Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Software Engineer role.

Rezi rewrites your resume against Cypress Creek Renewables's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Software Engineer posting at Cypress Creek Renewables — free, in seconds.

About the Role

The Software Engineer is responsible for building and maintaining the backend services and APIs that Cypress Creek Energy’s business runs on, and for applying machine learning and data science techniques to the forecasting and analytical challenges the business depends on. The role spans the full lifecycle: gathering requirements from business stakeholders, designing and implementing backend services and models, shipping them through the deployment pipeline, and supporting them in production. This role pairs deep backend software engineering with applied machine learning.

Responsibilities

Design, build, test, and maintain backend services, APIs, and internal applications.
Write clear, well-tested, maintainable code and participate actively in code review.
Translate business requirements into technical designs.
Contribute to the team's engineering standards, shared libraries, and services.
Deploy and operate services in production including monitoring and triage of failures.
Diagnose issues across service boundaries and resolve root causes.
Maintain and improve CI/CD pipelines and deployment configuration for the services you work on.
Apply machine learning and statistical modeling techniques to forecasting models and other data science initiatives.
Build and maintain integrations between internal applications and enterprise systems.
Perform exploratory data analysis, feature engineering, and model validation using scientific Python tooling.
Design and evolve data models in the company's analytical data platform and write efficient queries against large datasets.
Build and maintain data pipelines and services that ingest, transform, and serve data from internal and third-party sources.
Move ML models from prototype to production: package, deploy, monitor, and retrain models as part of the services you own.
Partner directly with business users to understand their workflows and turn ambiguous needs into working software.
Support internal users of the applications you own, including troubleshooting unexpected results and explaining technical behavior to non-technical audiences.
Produce and maintain documentation that lets business users work independently and allows other engineers to pick up your work.
Identify and address technical debt, manual processes, and operational pain points in the systems you work on.
Evaluate new tools, libraries, and approaches, and make the case for adoption where they meaningfully improve the team's output.
Contribute to a culture of clear documentation, code quality, and engineering discipline across the team.

Requirements

3-6 years of professional software engineering experience with backend development in Python.
Experience designing, building, and consuming APIs.
Experience applying machine learning or statistical modeling techniques.
Experience with scientific or numerical Python (numpy, pandas, and related tooling).
Experience with databases, including schema design, migrations, and query performance.
Background in renewable energy development and/or operations.
Demonstrated ownership of software in production, including debugging and resolving live issues.
Strong written communication skills; able to document technical work and explain it clearly to non-technical audiences.
Judgment to distinguish problems that warrant a robust engineered solution from those that need a fast, correct answer today.
Ability to manage ambiguity and drive work to completion with limited direction.
Experience with cloud infrastructure (AWS) and container orchestration (Kubernetes).
Working knowledge of containers and CI/CD.
Experience integrating with Salesforce or a comparable enterprise system of record.
Familiarity with energy modeling.
Experience with ML frameworks and libraries (for example, scikit-learn, PyTorch, or TensorFlow) or time-series forecasting methods.
Embrace and live by the mission and values of Cypress Creek Energy.

Skills

Python
Backend development
API design, building, and consumption
Machine learning
Statistical modeling
Forecasting
Predictive modeling
Data science
Scientific Python (numpy, pandas)
Databases
Schema design
Migrations
Query performance
Renewable energy development
Solar development
Energy modeling
Performance engineering
Asset management
Production software ownership
Debugging
Issue resolution
Written communication
Technical documentation
Ambiguity management
AWS
Kubernetes
Containers
CI/CD
Salesforce integration
ML frameworks (scikit-learn, PyTorch, TensorFlow)
Time-series forecasting

Location

Durham, NC
Washington, DC

Work Type

Hybrid

Experience Level

3-6 years of professional software engineering experience

Salary/Compensations

$120,000 - $150,000
Eligible for an annual bonus

Benefits

15 days of Paid Time Off, accrual up to 20 days
11 observed holidays
401(k) Match
Comprehensive package including medical, dental, vision and health insurance
Wellness stipend
Family planning stipend
Generous parental leave
Tuition Reimbursement
Phone Bill Reimbursement
Company Swag

About the Company

The energy industry is entering one of the most significant periods of growth and transformation in its history.
Cypress Creek Energy is developing and operating the energy infrastructure needed to power communities, support economic opportunity, and strengthen resilience.
We believe our responsibility extends beyond the grid and that how we build matters just as much as what we build.
We invest in professional growth, encourage collaboration across teams, and provide opportunities to take ownership, expand your expertise, and advance your career.
Our culture is grounded in safety, accountability, respect, and a shared commitment to deliver results.

Equal Opportunity

Cypress Creek Energy is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
We are committed to providing a workplace that is inclusive and values diversity, and we encourage candidates from all backgrounds to apply.