Senior Software Engineer, Emburse

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; equivalent practical experience considered
• 3+ years of professional software engineering experience
• Demonstrated experience building scalable, cloud-native applications
• Cloud Mastery: Expert-level knowledge of AWS services, including but not limited to IAM,
• EKS, Lambda, S3, SageMaker, CloudWatch
• Instrumentation & Observability: Deep experience with monitoring frameworks (e.g., Datadog, Prometheus, Grafana, CloudWatch)
• Infrastructure as Code: Proven ability to manage production infrastructure using Terraform, AWS CloudFormation, or equivalent
• Data-Driven Development: A strong record of building systems that generate and utilize instrumentation and telemetry to drive insights
• Product Orientation: Strong understanding of how technical choices affect product outcomes and customer experience
• Strategic Thinking: Ability to articulate technical vision and contribute to long-term technology planning
• GenAI Fluency: Enthusiasm and foundational understanding of Generative AI tools, frameworks, and their applications in enterprise software
• Clear Communicator: Excellent verbal and written communication skills, with the ability to collaborate effectively across roles and functions

Desirable

• As an Emburse Senior Software Engineer supporting our AI initiatives, you will be a hands-on technical leader responsible for driving the design and implementation of Emburse’s future-facing travel and expense platform
• You will collaborate cross-functionally with engineering, product, and infrastructure teams to develop scalable, cloud-native solutions that power core experiences and innovations for our customers
• Your expertise in AWS, observability, and infrastructure-as-code will ensure system reliability, performance, and maintainability at scale
• Additionally, you will serve as a mentor to engineering peers and help foster a culture of technical excellence and innovation across the organization
• Data Strategy: Design and implement infrastructure that enables robust, scalable data collection and insight generation to inform business and product decisions
• Product Collaboration: Partner closely with product management to refine scopes, break down complex engineering efforts, and deliver user-centric features efficiently
• Technology Foresight: Anticipate future business and technical needs by monitoring industry trends and proposing a forward-looking technical roadmap
• Monitoring & Observability: Instrument systems and services with comprehensive monitoring and diagnostics using industry-standard tools
• Infrastructure as Code: Own and enhance the team’s Infrastructure as Code (IaC) practices, ensuring consistent and scalable deployments
• Generative AI Integration: Explore, prototype, and integrate emerging GenAI technologies to unlock new product capabilities and operational efficiencies
• Cross-Functional Influence: Communicate technical ideas and decisions clearly to stakeholders across technical and non-technical domains