About Company:
Papigen is a fast-growing global technology services company delivering innovative, enterprise-grade digital solutions across industries. We specialize in technology transformation, enterprise modernization, and advanced capabilities including Cloud, Data Engineering, Artificial Intelligence, and Digital Platforms.
With deep domain expertise in financial services and complex enterprise environments, Papigen partners with organizations to modernize legacy systems, enable data-driven decision-making, and build scalable, secure, and high-performing applications. Our services span consulting, product engineering, data analytics, DevOps, and intelligent automation, helping clients accelerate innovation while ensuring operational excellence and regulatory compliance.
We adopt a client-centric approach that combines strategic thinking with hands-on engineering execution. Our teams work collaboratively across global delivery centers, leveraging Agile and SAFe methodologies to deliver high-quality solutions in fast-paced environments.
At Papigen, we foster a culture of innovation, continuous learning, and collaboration, providing professionals with opportunities to work on cutting-edge technologies, solve complex business challenges, and contribute to impactful digital transformation initiatives.
Job Title: Python Developer II (Calculation Engine & API Services)
Job Location: Hybrid - Washington DC
Role Summary:
We are seeking an experienced Python Developer to support the design, development, and enhancement of a modular calculation engine powering sustainability, efficiency, and scenario analysis workflows. The role focuses on building scalable Python services, REST APIs, reusable calculation libraries, and high-performance backend systems that support complex calculations, simulations, analytics, and reporting capabilities.
Scope of Work & Key Responsibilities:
- Design, develop, and support modular Python services and REST APIs for calculation engine capabilities.
- Translate business rules, formulas, dependency flows, and scientific models into scalable and maintainable software components.
- Develop calculation services for energy, water, materials, embodied carbon, cost analysis, baseline standards, scenario simulations, and anomaly management.
- Build reusable Python libraries, validation frameworks, data models, and configuration services.
- Develop and maintain APIs using FastAPI, Pydantic, and PostgreSQL.
- Integrate calculation services with enterprise applications through secure and well-defined API contracts.
- Optimize application performance through query tuning, caching, asynchronous processing, and service scalability improvements.
- Develop automated unit, integration, regression, and API test suites using PyTest.
- Support system integration testing, UAT activities, production deployments, and post-release support.
- Maintain technical documentation including API specifications, data dictionaries, deployment guides, and support runbooks.
- Implement logging, monitoring, auditability, exception handling, configuration management, and operational support processes.
- Participate in Agile ceremonies, code reviews, release planning, backlog refinement, and continuous improvement initiatives.
Required Skills & Experience:
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
- Minimum 5 years of professional Python development experience delivering production-grade backend applications or calculation services.
- Strong proficiency in modern Python, object-oriented design, modular architecture, dependency management, and coding best practices.
- Hands-on experience developing REST APIs using FastAPI.
- Strong knowledge of Pydantic, data validation, API versioning, authentication, and OpenAPI documentation.
- Strong SQL and PostgreSQL expertise including database design, indexing, query optimization, and transaction management.
- Experience building reusable Python libraries, utilities, packages, and frameworks.
- Experience with PyTest, configuration management, caching mechanisms, and application performance optimization.
- Ability to convert complex business rules, formulas, calculations, or scientific models into deterministic and testable software components.
- Experience with Azure services, Azure DevOps, CI/CD pipelines, monitoring, logging, and application deployment practices.
- Strong understanding of secure software development, resilience, auditability, and operational support models.
- Experience leveraging AI, Generative AI, intelligent automation, or developer productivity tools to improve engineering efficiency.
- Strong analytical, troubleshooting, communication, and documentation skills.
- Experience working within Agile delivery teams and distributed environments.
Preferred Skills:
- Experience with sustainability, energy efficiency, water management, materials, embodied carbon, or related calculation domains.
- Familiarity with simulation engines, analytical platforms, or environmental compliance frameworks.
- Experience with containerized deployments and cloud-native architectures.
- Exposure to data science workflows, predictive analytics, or AI-enabled engineering platforms.
Why Join Us:
- Opportunity to lead enterprise-scale cloud and AI transformation initiatives.
- Work on cutting-edge Agentic AI architectures and multi-cloud platforms.
- Collaborative environment with global teams and high-impact projects.
- Exposure to modern DevSecOps, platform engineering, and AI-driven solutions.
- Strong focus on innovation, leadership growth, and continuous learning in emerging technologies.
