Key Responsibilities
- 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.
Education & Experience
- 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
Key Qualifications
- 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
Preferred Skills
- Experience with modern data platforms and data pipeline architectures.
- Hands-on experimentation or prototyping with GenAI and AI agent frameworks.
- Background working in travel, expense, or financial systems is a plus.
- Contributions to open-source projects or developer communities.
Top Skills
What We Do
Emburse humanizes work by empowering business travelers, finance professionals and CFOs to eliminate manual, time-consuming tasks so they can focus on what matters most.
Emburse brings together some of the world’s most powerful and trusted expense and AP automation solutions, including Abacus, Captio, Certify, Chrome River, Nexonia and Tallie. The company’s innovative offerings, which are uniquely tailored for specific industries, company sizes, and geographies, are trusted by more than 4.5 million users in more than 120 countries. Over 14,000 customers, from start-ups to global enterprises, including Boot Barn, Grant Thornton, Telefónica, Lufthansa Systems, and Toyota rely on Emburse to make faster, smarter decisions, empower business travelers to recapture lost nights and weekends spent doing tedious expense management, and help make users’ lives -- and their businesses -- better.