Developer Standard III

Mindlance; Washington (District of Columbia); Hybride; USD 140 000 - 170 000; Plein temps

Résumé du poste

Mindlance is seeking a Senior Python Developer to join the EDGE V4 Calculation Engine team in Washington, DC, on a hybrid arrangement (4 days per week on site, moving toward full on-site). The role focuses on designing, building, and maintaining modular Python services and REST APIs for energy, water, materials, and related calculation components.

The ideal candidate has 8+ years of Python development experience, strong SQL/PostgreSQL skills, and hands-on work with FastAPI, Pydantic, and CI/CD

Qualifications

• Minimum 8 years of professional Python development experience delivering secure, scalable backend applications or calculation services.
• Strong proficiency in modern Python, object-oriented design, modular architecture, and coding standards (PEP 8).
• Hands-on experience developing REST APIs using FastAPI or equivalent framework, including validation, versioning, authentication, and OpenAPI documentation.
• Strong knowledge of SQL and PostgreSQL, including data modelling, queries, indexing, and performance optimization.
• Experience identifying automation opportunities using AI and scripting to improve productivity and code quality.
• Experience with Pydantic, PyTest, configuration management, and reusable Python utilities.
• Experience with Microsoft Azure services, DevOps, CI/CD pipelines, and security-focused development.

Responsabilités

• Design, develop, enhance, and support modular Python services and REST APIs for the EDGE V4 Calculation Engine.
• Translate building science formulas and rules into maintainable Python components.
• Develop calculation capabilities across energy, water, materials, and related domains as prioritized by backlog.
• Build reusable libraries, data models, and datasets using Python, FastAPI, Pydantic, SQL, and PostgreSQL.
• Integrate services with the EDGE V4 application via API contracts and secure authentication.
• Optimize performance, caching, and scalability for global usage and high-volume scenarios.
• Create and maintain automated tests and support system integration testing and UAT.
• Maintain technical docs, API specs, and deployment notes.

Connaissances

Python development

REST APIs

FastAPI

SQL PostgreSQL

OpenAPI documentation

Azure Cloud

PyTest

Pydantic

Caching

Security best practices

Outils

Azure DevOps

Azure App Service

Container platforms

CI/CD pipelines

Logging

Description du poste

Position Summary

Position Title: Developer Standard III - Python Developer

Duration: 6 Months - Long Term

Location: Washington, DC 20433

Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.

Background

Client is modernizing the EDGE V4 Calculation Engine to replace the current Excel-dependent approach with a scalable, configurable, maintainable, and version-ready backend platform. Seeking Python Developers to support the design, development, testing, integration, deployment, and ongoing enhancement of the calculation engine. The work covers modular APIs and calculation services for energy, water, materials, embodied carbon, cost-related calculations, baseline standards, scenario simulation, explainability, anomaly handling, and related data services. The developers will collaborate with building science experts, product owners, architects, user experience teams, quality assurance teams, and DevOps teams to deliver accurate, traceable, secure, and production-ready services.

SCOPE OF WORK

• Design, develop, enhance, and support modular Python services and REST APIs for the EDGE V4 Calculation Engine.


• Translate validated building science formulas, rules, assumptions, and dependency flows into accurate, maintainable, and testable Python components.


• Develop and integrate calculation capabilities for energy, water, materials, embodied carbon, baseline standards, scenario simulation, explainability, anomaly management, and cost-related functions as prioritized by the product backlog.


• Build reusable calculation libraries, data models, validation rules, configuration services, and version-controlled datasets using Python, FastAPI, Pydantic, SQL, and PostgreSQL or approved equivalent technologies.


• Integrate calculation services with the EDGE V4 application through well-defined API contracts, structured inputs and outputs, secure authentication, and reliable error handling.


• Optimize calculation performance, database queries, caching, asynchronous processing, and service scalability for global usage and high-volume calculation scenarios.


• Create and maintain automated unit, integration, regression, and API tests using PyTest or approved equivalent frameworks; support system integration testing and user acceptance testing.


• Maintain technical documentation, API specifications, calculation traceability, data dictionaries, setup guides, deployment notes, and support runbooks.


• Participate in solution design, code reviews, backlog refinement, sprint ceremonies, release planning, deployment, defect resolution, and post-deployment support.


• Implement production-grade logging, monitoring, auditability, exception handling, retries, configuration management, and operational support procedures.

SKILLS / EXPERIENCE REQUIRED

• Minimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.


• Strong proficiency in moder Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.


• Hands‑on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.


• Strong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.


• Proven ability to identify opportunities for engineering automation and productivity improvements using AI, Generative AI, intelligent agents, scripting, and developer tooling; experience delivering practical solutions that reduce manual effort, improve code quality, accelerate testing, and enhance team effectiveness.


• Experience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.


• Experience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.


• Experience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.


• Experience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.


• Strong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.


• Working knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.


• Ability to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.


• Excellent analytical, documentation, communication, and problem‑solving skills, with experience working in Agile and multicultural delivery teams across time zones.

EEO

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.