Staff Software Engineer, Enterprise Integration

Responsibilities

• Design, build, and operate cloud-native microservices on AWS to support enterprise integrations and APIs.
• Write high-quality, production-grade software in Java, Kotlin, and/or Python, applying proven software engineering patterns and best practices.
• Architect and implement event-driven and asynchronous systems using messaging and streaming platforms (e.g., Kafka or AWS-native equivalents).
• Apply distributed systems and integration patterns (e.g., idempotency, retries, backpressure, eventual consistency) to build resilient services.
• Design API-first services that expose well-defined domain capabilities for product, data, and enterprise consumers.
• Build and operate large-scale data exports and ingestion pipelines, supporting batch and near–real-time use cases.
• Integrate with external SaaS platforms (Salesforce, Zuora Billing/RevPro, NetSuite, etc.) using custom-built services, APIs, and events.
• Design systems with strong emphasis on observability, fault tolerance, security, and operational excellence.
• Participate in architecture and design reviews, influencing microservices and event-driven architecture standards.
• Design and manage data persistence layers, selecting appropriate database technologies based on access patterns and scale.
• Mentor engineers and elevate practices in system design, code quality, and reliability engineering.
• Drive DevOps best practices including CI/CD, infrastructure as code, and automated testing

Must-Have Qualifications

• Bachelor’s degree in Computer Science or a related field (Master’s preferred).
• 8+ years of professional software engineering experience, primarily focused on backend and distributed systems.
• Expert-level proficiency in Java, Kotlin, and/or Python
• Strong experience designing and operating microservices-based architectures in production.
• Deep hands-on experience with event-driven systems and asynchronous processing.
• Strong experience with queuing and messaging systems (e.g., message queues, pub/sub, streaming).
• Strong hands-on experience designing and building AWS-based systems at scale.
• Experience working with relational and NoSQL database technologies, including schema design, data modeling, and performance optimization.
• Solid understanding of software design patterns, integration patterns, and distributed data consistency models.
• Experience designing and operating high-volume data export and ingestion workflows.
• Proven experience delivering complex systems using Agile and modern SDLC practices.
• Strong communication and cross-functional collaboration skills.

     Preferred Qualifications

• Experience with Kafka or equivalent streaming platforms.
• Experience with AWS-native messaging and data services (e.g., SNS/SQS, EventBridge, streaming, object storage).
• Experience building internal platforms or shared integration frameworks.
• Familiarity with data consistency, reconciliation, and recovery strategies across distributed systems.
• AWS certifications (Solutions Architect, Developer, or equivalent).