2 months ago
Singapore, SingaporeSenior
Responsibilities
- Own the end-to-end evolution of the evaluation platform, including step-level evaluation, automated regression analysis, and production release quality gates.
- Build data governance and security capabilities including real-time PII and sensitive-data masking, schema synchronization, data ownership, versioned data dictionaries, auditing, and least-privilege access interfaces.
- Design and ship reusable SDKs, workflow definitions, dataset/model/metric management APIs, and observability instrumentation.
- Define and enforce SLAs, build alerting and incident-analysis tooling, and improve platform reliability and release decision quality.
- Apply machine-learning and LLM techniques to evaluation and governance problems where they outperform rule-based approaches.
- Use AI-assisted tools for coding, debugging, analysis, documentation, and incident investigation.
Requirements
- At least 5 years of backend or platform engineering experience, including at least 3 years designing and operating complex distributed systems in production.
- Strong proficiency in Go and/or Java.
- Experience building shared SDKs, reusable platform components, and production microservices operated at scale.
- Experience with Kubernetes, Docker, HTTP/gRPC, retries, rate limiting, circuit breaking, authentication, and fault isolation.
- Strong knowledge of database design, high availability, transaction isolation, idempotency, eventual consistency, observability, alerting, and incident analysis.
- Hands-on experience with workflow orchestration such as Argo Workflows and automated evaluation or validation systems.
- Experience with secure production-data access, access control, auditing, data ownership, retention policies, least-privilege design, and PII or sensitive-data masking in regulated or compliance-conscious environments.
- Experience with modern data infrastructure and processing frameworks such as Spark/Flink, Snowflake, Databricks, and Athena, plus familiarity with data warehouses, data lakes, or data governance.
Benefits
- Employee Stock Ownership Plan (ESOP).
- Medical insurance and WICA coverage for all full-time employees.
- Access to AI productivity tools including Gemini and Claude Code.
- Top-spec laptops, high-performance workstation setups, and Plaud devices for new hires.
- Annual company offsites and team events.
- Market-competitive compensation and global exposure.
Tech Stack
Categories
About Plaud
Plaud builds AI-powered hardware devices and companion apps that capture, transcribe, and summarize meetings and other conversations for professionals. The company sells its consumer electronics and meeting software directly, with subscription services layered on its devices and cloud platform. Founded in 2021 and headquartered in San Francisco, Plaud is privately held and lists SOC 2, HIPAA, GDPR, and ISO 27001/27701 compliance.