Architect Engineer - ELR

Accountabilities:

As the technical authority for the ELR ecosystem, you will define scalable architecture, build foundational platforms, and raise engineering standards across a globally distributed environment.

• Lead the technical vision, architecture, and evolution of distributed, multi-tenant ELR cloud services supporting millions of real-time transactions across global jurisdictions.
• Design ultra-low-latency, fault-tolerant ingestion pipelines, transformation engines for XML, JSON, UBL, and CII, digital signature services, and automated tax authority gateways.
• Architect systems for strict auditability, 99.99%+ availability, multi-region active-active deployments, and data residency and compliance isolation.
• Build self-service integration frameworks, developer toolkits, onboarding accelerators, APIs, webhooks, SDKs, and event-driven integration patterns.
• Develop automated data mapping, schema validation, and format translation capabilities for major ERP, billing, and custom enterprise environments, including SAP, Oracle, Microsoft Dynamics, and NetSuite.
• Create interactive testing, simulation, and validation sandboxes that allow customers to model country-specific regulatory flows and tax authority responses before production deployment.
• Write production-grade foundational code, reference implementations, SDKs, and architectural prototypes while driving rigorous design and code reviews.
• Identify performance bottlenecks, systemic risks, and technical debt, and lead architectural improvements that strengthen scalability and operational resilience.
• Design and integrate AI-powered capabilities such as automated schema mapping, predictive error remediation, anomaly detection, regulatory data extraction, and conversational onboarding assistants.
• Establish responsible AI architecture and security standards for backend pipelines and developer tooling.
• Mentor senior engineers through technical coaching, architectural guidance, and hands-on collaboration across global teams.
• Establish engineering standards covering API design, observability, automated testing, documentation, and operational excellence.
• In the first 6–12 months, establish a unified architectural roadmap, reduce enterprise onboarding and integration friction, modernize core processing engines, and embed AI-driven automation into integration workflows.

Requirements:

The ideal candidate is an experienced hands-on architect and software engineer with a strong track record of designing large-scale distributed systems, developer platforms, and enterprise integrations. You should be comfortable navigating complex regulatory requirements while translating them into robust, scalable technical solutions.

• 15+ years of hands-on software engineering experience, including extensive experience designing and operating large-scale distributed cloud systems.
• Proven experience building developer tools, integration platforms, self-service onboarding systems, or enterprise integration middleware.
• Strong proficiency in modern backend languages and runtimes such as Java, C#/.NET Core, Go, or Python.
• Deep expertise in API design, including REST, GraphQL, and gRPC.
• Strong knowledge of event-driven architectures and technologies such as Kafka, EventBridge, and RabbitMQ.
• Extensive experience with microservices architecture and distributed system design patterns.
• Expertise in complex schema definitions, validation, and payload transformation, including XML/XSD, JSON Schema, UBL, and EDI.
• Extensive AWS or other major cloud provider experience, combined with modern DevOps practices using technologies such as Terraform, Docker, Kubernetes/ECS, and CI/CD.
• Ability to translate complex business and regulatory requirements into clear software abstractions and scalable technical architectures.
• Experience with E-Invoicing, Live Reporting, Peppol, EDI/B2B data exchange, fintech, compliance, or tax technology is strongly preferred.
• Experience building ERP connectors or middleware integrations for platforms such as SAP, NetSuite, Workday, Dynamics 365, or Oracle is a strong advantage.
• Experience with data sovereignty, digital signing, PKI, HSM, X.509 certificates, and cryptographic verification requirements is preferred.
• Experience integrating generative AI or machine learning models into production data pipelines or developer tooling is beneficial.
• Strong builder mindset with a passion for coding, architecture, technical problem-solving, and hands-on individual contribution.
• Demonstrated ability to mentor engineers, influence technical direction, collaborate across distributed teams, and lead without relying on formal authority.
• Comfortable working in a fast-changing environment that values ownership, adaptability, curiosity, humility, urgency, and simplicity.

Benefits:

• Competitive compensation package.
• Paid time off.
• Paid parental leave.
• Eligibility for bonuses for many employees.
• Benefits that generally include private medical, life, and disability insurance, depending on location.
• Inclusive and collaborative culture with employee-run resource groups supported by senior and executive leadership.
• Opportunity to work in an AI-first environment where AI is integrated into workflows, products, and everyday business challenges.
• Exposure to global engineering teams and complex international technology and regulatory challenges.
• Opportunity to shape next-generation platforms at the intersection of cloud engineering, enterprise integration, compliance, and AI.