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    Senior Backend Engineer

    Build and scale the platform infrastructure that compliance teams depend on. Design APIs, data pipelines, and backend services that handle enterprise compliance workflows reliably, at any scale.

    Full-Time Remote / Tallinn, Estonia Engineering
    The Company

    About Whisperly

    Whisperly is the AI-powered GRC platform built for privacy, risk, and AI governance. We automate the heavy lifting of compliance, turning GDPR, the EU AI Act, ISO 42001, and more into structured, auditable workflows that enterprise teams can actually rely on.

    We are a lean, focused team in Tallinn moving fast and building for scale. Backend engineers here own critical infrastructure end-to-end, and the work you do directly shapes the reliability and performance that our customers depend on every day.

    The Role

    What You'll Do

    As Senior Backend Engineer, you will be responsible for the core platform infrastructure that powers Whisperly. You will design and build the systems that process sensitive compliance data at enterprise scale, reliably, securely, and fast.

    • Design, build, and maintain scalable backend services and APIs that power enterprise compliance workflows
    • Architect and operate data pipelines that ingest, transform, and expose compliance data reliably at scale
    • Own the reliability, performance, and observability of core platform infrastructure
    • Collaborate with AI engineers to design backend systems that support ML model serving and integration
    • Define and enforce API contracts that product and frontend teams depend on
    • Lead technical design reviews and contribute to architecture decisions across the engineering team
    • Implement security and data-handling practices appropriate for sensitive enterprise compliance data
    Requirements

    What We're Looking For

    Required

    • 5+ years building production backend systems at scale
    • Deep expertise in API design (REST and/or GraphQL)
    • Strong experience with relational databases, query optimisation, and data modelling
    • Experience designing and operating data pipelines in production
    • Track record of owning reliability: monitoring, alerting, incident response
    • Comfortable in small, autonomous engineering teams

    Nice to Have

    • Background in fintech, regtech, or enterprise SaaS
    • Experience integrating ML model serving into backend infrastructure
    • Familiarity with event-driven architectures and message queues
    • Knowledge of data privacy regulations and secure data handling
    • Experience with multi-tenant SaaS architecture
    Tech Stack

    Tools & Technologies

    We do not require expertise in every tool, but this is what you will be working with:

    Node.js / TypeScriptPythonPostgreSQLRedisREST APIsGraphQLDockerKubernetesAWS / GCPKafka / SQSTerraformDatadog
    Benefits

    What We Offer

    Competitive Compensation
    Competitive salary plus meaningful early-stage equity
    Remote-First
    Fully remote with the option to work from our Tallinn office
    Best-in-Class Tooling
    Hardware budget, cloud credits, and no limitations on tools that matter
    Learning & Growth
    Annual learning budget and conference allowance
    Real Ownership
    Direct influence over architecture and technical direction, no bureaucracy
    Async-First Culture
    Deep work is protected. We default to async and trust you to manage your time