Hire Electric Vehicle Charging Billing Engine Devs

Electric Vehicle Charging Billing Engine Developers in 48h Smartbrain.io delivers pre-vetted Python specialists who have shipped kilowatt-hour billing to production. Our unique developer marketplace lets CTOs hire in an average of 3.8 days. • First candidates in 24h • Senior-level vetting by architects • Month-to-month flexibility

Cut burn, not corners. With outstaffing you pay only for productive coding hours—no recruiting fees, no idle benches, no payroll tax.

Keep velocity high. Our pre-screened Python engineers join your sprint board in 3-5 days, already fluent in OCPP, kWh metering, and tariff engines, so your in-house team stays focused on road-map features instead of interviewing.

Stay elastic. Scale squads up or down monthly—perfect for pilot roll-outs, firmware updates, or seasonal demand spikes in electric vehicle charging billing engines.

Faster Time-to-Hire

Cost Efficiency

Domain Experts

24/7 Development

Elastic Scaling

Reduced HR Overhead

No Payroll Taxes

Immediate Replacement

Focus Core Product

Proven EV Portfolio

Global Talent

Secure IP

What Engineering Leaders Say

“We plugged Smartbrain’s Python trio into our OCPP stack and saw billing accuracy jump 19% the first sprint. Their rapid onboarding freed my team to finish UI work instead of parsing meter data. Productivity rose and overtime vanished.”

Laura Bennett

CTO

VoltEdge Systems

“Smartbrain supplied a senior Django engineer in 48 hours. Within two weeks our kWh-tariff microservice handled 3× load with zero regressions. The quick hire kept our Series B milestones on track and impressed investors.”

Marcus Hill

VP Engineering

ChargeFleet Inc.

“Their vetted developers integrated with our GitFlow on day one. Automated tests for peak-demand pricing went from 60% to 93% coverage, slashing release risk. Smartbrain outstaffing beats recruitment agencies I tried before.”

Alicia Gomez

Engineering Manager

EcoRoute Logistics

“We replaced legacy PHP with Python FastAPI. Smartbrain’s contractor led the migration, cutting API latency by 42% and trimming AWS spend. The contract flexibility let us ramp down once goals were hit.”

Daniel Carter

Lead Architect

GridPay Solutions

“New state energy mandates meant rewriting our billing audit trail. Smartbrain sourced a specialist familiar with SOC 2 and Python logging best practices. Audit prep time dropped from 3 days to 4 hours.”

Rebecca Lee

Compliance Director

EnerTrack Software

“Our seed-stage startup lacked backend depth. Smartbrain delivered two mid-level Python engineers who built the subscription-plan generator in five weeks. Investors cited the functional demo as key to our $4 M raise.”

Jason Patel

Co-Founder & CEO

WattWave Technologies

Industries We Empower

Smart City Infrastructure

Municipal operators use Python-powered electric vehicle charging billing engine solutions to reconcile kWh usage across thousands of curb-side chargers, apply dynamic congestion tariffs, and export data to city-wide IoT dashboards. Augmented developers ensure secure REST APIs, OCPP compliance, and real-time analytics, letting governments roll out green mobility faster while avoiding costly in-house staffing.

Energy Utilities

Power companies rely on Python data pipelines to merge meter telemetry with pricing models. Our outstaffed engineers optimise peak-demand billing, demand-response incentives, and grid load forecasting, reducing settlement errors and boosting customer satisfaction scores.

Fleet Management

Logistics providers need consolidated invoices for hundreds of vans charging nightly. Python augmentation delivers multi-site billing engines, RFID authentication, and cost split reports that help fleet CFOs control energy spend.

Retail & Hospitality

Malls and hotels monetise EV chargers with Python-based pay-per-use platforms. Developers implement promo-code logic, POS integration, and instant receipts—all while staying PCI-DSS compliant.

Automotive OEM

Car manufacturers bundle home-charger apps written in Python. Augmented teams build subscription plans, over-the-air billing updates, and warranty tracking, shortening time-to-market for new models.

Renewable Micro-Grids

Solar farms couple chargers with onsite generation. Python experts craft net-metering billing engines, battery storage balancing, and carbon credit reporting, maximising ROI on clean energy assets.

FinTech

Payment processors enter EV space needing tokenisation, refund flows, and anti-fraud layers in their charging billing engines. Outstaffed Python talent accelerates regulatory approvals and launch timelines.

Public Transit

Bus operators transition to e-buses and demand per-route energy cost analytics, depot charger scheduling, and subsidy reconciliation, all coded in Python by remote teams that align with night shifts.

Real Estate Developers

Property owners install shared chargers and need tenant billing splits, HOA reporting, and mobile pay portals. Python augmentation handles integration with existing building management systems.

Electric Vehicle Charging Billing Engine Case Studies

Client: US metropolitan municipality.

Challenge: Existing electric vehicle charging billing engine produced 7 % invoice errors across 1 800 curb-side units.

Solution: Two Smartbrain Python seniors refactored tariff modules, added pytest coverage, and deployed a Kafka-based meter ingestion service.

Result: 91 % error reduction, billing run cut from 4 h to 35 min, saving $220 K annually.

Client: National delivery fleet (1 200 EVs).

Challenge: Electric vehicle charging billing engine couldn’t allocate energy costs per vehicle-route.

Solution: Augmented Python squad built a micro-service that fused telematics GPS with charger session data, exposing a REST endpoint for finance dashboards.

Result: 28 % lower cost variance and 3-week reporting cycle removed.

Client: Multi-state mall operator.

Challenge: High cart abandonment on payment page of electric vehicle charging billing engine.

Solution: Smartbrain inserted a Python specialist to implement tokenised one-tap checkout and promo code engine, A/B-tested via Django.

Result: 17 % checkout conversion increase and an extra $1.1 M annual revenue.

Book a 15-Minute Call

120+ Python engineers placed, 4.9/5 avg rating. Get a shortlist of pre-vetted experts who have already shipped high-load electric vehicle charging billing engines. One 15-minute call is all it takes to start seeing candidates.

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Our Core Services

Custom Billing Engines

Design & build scalable Python architectures that calculate kWh, demand charges, and subscriptions in real time. Outstaffed teams deliver unit-tested code, OCPP adapters, and PCI-DSS compliant payment flows—cutting launch time by 60 % versus hiring in-house.

Legacy Refactoring

Replace monoliths with modern FastAPI or Django microservices. Our Python experts migrate data, maintain uptime, and slash cloud costs, allowing CTOs to focus on product innovation, not technical debt.

Data Pipeline & BI

Stream, store, visualise charger telemetry with Python ETL, Spark and Pandas dashboards. Actionable insights reduce energy waste and improve SLA compliance for electric vehicle charging billing engines.

Payment Gateway Integration

Add Stripe, Adyen, or ACH without staffing a full payments team. Developers implement tokenisation, refunds, and dispute automation, keeping revenue flowing and audits clean.

Compliance & Security

Meet SOC 2, ISO 27001, and new utility regulations. Python security specialists harden APIs, encrypt PII, and automate audit logging—avoiding fines and reputational risk.

Performance Optimisation

Cut latency with async I/O, Redis caching, and profiling. Outstaffed engineers routinely deliver 30-50 % faster session processing for high-volume charging networks.

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FAQ

Why use Python for an electric vehicle charging billing engine?

Python offers rich libraries for real-time data processing, mature payment integrations, and rapid development speed, enabling faster rollout of accurate kWh and tariff calculations.

How quickly can Smartbrain provide vetted Python developers?

Average hiring time is 3-5 business days; first CVs usually arrive within 24 hours.

Do augmented developers work in my time zone?

Yes. We source talent willing to overlap at least 4 hours with your core business hours, ensuring smooth stand-ups and code reviews.

Can I scale the team up or down?

Absolutely. Contracts are month-to-month, so you can add or remove Python engineers as project needs change.

How is intellectual property protected?

Every developer signs NDAs and IP assignment agreements; all code is committed to your repositories under your licenses.

What about compliance with OCPP standards?

Our engineers have hands-on experience with OCPP 1.6 & 2.0.1, ensuring your billing engine interoperates with major charger hardware.

Do you offer replacements if a developer underperforms?

Yes. If expectations are not met, we replace the developer within one week at no extra cost.

How are developers screened?

We run multi-stage evaluations: code challenges on energy-billing scenarios, architectural interviews, and soft-skills assessments.

What communication tools do teams use?

Slack, MS Teams, Jira, and GitHub are standard; we adapt to your preferred stack.

Is there a minimum engagement period?

The minimum commitment is one month—ideal for pilots, POCs, or short performance audits.