Lead Software Engineer (Python/Azure)

Location: US Remote; candidates must be authorized to work in the United States

Salary: $108,476.00–$184,409.00 annually

Company

hirify.global is a global advisory and technology services provider helping clients solve complex challenges through technology and specialized expertise.

What you will do

• Lead hands-on development and continued evolution of the DROP client-facing software product for utility demand-response program planning and evaluation.
• Design, develop, test, document, implement, and maintain user interfaces, APIs, data services, analytical workflows, telemetry processing, reporting, and related utility workflows.
• Modernize existing code to improve maintainability, performance, modularity, security, and reuse.
• Provide technical leadership through design decisions, code reviews, troubleshooting, implementation guidance, mentoring, and coordination of engineering decisions.
• Translate client, product, analytical, and utility needs into technical requirements, acceptance criteria, implementation plans, estimates, and delivery-risk assessments.
• Improve testing, CI/CD, monitoring, deployment, data validation, and integrations with utility platforms, APIs, telemetry feeds, Azure, Databricks, Microsoft Fabric, and Power BI.

Requirements

• Bachelor’s degree in computer science, software engineering, data engineering, engineering, or a related technical field.
• 3+ years of software development or data-product engineering experience, including production web applications in cloud environments.
• Strong experience with Python, SQL, APIs, data pipelines, front-end technologies, and cloud platforms.
• Experience with Git, automated testing, CI/CD, monitoring, troubleshooting, and production support.
• Ability to build reliable, maintainable software, use AI-assisted development tools, and translate product, analytical, and client requirements into technical solutions.
• Must be authorized to work in the United States. The position is not eligible for new H-1B visa sponsorship; candidates with valid work authorization may be considered for a change-of-employer petition subject to policy and immigration requirements.

Nice to have

• Master’s degree in computer science, software engineering, data science, information systems, or a related field.
• Experience with Azure, Azure DevOps, Databricks, Apache Spark, Docker, Power BI, Microsoft Fabric, React, Next.js, FastAPI, .NET, or comparable modern full-stack frameworks.
• Experience building data-intensive SaaS or configurable software using time-series, telemetry, event, AMI, or other high-volume operational data.
• Experience operationalizing machine learning, optimization, generative AI, or agentic capabilities, including evaluation and monitoring.
• Experience integrating software with third-party platforms, APIs, identity services, and client data environments.
• Experience with demand response, distributed energy resources, virtual power plants, DERMS, utility customer programs, or grid-interactive technologies.
• Experience modernizing analytical code, converting data-science workflows into production software, and supporting client-facing technical discussions, proposals, demonstrations, or implementation planning.

Culture & Benefits

• Flexible workplace arrangements and work-life balance.
• Tuition reimbursement and professional development resources.
• 401(k) matching and an Employee Stock Purchase Plan.
• Donation matching and volunteer opportunities.
• Equal-opportunity workplace with reasonable accommodations available throughout the application and employment process.

Hiring process

• Applications must be submitted directly by the applicant; third-party or bot-submitted applications may be excluded.
• Use of AI tools to generate or assist with interview responses is not permitted, except where an accommodation has been arranged in advance.