Senior Backend Engineer

Plaud Inc.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

ESOP

Impactful environment

AI tools

High-end equipment

Team culture

Medical coverage

Job summary

Plaud Inc. is building the next generation intelligence platform and seeks a senior backend/platform engineer in Singapore. You will own end-to-end evolution of the evaluation platform, implement SLA targets, and build reusable platform components used across product and engineering teams.

You will work with Go/Java, Kubernetes/Docker, and modern data tools, shaping data governance, security, and observability. Join a fast-moving team that values ownership and innovation.

Qualifications

• 5+ years backend/platform engineering in production.
• 3+ years designing and operating distributed systems.
• Experience building shared SDKs and platform components.
• Strong DB design, HA, isolation, observability.
• Hands-on with Argo Workflows and automated evaluation systems.
• Secure production data access with auditing and masking.

Responsibilities

• Own end-to-end evolution of the evaluation platform and quality gates.
• Build and operate data governance, masking, and audit controls.
• Design reusable platform capabilities: SDKs and APIs.
• Drive reliability, SLAs, alerting, and incident analysis tooling.
• Apply AI/LLM techniques to replace brittle rules.
• AI-native engineering: use AI tools for coding, debugging, and docs.

Skills

Backend engineering

Distributed systems

Go/Java

Kubernetes/Docker

HTTP/gRPC

Observability

Incident analysis

Data security

Data processing

Tools

Argo Workflows

Spark/Flink

Snowflake

Databricks

Athena

Job description

About Plaud Inc.

Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations - so humans can think better, decide faster, and execute with clarity.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human-AI intelligence through a hardware-software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection. To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube.

Why You Should Join Us

Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.

• Plaud is a bootstrapped, skyrocketing, profitable company with a $300M revenue run rate achieved in just three years.

• Define the next-gen paradigm for human-AI interaction.

• Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.

• Work with passionate teammates who value innovation, collaboration, and customer success.

• Grow your career in a culture that champions continuous learning and fast career development.

• Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

What you will do

• Own the end-to-end evolution of the evaluation platform: design and deliver step-level evaluation, automated regression analysis, and release quality gates that enforce production-grade standards across product and engineering teams; benchmark architecture and reliability against SOTA platform engineering practice at companies such as Grab and Sea.

• Build and operate the data governance and security layer: deliver real-time PII/sensitive-data masking, schema synchronization, data ownership, versioned data dictionary, audit controls, and least-privilege governed access interfaces for AI Agents and internal tools - with no direct database connections and full auditability.

• Design and ship reusable platform capabilities: shared SDKs, common workflow definitions, dataset/model/metric management APIs, and observability instrumentation that reduce per-team integration effort and enable new evaluation data sources to be onboarded within 1 day.

• Drive platform reliability and observability: define and enforce SLA targets, build alerting and incident-analysis tooling, and establish quality-gate mechanisms that make evaluation results a trusted signal for release decisions.

• Apply AI/LLM techniques where they replace brittle rule-based logic: identify evaluation or governance sub-problems where ML/LLM approaches outperform hand-crafted rules, prototype and validate them, and integrate proven approaches into the platform.

• AI-native engineering: Actively uses AI-assisted tools for coding, debugging, analysis, documentation, and incident investigation to improve engineering efficiency and quality.

Skills, qualifications and experience we look for

• 5+ years of backend/platform engineering experience, including 3+ years designing and operating complex distributed systems in production; strong proficiency in Go and/or Java.

• Demonstrated experience building shared SDKs, reusable platform components, and production microservices with Kubernetes/Docker, HTTP/gRPC, retries, rate limiting, circuit breaking, auth, and fault isolation - shipped and operated at scale, not prototype-only.

• Strong command of database design, high availability, transaction isolation, idempotency, eventual consistency, observability, alerting, and incident analysis; able to reason from first principles about failure modes and recovery paths.

• Hands-on experience with workflow orchestration (e.g. Argo Workflows) and automated evaluation or validation systems, including execution, comparison, reporting, and quality gates.

• Proven experience with secure production-data access patterns: access control, auditing, data ownership, retention policies, least-privilege design, and PII/sensitive-data masking in a regulated or compliance-conscious environment.

• Experience with modern data infrastructure and processing frameworks such as Spark/Flink, Snowflake, Databricks, and Athena; familiarity with data warehouse, data lake, or data governance practices, including building data systems that are manageable, traceable, access-controlled, and secure.

What we offer

• Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud's long-term success.

• High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.

• Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Gemini, Claude Code, and other frontier AI systems to maximize engineering and execution efficiency.

• Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.

• Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.

• Medical & Insurance Coverage Comprehensive benefits to protect our employees' financial security, physical health, and longterm growth. Medical insurance and WICA coverage for all full-time employees.

Disclaimer: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.