Senior Backend Software Engineer – Scalable Microservices

hace 2 semanas

Argentina spacedev A tiempo completo


Senior Backend Software Engineer – Scalable Microservices, AI & Data Modeling

 Location: Remote.
  Work type: Full-time
  Time zone: U.S. time zones (overlap required)

About the project

We're hiring a Senior Backend Engineer to join our internal team and work with one of our U.S.-based clients leading sustainability efforts through data, automation, and smart infrastructure. The role involves building and maintaining a scalable microservices architecture, developing new AI/ML capabilities, and contributing to statistical modeling that quantifies building performance over time.

You'll work closely with engineering, product, and customer-facing teams to develop robust backend services and evolve the platform's intelligence layer.

Who we're looking for

An experienced backend engineer who thrives in fast-paced environments, enjoys working on scalable systems, and brings a strong foundation in Python, AI/ML integration, cloud infrastructure, and statistics. You're comfortable maintaining existing codebases, but also proactive in building new backend capabilities that drive impact and insights.

Tech stack

  • Languages: Python (primary), Ruby, , Kotlin, Java (supporting/legacy)

  • Architecture: Backend microservices, RESTful APIs

  • Data & Modeling: NumPy, Pandas, MongoDB, time-series analysis, regression modeling

  • Cloud & DevOps: AWS (EC2, Lambda, CodeDeploy), Docker, MongoDB Atlas

  • AI/OCR: ML models, OpenAI, AWS Textract (or similar tools)

  • Testing & Documentation: Unit tests, integration tests, automated pipelines

What you'll do

  • Design and maintain Python-based microservices for data ingestion/export (Excel, XML, APIs)

  • Own backend components that generate metadata and platform insights

  • Develop new AI/ML capabilities to ingest data from various sources and align insights with platform goals

  • Maintain and enhance an existing AI/ML model already in production

  • Build statistical models (e.g., regression, time-series) to track performance and savings

  • Implement benchmarking logic comparing client and industry data

  • Conduct performance tuning and optimization of distributed services

  • Package and deploy services using Docker and AWS CodeDeploy

  • Build automation flows with AWS Lambda and MongoDB Triggers

  • Collaborate cross-functionally with product, frontend, and customer-facing teams

  • Participate in client implementations, gathering technical requirements and resolving issues

  • Contribute to code quality through test coverage and documentation

What you need

  • 5+ years building backend services in Python

  • Strong experience with backend microservices and REST API integration
    Proficiency with MongoDB and Docker

  • Familiarity with cloud platforms (e.g., AWS or similar)

  • Experience integrating AI/ML models or services (e.g., OpenAI) into backend systems

  • Comfortable writing clean, testable code and working in existing codebases

  • Strong foundation in statistics and probability, with experience using NumPy and Pandas

  • Familiarity with Agile development practices

  • Experience in technical, client-facing roles

  • Bachelor's degree in Computer Science, Engineering, or related field

  • Fluent English communication skills

Bonus points for

  • Experience with Ruby or microservices

  • Familiarity with Kotlin or Java for embedded logic

  • Background in building systems, energy tech, or sustainability platforms

  • Experience with OCR tools like AWS Textract

Interested?

Join our team and help drive real-world sustainability through data and engineering. This is a high-impact opportunity to work at the intersection of cleantech, SaaS, machine learning, and statistical modeling, in collaboration with a talented and mission-driven group. We offer a competitive salary, bonuses, stock options, excellent healthcare, and long-term growth opportunities.

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