Join a team building cloud-native systems, high-throughput data applications, and an expanding set of AI-driven and agentic tooling.
What You'll Do- Build scalable, high-complexity solutions that power near-real-time decision engines
- Help design and grow distributed systems, including: • Microservices and REST-based APIs
- Event-driven and streaming pipelines
- Mixed relational/NoSQL data storage strategies
- Work closely with architects and other teams to shape and refine system design
- Make independent architectural calls, weighing scalability, reliability, performance, and cost
- Develop backend services and data pipelines in Python, and user-facing features in React
- Build and run cloud-native applications on Azure using Kubernetes
- Create data workflows with Airflow or comparable DAG-based orchestration tools
- Work with modern data platforms such as MongoDB (or similar NoSQL databases) and Snowflake (or comparable analytics platforms)
- Take full ownership of services and codebases — reliability, scalability, and long-term maintainability included
- Break large projects into manageable pieces, help estimate timelines, and flag delivery risks early
- Apply rigorous testing practices (unit, integration, end-to-end) and hold code to a high bar
- Use AI development tools (like GitHub Copilot) to work faster and improve output quality
- Support the build-out of agentic and intelligent automation features
- Team up with data scientists and analysts to move models into production and support experimentation
- Bring statistical or data-science thinking to bear on system improvements where useful
- Build strong working relationships across engineering, product, data, and architecture
- Lead and participate in design discussions and code reviews
- Mentor other engineers and help raise the bar for the team
- Communicate clearly on status, risk, and technical tradeoffs
- Help plan, prioritize, and drive delivery for the team
- What You'll Need:
- 5+ years building and shipping production software
- 5+ years working with Python on backend services
- 5+ years with React or another modern frontend framework
- Experience with cloud-native development (Azure preferred) and Kubernetes
- Hands-on experience with technologies like MongoDB (or similar) and Snowflake (or comparable)
- Experience building data pipelines and workflow orchestration (Airflow or similar)
- Background designing and consuming APIs in distributed systems
- Comfort with CI/CD pipelines and modern DevOps workflows
- A track record of owning complex features or services independently
- Experience with AI-assisted development tools and building intelligent workflows (e.g., Copilot)
- Familiarity with agentic or LLM-based frameworks (LangChain, LangSmith, or similar) and orchestration tooling
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- Experience working alongside data science teams on production models
- Background in statistical modeling, experimentation, or data-driven decision-making
- Experience in pricing, logistics, or other high-scale transactional environments
- Strong communication skills and the ability to influence technical and product direction
- Experience mentoring engineers and supporting team growth
- Familiarity with monitoring tools like DataDog, Prometheus, or Grafana
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