versioning, and backward compatibility.
• Leverage AWS streaming technologies (Kinesis, Kafka on AWS) to enable real-time data processing, particularly for broker-dealer and wealth management transactions.
• Develop and deploy services using AWS-native technologies, including API Gateway, Lambda, ECS/EKS, and databases (Dynamo
  
  DB, Aurora, S3).
• Build infrastructure-aware services that are resilient, scalable, and cost-efficient.
• Participate in CI/CD pipelines, infrastructure-as-code, and environment automation.

• Implement and manage role-based access control (RBAC) and entitlement-aware data access.
• Ensure APIs and data services comply with security, privacy, and regulatory requirements.
• Partner with Data Governance and Architecture teams to ensure consistent enforcement of enterprise standards.

• Plan, prioritize, and manage multiple API engineering projects to ensure timely and within-budget delivery.
• Collaborate with cross-functional teams to gather requirements specific to financial services, including regulatory and compliance needs.
• Manage team resources effectively, balancing development and operational support needs.
• Work closely with Data Architecture, Ingestion, Mastering, and Integrated Data teams.
• Partner with application and analytics teams to onboard consumers efficiently.
• Ensure alignment with enterprise security, governance, and data standards.
• Translate consumer needs into scalable platform capabilities rather than one-off solutions.
• Translate complex technical challenges into actionable insights for leadership and non-technical teams.

• Leverage AI-assisted development tools (e.g., Git Hub Copilot, code-generation and analysis tools) to improve code consistency and quality.
• Apply AI-supported testing, documentation, and refactoring techniques where appropriate.
• Collaborate with peers to evolve best practices for responsible and…