4 days ago
Base Salary
$193k - $257k/yr
Responsibilities
- Lead the design and development of Java/Python microservices, shared libraries, and cloud-native applications for the AI Governance platform.
- Build reusable reporting, dashboard, semantic-layer, metric-abstraction, query, caching, and drill-down capabilities.
- Develop event-driven integrations using Kafka and Apache Flink to process observability events and generate dashboard-ready datasets and metrics.
- Integrate runtime AI observability data including metrics, logs, traces, alerts, policy decisions, and evidence through APIs and data contracts.
- Own technical design for scalable, secure, reliable, and multi-tenant distributed systems.
- Partner with frontend, UX, Product, Customer Success, security, platform, and observability teams on architecture and product priorities.
- Lead code reviews, testing standards, technical planning, mentoring, architecture discussions, and multi-quarter roadmaps.
- Improve defect prevention, monitoring, resilience, operational maturity, and incident response practices.
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, aggregation, event correlation, or derived-metric generation.
- Experience designing event-driven services and ingestion pipelines with Kafka, SQL databases, analytical platforms, APIs, and observability systems.
- 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 orchestration, RAG, evaluation, guardrails, or runtime observability.
- Understanding of OAuth, JSON, SQL, NoSQL databases, and Python or Bash scripting.
- Experience with automated testing, production monitoring, incident response, Agile development practices, Azure, AWS, Google Cloud, and open-source technologies.
- 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, Kubernetes, AI governance, model risk management, compliance, GRC, audit evidence, regulatory reporting, graph data models, SDK telemetry, model gateways, or regulated environments.
Benefits
- Comprehensive healthcare coverage, flexible paid time off, equity RSUs, annual performance bonus opportunities, retirement account support, and 14+ weeks of paid parental leave.
- Career development opportunities and company-paid privacy certification exam fees.
- Office-first culture with encouragement to work three days per week in the office for most roles, with role-specific flexibility confirmed with the recruiter.
Tech Stack
Categories
BackendData Engineering
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.