25 days ago
Base Salary
$165k - $248k/yr
Responsibilities
- Lead the design and development of Java and Python microservices and shared libraries for the AI Governance product.
- Build cloud-native applications on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
- Architect reusable reporting, dashboard, semantic-layer, metric-abstraction, query, caching, filtering, and drill-down capabilities.
- Lead Kafka and Apache Flink event-driven integrations that produce dashboard-ready datasets and derived metrics.
- Integrate runtime metrics, logs, traces, alerts, policy decisions, and evidence from AI observability platforms through APIs and data contracts.
- Own technical designs for scalable, secure, reliable systems and partner with frontend engineers on dashboard and visualization experiences.
- Lead architecture discussions, technical planning, multi-quarter roadmaps, and build-versus-reuse decisions across teams.
- Improve defect detection, monitoring, resilience, incident response, and operational maturity.
- Set code-quality standards, conduct reviews of distributed and AI-enabled systems, and guide testing and AI system validation.
- Mentor engineers and promote ownership, learning, and engineering excellence.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related technical or business field.
- 12+ years of professional software engineering and development experience.
- Strong expertise in Java/J2EE, Spring, Python, design patterns, microservices, and cloud-native distributed systems.
- Experience leading reusable platform, reporting, analytics, or data products supporting multiple teams or dashboards.
- Hands-on experience with Cube.js, semantic layers, metric layers, or comparable metric/query abstraction systems.
- Hands-on Apache Flink experience for real-time stream processing, windowed aggregation, event correlation, or derived-metric generation.
- Experience designing Kafka-based event-driven services and data-ingestion pipelines integrating SQL databases, analytical platforms, APIs, and observability systems.
- Strong experience with data modeling, dataset contracts, pre-aggregation, read models, caching, query optimization, and data-quality controls.
- Experience building secure, multi-tenant SaaS platforms with tenant isolation, authentication, authorization, and secure service-to-service communication.
- Experience with AI/LLM platforms and production AI workloads, including model orchestration, RAG, evaluation, guardrails, or runtime observability.
- Understanding of REST, OAuth, JSON, SQL, NoSQL databases, and Python or Bash scripting.
- Experience with CI/CD, automated testing, production monitoring, incident response, Agile development practices, and cloud platforms including Azure, AWS, and Google Cloud.
- Ability to lead multi-quarter roadmaps and align engineering, product, UX, security, platform, and observability teams.
- Preferred experience with OpenTelemetry, VictoriaMetrics, Prometheus/MetricsQL, Grafana Loki/LogQL, Grafana Tempo/TraceQL, Alertmanager, Open Policy Agent, Databricks, Delta Lake, Power BI, dashboard systems, AI governance, model risk management, compliance, GRC, audit evidence, graph data models, SDK telemetry, model gateways, or runtime instrumentation.
- Kubernetes cluster deployment, scaling, and management experience and background in enterprise, regulated, or security-focused environments are highly desirable.
Benefits
- Annual base pay range of $165,000–$247,500 USD for candidates in specified jurisdictions, with possible discretionary bonuses, equity, and/or commissions.
- Comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, and company-paid privacy certification exam fees.
- Office-first culture encouraging three days per week in the office for most roles, with role-specific flexibility confirmed with the recruiter.
Tech Stack
Categories
About OneTrust
OneTrust builds an enterprise data governance and compliance platform used to manage privacy, consent, and AI governance across global operations. Its products span privacy impact assessment and data‑mapping automation, cookie and consent management, vendor risk, subject access requests, incident management, and policy enforcement, sold as subscription software. Founded in 2016 and headquartered in Atlanta, the privately held company serves thousands of organizations worldwide across regulated industries.