Lead Engineer/Solution Architect
Job Description
Position Overview
About EVPassport: EVPassport is the EV Charging hardware and software platform for purpose-driven organizations. Brands committed to sustainability rely on EVPassport to provide their customers with the most seamless payment experience to charge any electric vehicle without requiring a separate app, account or a top-up balance. EVPassport is the only platform that enhances customer engagement by providing custom branded hardware with API-powered software that easily integrates with existing applications and services. Operating in the United States, Canada, and Mexico, EVPassport offers a leading end-to-end EV Charging solution to enterprise businesses.
EVPassport is building the infrastructure that will power the next decade of growth—unifying operational systems, data pipelines, and internal APIs into a scalable, reliable, and future-proof platform. We are seeking a visionary and hands-on Lead Solution Architect to define, build, and own the technical backbone that supports all operational functions at EVPassport.
Key Responsibilities
- Define, design, and own the end-to-end architecture for EVPassport's internal operational systems, data infrastructure, and integration layer.
- Build and govern a unified internal source-of-truth architecture, ensuring data consistency, lineage, and reliability across all business systems (e.g., CPMS, ERP, CRM, payments, support).
- Architect scalable internal infrastructure—including APIs, event-driven services, data schemas, pipelines, and metadata frameworks—to support AI readiness, analytics, and automation.
- Drive the creation of reusable internal data models, shared services, and connectors that standardize how operational data flows across systems.
- Ensure our infrastructure is highly performant, resilient, secure, and designed to support rapid growth with minimal friction.
- Lead the design, governance, and evolution of internal and external APIs to support clean, normalized data exchange across platforms.
- Define integration patterns and frameworks for data ingestion, transformation, and synchronization between EVPassport systems and third parties.
- Oversee the data architecture that powers BI, AI/ML, and real-time operational insights, including schemas, storage strategy, and event architectures.
- Ensure data flows meet enterprise-grade expectations for accuracy, observability, compliance, and security.
- Provide hands-on architectural leadership to engineering teams, shaping best practices around service design, CI/CD, infrastructure-as-code, and systems observability.
- Conduct deep technical reviews, guide high-impact implementation decisions, and deliver proof-of-concepts to de-risk architectural choices.
- Own platform-wide non-functional requirements (NFRs) such as reliability, scalability, throughput, latency, failover design, and cost efficiency.
- Evaluate and introduce new infrastructure technologies, automation tools, and cloud capabilities that accelerate development velocity and reduce operational overhead.
- Serve as the technical bridge between Product, Engineering, Data, and Operations teams—translating requirements into system designs and long-term architectural strategy.
- Partner with business leaders to ensure operational workflows, data structures, and platform capabilities scale with EVPassport's growth.
- Collaborate with Data, AI, and Engineering teams to ensure the platform supports autonomous operations, predictive insights, and next-generation customer experiences.
- Undertake additional projects as may be assigned by the Company.
Required Qualifications
- 8+ years in Software Development, Platform Engineering, or Systems Architecture, ideally within high-growth SaaS, PaaS, or data-intensive environments.
- 3+ years in a Lead Engineer, Principal Engineer, or Solution Architect role, driving architecture for distributed systems and complex integrations.
- Expertise in designing and operating microservices, distributed systems, event-driven architectures, and modern cloud infrastructure (AWS, GCP, or Azure).
- Proven experience designing, governing, and scaling internal and external API ecosystems (REST, GraphQL, or event-driven APIs).
- Strong understanding of data modeling, data pipelines, metadata management, schema governance, and building clean, reliable datasets at scale.
Preferred Qualifications
- Experience in EV charging, IoT, energy, or other high-volume telemetry environments.
- Familiarity with device protocols such as OCPP 1.6+ or similar M2M/IoT communication standards.
- Experience architecting AI-ready systems or embedding automation frameworks into operational workflows.
- Exceptional communication, cross-functional leadership, and the ability to influence technical and non-technical stakeholders.
- Bachelor's or Master's in Computer Science, Engineering, or a related technical field—or equivalent practical experience.
- It's a plus:
- Knowledge of electric vehicles and charging dynamics.
- Industry expertise.
- Start-up mentality.
Benefits & Perks
- Health Care Plan (Medical, Dental & Vision)
- 401k
- Paid Time Off
- Paid Holidays